Supplementation alpha glycerol monolaurate during late gestation and lactation enhanced sow performance, ameliorated milk composition, and improved growth of suckling piglets

Supplementation alpha glycerol monolaurate during late gestation and lactation enhanced sow performance, ameliorated milk composition, and improved growth of suckling piglets | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Supplementation alpha glycerol monolaurate during late gestation and lactation enhanced sow performance, ameliorated milk composition, and improved growth of suckling piglets Longxian Li, Huakai Wang, Shuang Dong, Yongxi Ma This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2116106/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 05 Apr, 2023 Read the published version in Journal of Animal Science and Biotechnology → Version 1 posted 5 You are reading this latest preprint version Abstract Background : Physiological changes during lactation cause oxidative stress in sows, reduce immunity, and hamper the growth capacity of piglets. Alpha glycerol monolaurate (α-GML) has potential for improving the health of sows and the growth of suckling piglets. Methods : Eighty sows were allocated randomly to four groups: basal diet and basal diets supplemented with 500, 1000, or 2000 mg/kg α-GML. The experiment started on d 85 of gestation and lasted until piglets were weaned on d 21 of lactation. The number of live-born piglets was standardized to 12 ± 1 per sow on day of parturition. On d 0 and 21 of lactation, body weight of piglets was measured and milk samples were obtained from sows, and serum samples and feces from piglets were obtained on d 21. Results : Feed intake, backfat loss, and weaning estrus interval did not differ among the four groups of sows. Maternal α-GML supplementation increased ( P < 0.05) the body weight of piglets at weaning. The IgA and IgG levels were greater ( P < 0.05) in a quadratic manner in the milk of sows as dietary α-GML increased. Concerning fatty acid profile, C12:0, C15:0, C17:0, C18:2n6c, C18:3n3, C24:0, and C22:6n3 were higher ( P < 0.05) in linear and quadratic manners in colostrum of sows-fed α-GML diets compared with the control sows. There was lower ( P < 0.05) n-6: n-3 polyunsaturated fatty acid (PUFA) ratio in milk than in the control sows. Maternal α-GML increased the abundance of Firmicutes ( P < 0.05) and decreased the abundance of Proteobacteria ( P < 0.05) of piglet fecal microbiota. Conclusions : Dietary supplementation with α-GML improved milk immunoglobulins and fatty acids of sows, thereby improving the health and growth of piglets. Alpha glycerol monolaurate Fatty acid Immune status Microbiota Sows Suckling piglets Figures Figure 1 Figure 2 Background Litter size and weaning weights are the main parameters that define productivity and profitability on pig barn [ 1 ]. Improvements in swine genetics [ 2 ], management [ 3 ], and nutrition [ 4 ] have increased the number of weaned piglets per litter [ 5 ], which are associated with larger litter size, pre-weaning survival and weaning weight. Three-quarters of fetal weight gain occurs in the last quarter of pregnancy, during which sufficient nutrient is required to meet the needs of the sow [ 6 ]. it is important to provide adequate nutrients or nutritional interventions through late pregnancy and lactation. Studies have found that dietary supplementation of fatty acids during late pregnancy and/or lactation can increase the overall litter growth and pig weaning weights [ 7 ], reduce body weight loss during lactation and shorten the weaning-to-estrus interval [ 6 ]. Furthermore, the type and amount of fat in daily feed rations also affect the sow milk yield and the milk fatty acids profile [ 8 ]. Alpha glycerol monolaurate (α-GML) is an α-monoglyceride of medium-chain fatty acid (MCFA) lauric acid and is recognized by the US Food and Drug Administration (FDA) as a Generally Recognized as Safe (GRAS) food emulsifier [ 9 ]. As a natural and edible lipid, α-GML possesses multiple pharmacological and biological activities, including excellent antibacterial and antiviral properties. The strong antibacterial properties of GML make it widely used in food preservation and medicine [ 10 – 12 ]. Moreover, in vitro study showed that GML inhibited the infectivity and transmission of the African swine fever virus (ASFv) in feed [ 13 ]. A recent study reveals that GML can be used as an effective feed additive to improve animal growth performance and quality control [ 14 ]. Our previous study has demonstrated that dietary 1000 mg/kg α-GML supplementation significantly reduces diarrhea rate, improves intestinal morphology, nutrient digestibility, antioxidant capacity, and immune status, and ameliorates gut microbiota in weaned piglets [ 15 ]. It is reported that the addition of 2000 mg/kg GML in a low protein diet could improve the intestinal tight junction barrier function and immune status of weaned piglets [ 16 ]. The present study aimed to determine the effect of maternal α-GML supplementation during gestation and lactation on the reproductive performance of sows, the fatty acids profile of milk, and the serum immunoglobulins and fecal microbiota of piglets, to validate the hypothesis that α-GML would improve milk quality in lactating sows, thereby improving neonatal health and growth, and α-GML might be an effective feed additive in antibiotics-free diet for swine production in China. Methods The experimental protocol of this study was following the Guide for the Care and Use of Laboratory Animals prepared by the Institutional Animal Care and Use Committee of China Agricultural University. This experiment was conducted in the FengNing Swine Research Unit of China Agricultural University (Academician Workstation in Chengde Jiuyun Agricultural and Livestock Co., Ltd., Hebei, China). The product α-GML was provided by Zhejiang Libiduo Biotechnology Co. Ltd and contained 85% α-GML. Animals and experimental design Fifth or sixth parity sows (n = 80; Landrace × Large White) with similar backfat (BF) thickness were assigned randomly to one of four treatments: control diet (corn-soybean basal diet, n = 20), 500 mg/kg α-GML diet (basal diet + 500 mg/kg α-GML, n = 20), 1000 mg/kg α-GML diet (basal diet + 1000 mg/kg α-GML, n = 20), and 2000 mg/kg α-GML diet (basal diet + 2000 mg/kg α-GML, n = 20). Each treatment (Table 1) consisted of a gestation and a lactation diet and were formulated to meet nutritional requirements of late gestation (day 85 of gestation to parturition) and lactation sows according to the recommendations by the National Research Council [17]. Sows were housed individually in stalls from day 85 to day 107 of gestation on partially slatted concrete floors and ingested a total of 2.5 kg diet daily (9:00 and 15:00). Then, sows were moved to farrowing stalls on day 107 of gestation and ingested 2.76 kg of daily diet (9:00 and 15:00) from day 107 of gestation to parturition. Sows were offered approximately 0.5 kg on the first day after farrowing and then fed daily feed allotment was increased 1.0 kg more every day until maximum feed intake was reached. When maximum feed intake was achieved, sows were allowed ad libitum access to feed. Throughout the experiment, sows and piglets were allowed ad libitum access to water. On the day of farrowing (day = 0), litter size was adjusted to 12 ± 1 piglets by cross-fostering within dietary treatment. The ambient temperature in the farrowing room for sows was maintained at 20-23℃. Heat lamps were used to provided heat to neonatal pigs. The suckling piglets underwent routine tooth clipping, tail removal, subcutaneous iron dextran injections, and immunization. During the entire experiment, sow's milk was the sole food source for suckling piglets. Feed intake of the sows was recorded daily to allow calculation of average daily feed intake (ADFI) during the entire lactation period, and piglets were weighed at birth and day 21 of lactation. The growth performance and survival rates of sucking piglets were determined. Backfat thickness (P2, 6 cm from the midline at the head of the last rib) of sows at day 110 of gestation and day 21 of lactation was measured using an ultrasonic device (Piglog105; SFK Technology A/S, Herlev, Denmark) to assess the body condition of sows. Collection of colostrum and milk from sows Six sows from each group were randomly selected by injection of 10 IU oxytocin via the ear vein to induce milk letdown into the teat canal on day 0 (colostrum) and 21 (milk) of lactation. Milk samples were collected from different mammary glands (front, middle, and rear), and equal volumes (15 mL) of milk from three glands of a sow were mixed, and the samples were stored at –20℃ frige for subsequent analysis. Collection of blood samples from piglets Blood samples (2 mL) were obtained from six randomly piglets each group via the jugular vein using non-heparinized vacutainer tubes on day 21 of lactation. Serum samples were harvested for each blood sample after centrifugation at 3,000 × g for 15 min, and were stored at –20℃ frige for subsequent analysis. Collection of fecal samples from piglets Six piglets each group were used to collect fresh feces by the rectal palpation method on day 21 of lactation. Fecal samples were immediately frozen in liquid nitrogen and placed at -80℃ frige for subsequent analysis. Analysis of immunoglobulin in colostrum and milk The concentrations of immunoglobulin A (IgA), immunoglobulin G (IgG), and immunoglobulin M (IgM) in colostrum and milk were determined according to Che et al. [18]. Briefly, the optical density values of IgA, IgG and IgM standards were measured at 340 nm, 700 nm, and 340 nm using a UV-2401PC (Shimadzu Co., Japan UV-VIS recording spectrophotometer), and the concentration of each immunoglobulin was calculated by standard curve. Analysis of fatty acid profiles in colostrum and milk For analysis of fatty acid composition, milk samples (1 g) were transferred to a 25 mL Teflon-lined tube and neutralized with 4 mL of n-Hexane:isopropanol (3:2) and 2 mL of sodium sulfate (6.67%). After centrifugation at 5,000 × g for 10 min, all supernatants were transferred to a 20 mL hydrolysis tube, 200 µL of C11:0 internal standard was added, and dry with mixed nitrogen. Add 4 mL of hydrochloric acid methanol (3 mol/L) solution to the hydrolysis tube and tighten the cap, then reflux in a water bath at 80℃ for 2 h. After the water bath, 5 mL of 7% K 2 CO 3 and 3 mL of hexane were added to the hydrolytic tube, mix by vortexing, centrifuged at 1,000 × g for 1 min, and about 1 mL of the upper liquid was filtered into a 1.5 mL glass bottle with a filter (filter pore size of 0.22 μm). Finally, the fatty acid methyl ester dissolved in the supernatant was analyzed by gas chromatography-mass spectrometry using Agilent 7890 B (Agilent Technologies, Palo Alto, CA) gas chromatograph and Agilent Technologies (60 m × 250 μm × 0.25 μm) column. Fatty acids were expressed as the proportion of each individual fatty acid to the total amount of all fatty acids in the sample. n-3 polyunsaturated fatty acid (PUFA), n-6 PUFA, and n-6: n-3 PUFA ratio were calculated. Analysis of immunoglobulin in serum Concentrations of IgA, IgG, and IgM were analyzed using ELISA kits validated for swine (CUSABIO Biotech Company, Wuhan, China) according to methods described [6]. Fecal microbial flora composition Total feces bacterial DNA (n = 6) was extracted according to the manufacturer's instructions of the Qiagen QIAmp DNA stool extraction kit (Qiagen). The V3-V4 hypervariable regions of bacterial 16S rRNA were amplified by a PCR system using universal primers 338F (5'-ACTCCTACGGGAGGCAGCAG-3') and 806R (5'-GGACTACHVGGGTWTCTAAT-3'). The PCR amplification procedures were set in ABI GeneAmp ® 9700 system (ABI, USA) as follows: predenaturation (95℃, 3 min), amplification (95℃, 30 s; 55℃, 30 s; 72℃, 45 s; a total of 27 cycles), extended (72℃, 10 min) [19]. The paired-end reads of pooled purified amplicons were sequenced on the Illumina MiSeq PE300 platform (Illumina, San Diego, CA). The original sequences were demultiplexed, quality filtered, trimmed, and denoised using Trimmomatic and merged according to the overlapping relationship by FLASH software (v1.2.11, http://ccb.jhu. Edu/software /FLASH/index.shtml) [20]. The operational taxonomic units (OTUs) with 97% similarity threshold were clustered Using UPARSE (version 7.1, http://drive5.com/uparse/) and their representative sequence categorized and analyzed by the RDP Classifier (http://rdp. cme.msu.edu/) against the Silva (SSU128) 16S rRNA database with a confidence threshold of 70% [17]. The composition and structure of fecal microbiota were analyzed according to the standardized OUT with the QIIME software (version 1.8.0) [21]. The linear discriminant analysis (LDA) effect size (LEfSe) algorithm was applied to identify specific taxa from phylum to genus level among each group of samples. Statistical analysis All data were analyzed using the one-way ANOVA procedure of SPSS statistical software (SPSS 26.0, IBM SPSS Company, Chicago, USA). Each sow (litter) or piglet was considered as the experimental unit. Data were evaluated for normality and homoscedasticity by the Shapiro-Wilk and Levene's tests, respectively. The linear and quadratic effects of different α-GML levels were determined using orthogonal polynomials for reproductive performance, concentrations of immunoglobulin and fatty acid composition of sows in milk, and serum antioxidant capacity and immunoglobulin levels of piglets. The bacterial community at the phylum, genus, and species level were analyzed by non-parametric factorial Kruskal-Wallis test and unpaired Wilcoxon Comparison test. The data were expressed as mean ± SEM, and differences were considered significant at P < 0.05, and the tendency was declared with 0.05 ≤ P 0.05) in ADFI of sows and weaning estrus interval among the four groups (Table 2). Backfat thickness decreased with advanced lactation as sows mobilizing their body reserves to meet the requirement of milk production. However, the backfat thickness of sows did not differ ( P > 0.05) among groups. Litter size at weaning and average weight at birth of piglets did not differ ( P > 0.05) among treatments. Litter weight at birth and weaning, and average weight at weaning of piglets increased in a quadratic manner ( P < 0.05) as dietary α-GML content increased. Concentrations of immunoglobulin of sows in colostrum and milk The IgA and IgG levels in the colostrum and IgA levels in the milk increased in a quadratic manner ( P < 0.05), whereas the IgG level in the milk increased in linear and quadratic manners ( P 0.05) in concentrations of IgM in colostrum and milk were detected among the four groups of sows. Fatty acid profiles of sows in colostrum and milk Fatty acid profiles in colostrum and milk of sows were summarized in Table 4 and 5. In colostrum, C12:0, C15:0, C17:0, C18:2n6c, C18:3n3, C24:0, and C22:6n3 increased ( P < 0.05) in linear and quadratic manners, C20:3n6 increased in quadratic manner and C20:5n3 increased in linear manner ( P < 0.05), C8:0 decreased ( P < 0.05) in linear manner as dietary α-GML content increased. In milk, C12:0, C18:3n3, and C20:5n3 increased ( P < 0.05) in linear and quadratic manners, C22:0 increased ( P < 0.05) in linear manner, and C23:0, C24:0, and C24:1 increased ( P < 0.05) in quadratic manner as dietary α-GML content increased. Moreover, C8:0, C10:0, and C14:0 decreased ( P < 0.05) in linear and quadratic manners, and C14:1 decreased ( P < 0.05) in quadratic manner, and C20:3n6 decreased ( P < 0.05) in linear manner in dietary α-GML supplemented sow milk compared with the control sows. Serum immunoglobulin levels of piglets Effects of α-GML supplementation on levels of IgA, IgG, and IgM in the serum of piglets are summarized in Table 6. Concentrations of IgG and IgM in serum from piglets tended to increase ( P < 0.10) in quadratic manner, whereas the concentration of IgA tended to increase ( P < 0.10) in linear manner. Fecal microbiota community of piglets There were 760, 724, 726, and 690 OTUs obtained from piglets in 0, 500, 1,000, and 2,000 mg/kg α-GML groups, respectively, of which 511 were common OTUs (Fig. 1A). Besides, a total of 128 unique OTUs were detected within the four groups. principal coordinate analysis (PCoA) showed significant clustering characteristics of fecal microbial composition between control and α-GML groups (Fig. 1B). The α-diversity indexes including Sobs, Chao, Shannon, and Simpson indexes were not affected by dietary treatments (Fig. 1C-F). At the phylum level, Firmicutes and Bacteroides were the dominant phyla in the fecal microbial composition of suckling piglets representing approximately 90%, followed by Proteobacteria and Actinobacteriota (Fig. 2A). The relative abundance of Firmicutes was increased ( P < 0.05), while the relative abundance of Proteobacteria was decreased ( P < 0.05) in piglets from α-GML-fed sows (Fig. 2B). At the family level, Lactobacillaceae and Oscillospiraceae were the dominant families, followed by Lachnospiraceae , Ruminococcaceae , Peptostreptococcaceae , Erysipelotrichaceae , Bacteroidaceae , Christensenellaceae , Clostridiaceae , et al (Fig. 2C). The relative abundance of Lactobacillaceae was increased ( P < 0.05), while the relative abundance of Bacteroidaceae , Enterobacteriaceae , Enterococcaceae , Eggerthellaceae , Marinifilaceae , and norank_o__Clostridia_vadinBB60_group were decreased ( P < 0.05) in piglets from α-GML-fed sows (Fig. 2D). Discussion Sows mobilizing body fat and protein to provide precursors and energy for milk production when nutrient intake fails to meet energy requirements [ 22 ]. This results in a negative effect on the litter growth and subsequent reproductive performance [ 23 ]. In the present study, the lactation feed intake and back loss were not affected by α-GML supplementation, which was consistent with Świątkiewicz et al. [ 24 ], who observed that supplementation with 0.3% medium-chain triglyceride (MCT) in sows did not affect their backfat loss. However, Gatlin et al. [ 25 ] observed that supplementing with 10% MCT for lactating sows decreased feed intake, in comparison with the control group. The explanation may be that lipid supplementation improved the caloric intake of lactating sows, and the voluntary feed intake of lactation sows was affected by the energy density of the diet [ 26 , 27 ]. Dietary α-GML also did not affect the weaning estrus interval, which may be related to the better recovery of the body condition of sows in this experiment. In the present study, maternal α-GML supplementation improved the growth performance of piglets compared with the control group, which was consistent with Gatlin et al. [ 25 ], who observed that the growth performance was increased in piglets from MCT-fed sows. It is supposed that this improvement was related to the antibacterial effects, potent anti-inflammatory, or energy density of the diets [ 14 , 28 ]. The immune system of newborn piglets is not fully developed, which completely depends on antibodies in the mammary secretions of sows, thus affecting their immunological and physiological development. IgA is the principal immunoglobulin in milk, while IgG predominates in colostrum [ 32 ]. Concentrations of IgG in piglets depend on the amount of available colostrum [ 30 ], the amount of colostrum ingestion [ 31 ], IgG absorption in the piglet’s gut [ 31 ], and the amount of IgG in colostrum. IgA in milk provides local passive immunity in the gastrointestinal tract of piglets [ 29 ]. In the present study, greater IgA and IgG levels in colostrum and milk of sows-fed α-GML diets, which was consistent with Chen et al. [ 6 ], who observed that supplementing the sows’ diet with 7.75 g coated MCFA/kg increased the contents of IgA, IgG, and IgM in colostrum. The increased immunoglobulin in colostrum and milk further explains the improved growth performance and immunity in suckling piglets from sows-fed diets containing α-GML. Previous study has shown that GML could alter the lipid dynamics of human T cells, leading to a reduction in cytokine production, such as IL-2, IFN-γ, and TNF-α [ 32 ]. Therefore, the increased IgA and IgG levels may be related to the change in the inflammatory environment induced by α-GML. The present experiment confirmed that the fatty acid profile in sow’s colostrum was influenced by the dietary α-GML. Previous studies have shown that the impact of dietary fatty acid composition during the last gestation and lactation on fatty acid profile of colostrum and milk [ 7 , 8 ]. However, this study is the first one using α-GML for sow nutrition. We found that dietary α-GML inhibited de novo lipogenesis of the mammary gland (lower percentage of the sum of C8:0, C10:0, C12:0, and C14:0 in milk), which consistent with published studies in sows [ 33 ]. Consistent with the experimental diet treatment, C12:0 in colostrum and milk was higher from sows-fed α-GML than the control sows. As the sole food source, α-GML from milk for piglets can improve growth performance by improving intestinal morphology and immune status and ameliorating gut microbiota, this was confirmed by our previous study [ 15 ]. The odd-chain fatty acids (C15:0, C17:0) mainly exist in milk of ruminants and are mostly synthesized by bacteria [ 34 ]. Goat mammary gland can also synthesize these odd-chain fatty acids [ 35 ]. Few studies have reported the presence of odd-chain fatty acids in sow milk. In this study, we found that in sow colostrum, C15:0 and C17:0 take about 0.39% of all fatty acids, and α-GML improved their proportion to 0.40–0.47% in colostrum. In contrast to ruminants, these precursor volatile fatty acids (VFA) are not present in sufficient amounts to produce milk fatty acids. Mo et al. [ 36 ] showed that GML could enhance the content of fecal short-chain fatty acids (SCFAs) by anticolitis effect. Propionate can enhance odd-chain fatty acids production, because they can be used to generate propionyl-CoA, which is the precursor for the biosynthesis of odd-chain fatty acids [ 37 ]. Thus, it cannot be excluded that a shift towards propionate production, under a different balance of gut microbiota, due to α-GML addition could contribute to these variations in odd number fatty acids. The fatty acid composition of the milk reflects the nutritional status of sows during gestation and lactation as previously described [ 38 ]. The inclusion of α-GML in the sow diets was reflected in the higher proportions of C18:2n6c, C18:3n3, C20:3n6, C20:5n3, and C22:6n3 in colostrum. Moreover, C18:3n3 and C20:5n3 were higher in milk in sows-fed α-GML diets than in the control sows. The presence of higher levels of these fatty acids elevated the proportion of n-3 PUFA and n-6 PUFA in colostrum and n-3 PUFA in milk. This result indicates dietary α-GML supplementation may promote the absorption of fatty substances in sows [ 9 ]. Higher ratio of n-6: n-3 may limit the production of anti-inflammatory eicosanoids derived from eicosapentaenoic acid [ 39 ]. Maternal diets with varying n-6: n-3 PUFA ratios affected the antioxidant status, immune cell eicosanoid responses, immunoglobulins, fatty acids composition, and growth performance [ 40 , 41 ]. Previous studies have shown the lower ratio of n-6: n-3 PUFA could improve the growth performance in weaned piglets [ 42 ] and reproductive function in boar [ 43 ]. In the present study, the lower n-6: n-3 PUFA ratio in milk also contributes to the growth of suckling piglets. The gut microbiota in the gastrointestinal tract has numerous roles benefiting the host, such as the production of vitamins, maintenance of normal functions of the intestinal villi, and regulation of the immune responses [ 44 ]. Firmicutes and Bacteroidota play key roles in creating and maintaining an anaerobic environment in the intestinal tract of piglets with a relative abundance approximately of 90% in this study, which was consistent with the previous report on suckling piglets [ 45 ]. Desulfovibrio in Proteobacteria has been shown to further induce increased intestinal permeability and destruction of intestinal barrier structure by reducing sulfate to sulfide and inhibiting the growth of intestinal epithelial cells [ 46 , 47 ]. In the present study, maternal α-GML supplementation increased the abundance of Firmicutes and decreased the abundance of Proteobacteria in the feces of suckling piglets, which indicated that α-GML can modulate the structure and diversity of intestinal microbiota in suckling piglets. The Lactobacillaceae family, belonging to the Firmicutes phylum, is considered a beneficial microbe to improve growth performance by modulating gut health and immunity [ 48 ]. Our results showed that Lactobacillaceae was increased in piglets from α-GML-fed sows, which could explain the improvement of growth and immunity. Enterobacteriaceae and Enterococcus , as aerobic or facultative anaerobic bacteria, mainly settle in the intestinal tract of piglets on days 1 and 3 [ 49 ]. With the further development of the piglet intestinal flora, the anaerobic environment formed in the piglet intestinal tract is favorable for obligate anaerobic bacteria such as Bacteroides , Lachnospira , and Clostridium , and the formation of a bacterial community structure with Firmicutes and Bacteroidetes as dominant bacteria accompanied by a decrease in the abundance of Proteobacteria [ 49 ]. In this study, a higher abundance of Enterobacteriaceae and Enterococcaceae in the feces of piglets in the control group that only appeared in the intestinal tract of piglets in the early stage of birth, which to some extent indicated that the intestinal development of piglets was not perfect, and there was a higher risk of opportunistic pathogens infection. Together, these findings indicated that the maternal α-GML could influence the composition of the intestinal microbiota in suckling piglets. Conclusions In conclusion, α-GML supplementation could improve immunoglobulins and fatty acid composition in milk, thus enhancing growth performance and ameliorating intestinal microbe in suckling piglets. Abbreviations α-GML: Alpha glycerol monolaurate; ADFI: Average daily feed intake; ASFv: African swine fever virus; FDA: Food and Drug Administration; GRAS: Generally Recognized as Safe; IgA: Immunoglobulin A; IgG: Immunoglobulin G; IgM: Immunoglobulin M; LDA: Linear discriminant analysis; MCFA: Medium-chain fatty acid; MCT: Medium-chain triglyceride; OTUs: Operational taxonomic units; PCoA: Principal coordinate analysis; PUFA: Polyunsaturated fatty acid; SCFAs: Short-chain fatty acids; VFA: Volatile fatty acid Declarations Author Contributions The authors' responsibilities were as follows: YXM and LXL designed the research; LXL and HKW conducted the research; LXL, HKW, NZ, and TZ analyzed the data; HKW wrote the manuscript; YXM, HKW, and LXL revised the manuscript; all authors have read and approved this manuscript. Funding This work was funded by the National Key Research and Development Program of China (No. 2021YFD1300300). 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Ingredient composition and calculated nutrient concentrations of gestation and lactation basal diets (as-fed basis) Items Late gestation Lactation Ingredient composition, % Corn 57.50 61.50 Soybean meal 15.50 20.50 Wheat bran 20.00 10.00 Fish meal 2.00 2.00 Soybean oil 2.00 3.00 Limestone 1.00 1.00 Dicalcium phosphate 1.05 1.00 Salt 0.30 0.30 L-Lysine-HCL (78%) - 0.05 Choline chloride 0.15 0.15 Premix 1 0.50 0.50 Total 100.00 100.00 Nutrient concentrations 2 Digestible energy, MJ/kg 14.61 15.09 Crude protein, % 16.21 17.01 SID Lysine, % 0.85 0.98 Calcium, % 0.93 0.93 Total phosphorus, % 0.73 0.67 Available phosphorus, % 0.52 0.50 1 The premix provided the following per kg of the diet: Vitamin A, 25,000 IU; Vitamin D 3 , 5,000 IU; Vitamin E, 12.5 IU; Vitamin K 3 , 2.5 mg; Thiamin, 8.0 mg; Pyridoxine 3.0 mg; Vitamin B 12 , 15 μg; Riboflavin, 6.0 mg; Niacin, 17.5 mg; D-Pantothenic acid, 12.5 mg; Folic acid, 0.25 mg; Biotin, 0.1 mg; Choline chloride, 0.4 mg; Fe, 165 mg; Cu, 16.0 mg; Zn, 165 mg; Mn, 30 mg; I, 0.3 mg; Se, 0.3 mg 2 Calculated values Table 2. Effects of α-Glycerol Monolaurate (α-GML) supplementation on reproductive performance of sows Items Dietary α-GML level (mg/kg) SEM P -value 0 500 1000 2000 Treatment Linear Quadratic Sows ADFI, kg/d 6.12 6.21 6.38 6.36 0.05 0.20 0.07 0.33 Backfat thickness on day 110 of gestation 19.67 19.38 19.81 19.94 0.56 0.98 0.98 0.94 Backfat loss, mm 1.72 1.67 1.76 1.39 0.28 0.99 0.62 0.76 Weaning estrus interval, day 4.65 4.95 5.05 5.17 0.12 0.47 0.15 0.29 Litter size, n At weaning 11.60 11.95 11.86 11.71 0.11 0.66 0.95 0.27 Litter weight, kg At birth 13.81 16.99 16.25 16.51 0.41 < 0.05 0.08 < 0.05 At weaning 68.23 75.08 75.97 72.95 1.14 0.06 0.28 < 0.05 Piglets weight, kg At birth, kg 1.27 1.33 1.29 1.27 0.02 0.57 0.68 0.38 At weaning, kg 5.89 6.23 6.40 6.20 0.08 0.13 0.21 < 0.05 Values are means with SEM, n = 20 sows/treatment group ADFI, average daily feed intake Table 3. Effects of α-Glycerol Monolaurate (α-GML) supplementation during late gestation and lactation on immunoglobulin levels in colostrum and milk of sows Items Dietary α-GML level (mg/kg) SEM P -value 0 500 1000 2000 Treatment Linear Quadratic Colostrum IgA, mg/mL 11.61 13.04 13.78 11.25 0.30 < 0.05 0.46 < 0.05 IgG, mg/mL 66.76 71.18 71.28 70.42 0.67 < 0.05 0.13 < 0.05 IgM, mg/mL 28.55 28.63 29.71 30.15 0.46 0.55 0.16 0.38 Milk IgA, mg/mL 3.02 3.29 3.38 2.95 0.09 0.30 0.29 < 0.05 IgG, mg/mL 27.69 31.41 33.27 30.97 0.76 0.06 < 0.05 < 0.05 IgM, mg/mL 4.92 5.45 4.97 4.99 0.09 0.14 0.27 0.25 Values are means with SEM, n = 6 sows/treatment group Table 4. Effects of α-Glycerol Monolaurate (α-GML) supplementation during late gestation and lactation on fatty acid profiles in colostrum of sows Items Dietary α-GML level (mg/kg) SEM P value 0 500 1,000 2,000 Treatment Linear Quadratic Higher C12:0 0.04 0.08 0.12 0.23 0.02 < 0.05 < 0.05 < 0.05 C15:0 0.15 0.15 0.16 0.19 0.01 < 0.05 < 0.05 < 0.05 C17:0 0.24 0.25 0.25 0.28 0.01 0.07 < 0.05 < 0.05 C18:2n6c 29.69 28.44 28.67 31.89 0.50 < 0.05 < 0.05 < 0.05 C18:3n3 2.07 2.25 2.18 2.49 0.05 < 0.05 < 0.05 < 0.05 C20:3n6 0.61 0.68 0.70 0.64 0.01 < 0.05 0.53 < 0.05 C20:5n3 0.23 0.22 0.25 0.26 0.01 0.09 < 0.05 0.11 C24:0 0.17 0.16 0.17 0.21 0.01 < 0.05 < 0.05 < 0.05 C22:6n3 0.61 0.59 0.62 0.70 0.02 0.08 < 0.05 < 0.05 Lower C8:0 0.12 0.14 0.09 0.05 0.02 0.11 < 0.05 0.08 Unchanged C6:0 0.02 0.02 0.02 0.02 0.00 0.50 0.86 0.96 C10:0 0.01 0.01 0.01 0.01 0.00 0.95 0.92 0.88 C14:0 1.82 1.68 1.56 1.72 0.04 0.23 0.51 0.11 C14:1 0.03 0.03 0.02 0.03 0.00 0.53 0.50 0.46 C16:0 22.24 21.34 21.57 21.38 0.18 0.26 0.18 0.24 C16:1 3.10 2.77 2.67 2.79 0.08 0.24 0.25 0.12 C18:0 4.65 4.48 4.76 4.48 0.06 0.20 0.50 0.61 C18:1n9c 32.02 33.29 32.30 31.23 0.42 0.41 0.30 0.34 C20:0 0.15 0.16 0.15 0.16 0.00 0.36 0.34 0.54 C20:1 0.26 0.37 0.37 0.32 0.02 0.12 0.50 0.07 C21:0 0.33 0.28 0.32 0.31 0.01 0.45 0.88 0.79 C20:4n6 1.15 1.00 0.97 1.02 0.04 0.35 0.34 0.20 C20:3n3 0.15 0.16 0.16 0.17 0.00 0.13 0.09 0.08 C22:0 0.12 0.12 0.12 0.13 0.00 0.66 0.63 0.44 C22:1n9 0.25 0.25 0.23 0.27 0.01 0.27 0.23 0.22 C22:2 0.03 0.03 0.03 0.03 0.00 0.08 0.08 0.21 C23:0 0.07 0.07 0.07 0.07 0.00 0.51 0.19 0.32 C24:1 0.26 0.25 0.26 0.26 0.01 0.86 0.58 0.81 n-3 PUFA 3.06 3.23 3.21 3.61 0.06 < 0.05 < 0.05 < 0.05 n-6 PUFA 31.20 29.76 29.98 33.25 0.50 < 0.05 0.06 < 0.05 n-6: n-3 PUFA ratio 10.29 9.24 9.40 9.25 0.23 0.31 0.19 0.24 Values are means with SEM, n = 6 sows/treatment group Table 5. Effects of α-Glycerol Monolaurate (α-GML) supplementation during late gestation and lactation on fatty acid profiles in milk of sows Items Dietary α-GML level (mg/kg) SEM P value 0 500 1,000 2,000 Treatment Linear Quadratic Higher C12:0 0.36 0.46 0.61 0.77 0.04 <0.05 <0.05 <0.05 C18:3n3 1.40 1.54 1.61 1.58 0.03 <0.05 <0.05 <0.05 C20:5n3 0.19 0.21 0.23 0.24 0.01 <0.05 <0.05 <0.05 C22:0 0.05 0.06 0.06 0.04 0.00 0.10 0.46 <0.05 C23:0 0.02 0.02 0.02 0.02 0.00 0.15 <0.05 0.06 C24:0 0.09 0.10 0.12 0.12 0.01 0.18 <0.05 0.09 C24:1 0.08 0.09 0.10 0.10 0.00 0.13 <0.05 0.06 Lower C8:0 0.05 0.04 0.04 0.04 0.00 0.06 <0.05 <0.05 C10:0 0.32 0.12 0.23 0.20 0.01 <0.05 <0.05 <0.05 C14:0 4.33 3.71 3.71 3.79 0.04 <0.05 <0.05 <0.05 C14:1 4.33 3.71 3.71 3.79 0.04 <0.01 <0.05 0.09 C20:3n6 0.09 0.08 0.07 0.09 0.00 <0.05 0.68 <0.05 Unchanged C6:0 0.05 0.05 0.06 0.05 0.00 <0.05 0.65 0.14 C15:0 0.11 0.09 0.11 0.10 0.00 0.09 0.85 0.71 C16:0 34.65 32.29 33.89 32.08 0.38 <0.05 0.06 0.17 C16:1 12.69 10.23 12.84 11.74 0.46 <0.05 0.90 0.89 C17:0 0.13 0.16 0.14 0.15 0.01 0.33 0.49 0.56 C18:0 3.69 3.84 3.48 3.60 0.05 0.06 0.23 0.43 C18:1n9c 22.76 26.14 22.56 25.34 0.71 0.18 0.45 0.76 C18:2n6c 19.20 17.88 18.01 18.34 0.22 0.12 0.34 0.08 C20:0 0.12 0.12 0.12 0.13 0.00 0.48 0.39 0.64 C20:1 0.21 0.21 0.18 0.20 0.01 0.77 0.65 0.73 C21:0 0.30 0.25 0.25 0.28 0.01 0.28 0.67 0.18 C20:4n6 0.35 0.39 0.33 0.40 0.01 0.23 0.36 0.50 C20:3n3 0.06 0.06 0.05 0.07 0.00 0.15 0.23 0.23 C22:1n9 0.05 0.07 0.05 0.06 0.00 0.08 0.35 0.64 C22:2 0.04 0.04 0.04 0.05 0.00 0.24 0.13 0.26 C22:6n3 0.23 0.30 0.25 0.28 0.01 <0.05 <0.05 <0.05 n-3 PUFA 1.88 2.11 2.13 2.18 0.30 <0.05 <0.05 <0.05 n-6 PUFA 19.68 18.38 18.45 18.88 0.22 0.12 0.38 0.08 n-6: n-3 PUFA ratio 10.51 8.72 8.66 8.68 0.22 <0.05 <0.05 <0.05 Values are means with SEM, n = 6 sows/treatment group Table 6. Effects of α-Glycerol Monolaurate (α-GML) supplementation during late gestation and lactation on serum immunoglobulin levels on day 21 of piglets Items Dietary α-GML level (mg/kg) SEM P -value 0 500 1000 2000 Treatment Linear Quadratic IgA, μg/mL 10.53 10.88 11.01 10.63 0.22 0.87 0.07 0.17 IgG, mg/mL 5.03 5.55 5.48 5.19 0.11 0.29 0.59 0.07 IgM, μg/mL 5.04 5.23 6.70 5.43 0.248 0.07 0.73 0.08 Values are means with SEM, n = 6 piglets/treatment group Cite Share Download PDF Status: Published Journal Publication published 05 Apr, 2023 Read the published version in Journal of Animal Science and Biotechnology → Version 1 posted Editorial decision: Major revision 31 Oct, 2022 Reviewers agreed at journal 05 Oct, 2022 Reviewers invited by journal 05 Oct, 2022 Editor assigned by journal 30 Sep, 2022 First submitted to journal 29 Sep, 2022 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2116106","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":141952848,"identity":"0d25d85f-a5be-4d51-93ff-3c90622977b7","order_by":0,"name":"Longxian Li","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Longxian","middleName":"","lastName":"Li","suffix":""},{"id":141952849,"identity":"08188600-1f06-49c0-bc4d-dfa8e555b8c1","order_by":1,"name":"Huakai Wang","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Huakai","middleName":"","lastName":"Wang","suffix":""},{"id":141952850,"identity":"3433a46c-b607-4cad-94cd-dd9dc878e7da","order_by":2,"name":"Shuang Dong","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Shuang","middleName":"","lastName":"Dong","suffix":""},{"id":141952851,"identity":"878b9b81-a826-49dd-9d6f-0f719b10eb2d","order_by":3,"name":"Yongxi Ma","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6UlEQVRIie3PMYrCQBTG8TcMJBbPtY3EKyy8EMhaDPEwgammEPYCWQTTBGu9hXsD2cFUAdsUFkLAyiKlSAo3ndUk5cLOvxv4fgwPwGb7w+GEs6xpSMTDyTRbFWy7lMnwb6gsJMfmh6V9y/esDOrlQ8+gUlEt6MDB1ce9iUSlCsPdRiLbqo9Q0fkNUMrKSA4q8se5QO4p8hVdOXgYmcnp1hEPnY7MSbO0l/ye4ONdIGIhfRhGrp/hOJXouSsd5CQTp/eWU/JdY6sXC82+LvdWxBNXF0YCMCJg65e3Y553uReAtn9ms9ls/7gnBkVJaKMyd1MAAAAASUVORK5CYII=","orcid":"","institution":"China Agricultural University","correspondingAuthor":true,"prefix":"","firstName":"Yongxi","middleName":"","lastName":"Ma","suffix":""}],"badges":[],"createdAt":"2022-09-29 10:26:25","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2116106/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2116106/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s40104-023-00848-x","type":"published","date":"2023-04-05T20:22:15+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":27575570,"identity":"9b43b2c9-2e2e-4384-9e0b-6c298842a53e","added_by":"auto","created_at":"2022-10-10 19:05:41","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":103394,"visible":true,"origin":"","legend":"\u003cp\u003eFecal microbial composition and diversity of suckling piglets. A, The bacterial operational taxonomic units (OUTs) community composition of the feces in suckling piglets; B, β-diversity analysis was performed using the unweighted version of the UniFrac-based PcoA; C-Fα-diversity analysis based on indices of Sobs, Chao, Shannon, and Simpson. Data were means ± SD (n = 6); CON, control group; GML1, 500 mg/kg α-GML supplemental group; GML2, 1000 mg/kg α-GML supplemental group; GML1, 2000 mg/kg α-GML supplemental group.\u003c/p\u003e","description":"","filename":"Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-2116106/v1/a85e0a94c4bcc7011a562b91.png"},{"id":27575569,"identity":"2e449956-0fd9-426f-a411-54d3b40422da","added_by":"auto","created_at":"2022-10-10 19:05:41","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":59241,"visible":true,"origin":"","legend":"\u003cp\u003eDifferences in fecal microbial phylum level and genus level of suckling piglets. A and B, Fecal microbial composition of suckling piglets at phylum level; C and D, Fecal microorganisms of suckling piglets differ at the family level. Data were means ± SD (n = 6); * \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05 and ** \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.01 compared with the CON group. CON, control group; GML1, 500 mg/kg α-GML supplemental group; GML2, 1000 mg/kg α-GML supplemental group; GML3, 2000 mg/kg α-GML supplemental group.\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-2116106/v1/d9f2328cb9c0c6973958c3f8.png"},{"id":44724213,"identity":"e714e40e-f8de-4b1a-b39f-4d338661e7d2","added_by":"auto","created_at":"2023-10-16 20:25:43","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":546385,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2116106/v1/4bfdb4a8-7c8d-4d2a-b5c0-03cc9f030d42.pdf"}],"financialInterests":"","formattedTitle":"Supplementation alpha glycerol monolaurate during late gestation and lactation enhanced sow performance, ameliorated milk composition, and improved growth of suckling piglets","fulltext":[{"header":"Background","content":"\u003cp\u003eLitter size and weaning weights are the main parameters that define productivity and profitability on pig barn [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Improvements in swine genetics [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e], management [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e], and nutrition [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e] have increased the number of weaned piglets per litter [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e], which are associated with larger litter size, pre-weaning survival and weaning weight. Three-quarters of fetal weight gain occurs in the last quarter of pregnancy, during which sufficient nutrient is required to meet the needs of the sow [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. it is important to provide adequate nutrients or nutritional interventions through late pregnancy and lactation.\u003c/p\u003e \u003cp\u003eStudies have found that dietary supplementation of fatty acids during late pregnancy and/or lactation can increase the overall litter growth and pig weaning weights [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e], reduce body weight loss during lactation and shorten the weaning-to-estrus interval [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Furthermore, the type and amount of fat in daily feed rations also affect the sow milk yield and the milk fatty acids profile [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Alpha glycerol monolaurate (α-GML) is an α-monoglyceride of medium-chain fatty acid (MCFA) lauric acid and is recognized by the US Food and Drug Administration (FDA) as a Generally Recognized as Safe (GRAS) food emulsifier [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. As a natural and edible lipid, α-GML possesses multiple pharmacological and biological activities, including excellent antibacterial and antiviral properties. The strong antibacterial properties of GML make it widely used in food preservation and medicine [\u003cspan additionalcitationids=\"CR11\" citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Moreover, in vitro study showed that GML inhibited the infectivity and transmission of the African swine fever virus (ASFv) in feed [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. A recent study reveals that GML can be used as an effective feed additive to improve animal growth performance and quality control [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Our previous study has demonstrated that dietary 1000 mg/kg α-GML supplementation significantly reduces diarrhea rate, improves intestinal morphology, nutrient digestibility, antioxidant capacity, and immune status, and ameliorates gut microbiota in weaned piglets [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. It is reported that the addition of 2000 mg/kg GML in a low protein diet could improve the intestinal tight junction barrier function and immune status of weaned piglets [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. The present study aimed to determine the effect of maternal α-GML supplementation during gestation and lactation on the reproductive performance of sows, the fatty acids profile of milk, and the serum immunoglobulins and fecal microbiota of piglets, to validate the hypothesis that α-GML would improve milk quality in lactating sows, thereby improving neonatal health and growth, and α-GML might be an effective feed additive in antibiotics-free diet for swine production in China.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003eThe experimental protocol of this study was following the Guide for the Care and Use of Laboratory Animals prepared by the Institutional Animal Care and Use Committee of China Agricultural University. This experiment was conducted in the FengNing Swine Research Unit of China Agricultural University (Academician Workstation in Chengde Jiuyun Agricultural and Livestock Co., Ltd., Hebei, China). The product \u0026alpha;-GML was provided by Zhejiang Libiduo Biotechnology Co. Ltd and contained 85% \u0026alpha;-GML.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnimals and experimental design\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFifth or sixth parity sows (n = 80; Landrace \u0026times; Large White) with similar backfat (BF) thickness were assigned randomly to one of four treatments:\u0026nbsp;control diet (corn-soybean basal diet, n = 20), 500 mg/kg\u0026nbsp;\u0026alpha;-GML diet (basal diet + 500 mg/kg\u0026nbsp;\u0026alpha;-GML, n = 20), 1000 mg/kg\u0026nbsp;\u0026alpha;-GML diet (basal diet + 1000 mg/kg\u0026nbsp;\u0026alpha;-GML, n = 20), and 2000 mg/kg\u0026nbsp;\u0026alpha;-GML diet (basal diet + 2000 mg/kg\u0026nbsp;\u0026alpha;-GML, n = 20). Each treatment (Table 1) consisted of a gestation and a lactation diet and were formulated to meet nutritional requirements of late gestation (day 85 of gestation to parturition) and lactation sows according to the recommendations by the National Research Council\u0026nbsp;[17]. Sows were housed individually in stalls from day 85 to day 107 of gestation on partially slatted concrete floors and ingested a total of 2.5 kg diet daily (9:00 and 15:00). Then, sows were moved to farrowing stalls on day 107 of gestation and ingested 2.76 kg of daily diet (9:00 and 15:00) from day 107 of gestation to parturition.\u0026nbsp;Sows were offered approximately 0.5 kg on the first day after farrowing and then fed daily feed allotment was increased 1.0 kg more every day until maximum feed intake was reached. When maximum feed intake was achieved, sows were allowed ad libitum access to feed. Throughout the experiment, sows and piglets were allowed ad libitum access to water. On the day of farrowing (day = 0), litter size was adjusted to 12 \u0026plusmn; 1 piglets by cross-fostering within dietary treatment.\u0026nbsp;The ambient temperature in the farrowing room for sows was maintained at 20-23℃. Heat lamps were used to provided heat to neonatal pigs.\u0026nbsp;The suckling piglets underwent routine tooth clipping, tail removal, subcutaneous iron dextran injections, and immunization. During the entire experiment, sow\u0026apos;s milk was the sole food source for suckling piglets. Feed intake of the sows was recorded daily\u0026nbsp;to allow calculation of average daily feed intake (ADFI) during the entire lactation period, and\u0026nbsp;piglets were weighed at birth and day 21 of lactation. The growth performance and survival rates of sucking piglets were determined.\u0026nbsp;Backfat thickness (P2, 6 cm from the midline at the head of the last rib) of sows at day 110 of gestation and day 21 of lactation was measured using an ultrasonic device (Piglog105; SFK Technology A/S, Herlev, Denmark) to assess the body condition of sows.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCollection of colostrum and milk from sows\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSix sows from each group were randomly selected by injection of 10 IU oxytocin via the ear vein to induce milk letdown into the teat canal on day 0 (colostrum) and 21 (milk) of lactation. Milk samples were collected from different mammary glands (front, middle, and rear), and equal volumes (15 mL) of milk from three glands of a sow were mixed, and the samples were stored at\u0026nbsp;\u0026ndash;20℃ frige for subsequent analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCollection of blood samples from piglets\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBlood samples (2 mL) were obtained from six randomly piglets each group via the jugular vein using non-heparinized vacutainer tubes on day 21 of lactation. Serum samples were harvested for each blood sample after centrifugation at 3,000 \u0026times; \u003cem\u003eg\u003c/em\u003e for 15 min, and were stored at \u0026ndash;20℃ frige for subsequent analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCollection of fecal samples from piglets\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSix piglets each group were used to collect fresh feces by the rectal palpation method on day 21 of lactation. Fecal samples were immediately frozen in liquid nitrogen and placed at -80℃ frige for subsequent analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnalysis of immunoglobulin in colostrum and milk\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe concentrations of immunoglobulin A (IgA), immunoglobulin G (IgG), and immunoglobulin M (IgM) in colostrum and milk were determined according to Che et al. [18]. Briefly, the optical density values of IgA, IgG and IgM standards were measured at 340 nm, 700 nm, and 340 nm using a UV-2401PC (Shimadzu Co., Japan UV-VIS recording spectrophotometer), and the concentration of each immunoglobulin was calculated by standard curve.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnalysis of fatty acid profiles in colostrum and milk\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFor analysis of fatty acid composition, milk samples (1 g) were transferred to a 25 mL Teflon-lined tube and neutralized with 4 mL of n-Hexane:isopropanol (3:2) and 2 mL of sodium sulfate (6.67%). After centrifugation at 5,000\u0026nbsp;\u0026times; \u003cem\u003eg\u0026nbsp;\u003c/em\u003efor 10 min, all\u0026nbsp;supernatants were transferred to a 20 mL hydrolysis tube, 200 \u0026micro;L of C11:0 internal standard was added, and dry with mixed nitrogen. Add 4 mL of hydrochloric acid methanol (3 mol/L) solution to the hydrolysis tube and tighten the cap, then reflux in a water bath at 80℃\u0026nbsp;for 2 h. After the water bath, 5 mL of 7% K\u003csub\u003e2\u003c/sub\u003eCO\u003csub\u003e3\u003c/sub\u003e and 3 mL of hexane were added to the hydrolytic tube, mix by vortexing, centrifuged at 1,000 \u0026times; \u003cem\u003eg\u0026nbsp;\u003c/em\u003efor 1 min, and about 1 mL of the upper liquid was filtered into a 1.5 mL glass bottle with a filter (filter pore size of 0.22 \u0026mu;m). Finally, the fatty acid methyl ester dissolved in the supernatant was analyzed by gas chromatography-mass spectrometry using Agilent 7890 B (Agilent Technologies, Palo Alto, CA) gas chromatograph and Agilent Technologies (60 m \u0026times; 250 \u0026mu;m \u0026times; 0.25 \u0026mu;m) column. Fatty acids were expressed as the proportion of each individual fatty acid to the total amount of all fatty acids in the sample. n-3 polyunsaturated fatty acid (PUFA), n-6 PUFA, and n-6: n-3 PUFA ratio were calculated.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAnalysis of immunoglobulin in serum\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConcentrations of IgA, IgG, and IgM were analyzed using ELISA kits validated for swine (CUSABIO Biotech Company, Wuhan, China) according to methods described [6].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFecal microbial flora composition\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTotal feces bacterial DNA (n = 6) was extracted according to the manufacturer\u0026apos;s instructions of the Qiagen QIAmp DNA stool extraction kit (Qiagen). The V3-V4 hypervariable regions of bacterial 16S rRNA were amplified by a PCR system using universal primers 338F (5\u0026apos;-ACTCCTACGGGAGGCAGCAG-3\u0026apos;) and 806R (5\u0026apos;-GGACTACHVGGGTWTCTAAT-3\u0026apos;). The PCR amplification procedures were set in ABI GeneAmp\u003csup\u003e\u0026reg;\u003c/sup\u003e 9700 system (ABI, USA) as follows: predenaturation (95℃, 3 min), amplification (95℃, 30 s; 55℃, 30 s; 72℃, 45 s; a total of 27 cycles), extended (72℃, 10 min) [19]. The paired-end reads of pooled purified amplicons were sequenced on the Illumina MiSeq PE300 platform (Illumina, San Diego, CA). The original sequences were demultiplexed, quality filtered, trimmed, and denoised using Trimmomatic and merged according to the overlapping relationship by FLASH software (v1.2.11, http://ccb.jhu. Edu/software /FLASH/index.shtml) [20]. The operational taxonomic units (OTUs) with 97% similarity threshold were clustered Using UPARSE (version 7.1, http://drive5.com/uparse/) and their representative sequence categorized and analyzed by the RDP Classifier (http://rdp. cme.msu.edu/) against the Silva (SSU128) 16S rRNA database with a confidence threshold of 70% [17]. The composition and structure of fecal microbiota were analyzed according to the standardized OUT with the QIIME software (version 1.8.0) [21]. The linear discriminant analysis (LDA) effect size (LEfSe) algorithm was applied to identify specific taxa from phylum to genus level among each group of samples.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data were analyzed using the one-way ANOVA procedure of SPSS statistical software (SPSS 26.0, IBM SPSS Company, Chicago, USA). Each sow (litter) or piglet was considered as the experimental unit. Data were evaluated for normality and homoscedasticity by the Shapiro-Wilk and Levene\u0026apos;s tests, respectively. The linear and quadratic effects of different\u0026nbsp;\u0026alpha;-GML\u0026nbsp;levels were determined using orthogonal polynomials for reproductive performance, concentrations of immunoglobulin and fatty acid composition of sows in milk, and serum antioxidant capacity and immunoglobulin levels of piglets. The bacterial community at the phylum, genus, and species level were analyzed by non-parametric factorial Kruskal-Wallis test and unpaired Wilcoxon Comparison test. The data were expressed as mean \u0026plusmn; SEM, and differences were considered significant at \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05, and the tendency was declared with 0.05 \u0026le; \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.10.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eReproductive performance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were no differences (\u003cem\u003eP\u003c/em\u003e \u0026gt; 0.05) in ADFI of sows and weaning estrus interval among the four groups (Table 2). Backfat thickness decreased with advanced lactation as sows mobilizing their body reserves to meet the requirement of milk production. However, the backfat thickness of sows did not differ (\u003cem\u003eP\u003c/em\u003e \u0026gt; 0.05) among groups. Litter size at weaning and average weight at birth of piglets did not differ (\u003cem\u003eP\u003c/em\u003e \u0026gt; 0.05) among treatments. Litter weight at birth and weaning, and average weight at weaning of piglets increased in a quadratic manner (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) as dietary \u0026alpha;-GML content increased.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConcentrations of immunoglobulin of sows in colostrum and milk\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe IgA and IgG levels in the colostrum and IgA levels in the milk increased in a quadratic manner (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05), whereas the IgG level in the milk increased in linear and quadratic manners (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) as dietary \u0026alpha;-GML content increased (Table 3). No differences (\u003cem\u003eP\u003c/em\u003e \u0026gt; 0.05) in concentrations of IgM in colostrum and milk were detected among the four groups of sows.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFatty acid profiles of sows in colostrum and milk\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFatty acid profiles in colostrum and milk of sows were summarized in Table 4 and 5. In colostrum, C12:0, C15:0, C17:0, C18:2n6c, C18:3n3, C24:0, and C22:6n3 increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in linear and quadratic manners, C20:3n6 increased in quadratic manner and C20:5n3 increased in linear manner (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05), C8:0 decreased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in linear manner as dietary \u0026alpha;-GML content increased. In milk, C12:0, C18:3n3, and C20:5n3 increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in linear and quadratic manners, C22:0 increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in linear manner, and C23:0, C24:0, and C24:1 increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in quadratic manner as dietary \u0026alpha;-GML content increased. Moreover, C8:0, C10:0, and C14:0 decreased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in linear and quadratic manners, and C14:1 decreased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in quadratic manner, and C20:3n6 decreased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in linear manner in dietary \u0026alpha;-GML supplemented sow milk compared with the control sows.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSerum immunoglobulin levels of piglets\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEffects of \u0026alpha;-GML supplementation on levels of IgA, IgG, and IgM in the serum of piglets are summarized in Table 6. Concentrations of IgG and IgM in serum from piglets tended to increase (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.10) in quadratic manner, whereas the concentration of IgA tended to increase (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.10) in linear manner.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFecal microbiota community of piglets\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were 760, 724, 726, and 690 OTUs obtained from piglets in 0, 500, 1,000, and 2,000\u0026nbsp;mg/kg \u0026alpha;-GML groups, respectively, of which 511 were common OTUs (Fig. 1A). Besides, a total of 128 unique OTUs were detected within the four groups. principal coordinate analysis (PCoA) showed significant clustering characteristics of fecal microbial composition between control and \u0026alpha;-GML groups (Fig. 1B). The \u0026alpha;-diversity indexes including Sobs, Chao, Shannon, and Simpson indexes were not affected by dietary treatments (Fig. 1C-F). At the phylum level, \u003cem\u003eFirmicutes\u003c/em\u003e and \u003cem\u003eBacteroides\u003c/em\u003e were the dominant phyla in the fecal microbial composition of suckling piglets representing approximately 90%, followed by \u003cem\u003eProteobacteria\u003c/em\u003e and \u003cem\u003eActinobacteriota\u003c/em\u003e (Fig. 2A). The relative abundance of \u003cem\u003eFirmicutes\u003c/em\u003e was increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05), while the relative abundance of \u003cem\u003eProteobacteria\u003c/em\u003e was decreased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in piglets from \u0026alpha;-GML-fed sows (Fig. 2B). At the family level, \u003cem\u003eLactobacillaceae\u003c/em\u003e and \u003cem\u003eOscillospiraceae\u003c/em\u003e were the dominant families, followed by \u003cem\u003eLachnospiraceae\u003c/em\u003e, \u003cem\u003eRuminococcaceae\u003c/em\u003e, \u003cem\u003ePeptostreptococcaceae\u003c/em\u003e, \u003cem\u003eErysipelotrichaceae\u003c/em\u003e, \u003cem\u003eBacteroidaceae\u003c/em\u003e, \u003cem\u003eChristensenellaceae\u003c/em\u003e, \u003cem\u003eClostridiaceae\u003c/em\u003e, et al (Fig. 2C). The relative abundance of \u003cem\u003eLactobacillaceae\u0026nbsp;\u003c/em\u003ewas increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05), while the relative abundance of \u003cem\u003eBacteroidaceae\u003c/em\u003e, \u003cem\u003eEnterobacteriaceae\u003c/em\u003e, \u003cem\u003eEnterococcaceae\u003c/em\u003e, \u003cem\u003eEggerthellaceae\u003c/em\u003e, \u003cem\u003eMarinifilaceae\u003c/em\u003e, and \u003cem\u003enorank_o__Clostridia_vadinBB60_group\u003c/em\u003e were decreased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in piglets from \u0026alpha;-GML-fed sows (Fig. 2D).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eSows mobilizing body fat and protein to provide precursors and energy for milk production when nutrient intake fails to meet energy requirements [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. This results in a negative effect on the litter growth and subsequent reproductive performance [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. In the present study, the lactation feed intake and back loss were not affected by α-GML supplementation, which was consistent with Świątkiewicz et al. [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e], who observed that supplementation with 0.3% medium-chain triglyceride (MCT) in sows did not affect their backfat loss. However, Gatlin et al. [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e] observed that supplementing with 10% MCT for lactating sows decreased feed intake, in comparison with the control group. The explanation may be that lipid supplementation improved the caloric intake of lactating sows, and the voluntary feed intake of lactation sows was affected by the energy density of the diet [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Dietary α-GML also did not affect the weaning estrus interval, which may be related to the better recovery of the body condition of sows in this experiment. In the present study, maternal α-GML supplementation improved the growth performance of piglets compared with the control group, which was consistent with Gatlin et al. [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e], who observed that the growth performance was increased in piglets from MCT-fed sows. It is supposed that this improvement was related to the antibacterial effects, potent anti-inflammatory, or energy density of the diets [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe immune system of newborn piglets is not fully developed, which completely depends on antibodies in the mammary secretions of sows, thus affecting their immunological and physiological development. IgA is the principal immunoglobulin in milk, while IgG predominates in colostrum [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. Concentrations of IgG in piglets depend on the amount of available colostrum [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e], the amount of colostrum ingestion [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e], IgG absorption in the piglet\u0026rsquo;s gut [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e], and the amount of IgG in colostrum. IgA in milk provides local passive immunity in the gastrointestinal tract of piglets [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. In the present study, greater IgA and IgG levels in colostrum and milk of sows-fed α-GML diets, which was consistent with Chen et al. [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e], who observed that supplementing the sows\u0026rsquo; diet with 7.75 g coated MCFA/kg increased the contents of IgA, IgG, and IgM in colostrum. The increased immunoglobulin in colostrum and milk further explains the improved growth performance and immunity in suckling piglets from sows-fed diets containing α-GML. Previous study has shown that GML could alter the lipid dynamics of human T cells, leading to a reduction in cytokine production, such as IL-2, IFN-γ, and TNF-α [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. Therefore, the increased IgA and IgG levels may be related to the change in the inflammatory environment induced by α-GML.\u003c/p\u003e \u003cp\u003eThe present experiment confirmed that the fatty acid profile in sow\u0026rsquo;s colostrum was influenced by the dietary α-GML. Previous studies have shown that the impact of dietary fatty acid composition during the last gestation and lactation on fatty acid profile of colostrum and milk [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. However, this study is the first one using α-GML for sow nutrition. We found that dietary α-GML inhibited \u003cem\u003ede novo\u003c/em\u003e lipogenesis of the mammary gland (lower percentage of the sum of C8:0, C10:0, C12:0, and C14:0 in milk), which consistent with published studies in sows [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. Consistent with the experimental diet treatment, C12:0 in colostrum and milk was higher from sows-fed α-GML than the control sows. As the sole food source, α-GML from milk for piglets can improve growth performance by improving intestinal morphology and immune status and ameliorating gut microbiota, this was confirmed by our previous study [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. The odd-chain fatty acids (C15:0, C17:0) mainly exist in milk of ruminants and are mostly synthesized by bacteria [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Goat mammary gland can also synthesize these odd-chain fatty acids [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. Few studies have reported the presence of odd-chain fatty acids in sow milk. In this study, we found that in sow colostrum, C15:0 and C17:0 take about 0.39% of all fatty acids, and α-GML improved their proportion to 0.40\u0026ndash;0.47% in colostrum. In contrast to ruminants, these precursor volatile fatty acids (VFA) are not present in sufficient amounts to produce milk fatty acids. Mo et al. [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e] showed that GML could enhance the content of fecal short-chain fatty acids (SCFAs) by anticolitis effect. Propionate can enhance odd-chain fatty acids production, because they can be used to generate propionyl-CoA, which is the precursor for the biosynthesis of odd-chain fatty acids [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. Thus, it cannot be excluded that a shift towards propionate production, under a different balance of gut microbiota, due to α-GML addition could contribute to these variations in odd number fatty acids. The fatty acid composition of the milk reflects the nutritional status of sows during gestation and lactation as previously described [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. The inclusion of α-GML in the sow diets was reflected in the higher proportions of C18:2n6c, C18:3n3, C20:3n6, C20:5n3, and C22:6n3 in colostrum. Moreover, C18:3n3 and C20:5n3 were higher in milk in sows-fed α-GML diets than in the control sows. The presence of higher levels of these fatty acids elevated the proportion of n-3 PUFA and n-6 PUFA in colostrum and n-3 PUFA in milk. This result indicates dietary α-GML supplementation may promote the absorption of fatty substances in sows [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Higher ratio of n-6: n-3 may limit the production of anti-inflammatory eicosanoids derived from eicosapentaenoic acid [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Maternal diets with varying n-6: n-3 PUFA ratios affected the antioxidant status, immune cell eicosanoid responses, immunoglobulins, fatty acids composition, and growth performance [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. Previous studies have shown the lower ratio of n-6: n-3 PUFA could improve the growth performance in weaned piglets [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e] and reproductive function in boar [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. In the present study, the lower n-6: n-3 PUFA ratio in milk also contributes to the growth of suckling piglets.\u003c/p\u003e \u003cp\u003eThe gut microbiota in the gastrointestinal tract has numerous roles benefiting the host, such as the production of vitamins, maintenance of normal functions of the intestinal villi, and regulation of the immune responses [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. \u003cem\u003eFirmicutes\u003c/em\u003e and \u003cem\u003eBacteroidota\u003c/em\u003e play key roles in creating and maintaining an anaerobic environment in the intestinal tract of piglets with a relative abundance approximately of 90% in this study, which was consistent with the previous report on suckling piglets [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. \u003cem\u003eDesulfovibrio\u003c/em\u003e in \u003cem\u003eProteobacteria\u003c/em\u003e has been shown to further induce increased intestinal permeability and destruction of intestinal barrier structure by reducing sulfate to sulfide and inhibiting the growth of intestinal epithelial cells [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. In the present study, maternal α-GML supplementation increased the abundance of \u003cem\u003eFirmicutes\u003c/em\u003e and decreased the abundance of \u003cem\u003eProteobacteria\u003c/em\u003e in the feces of suckling piglets, which indicated that α-GML can modulate the structure and diversity of intestinal microbiota in suckling piglets. The \u003cem\u003eLactobacillaceae\u003c/em\u003e family, belonging to the \u003cem\u003eFirmicutes\u003c/em\u003e phylum, is considered a beneficial microbe to improve growth performance by modulating gut health and immunity [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. Our results showed that \u003cem\u003eLactobacillaceae\u003c/em\u003e was increased in piglets from α-GML-fed sows, which could explain the improvement of growth and immunity. \u003cem\u003eEnterobacteriaceae\u003c/em\u003e and \u003cem\u003eEnterococcus\u003c/em\u003e, as aerobic or facultative anaerobic bacteria, mainly settle in the intestinal tract of piglets on days 1 and 3 [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. With the further development of the piglet intestinal flora, the anaerobic environment formed in the piglet intestinal tract is favorable for obligate anaerobic bacteria such as \u003cem\u003eBacteroides\u003c/em\u003e, \u003cem\u003eLachnospira\u003c/em\u003e, and \u003cem\u003eClostridium\u003c/em\u003e, and the formation of a bacterial community structure with \u003cem\u003eFirmicutes\u003c/em\u003e and \u003cem\u003eBacteroidetes\u003c/em\u003e as dominant bacteria accompanied by a decrease in the abundance of \u003cem\u003eProteobacteria\u003c/em\u003e [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. In this study, a higher abundance of \u003cem\u003eEnterobacteriaceae\u003c/em\u003e and \u003cem\u003eEnterococcaceae\u003c/em\u003e in the feces of piglets in the control group that only appeared in the intestinal tract of piglets in the early stage of birth, which to some extent indicated that the intestinal development of piglets was not perfect, and there was a higher risk of opportunistic pathogens infection. Together, these findings indicated that the maternal α-GML could influence the composition of the intestinal microbiota in suckling piglets.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eIn conclusion, α-GML supplementation could improve immunoglobulins and fatty acid composition in milk, thus enhancing growth performance and ameliorating intestinal microbe in suckling piglets.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003e\u0026alpha;-GML: Alpha glycerol monolaurate; ADFI: Average daily feed intake; ASFv: African swine fever virus; FDA: Food and Drug Administration; GRAS: Generally Recognized as Safe; IgA: Immunoglobulin A; IgG: Immunoglobulin G; IgM: Immunoglobulin M; LDA: Linear discriminant analysis; MCFA: Medium-chain fatty acid; MCT: Medium-chain triglyceride; OTUs: Operational taxonomic units; PCoA: Principal coordinate analysis; PUFA: Polyunsaturated fatty acid; SCFAs: Short-chain fatty acids; VFA: Volatile fatty acid\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthor Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors\u0026apos; responsibilities were as follows: YXM and LXL designed the research; LXL and HKW conducted the research; LXL, HKW, NZ, and TZ analyzed the data; HKW wrote the manuscript; YXM, HKW, and LXL revised the manuscript; all authors have read and approved this manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was funded by the National Key Research and Development Program of China (No. 2021YFD1300300).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe animals used for this research were approved by the Institutional Animal Care and Use Committee of China Agricultural University.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare they have no competing interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003e\u003cspan\u003eOcepek M, Rosvold EM, Andersen-Ranberg I, Andersen IL. 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Ingredient composition and calculated nutrient concentrations of gestation and lactation basal diets (as-fed basis)\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"549\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eItems\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003eLate gestation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003eLactation\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eIngredient composition, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eCorn\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e57.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e61.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eSoybean meal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e15.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e20.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eWheat bran\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e20.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e10.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eFish meal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eSoybean oil\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eLimestone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eDicalcium phosphate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eSalt\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eL-Lysine-HCL (78%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eCholine chloride\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003ePremix\u003csup\u003e\u0026nbsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e100.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e100.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eNutrient concentrations\u003csup\u003e\u0026nbsp;2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eDigestible energy, MJ/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e14.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e15.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eCrude protein, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e16.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e17.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eSID Lysine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eCalcium, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eTotal phosphorus, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"46.44808743169399%\"\u003e\n \u003cp\u003eAvailable phosphorus, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.775956284153004%\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eThe premix provided the following per kg of the diet: Vitamin A, 25,000 IU; Vitamin D\u003csub\u003e3\u003c/sub\u003e, 5,000 IU; Vitamin E, 12.5 IU; Vitamin K\u003csub\u003e3\u003c/sub\u003e, 2.5 mg; Thiamin, 8.0 mg; Pyridoxine 3.0 mg; Vitamin B\u003csub\u003e12\u003c/sub\u003e, 15 \u0026mu;g; Riboflavin, 6.0 mg; Niacin, 17.5 mg; D-Pantothenic acid, 12.5 mg; Folic acid, 0.25 mg; Biotin, 0.1 mg; Choline chloride, 0.4 mg; Fe, 165 mg; Cu, 16.0 mg; Zn, 165 mg; Mn, 30 mg; I, 0.3 mg; Se, 0.3 mg\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e2\u003c/sup\u003e Calculated values\u003c/p\u003e\n\u003cp\u003eTable 2. Effects of \u0026alpha;-Glycerol Monolaurate (\u0026alpha;-GML) supplementation on reproductive performance of sows\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"733\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"33.9699863574352%\"\u003e\n \u003cp\u003eItems\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" width=\"30.96862210095498%\"\u003e\n \u003cp\u003eDietary\u0026nbsp;\u0026alpha;-GML level (mg/kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"7.776261937244202%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" width=\"27.285129604365622%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.317757009345794%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.317757009345794%\"\u003e\n \u003cp\u003e500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.317757009345794%\"\u003e\n \u003cp\u003e1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.317757009345794%\"\u003e\n \u003cp\u003e2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.822429906542055%\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.018691588785046%\"\u003e\n \u003cp\u003eLinear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.88785046728972%\"\u003e\n \u003cp\u003eQuadratic\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eSows\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eADFI, kg/d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e6.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e6.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e6.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e6.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eBackfat thickness on day 110 of gestation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e19.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e19.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e19.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e19.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eBackfat loss, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eWeaning estrus interval, day\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e4.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e4.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e5.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e5.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eLitter size, n\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eAt weaning\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e11.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e11.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e11.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e11.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eLitter weight, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eAt birth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e13.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e16.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e16.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e16.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eAt weaning\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e68.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e75.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e75.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e72.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003ePiglets weight, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\u0026nbsp;\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eAt birth, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"33.92370572207084%\"\u003e\n \u003cp\u003eAt weaning, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e5.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e6.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e6.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e6.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.76566757493188%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.809264305177111%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.174386920980927%\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.264305177111716%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eValues are means with SEM,\u0026nbsp;n = 20 sows/treatment group\u003c/p\u003e\n\u003cp\u003eADFI, average daily feed intake\u003c/p\u003e\n\u003cp\u003eTable 3. Effects of \u0026alpha;-Glycerol Monolaurate (\u0026alpha;-GML) supplementation during late gestation and lactation on immunoglobulin levels in colostrum and milk of sows\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"660\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"22.87878787878788%\"\u003e\n \u003cp\u003eItems\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" width=\"36.666666666666664%\"\u003e\n \u003cp\u003eDietary\u0026nbsp;\u0026alpha;-GML level (mg/kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"10.303030303030303%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" width=\"30.151515151515152%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.636363636363637%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.636363636363637%\"\u003e\n \u003cp\u003e500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.636363636363637%\"\u003e\n \u003cp\u003e1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.636363636363637%\"\u003e\n \u003cp\u003e2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.363636363636363%\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.954545454545455%\"\u003e\n \u003cp\u003eLinear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.136363636363637%\"\u003e\n \u003cp\u003eQuadratic\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.91350531107739%\"\u003e\n \u003cp\u003eColostrum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.318664643399089%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.925644916540213%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.649468892261002%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.773899848254931%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.91350531107739%\"\u003e\n \u003cp\u003eIgA, mg/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e11.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e13.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e13.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e11.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.318664643399089%\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.925644916540213%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.649468892261002%\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.773899848254931%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.91350531107739%\"\u003e\n \u003cp\u003eIgG, mg/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e66.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e71.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e71.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e70.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.318664643399089%\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.925644916540213%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.649468892261002%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.773899848254931%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.91350531107739%\"\u003e\n \u003cp\u003eIgM, mg/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e28.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e28.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e29.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e30.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.318664643399089%\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.925644916540213%\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.649468892261002%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.773899848254931%\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.91350531107739%\"\u003e\n \u003cp\u003eMilk\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.318664643399089%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.925644916540213%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.649468892261002%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.773899848254931%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.91350531107739%\"\u003e\n \u003cp\u003eIgA, mg/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e3.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e3.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e3.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e2.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.318664643399089%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.925644916540213%\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.649468892261002%\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.773899848254931%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.91350531107739%\"\u003e\n \u003cp\u003eIgG, mg/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e27.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e31.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e33.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e30.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.318664643399089%\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.925644916540213%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.649468892261002%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.773899848254931%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.91350531107739%\"\u003e\n \u003cp\u003eIgM, mg/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e4.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e5.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e4.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.104704097116844%\"\u003e\n \u003cp\u003e4.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.318664643399089%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.925644916540213%\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.649468892261002%\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.773899848254931%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eValues are means with SEM,\u0026nbsp;n = 6 sows/treatment group\u003c/p\u003e\n\u003cp\u003eTable 4. Effects of \u0026alpha;-Glycerol Monolaurate (\u0026alpha;-GML) supplementation during late gestation and lactation on fatty acid profiles in colostrum of sows\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"644\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"23.4472049689441%\"\u003e\n \u003cp\u003eItems\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" width=\"35.24844720496895%\"\u003e\n \u003cp\u003eDietary\u0026nbsp;\u0026alpha;-GML level (mg/kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.850931677018634%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" width=\"32.453416149068325%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003e500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003e1,000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003e2,000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.894977168949772%\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003eLinear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.036529680365298%\"\u003e\n \u003cp\u003eQuadratic\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eHigher\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC12:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC15:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC17:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n 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width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC24:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC22:6n3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eLower\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC8:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eUnchanged\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n 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width=\"8.823529411764707%\"\u003e\n \u003cp\u003e22.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e21.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e21.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e21.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC16:1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e3.10\u003c/p\u003e\n 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width=\"8.823529411764707%\"\u003e\n \u003cp\u003e32.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e31.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC20:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n 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width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC20:4n6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e1.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e1.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n 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\u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC22:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC22:1n9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC22:2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC23:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC24:1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003en-3 PUFA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e3.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e3.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e3.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e3.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003en-6 PUFA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e31.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e29.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e29.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e33.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt; 0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003en-6: n-3 PUFA ratio\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e10.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e9.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e9.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e9.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eValues are means with SEM,\u0026nbsp;n = 6 sows/treatment group\u003c/p\u003e\n\u003cp\u003eTable 5. Effects of \u0026alpha;-Glycerol Monolaurate (\u0026alpha;-GML) supplementation during late gestation and lactation on fatty acid profiles in milk of sows\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"644\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"23.4472049689441%\"\u003e\n \u003cp\u003eItems\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" width=\"35.24844720496895%\"\u003e\n \u003cp\u003eDietary\u0026nbsp;\u0026alpha;-GML level (mg/kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.850931677018634%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" width=\"32.453416149068325%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003e500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003e1,000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003e2,000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.894977168949772%\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.013698630136986%\"\u003e\n \u003cp\u003eLinear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.036529680365298%\"\u003e\n \u003cp\u003eQuadratic\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eHigher\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC12:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC18:3n3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e1.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e1.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e1.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC20:5n3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n 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width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC24:1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n 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width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC20:3n6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n 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width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC16:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e34.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e32.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e33.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e32.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n 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width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC18:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e3.69\u003c/p\u003e\n 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width=\"8.823529411764707%\"\u003e\n \u003cp\u003e18.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e18.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC20:0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n 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width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC20:4n6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC20:3n3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC22:1n9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC22:2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003eC22:6n3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003en-3 PUFA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e1.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e2.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e2.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e2.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003en-6 PUFA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e19.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e18.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e18.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e18.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.374613003095977%\"\u003e\n \u003cp\u003en-6: n-3 PUFA ratio\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e10.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e8.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e8.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e8.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.455108359133128%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.823529411764707%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.229102167182663%\"\u003e\n \u003cp\u003e\u0026lt;0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eValues are means with SEM,\u0026nbsp;n = 6 sows/treatment group\u003c/p\u003e\n\u003cp\u003eTable 6. Effects of \u0026alpha;-Glycerol Monolaurate (\u0026alpha;-GML) supplementation during late gestation and lactation on serum immunoglobulin levels on day 21 of piglets\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n \u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"606\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"19.306930693069308%\"\u003e\n \u003cp\u003eItems\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" width=\"39.93399339933993%\"\u003e\n \u003cp\u003eDietary\u0026nbsp;\u0026alpha;-GML level (mg/kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"9.900990099009901%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.386138613861386%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.415841584158416%\"\u003e\n \u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.056105610561056%\"\u003e\n \u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.05152224824356%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.05152224824356%\"\u003e\n \u003cp\u003e500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.05152224824356%\"\u003e\n \u003cp\u003e1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.05152224824356%\"\u003e\n \u003cp\u003e2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.159250585480095%\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.943793911007026%\"\u003e\n \u003cp\u003eLinear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.690866510538642%\"\u003e\n \u003cp\u003eQuadratic\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.370860927152318%\"\u003e\n \u003cp\u003eIgA, \u0026mu;g/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e10.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e10.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e11.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e10.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.42384105960265%\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.443708609271523%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.092715231788079%\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.370860927152318%\"\u003e\n \u003cp\u003eIgG, mg/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e5.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e5.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e5.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e5.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.42384105960265%\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.443708609271523%\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.092715231788079%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.370860927152318%\"\u003e\n \u003cp\u003eIgM, \u0026mu;g/mL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e5.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e5.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e6.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e5.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.933774834437086%\"\u003e\n \u003cp\u003e0.248\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.42384105960265%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.443708609271523%\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.092715231788079%\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eValues are means with SEM,\u0026nbsp;n = 6 piglets/treatment group\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-animal-science-and-biotechnology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jasb","sideBox":"Learn more about [Journal of Animal Science and Biotechnology](http://jasbsci.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/jasb/default.aspx","title":"Journal of Animal Science and Biotechnology","twitterHandle":"@animalplantsci","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Alpha glycerol monolaurate, Fatty acid, Immune status, Microbiota, Sows, Suckling piglets","lastPublishedDoi":"10.21203/rs.3.rs-2116106/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2116106/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e: Physiological changes during lactation cause oxidative stress in sows, reduce immunity, and hamper the growth capacity of piglets. Alpha glycerol monolaurate (α-GML) has potential for improving the health of sows and the growth of suckling piglets.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e: Eighty sows were allocated randomly to four groups: basal diet and basal diets supplemented with 500, 1000, or 2000 mg/kg α-GML. The experiment started on d 85 of gestation and lasted until piglets were weaned on d 21 of lactation. The number of live-born piglets was standardized to 12 ± 1 per sow on day of parturition. On d 0 and 21 of lactation, body weight of piglets was measured and milk samples were obtained from sows, and serum samples and feces from piglets were obtained on d 21.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e: Feed intake, backfat loss, and weaning estrus interval did not differ among the four groups of sows. Maternal α-GML supplementation increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) the body weight of piglets at weaning. The IgA and IgG levels were greater (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in a quadratic manner in the milk of sows as dietary α-GML increased. Concerning fatty acid profile, C12:0, C15:0, C17:0, C18:2n6c, C18:3n3, C24:0, and C22:6n3 were higher (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in linear and quadratic manners in colostrum of sows-fed α-GML diets compared with the control sows. There was lower (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) n-6: n-3 polyunsaturated fatty acid (PUFA) ratio in milk than in the control sows. Maternal α-GML increased the abundance of \u003cem\u003eFirmicutes \u003c/em\u003e(\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) and decreased the abundance of \u003cem\u003eProteobacteria \u003c/em\u003e(\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) of piglet fecal microbiota.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e: Dietary supplementation with α-GML improved milk immunoglobulins and fatty acids of sows, thereby improving the health and growth of piglets.\u003c/p\u003e","manuscriptTitle":"Supplementation alpha glycerol monolaurate during late gestation and lactation enhanced sow performance, ameliorated milk composition, and improved growth of suckling piglets","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2022-10-10 19:05:39","doi":"10.21203/rs.3.rs-2116106/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revision","date":"2022-11-01T02:14:58+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2022-10-05T18:50:22+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2022-10-05T09:49:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2022-09-30T06:29:29+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Animal Science and Biotechnology","date":"2022-09-29T21:36:53+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-animal-science-and-biotechnology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jasb","sideBox":"Learn more about [Journal of Animal Science and Biotechnology](http://jasbsci.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/jasb/default.aspx","title":"Journal of Animal Science and Biotechnology","twitterHandle":"@animalplantsci","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"4693caf8-02b7-483c-8f64-cb95f368a102","owner":[],"postedDate":"October 10th, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2023-10-16T20:25:05+00:00","versionOfRecord":{"articleIdentity":"rs-2116106","link":"https://doi.org/10.1186/s40104-023-00848-x","journal":{"identity":"journal-of-animal-science-and-biotechnology","isVorOnly":false,"title":"Journal of Animal Science and Biotechnology"},"publishedOn":"2023-04-05 20:22:15","publishedOnDateReadable":"April 5th, 2023"},"versionCreatedAt":"2022-10-10 19:05:39","video":"","vorDoi":"10.1186/s40104-023-00848-x","vorDoiUrl":"https://doi.org/10.1186/s40104-023-00848-x","workflowStages":[]},"version":"v1","identity":"rs-2116106","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-2116106","identity":"rs-2116106","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}