Effects of dietary mineral level and creep feed provision on lactating sows during heat stress

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The CF group showed lower ( P < 0.05) respiratory rate on days 8, 10, 11, and 14. ADV and CF groups showed lower ( P < 0.05) body weight loss during lactation. A tendency for decreased ( P = 0.063) loss of back fat thickness in the CF group. ADV group shows higher ( P < 0.05) weaned piglet weight and survivability. CF group showed lower hair cortisol concentration ( P < 0.05) with higher ( P < 0.05) piglet survivability. ADV and CF groups showed lower ( P < 0.05) serum TNF-α level, also increased ( P < 0.05) superoxide dismutase and malondialdehyde levels. In milk, the level of Fe, Mn, and Se increased ( P < 0.05) in the ADV group. Also, feces excreted higher ( P < 0.05) Zn, Fe, Mn, and Se. In conclusion, while both ADV and CF had beneficial effects, ADV posed a risk of increased mineral excretion. Given stricter regulations on dietary trace minerals, CF could be an effective strategy to enhance the performance of sows and piglets under HS. Heat stress Trace mineral Creep feed Lactating sow Cortisol Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Global warming has caused significant damage to the swine industry (Muns et al., 2016). The Earth's climate is unequivocally warming, with a global average surface temperature increase of approximately 0.72°C from 1991 to 2020 (Copernicus Climate Change Service, 2024). Rising temperatures induced physiological changes and led to decreased productivity (Chen et al., 2018; Tajudeen et al., 2022). In pigs, heat stress (HS) increases peripheral blood flow to the skin to decrease body temperature, while internal blood flow decreases (Chasaeling et al., 2020; Xia et al., 2022). This shift impairs the transmission of oxygen, and nutrients, compromising the gut cell tight junction ease (Ringseis and Eder, 2022; Xia et al., 2022). Tight junctions are located in the small gap between epithelial cells and block detrimental substrates that can increase pathogenic proliferation and oxidative stress (Xia et al, 2018; Patra and Kar, 2021). During HS, pigs increase their respiratory rate (RR) to expel internal heat in the lungs, as increased blood flow near the skin helps regulate body temperature (Muns et al., 2016; Jeong et al., 2021; Kinara et al., 2023). Lactating sows are particularly vulnerable to HS due to their high heat increment from heavy weight and pressure from suckling piglets (Riveiro et al., 2018). As previously reported, HS negatively impacts reproductive performance, gut health, and immune status in pigs (Pathak et al., 2018; Zhao and Kim, 2020; Wang et al., 2023). Moreover, this damage can pass to suckling piglets (Bjerg et al., 2020). As global temperatures continue to rise, the impact of HS on the swine industry is becoming increasingly critical. To mitigate productivity loss during hot seasons, numerous studies have focused on preventing HS in the swine industry (Cabezón et al., 2017; Tajudeen et al., 2022). Various nutritional and management strategies have been suggested to alleviate HS in lactating sows (Chen et al., 2021; Oh et al., 2024; Santos et al., 2024). A notable nutritional approach is the supplementation of additional trace minerals such as Cu, Zn, Fe, Mn, and Se, which are known for their antioxidant properties. These microminerals act as cofactors and facilitate enzymatic reactions (Kim et al., 2023), and improve the immune and antioxidant systems in the body (Payne et al., 2006; Buffler et al., 2017; Lu et al., 2018; Chen et al., 2019; Edmunds et al., 2022). Moreover, dietary minerals accumulate in milk and can be transferred to piglets (Ma et al., 2020). Supplementing these minerals can improve piglet growth performance and immune status (Villagómez et al., 2021). However, most studies have investigated these minerals individually, with limited research on their combined effects. One of the management solutions involves providing creep feed (CF) to suckling piglets, thereby alleviating the lactation pressure on sows under HS. The CF, which contains highly palatable ingredients, provides additional nutrients to piglets alongside milk and helps reduce nursing stress on sows (Middlekoop et al., 2019; Kobek-Kjeldager et al., 2020; Blavi et al., 2021). CF intake during lactation boosts post-weaning feed intake and average daily gain while maintaining nutrient supply can prevent villous atrophy and reduce the risk of post-weaning diarrhea. (Kuller et al., 2010; De Vos et al., 2013). However, information on the interactive effects of dietary mineral levels in lactating sow diets and CF provision is limited. Therefore, we hypothesize that higher mineral content in lactation diets and CF provision can reduce HS. This study evaluated the combined impact of different mineral levels and CF provision on reproductive performance, stress levels, and immune status of lactating sows under HS conditions. Material and Methods Animals, feed, and experimental design A total of forty multiparous sows (Landrace × Yorkshire cross-bred; 241.60 ± 24.43 kg, average parity, 3.41) were used to compare the effects of mineral level in lactating sow diet and CF provision on the reproductive performance of lactating sows during HS (from July to August 2022, Republic of Korea). Sows were selected based on normal performance and the absence of abnormal symptoms, such as lameness. The experimental diet was composed of corn-soybean meal-based diet and all of nutrient level met the nutrient recommendation of the National Research Council (NRC, 2012). The ingredient detail and calculated composition are shown in Table 1. This trial was designed as a 2×2 factorial arrangement with two dietary mineral levels (STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, the diet contains 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively) and with or without CF provision (-, +). Ten replicates with one sow per replicate were located in each treatment (Table 2). This trial was started after the farrowing and weaning period. The experimental period was 21 days during the lactation. The sows were chosen when they were moved from the gestation room to the farrowing room. Temperature and humidity index Temperature and humidity were measured in the same place in each room to record consistent data and monitored using an automatic data recorder (TM-305U, TENMARS, Taipei, Taiwan) during the study. Temperature and humidity index (THI) was used to evaluate the scale of stress in the sow. The THI score is calculated by using the equation of Moturi et al. (2022). The equation for the THI score is as follows: THI = (1.8× T +32) − [(0.55−0.0055× RH ) × (1.8× T -26)]. T = temperature in degree (℃) RH = relative humidity in percent (%) Evaluated temperatures were in between 23.6 and 29.6 ℃, and THI was in between 70.91 and 80.57 (Fig. 1). During the experiment, all of the sows were under HS. Rectal temperature and respiratory rate In this experiment, rectal temperature (RT) and RR were estimated four times a day (6:30, 10:30, 14:30, and 18:30). To measure RT, a thin and small thermometer was taken into the rectum. To measure RR, the observer stood for one minute per sow to count abdominal movement. The mean of these recorded values was used (Tajudeen et al., 2022). Reproductive performance At 112 days of pregnancy and weaning, the body weight (BW) and backfat thickness (BF) of sows were thoroughly examined. The BF of the sow was evaluated three times through the use of an ultrasonic measuring tool (Anyscan BF, SONG KANG GLC, Seongnam, Korea) at 6.5 cm from the 10th rib, and the mean values were determined. Feed intake during the lactating period (21 days) was used to examine average daily feed intake (ADFI). Farrowing duration was observed until the placenta appearance after the first delivery. To evaluate weaning to estrus interval, we checked two times a day (7:00 and 16:00) estrus. At the 24 hours after farrowing and weaning, litter size and weight were estimated. Hair cortisol The analysis of hair cortisol was conducted using the method described by Tajudeen et al (2022). Existing hair on the forehead was removed at the trial start and new hair was taken for analysis. The collected hair was put in the beaker and washed at least 3 times using isopropanol and dried at 35°C for three days until fully dried. After dried, the samples were placed in an EML plastic tube with a bead beater and steel pellets (tacoTMPrep, 50/60 Hz 2A, GeneReach, Taichung, Taiwan). Hair cortisol extracted by methanol was analyzed using ELISA kit (ADI-900-071, Enzo Life Sciences, Farmingdale, NY, USA) to examine the cortisol level in the hair sample of each sow. Immune status At the end of lactation, immune status analysis was carried out for each sow. Blood was drawn out from the jugular vein and moved to vacutainer SST tubes. Samples were placed in a room temperature (25 ℃) and centrifuged at 2,500 × g for 10 minutes. Tumor necrosis factor-α (TNF-α) (Cat # MBS2019932, MyBioSource, San Diego, CA, US), lipopolysaccharide (LPS), and lipopolysaccharide-binding protein (LBP) were measured using ELISA technology (Nanjing Jiancheng Bioengineering Institute, Nanjing, China). Antioxidant status For the antioxidant enzyme activity analysis, the description from the ELISA kit was used. Reactive oxygen species (ROS), hydrogen peroxide (H 2 O 2 ), total antioxidant capacity (TAC), superoxide dismutase (SOD), malondialdehyde (MDA), and catalase activity in the serum were assessed. The product of ROS, H2O2, TAC, SOD, MDA, and catalase were CAT#MBS2602780, CAT#MBS822356, CAT#MBS2548432, CAT#MBS9718960, CAT#MBS2801692, and CAT#MBS2540413 (MyBioSource, San Diego, CA, USA), respectively. For the detection of the absorbance, the microplate reader (Power Wave XS, BIoTeK, Winooski, VT, USA) was operated by the manual of each kit. Milk composition For the smooth sample collection, 1 ml of oxytocin (1 U/ml) was injected intravenously into each sow. At least 20 ml of samples were manually milked on 3, 10, and 20 days of lactation, respectively. To prevent contamination during sampling, all teats were cleaned with alcohol swabbing. Collected milk samples were put in the freezer and set at the temperature of −22 ℃. A milk analyzer (Milko Scan 133B Analyser; Foss Electric, Hillerød, Denmark) was used to evaluate fat, protein, lactose, total solid, and solid not fat content in the milk. Mineral status The mineral analysis in feed, milk, and feces were followed by the methodology of Chen et al. (2019) and Kim et al. (2022a). Firstly, feed and fecal samples were dried in the dryer oven at a temperature of 65 ℃ for 72 hours. Samples were ground and milled to a consistent particle size of 0.5 mm for the analysis. In the case of milk samples, freeze-dryer (Telstar model freeze dryer obtained from Fisher Scientific S.L., Madrid, Spain) with temperatures of -55 ℃ for 72 hours. Subsequently, samples of feed, milk, and feces were put in a glass tube with a 65% concentration of nitric acid and subjected to the microwave oven (Ultrawave model by Milestone Srl, Sorisole, Italy). All of the samples were analyzed using inductively coupled plasma-mass spectroscopy (ICP-MS; Agilent 7500 model, Santa Clara, CA) Statistical analysis The data from this study was analyzed with a 2 × 2 factorial arrangement of the completely randomized design. Individual sows were considered the experimental unit. To compare the effects of mineral supplementation in sow diets (STD vs ADV) and CF provision (- vs +) among treatments, statistical analysis was conducted using the general linear model procedure in the SAS program (SAS Inst., Inc., Cary, NC). The statistical model was as follows: Yijk=μ+Mi+Cj+(M×C)ij+eijk where: Yijk = dependent variable (e.g., reproductive performance, stress level, immune status), μ = overall mean, Mi = fixed effect of mineral level ( i =1,2; STD vs. ADV), Cj = fixed effect of creep feed provision ( j =1,2; -CF vs. +CF), (M×C)ij = interaction effect between mineral level and creep feed provision, eijke = residual error. If the P -value was lower than 0.05, each unit was regarded as statistically significant. The main effects of mineral level of lactation diet and CF provision and their interaction were examined. Results Rectal temperature and respiratory rate During the lactating period, RT was not significantly affected by dietary minerals and CF (Fig. 2). The CF-provided group showed significantly lower ( P < 0.05) RR on days 8, 10, 11, and 14 of lactation (Fig. 3). Except for days 8, 10, 11, and 14, there were no differences in RR among treatments. Sow reproductive performance Throughout the experiment, sow BW was not affected at day 112 of gestation, 24 h postpartum, and weaning among all treatments. However, BW loss during lactation was reduced ( P < 0.05) when sows received the ADV level of mineral and CF provision (Table 3). There was no interaction effect between dietary mineral level and CF provision on BW loss. Sow BF was not affected during day 112 of gestation, 24 h postpartum, and weaning among whole treatments. Only BF loss during lactation showed a tendency to be reduced ( P = 0.063) when CF was provided to suckling piglets. The dietary mineral level did not affect BF loss during lactation. The ADFI during lactation, farrowing duration, and weaning to estrus interval were not affected by dietary mineral level and CF provision. During lactation, the number of total born, born alive, and weaned piglets were not affected by additional mineral supplementation and CF provision. Piglet survivability was significantly improved ( P < 0.05) in the ADV and CF-provided group (Table 4). There was no difference in litter and piglet birth weight. At weaning, litter and piglet weights increased ( P < 0.05) when sows were fed high dietary mineral levels compared with the STD group. There were no interaction effects among the treatments. Hair cortisol and antioxidant status Sows with CF provision showed reduced ( P < 0.05) hair cortisol compared to sows without CF provision (Fig. 4). The dietary mineral level did not affect hair cortisol levels in lactating sows in this study. The SOD significantly increased ( P < 0.05) (Fig. 5a) while MDA decreased ( P < 0.05) (Fig. 5b) when lactating sow receive ADV or CF provision. However, catalase (Fig. 5c), ROS (Fig. 5d), H 2 O 2 (Fig. 5e), and TAC (Fig. 5f) showed no differences between dietary minerals and CF provision. Inflammatory cytokine and endotoxin The ADV and CF-provided groups showed lower ( P < 0.05) TNF-α levels in serum (Table 5). However, LPS and LBP were not different in dietary mineral levels in lactating sow diet and CF provision. Milk composition No differences were detected in sow milk fat, protein, lactose, total solid, and solid not fat level was not different across dietary mineral levels in lactating sow diet and CF provision (Table 6). Milk and fecal mineral composition Increased concentrations of Fe, Mn, and Se were observed in the milk of sows in the ADV group (P < 0.05). Similarly, fecal concentrations of Cu, Zn, Fe, Mn, and Se were higher (P < 0.05) in the ADV group sows (Table 7). However, the CF-provided group showed no difference in milk and fecal Cu, Zn, Fe, Mn, and Se concentrations. Discussion Currently, one of the most critical issues in the livestock industry is the decrease in productivity due to global warming (Guo et al., 2018; McManus et al., 2023). The HS exposure during lactation is a major concern in the swine industry due to the negative impacts on reproductive performance (Cabezón et al., 2017; Chen et al., 2018; Bjerg et al., 2020). To mitigate this impact, sows continuously maintain homeostasis through physiological changes (Chasaeling et al., 2020; Oh et al., 2022). Due to the absence of sweat glands, RR and RT are key indicators of stress in pigs (Muns et al., 2016; Jeong et al., 2021; Kinara et al., 2023). Previous research has shown the relationship between HS and physiological differences in pigs under high temperatures (Xia et al., 2022; Oh et al., 2024; Santos et al., 2024). In our study, RR and RT gradually increased from parturition to weaning, indicating sows were under HS. Mineral supplementation showed no significant effects on RR and RT in our study, similar to findings by Andrade et al. (2024). Conversely, CF provision effectively reduced RR during lactation. Lactation increases stress levels in sows during the summer (Muns et al., 2016; Riveiro et al., 2018; Roelofs et al., 2019). The CF can reduce the number of suckling piglets nursing simultaneously, thereby mitigating stress (Yan et al., 2011). Furthermore, CF contributes to litter growth by providing additional nutrients with milk and eases nursing stress, which improves sows welfare (Sulabo et al., 2010; Middelkoop et al., 2019). To our knowledge, this is the first result demonstrating that CF provision can reduce RR under HS, suggesting further research is necessary. During lactation, the demand for trace minerals increases to support growth and production performance (Mahan et al., 2009). These minerals help reduce BW loss, weaning to estrus interval (Bertechini et al., 2012; Ma et al., 2020) and can be transferred to piglets through milk or colostrum to increase growth and survivability (Sampath et al., 2023). However, in our study, additional mineral supplementation had no significant effects on sow BW, BF, ADFI, farrowing rate, and weaning to estrus interval. This may be because the additional mineral concentrations were insufficient to impact sow performance. Due to low utilization, 70% to 95% of minerals are excreted in feces (Ma et al., 2020). The only significant difference in this study was the reduction in BW loss. One study suggested that Cu helps weight gain by enhancing energy utilization in grower pigs (Espinosa et al., 2020). In our result, there might be increased energy utilization in sows helps BW recovery. Another reason may be related to the role of CF in reducing nursing stress in sows. The CF-provided group showed reduced BW and BF loss, with lower cortisol levels. Sows have to cover large litters when piglets nurse, and milk production induces metabolic heat, which can be stressful for sows under HS. Zhao and Kim (2020) reported that reducing nursing stress can improve milk production. Amdi et al (2017) reported that litter size and nursing stress do not relate to milking frequency, but other reports indicated heat production can increase cortisol levels and reduce ADFI and milk production (Hawe et al., 2020; Ramirez et al., 2022). Our result is that CF provides additional nutrient sources to piglets, decreasing the burden on the sow nursing stress. Numerous studies suggested that dietary mineral levels higher than the NRC (2012) standard improved the growth and survivability of piglets (Payne et al., 2006; Buffler et al., 2017; Lu et al., 2018; Chen et al., 2019; Edmunds et al., 2022). Increasing dietary Cu levels linearly increased Cu concentration in milk, resulting a greater piglet growth (Lu et al., 2018). The piglet growth or litter size can be improved by supplementation of 200 mg/kg of Zn (Payne et al., 2006), 256 mg/kg of Fe (Buffler et al., 2017), or 40 mg/kg of Mn (Edmunds et al (2022), which were the doses higher than the recommended requirement in NRC (2012). Chen et al (2019) reported 6% higher preweaning survivability when fed more Se in a lactation diet under HS. However, Kim et al (2023) reported, no beneficial effects of additional trace minerals for gestation and lactation sows under normal conditions. Recent studies have rarely focused on the additional supplementation of trace minerals complex under HS conditions. Our result might be due to the individual mineral effects on piglet growth and survivability. The CF can be beneficial for modern sows with large litter sizes (Pluske et al., 2007). Earlier studies suggested that increased litter size leads to higher mortality due to lower birth weights (De Vos et al., 2013) and increased udder competition (Andersen et al., 2011). Kobek-Kjeldager et al. (2020) found that high litter size is linked to increased mortality and reduced weight gain during lactation; however, the provision of CF mitigated these negative effects. Moreover, the CF provision helps adopt solid-state feed and stimulates consumption after weaning, potentially boosting growth (Kuller et al., 2010; Blavi et al., 2021). Pluske et al (2007) reported that CF-consumed piglets had greater growth during suckling periods and after weaning. Sulabo et al (2010) reported that CF-provided piglets had more weight the day 21 of postweaning. Although no differences in piglet weight, previous reports, and this result indicate CF provision is a beneficial management method for both sows and piglets. Stress can alter pigs immune defense and antioxidant systems (Wang et al., 2023). Long-term stress activates the hypothalamic-pituitary-adrenocortical axis, triggering the release of corticotropin-releasing hormone, adrenocorticotropic hormone, and cortisol to regulate the balance between anabolism and catabolism (Kim et al., 2022b). Cortisol reflects chronic stress conditions such as HS (Pathak et al., 2018; Tajudeen et al., 2022; Ringseis and Eder, 2022). In animals, higher cortisol influences the homeostasis disruption like cytokine signaling (Cruz-Topete, and Cidlowski, 2014). CF provision effectively reduced cortisol levels, indicating that CF can alleviate nursing stress by providing an additional nutrient source for piglets, as mentioned in the sow and reproductive performance section. Yan et al (2011) reported that CF provision reduces the cortisol level of sows, by reducing the time and stimulus of suckling. Middelkoop et al (2020) reported that CF provision can moderate inactive behaviors and contact with sows. Nonetheless, as there is limited information on the effects of CF provision on cortisol levels in lactating sows under HS, further research is needed to clarify this impact. One of the harmful effects of HS is about decrease in feed intake, leading to nutrient deficiency, such as minerals. The requirement for trace minerals in animals can be influenced by their stress levels or physiological conditions. For lactating sows, milk production and recovery require additional nutrients and oxygen. During this process, peptide synthesis generates ROS, the main cause of oxidative stress. In addition, decreased blood flow in epithelial cells induces gut leakage (Patra and Kar, 2021; Xia et al., 2022). Increased gut permeability enhances the influx of substances from the gut into the bloodstream, potentially leading to heightened inflammatory responses due to endotoxin, such as LPS (Xia et al., 2018). The LPS generate ROS by stimulating oxidative activity in monocytes (Luo et al., 2019). Reduced absorption of essential minerals impairs the detoxification of these ROS by lowering cellular antioxidant capacity, which in turn can reduce the synthesis potential (Chen et al., 2019). Some studies reported intragastric administration of H₂O₂ modulates the intestinal toll-like receptor system and apoptosis, inducing oxidative stress (Hurst et al., 2017; Yin et al., 2017). However, trace minerals play critical roles in immune defense, additional supplement is suggested under HS. The Cu, Zn, and Se activate the antioxidant defense system (Liu et al., 2016). In our study, the ADV group showed lower TNF-α, MDA, and higher SOD levels. Although there was no difference in LPS level, the inflammation index was reduced. The Cu, Zn, and Mn attribute the production of SOD in epithelial cells (Sampath et al., 2023), they help reduce lipid peroxidation, as evidenced by decreased levels of MDA. Also, Se can be attributed to the antioxidative system, related to the Se-dependent glutathione peroxidase system (Dalto et al., 2015). Chen et al (2019) reported supplementation of Se in a sow diet can reduce MDA levels in plasma, by enhancing glutathione peroxidase. Zhang et al (2020) reported that the addition of Se can improve the antioxidation system and promote preweaning piglet performance. Our result agreed with previous studies. Also, excessive mineral content can lead to toxicity and antagonism with other trace minerals (Kim et al., 2023). No toxic reaction was detected in this study, meanwhile, the level of ADV can be suggested for reducing inflammation and increasing antioxidation enzyme production of sows under HS. One notable result was that the CF-provided group showed similar inflammatory and antioxidation status compared with the ADV group. There was less variation in the ADV group, but a significant difference was observed between the groups with and without CF in the STD diet group. This result might be due to a reduction in cortisol levels, which suggests modifications in the sow's immune system (Middelkoop et al., 2020). Additionally, providing an alternative nutrient source reduced competition among piglets (Yan et al., 2011). Consequently, the pressure of milking and nursing stress was alleviated. While no previous study has directly examined the effects of CF provision on sows, these findings suggest that further detailed research is needed. This research could potentially offer an alternative solution for enhancing the immune and antioxidant status of lactating sows under HS. As the risks of HS have been emphasized, extensive research has been conducted on functional materials to mitigate these risks (Villagómez-Estrada et al., 2021). Among these, minerals added to feed generally, such as Se, have a significant effect on reducing HS. Also, minerals play critical in roles in growth, reproductive function, hormone regulation, and homeostasis (Kim et al., 2023). Dietary minerals consumed by sows can be transferred to piglets through milk. Consequently, numerous studies have investigated the positive effects of supplementing lactating sow feed with functional minerals, benefiting both the sows and their piglets (Ma et al., 2020; Chen et al., 2021). In our result, the excretion of minerals was increased in sows fed on the ADV diet. However, only Fe, Mn, and Se were transferred in higher levels into milk, not Cu and Zn. This result agrees with previous findings on mineral supplementation, and antagonism between Cu, Zn, and Fe (Hill et al., 2022; Kim et al., 2023). Cu and Zn, once absorbed in the gut epithelial cells, are primarily utilized to enhance gut barrier function and immune activation (Yin et al., 2021; Medida et al., 2023). Additionally, it is well known that many studies have reviewed the low absorption rates of trace minerals (Hansen et al., 2023). Given the mentioned characteristics of their metabolic mechanisms, Cu and Zn show no difference in their levels in milk. Successful transfer of other minerals supports piglet growth and survivability in this result. Additional supplementation of trace minerals could enhance immune status during HS. However, the consideration of their excretion is necessary. Nowadays, due to environmental pollution regulations related to manure disposal, the addition of these minerals to feed is increasingly being restricted. We designed the mineral content in the diet to not exceed the Korean legal limits. Our results suggest that favorable effects on HS can be observed even with the additional supplementation of Fe, Mn, and Se, excluding Cu and Zn. Although there were no interaction effects between dietary mineral levels and CF provision, CF can modify some of the mineral effects on sows under HS. Conclusion In this study, additional dietary minerals helped reduce BW loss, cortisol, and inflammation. Also, they enhance antioxidant enzyme production, thereby effectively decreasing MDA levels. The higher concentration of Fe, Mn, and Se in milk and improved piglet growth and survivability emphasize the higher levels of Fe, Mn, and Se for lactating sows in order to reduce stress and support litter growth during HS, even though the excretion of minerals increases. Moreover, CF provision can effectively reduce hair cortisol levels, RR, and TNF-α, as well as an increase in the level of SOD, indicating reduced heat production and improved antioxidant status during lactation. Therefore, the provision of CF can help reduce stress in sows during the lactation period, alleviate the effects of HS, and improve the growth performance of piglets. Declarations Author contributions Sang Hun Ha and Min Ju Kim conceptualized and designed the study; Jun Young Mun, Seon Ah Park and Sang Sik Lee curated the data; So Dam Choi and Priscilla Neves were in charge of the formal analysis; Sang Hun Ha, Tajudeen Habeeb Temitope conducted methodology; Jin Soo Kim supervised this paper; Abdolreza Hosseindoust validated this paper; Sang Hun Ha and Min Ju Kim drafted and revised the original manuscript; All of the authors have read and approved the final manuscript. Acknowledgment The Authors of this project appreciate the support received “Cooperative Research Program for Agriculture Science and Technology Development” Rural Development Administration, Republic of Korea. (Grant No. PJ014796) Funding This work was supported by Rural Development Administration, Republic of Korea. Compliance with ethical standards The animal care and experimental protocols used in this study received approval by the Institutional Animal Care and Use Committee of Kangwon National University (Ethical code: 221005-1). Conflict of interest The authors declare that they have no conflicts of interest. Data availability Data will be made available on reasonable request. References Amdi, C., Moustsen, V. A., Oxholm, L. C., Baxter, E. M., Sørensen, G., Eriksson, K. B., Diness, L. H., Nielson, M. F. and Hansen, C. F. 2017. Comparable cortisol, heart rate and milk let-down in nurse sows and non-nurse sows. 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Formula and chemical composition of experimental basal diets (as-fed basis) Item Basal lactation diet Ingredient (%) Corn 62.06 Wheat 5.00 Soybean meal 22.22 Animal fat 3.10 Molasses 3.00 DL -Methionine (98%) 0.07 L -Lysine (78.8%) 0.28 L -Tryptophan (10%) 0.44 L -Threonine (98.5%) 0.13 L -Valine (98.5%) 0.20 Choline-chloride (50%) 0.05 Limestone 0.60 Tri-Calcium phosphate 2.00 Salt 0.50 Vitamin premix 1 0.15 Mineral premix 2 0.15 Phytase 0.05 Total 100.00 Chemical composition (%) Metabolizable energy (Kcal/kg) 3,300 Crude protein 16.15 Calcium 0.91 Available Phosphorus 0.46 SID. Lys 0.91 SID. Met 0.27 SID. Met + Cys 0.49 SID. Trp 0.18 1 Supplied /kg of vitamin premix: 12,000,000IU vitamin A, 2,400,000IU vitamin D3, 132,000IU vitamin E, 1,500mg vitamin K3, 3,000mg vitamin B1, 11,250mg vitamin B2, 3,000mg vitamin B6, 45mg vitamin B12, 36,000mg pantothenic acid, 30,000mg niacin, 600mg biotin, 4,000mg folic acid. 2 Supplied /kg of mineral premix: 80,000mg Fe, 170mg Co, 8,500mg Cu, 25,000mg Mn, 95,000mg Zn, 140mg I, 150mg Se. Table 2. The ingredients and calculated composition of creep feed Chemical composition (%) Metabolizable energy (Kcal/kg) 3,400 Crude protein 20.00 Calcium 0.90 Phosphorus 0.70 Table 3. Effects of dietary mineral level (ML) and creep feeding (CF) on sow performance under high ambient temperature ML 1 STD ADV SEM P -value CF - + - + ML CF ML×CF BW, kg d 112 236.30 243.53 239.29 247.26 11.77 0.689 0.367 0.965 24 h postpartum 214.27 224.96 217.13 227.07 11.76 0.767 0.223 0.964 Weaning 195.74 207.44 199.55 210.32 11.74 0.688 0.182 0.955 Loss during lactation 18.53 17.52 17.58 16.75 0.46 0.010 0.006 0.779 BF, mm d 112 20.98 21.02 21.22 21.05 0.46 0.678 0.841 0.747 24 h postpartum 18.31 17.83 17.99 17.93 0.45 0.731 0.401 0.513 Weaning 15.53 15.86 15.96 16.06 0.41 0.284 0.463 0.694 Loss during lactation 2.78 1.97 2.03 1.87 0.36 0.102 0.063 0.207 ADFI, kg/d 5.38 5.33 5.34 5.49 0.15 0.539 0.593 0.329 Farrowing duration, h 4.69 4.34 4.52 4.43 0.26 0.827 0.235 0.480 Weaning to estrus interval, d 4.50 4.40 4.30 4.60 0.39 0.935 0.719 0.473 1 STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively. Abbreviation: SEM, standard error of means; BW, body weight; BF, backfat thickness; ADFI, average daily feed intake. Table 4. Effects of dietary mineral level (ML) and creep feeding (CF) on litter performance under high ambient temperature ML 1 STD ADV SEM P -value CF - + - + ML CF ML × CF Litter size, n Total born 14.20 13.80 14.20 14.50 1.07 0.647 0.948 0.647 Born alive 13.30 12.90 13.00 13.40 0.91 0.878 0.952 0.539 Weaned 11.50 11.90 11.90 12.60 0.79 0.332 0.229 0.790 Piglet survivability, % 86.79 92.40 91.42 94.40 2.19 0.022 0.001 0.150 Litter weight, kg At birth 17.60 17.53 17.35 18.06 1.08 0.858 0.675 0.610 At weaning 64.57 67.79 71.02 74.64 3.07 0.033 0.261 0.948 Piglet weight, kg At birth 1.33 1.36 1.34 1.36 0.06 0.937 0.513 0.833 At weaning 5.65 5.72 6.00 5.92 0.23 0.048 0.985 0.587 1 STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively. Abbreviation: SEM, standard error of means. Table 5. Effects of dietary mineral level (ML) and creep feeding (CF) on inflammatory cytokine and gut permeability index of sow under high ambient temperature ML 1 STD ADV SEM P -value CF - + - + ML CF ML × CF TNF-α, pg/ml 146.56 138.18 134.79 126.16 3.79 0.006 0.003 0.962 LPS, ng/ml 79.30 78.62 79.05 78.04 0.83 0.489 0.158 0.775 LBP, ng/ml 26.50 26.01 26.37 25.99 0.59 0.865 0.311 0.895 1 STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively. Abbreviation: SEM, standard error of means; TNF-α, tumor necrosis factor-α; LPS, Lipopolysaccharide; LBP, lipopolysaccharide-binding protein. Table 6. Effects of dietary mineral level (ML) and creep feeding (CF) on milk composition of sow under high ambient temperature ML 1 STD ADV SEM P -value CF - + - + ML CF ML × CF Milk composition, % Fat 8.87 8.51 8.40 8.28 0.40 0.229 0.395 0.686 Protein 5.64 5.70 5.66 5.67 0.39 0.984 0.897 0.919 Lactose 6.30 6.18 6.51 6.55 0.38 0.292 0.883 0.760 Total solid 19.89 19.93 19.62 19.95 0.58 0.765 0.653 0.728 Solid not fat 12.43 11.87 12.28 11.83 0.46 0.778 0.132 0.873 1 STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively. Abbreviation: SEM, standard error of means. Cite Share Download PDF Status: Published Journal Publication published 09 Apr, 2025 Read the published version in Tropical Animal Health and Production → Version 1 posted Editorial decision: Accept as is for publication 28 Mar, 2025 Editor assigned by journal 24 Mar, 2025 First submitted to journal 17 Mar, 2025 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-5384757","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":433395534,"identity":"9ea335d2-de63-4145-8440-13e215bc741b","order_by":0,"name":"SangHun Ha","email":"","orcid":"","institution":"Kangwon National University","correspondingAuthor":false,"prefix":"","firstName":"SangHun","middleName":"","lastName":"Ha","suffix":""},{"id":433395535,"identity":"9ea36046-316b-483a-aded-78d79f8b6886","order_by":1,"name":"MinJu Kim","email":"","orcid":"","institution":"Hankyong National University","correspondingAuthor":false,"prefix":"","firstName":"MinJu","middleName":"","lastName":"Kim","suffix":""},{"id":433395536,"identity":"fccab7f6-c82b-494f-a6b3-d10e009196f6","order_by":2,"name":"JunYoung Mun","email":"","orcid":"","institution":"Kangwon National University","correspondingAuthor":false,"prefix":"","firstName":"JunYoung","middleName":"","lastName":"Mun","suffix":""},{"id":433395537,"identity":"f0528799-b531-4ece-b69f-88eab65cb45e","order_by":3,"name":"Abdolreza Hosseindoust","email":"","orcid":"","institution":"Kangwon National University","correspondingAuthor":false,"prefix":"","firstName":"Abdolreza","middleName":"","lastName":"Hosseindoust","suffix":""},{"id":433395538,"identity":"b0364edc-b91c-4ec7-ac30-0a23ca160477","order_by":4,"name":"Tajudeen Habeeb Temitope","email":"","orcid":"","institution":"Kangwon National University","correspondingAuthor":false,"prefix":"","firstName":"Tajudeen","middleName":"Habeeb","lastName":"Temitope","suffix":""},{"id":433395539,"identity":"fba40555-d041-4cf9-aa81-4849fbb685bd","order_by":5,"name":"SoDam Choi","email":"","orcid":"","institution":"Kangwon National University","correspondingAuthor":false,"prefix":"","firstName":"SoDam","middleName":"","lastName":"Choi","suffix":""},{"id":433395540,"identity":"9e94f67c-826a-477d-a6ee-1b00c30f736f","order_by":6,"name":"SeonAh Park","email":"","orcid":"","institution":"Kangwon National University","correspondingAuthor":false,"prefix":"","firstName":"SeonAh","middleName":"","lastName":"Park","suffix":""},{"id":433395541,"identity":"58ddf6fb-a54f-4c1c-b00a-deaba996ec95","order_by":7,"name":"Priscilla Neves Silvestre","email":"","orcid":"","institution":"Kangwon National University","correspondingAuthor":false,"prefix":"","firstName":"Priscilla","middleName":"Neves","lastName":"Silvestre","suffix":""},{"id":433395542,"identity":"7bf2a3a4-0e3c-4b4b-8780-ddc0d7e71ac6","order_by":8,"name":"SangSik Lee","email":"","orcid":"","institution":"Kangwon National University","correspondingAuthor":false,"prefix":"","firstName":"SangSik","middleName":"","lastName":"Lee","suffix":""},{"id":433395543,"identity":"3bb210b2-8cd3-49c1-8610-df249d5466d5","order_by":9,"name":"JinSoo Kim","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9UlEQVRIiWNgGAWjYBACCYYDjA8+VNgYIImxEdTCbDjjTBpJWhjYpHlbDpOgRbLx+GNj3obzxvyz269JfNzBIM/fwJb2AZ8WaYYzhg/n7rhtJnHnTJnkzDMMhjMOsB2egU+LHMMZZoO3Z27bMNzISbvN28bAuIGBvRmvw+QYjj+T4G07ZyMP1WJPUIs0wwEzSd62A2YGN9KPgbQkbmBgO4xXi2TDGWNgICcbG97IYf85s00iecZhtmS8WiRuHH8IjEo7w3k30h8bfGyzse1vbzPGq4VB4gCMxQOKG2A8MePXwMDA3wBjsT8gpHYUjIJRMApGKAAARN5OEWcn9AYAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0002-9518-7917","institution":"Kangwon National University","correspondingAuthor":true,"prefix":"","firstName":"JinSoo","middleName":"","lastName":"Kim","suffix":""}],"badges":[],"createdAt":"2024-11-04 04:35:04","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5384757/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5384757/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11250-025-04411-w","type":"published","date":"2025-04-09T16:05:22+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":79237175,"identity":"9172a253-e4a3-4450-afa8-a4875ac55dfa","added_by":"auto","created_at":"2025-03-26 04:27:23","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":605636,"visible":true,"origin":"","legend":"\u003cp\u003eAmbient temperature (blue line) and temperature-humidity index (THI; Orange line) during experimental period.\u003c/p\u003e","description":"","filename":"Figure1..png","url":"https://assets-eu.researchsquare.com/files/rs-5384757/v1/c59f0d97fd829ef36d376e3d.png"},{"id":79236470,"identity":"0f19bc51-1164-4496-94dc-d91b78e18dea","added_by":"auto","created_at":"2025-03-26 04:19:23","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":316106,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of dietary mineral level (ML) and creep feeding (CF) on respiratory rate in sows during lactation period under high ambient temperature. STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively; -, without CF provision; +, with CF provision. Asterisks (*) indicate statistical significance (\u003cem\u003eP \u003c/em\u003e\u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"Figure2..png","url":"https://assets-eu.researchsquare.com/files/rs-5384757/v1/604e3b659ec477c5901f0f59.png"},{"id":79236471,"identity":"210e8482-fd05-490d-9de3-56ebaede9b9d","added_by":"auto","created_at":"2025-03-26 04:19:23","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":297734,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of dietary mineral level (ML) and creep feeding (CF) on rectal temperature in sows during lactation period under high ambient temperature. STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively; -, without CF provision; +, with CF provision.\u003c/p\u003e","description":"","filename":"Figure3..png","url":"https://assets-eu.researchsquare.com/files/rs-5384757/v1/0bbf6978128104491c9ff27d.png"},{"id":79236482,"identity":"52775ad8-0acb-4f16-9951-b285b17b023b","added_by":"auto","created_at":"2025-03-26 04:19:24","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":260186,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of dietary mineral level (ML) and creep feeding (CF) on hair cortisol of sow during lactation period under high ambient temperature. STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively; -, without CF provision; +, with CF provision. Different letters on the bar (a-c) indicate statistical significance (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"Figure4..png","url":"https://assets-eu.researchsquare.com/files/rs-5384757/v1/3f1960aa4d611460549507f1.png"},{"id":79236486,"identity":"609851d4-131e-41c2-82e5-07d677d005b8","added_by":"auto","created_at":"2025-03-26 04:19:24","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":724145,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of dietary mineral level (ML) and creep feeding (CF) on superoxide dismutase (SOD; a), malondialdehyde (MDA; b), catalase (CAT; c), reactive oxygen species (ROS; d), hydrogen peroxide (H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e; e), and total antioxidant capacity (TAC; f) of sow during lactation period under high ambient temperature. STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively; -, without CF provision; +, with CF provision. Different letters on the bar (\u003csup\u003ea-c\u003c/sup\u003e) indicates statistical significance (\u003cem\u003eP \u003c/em\u003e\u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-5384757/v1/f570159200ceb63f0d17dc82.jpg"},{"id":80559191,"identity":"a38890fb-f927-4dce-9752-3a4a4f97e0fd","added_by":"auto","created_at":"2025-04-14 16:18:11","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3274491,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5384757/v1/cc78de64-2150-4c44-a741-5cfd17c7a2d7.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eEffects of dietary mineral level and creep feed provision on lactating sows during heat stress\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eGlobal warming has caused significant damage to the swine industry (Muns et al., 2016). The Earth's climate is unequivocally warming, with a global average surface temperature increase of approximately 0.72°C from 1991 to 2020 (Copernicus Climate Change Service, 2024). Rising temperatures induced physiological changes and led to decreased productivity (Chen et al., 2018; Tajudeen et al., 2022). In pigs, heat stress (HS) increases peripheral blood flow to the skin to decrease body temperature, while internal blood flow decreases (Chasaeling et al., 2020; Xia et al., 2022). This shift impairs the transmission of oxygen, and nutrients, compromising the gut cell tight junction ease (Ringseis and Eder, 2022; Xia et al., 2022). Tight junctions are located in the small gap between epithelial cells and block detrimental substrates that can increase pathogenic proliferation and oxidative stress (Xia et al, 2018; Patra and Kar, 2021). During HS, pigs increase their respiratory rate (RR) to expel internal heat in the lungs, as increased blood flow near the skin helps regulate body temperature (Muns et al., 2016; Jeong et al., 2021; Kinara et al., 2023). Lactating sows are particularly vulnerable to HS due to their high heat increment from heavy weight and pressure from suckling piglets (Riveiro et al., 2018). As previously reported, HS negatively impacts reproductive performance, gut health, and immune status in pigs (Pathak et al., 2018; Zhao and Kim, 2020; Wang et al., 2023). Moreover, this damage can pass to suckling piglets (Bjerg et al., 2020). As global temperatures continue to rise, the impact of HS on the swine industry is becoming increasingly critical.\u003c/p\u003e\n\u003cp\u003eTo mitigate productivity loss during hot seasons, numerous studies have focused on preventing HS in the swine industry (Cabezón et al., 2017; Tajudeen et al., 2022). Various nutritional and management strategies have been suggested to alleviate HS in lactating sows (Chen et al., 2021; Oh et al., 2024; Santos et al., 2024). A notable nutritional approach is the supplementation of additional trace minerals such as Cu, Zn, Fe, Mn, and Se, which are known for their antioxidant properties. These microminerals act as cofactors and facilitate enzymatic reactions (Kim et al., 2023), and improve the immune and antioxidant systems in the body (Payne et al., 2006; Buffler et al., 2017; Lu et al., 2018; Chen et al., 2019; Edmunds et al., 2022). Moreover, dietary minerals accumulate in milk and can be transferred to piglets (Ma et al., 2020). Supplementing these minerals can improve piglet growth performance and immune status (Villagómez et al., 2021). However, most studies have investigated these minerals individually, with limited research on their combined effects.\u003c/p\u003e\n\u003cp\u003eOne of the management solutions involves providing creep feed (CF) to suckling piglets, thereby alleviating the lactation pressure on sows under HS. The CF, which contains highly palatable ingredients, provides additional nutrients to piglets alongside milk and helps reduce nursing stress on sows (Middlekoop et al., 2019; Kobek-Kjeldager et al., 2020; Blavi et al., 2021). CF intake during lactation boosts post-weaning feed intake and average daily gain while maintaining nutrient supply can prevent villous atrophy and reduce the risk of post-weaning diarrhea. (Kuller et al., 2010; De Vos et al., 2013). However, information on the interactive effects of dietary mineral levels in lactating sow diets and CF provision is limited. Therefore, we hypothesize that higher mineral content in lactation diets and CF provision can reduce HS. This study evaluated the combined impact of different mineral levels and CF provision on reproductive performance, stress levels, and immune status of lactating sows under HS conditions.\u003c/p\u003e"},{"header":"Material and Methods","content":"\u003cp\u003e\u003cstrong\u003eAnimals, feed, and experimental design\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of forty multiparous sows (Landrace \u0026times; Yorkshire cross-bred; 241.60 \u0026plusmn; 24.43 kg, average parity, 3.41) were used to compare the effects of mineral level in lactating sow diet and CF provision on the reproductive performance of lactating sows during HS (from July to August 2022, Republic of Korea). Sows were selected based on normal performance and the absence of abnormal symptoms, such as lameness. The experimental diet was composed of corn-soybean meal-based diet and all of nutrient level met the nutrient recommendation of the National Research Council (NRC, 2012). The ingredient detail and calculated composition are shown in Table 1. This trial was designed as a 2\u0026times;2 factorial arrangement with two dietary mineral levels (STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, the diet contains 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively) and with or without CF provision (-, +). Ten replicates with one sow per replicate were located in each treatment (Table 2). This trial was started after the farrowing and weaning period. The experimental period was 21 days during the lactation. The sows were chosen when they were moved from the gestation room to the farrowing room.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTemperature and humidity index\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTemperature and humidity were measured in the same place in each room to record consistent data and monitored using an automatic data recorder (TM-305U, TENMARS, Taipei, Taiwan) during the study. Temperature and humidity index (THI) was used to evaluate the scale of stress in the sow. The THI score is calculated by using the equation of Moturi et al. (2022). The equation for the THI score is as follows:\u003c/p\u003e\n\u003cp\u003eTHI = (1.8\u0026times;\u003cem\u003eT\u003c/em\u003e+32) \u0026minus; [(0.55\u0026minus;0.0055\u0026times;\u003cem\u003eRH\u003c/em\u003e)\u0026nbsp;\u0026times;\u0026nbsp;(1.8\u0026times;\u003cem\u003eT\u003c/em\u003e-26)].\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eT\u003c/em\u003e = temperature in degree (℃)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eRH\u003c/em\u003e = relative humidity in percent (%)\u003c/p\u003e\n\u003cp\u003eEvaluated temperatures were in between 23.6 and 29.6\u0026nbsp;℃, and THI was in between 70.91 and 80.57 (Fig. 1). During the experiment, all of the sows were under HS.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRectal temperature and respiratory rate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this experiment, rectal temperature (RT) and RR were estimated four times a day (6:30, 10:30, 14:30, and 18:30). To measure RT, a thin and small thermometer was taken into the rectum. To measure RR, the observer stood for one minute per sow to count abdominal movement. The mean of these recorded values was used (Tajudeen et al., 2022).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eReproductive performance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAt 112 days of pregnancy and weaning, the body weight (BW) and backfat thickness (BF) of sows were thoroughly examined. The BF of the sow was evaluated three times through the use of an ultrasonic measuring tool (Anyscan BF, SONG KANG GLC, Seongnam, Korea) at 6.5 cm from the 10th rib, and the mean values were determined. Feed intake during the lactating period (21 days) was used to examine average daily feed intake (ADFI). Farrowing duration was observed until the placenta appearance after the first delivery. To evaluate weaning to estrus interval, we checked two times a day (7:00 and 16:00) estrus. At the 24 hours after farrowing and weaning, litter size and weight were estimated.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHair cortisol\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe analysis of hair cortisol was conducted using the method described by Tajudeen et al (2022). Existing hair on the forehead was removed at the trial start and new hair was taken for analysis. The collected hair was put in the beaker and washed at least 3 times using isopropanol and dried at 35\u0026deg;C for three days until fully dried. After dried, the samples were placed in an EML plastic tube with a bead beater and steel pellets (tacoTMPrep, 50/60 Hz 2A, GeneReach, Taichung, Taiwan). Hair cortisol extracted by methanol was analyzed using ELISA kit (ADI-900-071, Enzo Life Sciences, Farmingdale, NY, USA) to examine the cortisol level in the hair sample of each sow.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eImmune status\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAt the end of lactation, immune status analysis was carried out for each sow. Blood was drawn out from the jugular vein and moved to vacutainer SST tubes. Samples were placed in a room temperature (25 ℃) and centrifuged at 2,500 \u0026times; g for 10 minutes. Tumor necrosis factor-\u0026alpha; (TNF-\u0026alpha;) (Cat # MBS2019932, MyBioSource, San Diego, CA, US), lipopolysaccharide (LPS), and lipopolysaccharide-binding protein (LBP) were measured using ELISA technology (Nanjing Jiancheng Bioengineering Institute, Nanjing, China).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAntioxidant status\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFor the antioxidant enzyme activity analysis, the description from the ELISA kit was used. Reactive oxygen species (ROS), hydrogen peroxide (H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e), total antioxidant capacity (TAC), superoxide dismutase (SOD), malondialdehyde (MDA), and catalase activity in the serum were assessed. The product of ROS, H2O2, TAC, SOD, MDA, and catalase were CAT#MBS2602780, CAT#MBS822356, CAT#MBS2548432, CAT#MBS9718960, CAT#MBS2801692, and CAT#MBS2540413 (MyBioSource, San Diego, CA, USA), respectively. For the detection of the absorbance, the microplate reader (Power Wave XS, BIoTeK, Winooski, VT, USA) was operated by the manual of each kit.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMilk composition\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFor the smooth sample collection, 1 ml of oxytocin (1 U/ml) was injected intravenously into each sow. At least 20 ml of samples were manually milked on 3, 10, and 20 days of lactation, respectively. To prevent contamination during sampling, all teats were cleaned with alcohol swabbing. Collected milk samples were put in the freezer and set at the temperature of \u0026minus;22 ℃. A milk analyzer (Milko Scan 133B Analyser; Foss Electric, Hiller\u0026oslash;d, Denmark) was used to evaluate fat, protein, lactose, total solid, and solid not fat content in the milk.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMineral status\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe mineral analysis in feed, milk, and feces were followed by the methodology of Chen et al. (2019) and Kim et al. (2022a). Firstly, feed and fecal samples were dried in the dryer oven at a temperature of 65 ℃ for 72 hours. Samples were ground and milled to a consistent particle size of 0.5 mm for the analysis. In the case of milk samples, freeze-dryer (Telstar model freeze dryer obtained from Fisher Scientific S.L., Madrid, Spain) with temperatures of -55 ℃ for 72 hours. Subsequently, samples of feed, milk, and feces were put in a glass tube with a 65% concentration of nitric acid and subjected to the microwave oven (Ultrawave model by Milestone Srl, Sorisole, Italy). All of the samples were analyzed using inductively coupled plasma-mass spectroscopy (ICP-MS; Agilent 7500 model, Santa Clara, CA)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data from this study was analyzed with a 2 \u0026times; 2 factorial arrangement of the completely randomized design. Individual sows were considered the experimental unit. To compare the effects of mineral supplementation in sow diets (STD vs ADV) and CF provision (- vs +) among treatments, statistical analysis was conducted using the general linear model procedure in the SAS program (SAS Inst., Inc., Cary, NC). The statistical model was as follows:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eYijk=\u0026mu;+Mi+Cj+(M\u0026times;C)ij+eijk\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003ewhere: \u003cem\u003eYijk\u003c/em\u003e = dependent variable (e.g., reproductive performance, stress level, immune status), \u003cem\u003e\u0026mu;\u0026nbsp;\u003c/em\u003e= overall mean, \u003cem\u003eMi\u003c/em\u003e = fixed effect of mineral level (\u003cem\u003ei\u003c/em\u003e=1,2; STD vs. ADV), \u003cem\u003eCj\u003c/em\u003e = fixed effect of creep feed provision (\u003cem\u003ej\u003c/em\u003e=1,2; -CF vs. +CF), \u003cem\u003e(M\u0026times;C)ij\u003c/em\u003e = interaction effect between mineral level and creep feed provision, \u003cem\u003eeijke\u003c/em\u003e = residual error.\u003c/p\u003e\n\u003cp\u003eIf the \u003cem\u003eP\u003c/em\u003e-value was lower than 0.05, each unit was regarded as statistically significant. The main effects of mineral level of lactation diet and CF provision and their interaction were examined.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eRectal temperature and respiratory rate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDuring the lactating period, RT was not significantly affected by dietary minerals and CF (Fig. 2). The CF-provided group showed significantly lower (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) RR on days 8, 10, 11, and 14 of lactation (Fig. 3). Except for days 8, 10, 11, and 14, there were no differences in RR among treatments.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSow reproductive performance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThroughout the experiment, sow BW was not affected at day 112 of gestation, 24 h postpartum, and weaning among all treatments. However, BW loss during lactation was reduced (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) when sows received the ADV level of mineral and CF provision (Table 3). There was no interaction effect between dietary mineral level and CF provision on BW loss. Sow BF was not affected during day 112 of gestation, 24 h postpartum, and weaning among whole treatments. Only BF loss during lactation showed a tendency to be reduced (\u003cem\u003eP\u003c/em\u003e = 0.063) when CF was provided to suckling piglets. The dietary mineral level did not affect BF loss during lactation. The ADFI during lactation, farrowing duration, and weaning to estrus interval were not affected by dietary mineral level and CF provision. During lactation, the number of total born, born alive, and weaned piglets were not affected by additional mineral supplementation and CF provision. Piglet survivability was significantly improved (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in the ADV and CF-provided group (Table 4). There was no difference in litter and piglet birth weight. At weaning, litter and piglet weights increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) when sows were fed high dietary mineral levels compared with the STD group. There were no interaction effects among the treatments.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHair cortisol and antioxidant status\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSows with CF provision showed reduced (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) hair cortisol compared to sows without CF provision (Fig. 4). The dietary mineral level did not affect hair cortisol levels in lactating sows in this study. The SOD significantly increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) (Fig. 5a) while MDA decreased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) (Fig. 5b) when lactating sow receive ADV or CF provision. However, catalase (Fig. 5c), ROS (Fig. 5d), H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e (Fig. 5e), and TAC (Fig. 5f) showed no differences between dietary minerals and CF provision.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInflammatory cytokine and endotoxin\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe ADV and CF-provided groups showed lower (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) TNF-α levels in serum (Table 5). However, LPS and LBP were not different in dietary mineral levels in lactating sow diet and CF provision.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMilk composition\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo differences were detected in sow milk fat, protein, lactose, total solid, and solid not fat level was not different across dietary mineral levels in lactating sow diet and CF provision (Table 6).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMilk and fecal mineral composition\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIncreased concentrations of Fe, Mn, and Se were observed in the milk of sows in the ADV group (P \u0026lt; 0.05). Similarly, fecal concentrations of Cu, Zn, Fe, Mn, and Se were higher (P \u0026lt; 0.05) in the ADV group sows (Table 7). However, the CF-provided group showed no difference in milk and fecal Cu, Zn, Fe, Mn, and Se concentrations.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eCurrently, one of the most critical issues in the livestock industry is the decrease in productivity due to global warming (Guo et al., 2018; McManus et al., 2023). The HS exposure during lactation is a major concern in the swine industry due to the negative impacts on reproductive performance (Cabezón et al., 2017; Chen et al., 2018; Bjerg et al., 2020). To mitigate this impact, sows continuously maintain homeostasis through physiological changes (Chasaeling et al., 2020; Oh et al., 2022). Due to the absence of sweat glands, RR and RT are key indicators of stress in pigs (Muns et al., 2016; Jeong et al., 2021; Kinara et al., 2023). Previous research has shown the relationship between HS and physiological differences in pigs under high temperatures (Xia et al., 2022; Oh et al., 2024; Santos et al., 2024). In our study, RR and RT gradually increased from parturition to weaning, indicating sows were under HS. Mineral supplementation showed no significant effects on RR and RT in our study, similar to findings by Andrade et al. (2024). Conversely, CF provision effectively reduced RR during lactation. Lactation increases stress levels in sows during the summer (Muns et al., 2016; Riveiro et al., 2018; Roelofs et al., 2019). The CF can reduce the number of suckling piglets nursing simultaneously, thereby mitigating stress (Yan et al., 2011). Furthermore, CF contributes to litter growth by providing additional nutrients with milk and eases nursing stress, which improves sows welfare (Sulabo et al., 2010; Middelkoop et al., 2019). To our knowledge, this is the first result demonstrating that CF provision can reduce RR under HS, suggesting further research is necessary.\u003c/p\u003e\n\u003cp\u003eDuring lactation, the demand for trace minerals increases to support growth and production performance (Mahan et al., 2009). These minerals help reduce BW loss, weaning to estrus interval (Bertechini et al., 2012; Ma et al., 2020) and can be transferred to piglets through milk or colostrum to increase growth and survivability (Sampath et al., 2023). However, in our study, additional mineral supplementation had no significant effects on sow BW, BF, ADFI, farrowing rate, and weaning to estrus interval. This may be because the additional mineral concentrations were insufficient to impact sow performance. Due to low utilization, 70% to 95% of minerals are excreted in feces (Ma et al., 2020). The only significant difference in this study was the reduction in BW loss. One study suggested that Cu helps weight gain by enhancing energy utilization in grower pigs (Espinosa et al., 2020). In our result, there might be increased energy utilization in sows helps BW recovery. Another reason may be related to the role of CF in reducing nursing stress in sows. The CF-provided group showed reduced BW and BF loss, with lower cortisol levels. Sows have to cover large litters when piglets nurse, and milk production induces metabolic heat, which can be stressful for sows under HS. Zhao and Kim (2020) reported that reducing nursing stress can improve milk production. Amdi et al (2017) reported that litter size and nursing stress do not relate to milking frequency, but other reports indicated heat production can increase cortisol levels and reduce ADFI and milk production (Hawe et al., 2020; Ramirez et al., 2022). Our result is that CF provides additional nutrient sources to piglets, decreasing the burden on the sow nursing stress.\u003c/p\u003e\n\u003cp\u003eNumerous studies suggested that dietary mineral levels higher than the NRC (2012) standard improved the growth and survivability of piglets (Payne et al., 2006; Buffler et al., 2017; Lu et al., 2018; Chen et al., 2019; Edmunds et al., 2022). Increasing dietary Cu levels linearly increased Cu concentration in milk, resulting a greater piglet growth (Lu et al., 2018). The piglet growth or litter size can be improved by supplementation of 200 mg/kg of Zn (Payne et al., 2006), 256 mg/kg of Fe (Buffler et al., 2017), or 40 mg/kg of Mn (Edmunds et al (2022), which were the doses higher than the recommended requirement in NRC (2012). Chen et al (2019) reported 6% higher preweaning survivability when fed more Se in a lactation diet under HS. However, Kim et al (2023) reported, no beneficial effects of additional trace minerals for gestation and lactation sows under normal conditions. Recent studies have rarely focused on the additional supplementation of trace minerals complex under HS conditions. Our result might be due to the individual mineral effects on piglet growth and survivability.\u003c/p\u003e\n\u003cp\u003eThe CF can be beneficial for modern sows with large litter sizes (Pluske et al., 2007). Earlier studies suggested that increased litter size leads to higher mortality due to lower birth weights (De Vos et al., 2013) and increased udder competition (Andersen et al., 2011). Kobek-Kjeldager et al. (2020) found that high litter size is linked to increased mortality and reduced weight gain during lactation; however, the provision of CF mitigated these negative effects. Moreover, the CF provision helps adopt solid-state feed and stimulates consumption after weaning, potentially boosting growth (Kuller et al., 2010; Blavi et al., 2021). Pluske et al (2007) reported that CF-consumed piglets had greater growth during suckling periods and after weaning. Sulabo et al (2010) reported that CF-provided piglets had more weight the day 21 of postweaning. Although no differences in piglet weight, previous reports, and this result indicate CF provision is a beneficial management method for both sows and piglets.\u003c/p\u003e\n\u003cp\u003eStress can alter pigs immune defense and antioxidant systems (Wang et al., 2023). Long-term stress activates the hypothalamic-pituitary-adrenocortical axis, triggering the release of corticotropin-releasing hormone, adrenocorticotropic hormone, and cortisol to regulate the balance between anabolism and catabolism (Kim et al., 2022b). Cortisol reflects chronic stress conditions such as HS (Pathak et al., 2018; Tajudeen et al., 2022; Ringseis and Eder, 2022). In animals, higher cortisol influences the homeostasis disruption like cytokine signaling (Cruz-Topete, and Cidlowski, 2014). CF provision effectively reduced cortisol levels, indicating that CF can alleviate nursing stress by providing an additional nutrient source for piglets, as mentioned in the sow and reproductive performance section. Yan et al (2011) reported that CF provision reduces the cortisol level of sows, by reducing the time and stimulus of suckling. Middelkoop et al (2020) reported that CF provision can moderate inactive behaviors and contact with sows. Nonetheless, as there is limited information on the effects of CF provision on cortisol levels in lactating sows under HS, further research is needed to clarify this impact.\u003c/p\u003e\n\u003cp\u003eOne of the harmful effects of HS is about decrease in feed intake, leading to nutrient deficiency, such as minerals. The requirement for trace minerals in animals can be influenced by their stress levels or physiological conditions. For lactating sows, milk production and recovery require additional nutrients and oxygen. During this process, peptide synthesis generates ROS, the main cause of oxidative stress. In addition, decreased blood flow in epithelial cells induces gut leakage (Patra and Kar, 2021; Xia et al., 2022). Increased gut permeability enhances the influx of substances from the gut into the bloodstream, potentially leading to heightened inflammatory responses due to endotoxin, such as LPS (Xia et al., 2018). The LPS generate ROS by stimulating oxidative activity in monocytes (Luo et al., 2019). Reduced absorption of essential minerals impairs the detoxification of these ROS by lowering cellular antioxidant capacity, which in turn can reduce the synthesis potential (Chen et al., 2019). Some studies reported intragastric administration of H₂O₂ modulates the intestinal toll-like receptor system and apoptosis, inducing oxidative stress (Hurst et al., 2017; Yin et al., 2017). However, trace minerals play critical roles in immune defense, additional supplement is suggested under HS. The Cu, Zn, and Se activate the antioxidant defense system (Liu et al., 2016). In our study, the ADV group showed lower TNF-α, MDA, and higher SOD levels. Although there was no difference in LPS level, the inflammation index was reduced. The Cu, Zn, and Mn attribute the production of SOD in epithelial cells (Sampath et al., 2023), they help reduce lipid peroxidation, as evidenced by decreased levels of MDA. Also, Se can be attributed to the antioxidative system, related to the Se-dependent glutathione peroxidase system (Dalto et al., 2015). Chen et al (2019) reported supplementation of Se in a sow diet can reduce MDA levels in plasma, by enhancing glutathione peroxidase. Zhang et al (2020) reported that the addition of Se can improve the antioxidation system and promote preweaning piglet performance. Our result agreed with previous studies. Also, excessive mineral content can lead to toxicity and antagonism with other trace minerals (Kim et al., 2023). No toxic reaction was detected in this study, meanwhile, the level of ADV can be suggested for reducing inflammation and increasing antioxidation enzyme production of sows under HS.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eOne notable result was that the CF-provided group showed similar inflammatory and antioxidation status compared with the ADV group. There was less variation in the ADV group, but a significant difference was observed between the groups with and without CF in the STD diet group. This result might be due to a reduction in cortisol levels, which suggests modifications in the sow's immune system (Middelkoop et al., 2020). Additionally, providing an alternative nutrient source reduced competition among piglets (Yan et al., 2011). Consequently, the pressure of milking and nursing stress was alleviated. While no previous study has directly examined the effects of CF provision on sows, these findings suggest that further detailed research is needed. This research could potentially offer an alternative solution for enhancing the immune and antioxidant status of lactating sows under HS.\u003c/p\u003e\n\u003cp\u003eAs the risks of HS have been emphasized, extensive research has been conducted on functional materials to mitigate these risks (Villagómez-Estrada et al., 2021). Among these, minerals added to feed generally, such as Se, have a significant effect on reducing HS. Also, minerals play critical in roles in growth, reproductive function, hormone regulation, and homeostasis (Kim et al., 2023). Dietary minerals consumed by sows can be transferred to piglets through milk. Consequently, numerous studies have investigated the positive effects of supplementing lactating sow feed with functional minerals, benefiting both the sows and their piglets (Ma et al., 2020; Chen et al., 2021). In our result, the excretion of minerals was increased in sows fed on the ADV diet. However, only Fe, Mn, and Se were transferred in higher levels into milk, not Cu and Zn. This result agrees with previous findings on mineral supplementation, and antagonism between Cu, Zn, and Fe (Hill et al., 2022; Kim et al., 2023). Cu and Zn, once absorbed in the gut epithelial cells, are primarily utilized to enhance gut barrier function and immune activation (Yin et al., 2021; Medida et al., 2023). Additionally, it is well known that many studies have reviewed the low absorption rates of trace minerals (Hansen et al., 2023). Given the mentioned characteristics of their metabolic mechanisms, Cu and Zn show no difference in their levels in milk. Successful transfer of other minerals supports piglet growth and survivability in this result.\u003c/p\u003e\n\u003cp\u003eAdditional supplementation of trace minerals could enhance immune status during HS. However, the consideration of their excretion is necessary. Nowadays, due to environmental pollution regulations related to manure disposal, the addition of these minerals to feed is increasingly being restricted. We designed the mineral content in the diet to not exceed the Korean legal limits. Our results suggest that favorable effects on HS can be observed even with the additional supplementation of Fe, Mn, and Se, excluding Cu and Zn. Although there were no interaction effects between dietary mineral levels and CF provision, CF can modify some of the mineral effects on sows under HS.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn this study, additional dietary minerals helped reduce BW loss, cortisol, and inflammation. Also, they enhance antioxidant enzyme production, thereby effectively decreasing MDA levels. The higher concentration of Fe, Mn, and Se in milk and improved piglet growth and survivability emphasize the higher levels of Fe, Mn, and Se for lactating sows in order to reduce stress and support litter growth during HS, even though the excretion of minerals increases. Moreover, CF provision can effectively reduce hair cortisol levels, RR, and TNF-\u0026alpha;, as well as an increase in the level of SOD, indicating reduced heat production and improved antioxidant status during lactation. Therefore, the provision of CF can help reduce stress in sows during the lactation period, alleviate the effects of HS, and improve the growth performance of piglets.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSang Hun Ha and Min Ju Kim conceptualized and designed the study; Jun Young Mun, Seon Ah Park and Sang Sik Lee curated the data; So Dam Choi and Priscilla Neves were in charge of the formal analysis; Sang Hun Ha, Tajudeen Habeeb Temitope conducted methodology; Jin Soo Kim supervised this paper; Abdolreza Hosseindoust validated this paper; Sang Hun Ha and Min Ju Kim drafted and revised the original manuscript; All of the authors have read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgment\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Authors of this project appreciate the support received “Cooperative Research Program for Agriculture Science and Technology Development” Rural Development Administration, Republic of Korea. (Grant No. PJ014796)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by Rural Development Administration, Republic of Korea.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompliance with ethical standards\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe animal care and experimental protocols used in this study received approval by the Institutional Animal Care and Use Committee of Kangwon National University (Ethical code: 221005-1).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflicts of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eData will be made available on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAmdi, C., Moustsen, V. A., Oxholm, L. 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Journal of Animal Science, 88:3145-3153. https://doi.org/10.2527/jas.2009-2131\u003c/li\u003e\n\u003cli\u003eTajudeen, H., Moturi, J., Hosseindoust, A., Ha, S. H., Mun, J. Y., Choi, Y. H., Sa, S. J. and Kim, J. S. 2022. Effects of various cooling methods and drinking water temperatures on reproductive performance and behavior in heat stressed sows. Journal of Animal Science and Technology, 64:782-791. https://doi.org/10.5187/jast.2022.e33\u003c/li\u003e\n\u003cli\u003eVillag\u0026oacute;mez-Estrada, S., P\u0026eacute;rez, J. F., van Kuijk, S., Melo-Dur\u0026aacute;n, D., Forouzandeh, A., Gonzalez-Sol\u0026egrave;, F., D\u0026rsquo;Angelo, M., P\u0026eacute;rez-Cano, F. J. and Sol\u0026agrave;-Oriol, D. 2021. Strategies of inorganic and organic trace mineral supplementation in gestating hyperprolific sow diets: effects on the offspring performance and fetal programming. Journal of Animal Science, 99:skab178. https://doi.org/10.1093/jas/skab178\u003c/li\u003e\n\u003cli\u003eWang, L., Wang, C., Peng, Y., Zhang, Y., Liu, Y., Liu, Y. and Yin, Y. 2023. Research progress on anti-stress nutrition strategies in swine. Animal Nutrition, 13:342-360. https://doi.org/10.1016/j.aninu.2023.03.006\u003c/li\u003e\n\u003cli\u003eXia, B., Meng, Q., Feng, X., Tang, X., Jia, A., Feng, J., Zhang, S. and Zhang, H. 2018. Probing the molecular regulation of lipopolysaccharide stress in piglet liver by comparative proteomics analysis. Electrophoresis, 39:2321-2331. https://doi.org/10.1002/elps.201700467\u003c/li\u003e\n\u003cli\u003eXia, B., Wu, W., Fang, W., Wen, X., Xie, J. and Zhang, H. 2022. Heat stress-induced mucosal barrier dysfunction is potentially associated with gut microbiota dysbiosis in pigs. Animal Nutrition, 8:289-299. https://doi.org/10.1016/j.aninu.2021.05.012\u003c/li\u003e\n\u003cli\u003eYan, L., Jang, H. D. and Kim, I. H. 2011. Effects of varying creep feed duration on pre-weaning and post-weaning performance and behavior of piglet and sow. Asian-Australasian Journal of Animal Sciences, 24:1601-1606. https://doi.org/10.5713/ajas.2011.11181\u003c/li\u003e\n\u003cli\u003eYin, J., Wu, M., Li, Y., Ren, W., Xiao, H., Chen, S., Li, C., Tan, B., Ni, H., Xiong, X., Zhang, Y., Huang, X., Fang, R., Li, T. and Yin, Y. 2017. Toxicity assessment of hydrogen peroxide on Toll-like receptor system, apoptosis, and mitochondrial respiration in piglets and IPEC-J2 cells. Oncotarget, 8:3124-3131. https://doi.org/10.18632/oncotarget.13844\u003c/li\u003e\n\u003cli\u003eYin, L., Yang, Q., Zhang, Y., Wan, D., Yin, Y., Wang, Q., Huang, J., Li, J., Yang, H. and Yin, Y. 2021. Dietary copper improves intestinal morphology via modulating intestinal stem cell activity in pigs. Animals, 11:2513. https://doi.org/10.3390/ani11092513\u003c/li\u003e\n\u003cli\u003eZhang, S., Wu, Z., Heng, J., Song, H., Tian, M., Chen, F. and Guan, W. 2020. Combined yeast culture and organic selenium supplementation during late gestation and lactation improve preweaning piglet performance by enhancing the antioxidant capacity and milk content in nutrient-restricted sows. Animal Nutrition, 6:160-167. https://doi.org/10.1016/j.aninu.2020.01.004\u003c/li\u003e\n\u003cli\u003eZhao, Y. and Kim, S. W. 2020. Oxidative stress status and reproductive performance of sows during gestation and lactation under different thermal environments. Asian-Australasian Journal of Animal Sciences, 33:722-731. https://doi.org/10.5713/ajas.19.0334\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 601px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1. Formula and chemical composition of experimental basal diets (as-fed basis)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eBasal lactation diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eIngredient (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eCorn\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e62.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eWheat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e5.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eSoybean meal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e22.22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eAnimal fat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e3.10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eMolasses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e3.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e\u003csub\u003eDL\u003c/sub\u003e-Methionine (98%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e\u003csub\u003eL\u003c/sub\u003e-Lysine (78.8%)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e\u003csub\u003eL\u003c/sub\u003e-Tryptophan (10%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e\u003csub\u003eL\u003c/sub\u003e-Threonine (98.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e\u003csub\u003eL\u003c/sub\u003e-Valine (98.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eCholine-chloride (50%)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eLimestone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eTri-Calcium phosphate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e2.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eSalt\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eVitamin premix\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eMineral premix\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003ePhytase\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e100.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 601px;\"\u003e\n \u003cp\u003eChemical composition (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eMetabolizable energy (Kcal/kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e3,300\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eCrude protein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e16.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eCalcium\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eAvailable Phosphorus\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eSID. Lys\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eSID. Met\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eSID. Met + Cys\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eSID. Trp\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 601px;\"\u003e\n \u003cp\u003e\u003csup\u003e1\u003c/sup\u003eSupplied /kg of vitamin premix: 12,000,000IU vitamin A, 2,400,000IU vitamin D3, 132,000IU vitamin E, 1,500mg vitamin K3, 3,000mg vitamin B1, 11,250mg vitamin B2, 3,000mg vitamin B6, 45mg vitamin B12, 36,000mg pantothenic acid, 30,000mg niacin, 600mg biotin, 4,000mg folic acid.\u003c/p\u003e\n \u003cp\u003e\u003csup\u003e2\u003c/sup\u003eSupplied /kg of mineral premix: 80,000mg Fe, 170mg Co, 8,500mg Cu, 25,000mg Mn, 95,000mg Zn, 140mg I, 150mg Se.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 601px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 2. The ingredients and calculated composition of creep feed\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 601px;\"\u003e\n \u003cp\u003eChemical composition (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eMetabolizable energy (Kcal/kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e3,400\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eCrude protein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e20.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003eCalcium\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003ePhosphorus\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 301px;\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"671\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" style=\"width: 671px;\"\u003e\n \u003cp\u003eTable 3. Effects of dietary mineral level (ML) and creep feeding (CF) on sow performance under high ambient temperature\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eML\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 113px;\"\u003e\n \u003cp\u003eSTD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 118px;\"\u003e\n \u003cp\u003eADV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 57px;\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 180px;\"\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 style=\"width: 185px;\"\u003e\n \u003cp\u003eCF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003eML\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003eCF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003eML\u0026times;CF\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eBW, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003ed 112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e236.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e243.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e239.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e247.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e11.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.689\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.367\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.965\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003e24 h postpartum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e214.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e224.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e217.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e227.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e11.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.767\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.223\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.964\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eWeaning\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e195.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e207.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e199.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e210.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e11.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.688\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.182\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.955\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eLoss during lactation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e18.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e17.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e17.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e16.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.779\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eBF, mm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003ed 112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e20.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e21.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e21.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e21.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.678\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.841\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.747\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003e24 h postpartum\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e18.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e17.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e17.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e17.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.731\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.401\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.513\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eWeaning\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e15.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e15.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e15.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e16.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.284\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.463\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.694\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eLoss during lactation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e2.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e1.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e1.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.063\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.207\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eADFI, kg/d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e5.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e5.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e5.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e5.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.539\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.593\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.329\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eFarrowing duration, h\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e4.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e4.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e4.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e4.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.827\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.480\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 185px;\"\u003e\n \u003cp\u003eWeaning to estrus interval, d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e4.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 56px;\"\u003e\n \u003cp\u003e4.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e4.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e4.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.935\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e0.719\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.473\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" style=\"width: 671px;\"\u003e\n \u003cp\u003e\u003csup\u003e1\u003c/sup\u003eSTD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively.\u003c/p\u003e\n \u003cp\u003eAbbreviation: SEM, standard error of means; BW, body weight; BF, backfat thickness; ADFI, average daily feed intake.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"624\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" style=\"width: 624px;\"\u003e\n \u003cp\u003eTable 4. Effects of dietary mineral level (ML) and creep feeding (CF) on litter performance under high ambient temperature\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eML\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 95px;\"\u003e\n \u003cp\u003eSTD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 95px;\"\u003e\n \u003cp\u003eADV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 46px;\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 189px;\"\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 style=\"width: 183px;\"\u003e\n \u003cp\u003eCF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003eML\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003eCF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003eML \u0026times; CF\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eLitter size, n\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eTotal born\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e14.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e13.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e14.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e14.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.647\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e0.948\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e0.647\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eBorn alive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e13.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e12.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e13.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e13.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.878\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e0.952\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e0.539\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eWeaned\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e11.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e11.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e11.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e12.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.332\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e0.229\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e0.790\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003ePiglet survivability, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e86.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e92.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e91.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e94.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e0.150\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eLitter weight, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eAt birth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e17.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e17.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e18.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.858\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e0.675\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e0.610\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eAt weaning\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e64.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e67.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e71.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e74.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e3.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e0.261\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e0.948\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003ePiglet weight, kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eAt birth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e1.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.937\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e0.513\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e0.833\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 183px;\"\u003e\n \u003cp\u003eAt weaning\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e5.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e5.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e6.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 48px;\"\u003e\n \u003cp\u003e5.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 66px;\"\u003e\n \u003cp\u003e0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 47px;\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e0.587\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" style=\"width: 624px;\"\u003e\n \u003cp\u003e\u003csup\u003e1\u003c/sup\u003eSTD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively.\u003c/p\u003e\n \u003cp\u003eAbbreviation: SEM, standard error of means.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"600\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" style=\"width: 600px;\"\u003e\n \u003cp\u003eTable 5. Effects of dietary mineral level (ML) and creep feeding (CF) on inflammatory cytokine and gut permeability index of sow under high ambient temperature\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 108px;\"\u003e\n \u003cp\u003eML\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 118px;\"\u003e\n \u003cp\u003eSTD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 116px;\"\u003e\n \u003cp\u003eADV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 52px;\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 189px;\"\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 style=\"width: 108px;\"\u003e\n \u003cp\u003eCF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003eML\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003eCF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003eML \u0026times; CF\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 108px;\"\u003e\n \u003cp\u003eTNF-\u0026alpha;, pg/ml\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e146.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e138.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e134.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e126.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 52px;\"\u003e\n \u003cp\u003e3.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e0.962\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 108px;\"\u003e\n \u003cp\u003eLPS, ng/ml\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e79.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e78.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e79.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e78.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 52px;\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003e0.489\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e0.158\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e0.775\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 108px;\"\u003e\n \u003cp\u003eLBP, ng/ml\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e26.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e26.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e26.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58px;\"\u003e\n \u003cp\u003e25.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 52px;\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003e0.865\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e0.311\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e0.895\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"10\" style=\"width: 600px;\"\u003e\n \u003cp\u003e\u003csup\u003e1\u003c/sup\u003eSTD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively.\u003c/p\u003e\n \u003cp\u003eAbbreviation: SEM, standard error of means; TNF-\u0026alpha;, tumor necrosis factor-\u0026alpha;; LPS, Lipopolysaccharide; LBP, lipopolysaccharide-binding protein.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"584\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"11\" style=\"width: 584px;\"\u003e\n \u003cp\u003eTable 6. Effects of dietary mineral level (ML) and creep feeding (CF) on milk composition of sow under high ambient temperature\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 112px;\"\u003e\n \u003cp\u003eML\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 102px;\"\u003e\n \u003cp\u003eSTD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 17px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 105px;\"\u003e\n \u003cp\u003eADV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 53px;\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" style=\"width: 194px;\"\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 style=\"width: 112px;\"\u003e\n \u003cp\u003eCF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 17px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003eML\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003eCF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 71px;\"\u003e\n \u003cp\u003eML \u0026times; CF\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"11\" style=\"width: 584px;\"\u003e\n \u003cp\u003eMilk composition, %\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 112px;\"\u003e\n \u003cp\u003eFat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e8.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e8.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 56px;\"\u003e\n \u003cp\u003e8.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e8.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.229\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.395\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 71px;\"\u003e\n \u003cp\u003e0.686\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 112px;\"\u003e\n \u003cp\u003eProtein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e5.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e5.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 56px;\"\u003e\n \u003cp\u003e5.66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e5.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.984\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.897\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 71px;\"\u003e\n \u003cp\u003e0.919\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 112px;\"\u003e\n \u003cp\u003eLactose\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e6.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e6.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 56px;\"\u003e\n \u003cp\u003e6.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e6.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.292\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.883\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 71px;\"\u003e\n \u003cp\u003e0.760\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 112px;\"\u003e\n \u003cp\u003eTotal solid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e19.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e19.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 56px;\"\u003e\n \u003cp\u003e19.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e19.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.765\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.653\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 71px;\"\u003e\n \u003cp\u003e0.728\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 112px;\"\u003e\n \u003cp\u003eSolid not fat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e12.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e11.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 16px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 56px;\"\u003e\n \u003cp\u003e12.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 51px;\"\u003e\n \u003cp\u003e11.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 53px;\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.778\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0.132\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 71px;\"\u003e\n \u003cp\u003e0.873\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"11\" style=\"width: 584px;\"\u003e\n \u003cp\u003e\u003csup\u003e1\u003c/sup\u003eSTD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively.\u003c/p\u003e\n \u003cp\u003eAbbreviation: SEM, standard error of means.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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Production","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Heat stress, Trace mineral, Creep feed, Lactating sow, Cortisol","lastPublishedDoi":"10.21203/rs.3.rs-5384757/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5384757/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study evaluated the interactive effect of mineral levels and creep feed provision (CF) on reproductive performance, stress level, and immune status of lactating sows during heat stress (HS). 2×2 factorial arrangement was assessed, involving two mineral levels (STD, the diet contains 20, 100, 80, 25, and 0.15 ppm of Cu, Zn, Fe, Mn, and Se, respectively; ADV, the diet contains 25, 150, 160, 50, and 0.30 ppm of Cu, Zn, Fe, Mn, and Se, respectively) with or without CF during HS. The CF group showed lower (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) respiratory rate on days 8, 10, 11, and 14. ADV and CF groups showed lower (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) body weight loss during lactation. A tendency for decreased (\u003cem\u003eP \u003c/em\u003e= 0.063) loss of back fat thickness in the CF group. ADV group shows higher (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) weaned piglet weight and survivability. CF group showed lower hair cortisol concentration (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) with higher (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) piglet survivability. ADV and CF groups showed lower (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) serum TNF-α level, also increased (\u003cem\u003eP\u003c/em\u003e\u0026lt; 0.05) superoxide dismutase and malondialdehyde levels. In milk, the level of Fe, Mn, and Se increased (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) in the ADV group. Also, feces excreted higher (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05) Zn, Fe, Mn, and Se. In conclusion, while both ADV and CF had beneficial effects, ADV posed a risk of increased mineral excretion. Given stricter regulations on dietary trace minerals, CF could be an effective strategy to enhance the performance of sows and piglets under HS.\u003c/p\u003e","manuscriptTitle":"Effects of dietary mineral level and creep feed provision on lactating sows during heat stress","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-03-26 04:19:19","doi":"10.21203/rs.3.rs-5384757/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Accept as is for publication","date":"2025-03-28T06:03:06+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-03-24T12:04:45+00:00","index":"","fulltext":""},{"type":"submitted","content":"Tropical Animal Health and Production","date":"2025-03-17T22:07:14+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"tropical-animal-health-and-production","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"trop","sideBox":"Learn more about [Tropical Animal Health and Production](https://www.springer.com/journal/11250)","snPcode":"11250","submissionUrl":"https://submission.nature.com/new-submission/11250/3","title":"Tropical Animal Health and Production","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"d6970b75-61d2-4a74-9d8f-8339d086067f","owner":[],"postedDate":"March 26th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-04-14T16:17:42+00:00","versionOfRecord":{"articleIdentity":"rs-5384757","link":"https://doi.org/10.1007/s11250-025-04411-w","journal":{"identity":"tropical-animal-health-and-production","isVorOnly":false,"title":"Tropical Animal Health and Production"},"publishedOn":"2025-04-09 16:05:22","publishedOnDateReadable":"April 9th, 2025"},"versionCreatedAt":"2025-03-26 04:19:19","video":"","vorDoi":"10.1007/s11250-025-04411-w","vorDoiUrl":"https://doi.org/10.1007/s11250-025-04411-w","workflowStages":[]},"version":"v1","identity":"rs-5384757","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5384757","identity":"rs-5384757","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}