Nutritional and Fungal Load Dynamics of Fresh Brewers’ Grain Stored Under Aerobic Conditions

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This study found that storing fresh brewers' spent grain at 15°C for up to six days prevented spoilage, while higher temperatures and longer durations led to nutrient degradation and fungal growth.

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Abstract

Abstract Brewers’ spent grain (BSG) is the amplest by-product of the brewing process. Fresh BSG is currently used as low-cost cattle feed due to its microbiological instability and high perishability. While recent research has looked the effects of storage time and temperature on the characteristics of wet brewers grains (WBG) as ruminant feeds. Three storage temperatures (15°C, 20°C, and 25°C) and periods (2, 4 and 6 days) were arranged in a 3×3 factorial design. Surface spoilage was not apparent at 15 °C throughout the storage periods. Deterioration was not also observed at 20 °C until the fourth day of storage where slight mold growth was apparent. Extensive mold growth was detected late in the sixth day at 20° C and continued manifestations up until the last day of storage at 25°C. Changes in major nutrients, DM losses, and yeast and mold colony count were significantly affected by the interaction of storage temperatures and durations (P<0.05). Except for samples stored at 15° C, nutrients contents decreased concomitantly (exceptions are ADF, lignin, and loss in DM) with prolonged storage times (p<0.05) and increasing temperatures (p<0.05). Contrast analysis indicated that it would be safe to store under aerobic storage conditions and feed the WBG for dairy cattle.
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Nutritional and Fungal Load Dynamics of Fresh Brewers’ Grain Stored Under Aerobic Conditions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Original article Nutritional and Fungal Load Dynamics of Fresh Brewers’ Grain Stored Under Aerobic Conditions Getu Kitaw Degefu, Mulisa Faji, Geberemariyam Terefe This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1021246/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 6 You are reading this latest preprint version Abstract Brewers’ spent grain (BSG) is the amplest by-product of the brewing process. Fresh BSG is currently used as low-cost cattle feed due to its microbiological instability and high perishability. While recent research has looked the effects of storage time and temperature on the characteristics of wet brewers grains (WBG) as ruminant feeds. Three storage temperatures (15°C, 20°C, and 25°C) and periods (2, 4 and 6 days) were arranged in a 3×3 factorial design. Surface spoilage was not apparent at 15 °C throughout the storage periods. Deterioration was not also observed at 20 °C until the fourth day of storage where slight mold growth was apparent. Extensive mold growth was detected late in the sixth day at 20° C and continued manifestations up until the last day of storage at 25°C. Changes in major nutrients, DM losses, and yeast and mold colony count were significantly affected by the interaction of storage temperatures and durations (P<0.05). Except for samples stored at 15° C, nutrients contents decreased concomitantly (exceptions are ADF, lignin, and loss in DM) with prolonged storage times (p<0.05) and increasing temperatures (p<0.05). Contrast analysis indicated that it would be safe to store under aerobic storage conditions and feed the WBG for dairy cattle. General Biochemistry Molecular Biology Aerobic fungal storage durations temperature brewers’ grain Key Points: The yeast and mold count increased with increasing storage times and temperatures It is safe to feed WBG to dairy an animal that is stored for less than 6 and 2 days at 15 and 20°C, respectively. Introduction Recycling and exploitation of brewing residues, such as brewers' spent grain (BSG), are critical goals for lowering energy consumption and residue disposal costs, as well as lowering the associated carbon footprint (Zupani et al. 2017). The most common by-product of the brewing process is BSG (i.e., 85 percent of total by-products). From 100 kg of malt, 100 to 130 kg of fresh BSG (humidity, 70–80 percent) are obtained, equating to 21 to 22 kg BSG per hectoliter of beer brewed (Kunze 2004 ). According to Kaur ( 2004 ), for every 100 kg of barley used in brewing, 170 kg of wet brewers' grains (WBG) are produced. BSG production has averaged 39 million tons per year around the world (Birsan et al. 2019 ). BSG's chemical composition varies depending on barley cultivar, malting process, and brewing cereal quality and formulation (Gupta et al. 2010; Santos et al. 2003 ). BSGs, on the other hand, are high in dietary fiber, protein, and essential amino acids, as well as minerals, polyphenols, vitamins, and lipids (Fărcaş et al. 2014). WBG-fed dairy cows perform better than those fed dried brewers grains (Dhiman et al., 2003 ). Many dairy farms have chosen WBG as a cost-cutting measure. In a high humidity environment, especially at high temperatures, the storage time for WBG is typically short (Nofsinger et al., 1983 ). BSG is susceptible to microbial deterioration over a short period of time (i.e. 2 to 7 days) due to its high polysaccharide, protein, and moisture content (Wang et al. 2014 ; Gupta et al. 2013). Improper WBG storage causes a significant loss of DM and nutrients, as well as an unpleasant odor. It also encourages mold to produce mycotoxins, including aflatoxins (Asurmendi et al., 2013 ) and ochratoxin A (Amézqueta et al., 2009 ). Currently, the most efficient way to exploit BSG is to sell it as livestock feed to local farmers. Breweries' long-term sustainability and environmental impact are jeopardized, however, because BSG production frequently exceeds demand for local feed (Mussatto 2014). Temperature greatly varies throughout the dry and wet seasons poses as one of the most important environmental factors (Cohen, 1985 ) that impact nutrient loss during storage. In the search for new ways to exploit BSG in foods and animal feed, as well as the pharmaceutical and cosmetic industries, research into new conservation systems, new uses, and enhancement technologies, as well as a better understanding of the use of microorganisms as biocatalysts, is critical. However, little is known about the nutrient changes in WBG stored at different temperatures and for different lengths of time. The objective of this experiment, therefore, was to evaluate the effects of storage duration and temperature on the chemical composition, in-vitro digestibility, and fungal load dynamics and recommend optimum storage duration under aerobic storage conditions for livestock producers located under varying geographical and climatic conditions in the country. Materials And Methods Experimental locations, sampling procedures and measurements The study was conducted on-station at Holetta Agricultural Research Center (HARC), Animal Nutrition and Dairy Microbiology Laboratories. It was aimed at developing optimum storage duration for fresh brewers’ spent grain conserved aerobically using different storage conditions. Accordingly, the effect of aerobic storage conditions on brewer’s grain nutritional and fungal load dynamics was studied by considering three storage temperatures (15, 20 and 25 O C) and three storage duration (2, 4, and 6 days). Fresh brewery grain sample was obtained from a nearby Meta Abo brewery (40 km) for timely transportation of the samples to HARC Animal Nutrition Laboratory. Twenty-five kilograms of sample of WBG was collected using an ice box and stored in the lab using a deep freezer set at temperature of -20 0 C until the day the sample was ready for the next laboratory work. After thawing the frozen WBG, some 500 g of the sample was placed in pre-weighed sterile plastic beakers (500 ml capacity). All beakers were covered with 3 layers of cheesecloth to prevent rapid vaporization of moisture while retaining aerobic conditions in the beakers. Each WBG treatment was stored in a thermostatic incubator in five replications using the three storage temperatures and three storage times listed above. A panel of three discussants assessed samples that had been exposed to air during storage based on color, texture, odor, and the extent of mold cover. The panel's rating was converted to a numerical scale of 0 to 5, with 0 denoting no visible spoilage, l denoting minor mold growth, 2 denoting mold growth + discoloration, 3 denoting mold growth, discoloration, and surface collapse, 4 denoting mold growth, discoloration, and surface collapse + slight odor, and 5 denoting mold growth, discoloration, and surface collapse + offensive odor (Allen and Stevenson, 1975). Initial and final weights of the beakers containing the samples were recorded to determine the DM loss taken at each incubation temperatures and storage durations. About 100 g of these samples on DM basis were subjected to freeze-drying for subsequent feed chemical composition (DM, ash, CP, NDF, ADF, permanganate lignin, DOMD) and growing molds and yeast colony count. The temperature regime and relative humidity condition (RH = 70%) used in this experiment were designed to roughly represent average daily temperatures and relative humidity conditions prevailing across the country where the WBG beneficiaries are located. The storage durations used in the present trial were also within the range of safe aerobic storage durations (2-7 day) recommended for fresh WBG under warm and cool tropical temperature conditions (Amaral-Philips and Hemken, 2002; Thomas et al ., 2010). The temperature and average relative humidity were controlled by allowing ±1°C and 1% fluctuation from the set temperature and relative humidity for all the incubations. Laboratory analysis Brewers’ spent grain samples from different storage temperatures and duration were dried in a forced ventilation oven (55 °C for 72 h) and ground to pass through 1 and 2-mill Cyclotec sample mill screen (Tecator 1093, Tecator AB, Hoganas, Sweden). All samples were analyzed for DM, total ash, and crude protein (CP) using the procedure of AOAC (1990). Neutral detergent fiber (NDF), acid detergent fiber (ADF), and saturated potassium permanganate lignin were determined by the procedures of Van Soest and Robertson (1985). Tilley and Terry's (1963) two-stage in-vitro digestibility technique was employed to analyze and calculate the digestible organic matter in the dry matter of the samples. Metabolizable energy (ME) was estimated from the in-vitro organic matter in the dry matter digestibility (DOMD) as EME (MJ/kg) =0.16 x DOMD (McDonald et al., 2002). Dry matter losses were calculated as a difference of DM for the fresh (control) WBG sample and the same samples that were subjected to aerobic and anaerobic storage treatments. Yeasts and molds were direct plates counted by pour plating of 25g ground dried brewers’ grain samples dissolved in 225 ml of peptone water onto Potato Dextrose agar medium injected with 1ppm per 100 ml of agar with chloramphenicol and streptomycin to restrict bacterial growth (FAO, 1997). Plates were incubated aerobically at 28±1°C for 3 days and growing molds and yeast colonies were directly counted (MoH, 2010). Statistical analyses The model for lab experiment one was Y ijk = m + C i +L j + CL ij + e ijk,; Where;m = Overall mean; Ci= Effect of storage temperature; L j = Effect of storage duration; CLij = Interaction effect; e ijk = Random error. To compare the extent of feed quality deteriorations between the control/fresh and WBG samples that were conserved using aerobic and anaerobic storage techniques, orthogonal contrast analysis has been used. All data were subjected to analysis of variance using the general linear model (GLM) procedures of Statistical Analysis System, version 9.3 (SAS, 2014). Mean separations were made using Least Significant Differences (LSD) analysis at P≤ 0.05. Results Surface spoilage of fresh brewers’ grain stored under aerobic conditions The extent of spoilage occurrence on the surface of the WBG stored aerobically under various storage temperature and duration conditions are presented in Table 1 . When the WBG was stored at 15°C no visible spoilage was observed up to the sixth day of storage. Deterioration was not also observed at 20°C until the fourth day of storage where slight mold growth was apparent. Extensive mold growth was detected late in the sixth day at 20° C and continued manifestations up until the last day of storage at 25°C. Severe spoilage which was characterized by the worst spoilage rating of 5 was not observed at any given storage temperature and duration, although more deterioration was observed at 25°C as storage duration increased. Table 1 Surface spoilage ratings of fresh brewer’s grain stored at different storage temperatures and durations (relative humidity= 70%) Storage temperatures ( o C) Storage durations (days) 2 4 6 15 0 0 0 20 0 1 2 25 2 3 4 Ratings: 0 = No visible spoilage; l = Slight mold growth; 2 = Mold growth + discoloration; 3 = Mold growth + discoloration + surface collapse; 4 = Mold growth + discoloration + surface collapse + slight odor; 5 = Mold growth + deterioration + surface collapse + offensive odor Chemical composition and IVDOMD of brewer’s grain stored under aerobic conditions Changes in the nutritional composition of all parameters measured and DM loss of WBG were significantly affected by the interaction of storage temperatures and durations (Table 2 ). At a temperature of 15°C, storage duration did not have an effect on all parameters measured (P > 0.05). At temperatures of 20 and 25°C, the DM, CP, NDF, in vitro digestibility decreased, while the ash, ADF, lignin and dry matter loss increased with increasing storage duration (P < 0.05). A similar trend of decreasing DM, CP, NDF, in vitro digestibility content, and increasing ash, ADF, lignin, and dry matter loss was observed with an increase in storage temperature. Table 2 Effects of storage duration (days) and temperature (°C) on chemical composition, DOMD and dry matter loss of brewer’s grain (RH=70%) SD ST Chemical composition (g/kg for DM; g/kg DM for others and % for DML) DM Ash CP NDF ADF Lignin IVDOMD DML 2 15 242 a 45 d 264 a 629 a 253 g 67 e 698 a 0.1 d 4 15 241 a 46 d 263 a 629 a 253 g 68 e 697 a 0.4 d 6 15 240 a 47 d 261 a 628 a 254 g 68 e 694 ab 0.9 d 2 20 240 a 47 d 261 a 627 a 270 f 72 e 687 b 1.1 d 4 20 218 b 62 c 232 b 600 b 314 d 89 d 630 d 10.1 c 6 20 201 c 71 b 212 c 588 c 333 c 96 bc 581 e 17.2 b 2 25 223 b 61 c 236 b 576 d 301 e 91 cd 659 c 8.0 c 4 25 191 d 75 b 197 d 567 ed 346 b 98 ab 630 d 21.3 a 6 25 185 d 83 a 181 e 558 e 357 a 102 a 581 e 23.7 a SEM 0.5 0.4 0.6 0.9 0.7 0.5 0.7 0.51 SD= Storage date; ST= Storage temperature ; a−g Means within a column with different superscripts differ (P<0.05); DM= Dry matter; CP=Crude protein; NDF=Neutral detergent fiber; ADF= Acid detergent fiber; IVDOMD=in-vitro digestible organic matter in the dry matter; DML=Dry matter loss; SEM =standard error of the mean The lower CP content was recorded from the BSG stored for 6 days at 25 0C temperature. While lower DM, NDF, and IVDOMD were observed for BSG stored for 6 days at 25 0C temperature. The higher lignin and ADF content were recorded for the BSG stored 6 days at 25 0C temperature. The dry matter loss of BSG was higher at 25 0C temperature with 6 days storage duration. Orthogonal contrast comparing the fresh WBG with those stored at combinations of three temperatures and storage durations is shown in Table 3 . The chemical composition and digestibility values for the three durations at temperature 15°C were similar to the fresh WBG (P > 0.05). Storage of WBG at 20°C and for 2 days resulted in a significant reduction in digestibility and increase the ADF and lignin content (P < 0.05) as compared to the fresh WBG, while other values were similar between the two treatments. Storage at 20°C and for durations of 4 and 6 days and at 25°C and all storage duration used in this study resulted in a significant effect on all measured chemical composition values and on in vitro digestibility of OM, whereby the DM, CP, NDF and in vitro digestibility values were reduced while other values were increased after storage compared to the fresh WBG samples (P < 0.05). Table 3 Contrast analysis for fresh brewer’s grain (T1) versus brewer’s grain stored at different storage temperatures (°C) and durations (days) (T2 to T10 (RH=70%) SD ST T Contrast Chemical composition (g/kg for DM and g/kg DM for others) DM Ash CP NDF ADF Lignin DOMD T1 242 46 265 630 252 66 699 2 15 T2 T1-T2 0.2 0.4 1.0 0.5 -0.9 -0.8 1.2 4 15 T3 T1-T3 1.1 -0.2 1.8 0.7 -0.5 -1.8 2.0 6 15 T4 T1-T4 2.1 -0.8 3.3 1.2 -1.7 -2.2 4.8 2 20 T5 T1-T5 2.6 -1.4 4.2 2.4 -18.4* -5.7* 11.8* 4 20 T6 T1-T6 24.4* -16.8* 32.9* 29.9* -61.8* -22.7* 69.7* 6 20 T7 T1-T7 41.6* -24.8* 53.2* 41.2* -80.8* -29.5* 118* 2 25 T8 T1-T8 19.2* -14.8* 28.9* 53.9* -48.4* -24.7* 40.5* 4 25 T9 T1-T9 51.6* -28.8* 68.1* 62.1* -94.0* -31.8* 69.7* 6 25 T10 T1-T10 57.4* -37.0* 83.8* 71.3* -105* -36.1* 118* SD= Storage date (days); ST= Storage temperature ( 0 C); *Contrast is significant (P < 0.05); T = Treatment; DM=Dry matter; CP=Crude protein; NDF=Neutral detergent fiber; ADF=Acid detergent fiber; DOMD=Digestible organic matter in the dry matter; values for T1 are means and other values are mean differences between T1 and the respective treatments Fungal load dynamics of brewer’s grain stored under aerobic conditions Counts of yeast and mold for WBG samples stored at three temperatures and three durations were significantly affected (P 0.05) for the three storage durations. At 20°C, the mold count was unaffected by storage duration (P > 0.05), while the yeast count was higher for 6 than 2 days of storage. Conversely, at 25°C yeast count was similar for the three storage durations while the mold count was higher for 6 than other storage days. It generally appears that yeast and the mod count is lower for 15°C than the other storage temperatures. Table 4 Effects of storage duration (days) and temperature ( O C) on yeast and mold counts of brewer’s grain (RH =70%) Storage durations Storage temperatures Fungal count (log10 CFU/g of WBG) Yeast Mold 2 15 4.8 e 4.8 d 4 15 5.5 de 5.0 d 6 15 5.7 cde 5.3 cd 2 20 6.5 bcd 5.6 bc 4 20 7.2 ab 5.7 bc 6 20 7.7 a 6.1 ab 2 25 7.2 ab 5.7 bc 4 25 6.5 bcd 5.7 bc 6 25 6.8 abc 6.6 a SEM 0.27 0.09 WBG=Brewery spent grain; cfu= Coli form forming unit; SEM= SEM =standard error of the mean; a−g Means with in a column with different superscripts differ (p<0.05) Orthogonal contrast of the fresh WBG with those stored at different combinations of temperatures and storage durations indicated that yeast count significantly increased at all combinations of temperature and storage durations except for WBG stored at 15 O C for two days (Table 5 ). On the other hand, mold count was not significantly affected for the three storage durations as 15 O C and for 2 days storage duration at 20 O C compared to the fresh WBG (P >0.05), while the other temperature storage duration combinations significantly increased the mold count compared to the fresh WBG ( P 0.05) in yeast and mold colony counts between the fresh and the stored WBG samples during the early hours of storage and low incubation temperatures. Table 5 Contrast analysis of yeast and mold counts of fresh brewer’s grain (T1) versus brewer’s grain stored at different storage temperatures (°C) and durations (days) (T2 to T10 (RH =70%) SD ST T Contrast Fungal counts (log10 cfu/g WBG) Yeast Mold T1 4.24 4.08 2 15 T2 T1-T2 -0.53 -0.75 4 15 T3 T1-T3 -1.23* -0.88 6 15 T4 T1-T4 -1.48* -1.26 2 20 T5 T1-T5 -2.22* -1.55 4 20 T6 T1-T6 -2.95* -1.62* 6 20 T7 T1-T7 -3.45* -1.99* 2 25 T8 T1-T8 -2.98* -1.63* 4 25 T9 T1-T9 -2.25* -1.60* 6 25 T10 T1-T10 -2.54* -2.50* SD= Storage date (days); ST= Storage temperature ( 0 C); *Contrast is significant (P < 0.05); T = Treatment; WBG= Brewery spent grain; cfu= Coliform forming unit; values for T1 are means and other values are mean differences between T1 and the respective treatments Discussion A higher level of air exposure (longer storage duration) and higher storage temperature in the present study were the two most important features that characteristically contributed to aerobic changes of WBG under storage. McDonald et al. ( 1991 ) noted that deteriorations in air-exposed silage were majorly manifested by an elevation in temperature, a change in the odor, and the appearance of mold. The WBG stored under aerobic conditions for two days at temperatures below 20 0 C showed visible changes, including an unpleasant odor, surface cracking, and color changes, which could have been caused by the rapid proliferation of yeast and molds, resulting in large nutrient losses in the fresh brewery grain sample used in this study.. Feeding such spoiled material might be a risk to the health of the animals and humans through carryover effects due to the likely production of mycotoxins such as aflatoxins (Asurmendi et al., 2013 ; Souza et al., 2012 ). The aerobic deterioration of WBG stored at high temperature and longer durations observed in the present study could be major factors responsible for high losses in nutritional components and reduction in DM digestibility. Hao et al ( 2015 ) reported reduced IVDMD and DM loss with the extended exposure time, which is consistent with the current finding. In a related study conducted with distillers’ grain stored in air-exposed bunker silos (Baskett et al., 2009 ) storage DM loss of 9.6% was reported. Marston et al. ( 2009 ) also observed a sharp drop in DM by 37.7% for uncovered, aerobically stored fresh WBG, with the larger DM loss appeared to have been associated with the longer storage periods. The incremental changes in ash with storage period and temperature over the control WBG have also been noted earlier by Marston et al. ( 2009 ), which could be associated with the loss in organic matter that proportionally increased the ash content. As opposed to an earlier finding by Wang et al. ( 2014 ), a markedly higher reduction in CP value relative to the control WBG was observed in this study, which could be attributed to ammonia losses from proteolysis by increased mold and yeast populations during aerobic fermentation and subsequent ventilation (Zopolatto et al., 2009 ). ADF was generally increasing consistently while NDF was on the opposite trend as storage periods and temperatures were advancing beyond 15 oC, indicating that the DM loss from the current trial was partly derived from the fresh WBG hemicellulose contents. This finding agrees with the report by Marston et al. ( 2009 ) but was in contrast with the findings of Turner et al. ( 2002 ), who observed that all of the cell wall components constantly increased during the entire storage period and temperature conditions. The variation could be explained by the existence of more easily degradable hemicellulose in WBG in the current study than in the forages that the researchers used. The increased ADF and lignin contents during aerobic storage can be justified by the relative decrease in the other cell contents (Santos et al., 2010 ). The growth of microorganisms was unaffected by storage duration at a storage temperature of 15°C. At higher temperatures of 20°C and 25°C, the effect was seen at 2 days of storage. In the studies of Wang et al. ( 2014 ) and Coskuntuna et al. ( 2010 ), WBG samples that were exposed to 20 to 30°C temperature deteriorated more than those exposed to >30°C. According to Higgins and Brinkhaus ( 1999 ), this phenomenon is most likely caused by the sigmoid growth nature of both microorganisms and their mycotoxins production in stored WBG. Mycotoxins and secondary metabolites produced by fungi are extremely harmful to both human and animal health (CAST, 2003 ). The extensive aerobic deterioration that led to the higher DM/OM losses with higher storage temperatures and storage durations in the present study might have been triggered by the large numbers of yeasts and molds proliferated as a result of residual water-soluble carbohydrates in the fresh WBG (Wang et al. ( 2014 ). Furthermore, the early plateau observed at 20°C in the current trial could be due to the WBG samples' inherently high moisture content (Ashbell et al., 2002 ). Except for control and WBG samples stored in the early phases (2 days) for yeast and (6 days) for mold at a lower temperature (15°C), both yeast and mold colony counts for the remaining WBG samples exceed the limit >5.00 log CFU/g DM, which according to GMP, (2008) and Dairy One ( 2017 ) is a sign for aerobic instability in stored feeds. There are limited studies of the effect of temperature and storage duration on the feed nutritional quality of WBG. On the basis of major feed and microbial quality data generated from the current study, it would be possible to advise dairy producers and recommend optimum storage durations under aerobic conditions for fresh WBG stored under varying environmental storage temperature conditions. Accordingly, taking the control as a benchmark, it would be safe to store under aerobic storage conditions and feed the WBG for dairy cattle provided that it is stored for less than 6 and 2 days at 15 and 20°C, respectively. In an attempt to determine optimum storage durations for fresh WBG samples stored under varying aerobic storage duration and temperature conditions, it would be safe to store and feed fresh WBG under local conditions provided that it is stored for less than 6 and 2 days at 15°C and 20°C, respectively (P < 0.05) without being exposed to aerobic deteriorations. To ensure efficient utilization of available WBG for dairy cattle under local conditions, further research engagements are required in the years to come. Accordingly, future research planning with WBG shall consider additional storage durations and temperatures, humidity conditions and biochemical test in a way that it precludes mycosis and further deteriorations in feed quality of WBG stored under aerobic storage conditions. Declarations Ethics approval and consent to participate Not applicable. Consent for publication Not applicable Data availability The datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request. Competing interests The authors declare that they have no competing interests Funding The study was a PhD dissertation and the partial funds for this study were granted by the Ethiopian Institute of Agricultural Research. Author contribution GK, MF, and GT conceived and designed research. 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Beijing, China. 7p Mussatto SI, Fernandes M, Mancilha IM, and Roberto I. C (2008) Effects of medium supplementation and pH control on lactic acid production from brewer’s spent grain. Biochem Eng 40(3):437–444 Nofsinger GW, VanCauwenberge JE, Bothast RJ, Kwolek WF (1983) An Evaluation of chemical methods to extend the allowable storage time of wet distillers’ grains. J Agric Food Chem 31:276–279 Santos M, Jimenez JJ, Bartolome B, Gomez-Cordoves C, del Nozal MJ (2003) Variability of brewers’ spent grain within a brewery. Food Chem 80:17–21 Santos MB, Nader GA, Robinson PH, Kiran D, Krishnamoorthy U, Gomes MJ (2010) Impact of simulated field drying on in-vitro gas production and voluntary dry matter intake of rice straw. Anim Feed Sci Technol 159:96–104 SAS (2014) Statistical Analysis System. SAS User’s Guide: Statistics, Version 9.3. SAS Inst. Inc., Cary, NC de Souza LC, Zambom MA, Gundt S (2012) Development of microorganisms during storage of wet brewery waste under aerobic and anaerobic conditions. J. R. Bras. Zootec ., 41 (1). 6p Thomas M, Hersom M, Thrift T, Yelich J (2010) Wet Brewers' Grains for Beef Cattle. Univ. Florida, IFAS Extension, p 3 Tilley JMA, Terry RA (1963) A two-stage technique for in vitro digestion of forage crops. J British Grassland Society 18:104 Turner JE, Coblentz WK, Scarbrough DA, Coffey KP, Kellogg DW, Levi JM, Robert TR (2002) Changes in nutritive value of Bermuda grass hay during storage. Agron J 94:109–117 Van Soest PJ, Robertson JB (1985) Analysis of Forage and Fibrous Foods. A Laboratory Manual for Animal Science 613 Cornell University, Ithaca, New York, USA. 202p Wang B, Luo Y, Myung KH, Liu JX (2014) Effects of storage duration and temperature on the chemical composition, microorganism density, and in vitro rumen fermentation of wet brewers grains. Asian-Australasian J Anim Sci 27(6):832–840 Zopolatto M, Daniel JLP, Nussio LG (2009) Aditivos microbiológicos em silagens no Brasil: revisão dos aspectos da ensilageme do desempenho de animais.R Bras. Zootec . 38 : 170–189 Zupančič GD, Panjičko M, Zelić B (2017) Biogas production from brewer’s yeast using an anaerobic sequencing batch reactor. Food Technol Biotechnol 55(2):187–196 Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 03 Dec, 2021 Reviewers invited by journal 01 Nov, 2021 Editor assigned by journal 28 Oct, 2021 Editor invited by journal 27 Oct, 2021 Submission checks completed at journal 27 Oct, 2021 First submitted to journal 26 Oct, 2021 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-1021246","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Original article","associatedPublications":[],"authors":[{"id":59571325,"identity":"0792dc36-6a70-408a-8c0d-af4a4079feed","order_by":0,"name":"Getu Kitaw Degefu","email":"","orcid":"","institution":"Ethiopian Agricultural Research Organization","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Getu","middleName":"Kitaw","lastName":"Degefu","suffix":""},{"id":59571326,"identity":"7e01f418-dd35-4682-8fa4-7f21acd4a0d5","order_by":1,"name":"Mulisa Faji","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABFElEQVRIie3PsUrDQBjA8U+ETilZrwSSJyh8IdAp9DGcLwSSpYWODiJ3FBydAxl8BYvgfOeBXXyAgg7touu5SAaRXtOMenEUvD9Hjju+H0cAXK4/2SkT5usDSL6lmIaHO7G1kpOWjBjIJepFkbSE9hA4EhiMKv2QtUcbGVcZl80FEJ8rFngoypsztTOvTMMx+55MNhlT3iMQIiRLPHyZr54LNCRPJsJCYACXYEju4et8VdMDEdm9hcjmC0hkiPJQlXFd6l4ihldAUEjOK1Q0CmY9rzztmBpeExILuQSNRXwbzBaCouVf1rl6bz5SEm7Wbw39TKOoLu+0Pp+GP5EuYlY3ge2O1vEunx33iP1m2uVyuf5TexB7cVNj1yBHAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-2606-1763","institution":"Ethiopian Institute of Agricultural Research","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Mulisa","middleName":"","lastName":"Faji","suffix":""},{"id":59571327,"identity":"5279f470-ec89-4f10-946e-d4d80861195b","order_by":2,"name":"Geberemariyam Terefe","email":"","orcid":"","institution":"Ethiopian Agricultural Research Organization","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Geberemariyam","middleName":"","lastName":"Terefe","suffix":""}],"badges":[],"createdAt":"2021-10-26 17:27:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1021246/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1021246/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":15031033,"identity":"241a4863-08cb-4d05-b67b-de1e634ff73b","added_by":"auto","created_at":"2021-10-29 15:21:30","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":404376,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1021246/v1/c24a6af6-ac69-42e7-921b-9e733c0aa64c.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eNutritional and Fungal Load Dynamics of Fresh Brewers’ Grain Stored Under Aerobic Conditions\u003c/p\u003e","fulltext":[{"header":"Key Points:","content":"\u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eThe yeast and mold count increased with increasing storage times and temperatures\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eIt is safe to feed WBG to dairy an animal that is stored for less than 6 and 2 days at 15 and 20\u0026deg;C, respectively.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e"},{"header":"Introduction","content":"\u003cp\u003eRecycling and exploitation of brewing residues, such as brewers' spent grain (BSG), are critical goals for lowering energy consumption and residue disposal costs, as well as lowering the associated carbon footprint (Zupani et al. 2017). The most common by-product of the brewing process is BSG (i.e., 85 percent of total by-products). From 100 kg of malt, 100 to 130 kg of fresh BSG (humidity, 70\u0026ndash;80 percent) are obtained, equating to 21 to 22 kg BSG per hectoliter of beer brewed (Kunze \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2004\u003c/span\u003e). According to Kaur (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2004\u003c/span\u003e), for every 100 kg of barley used in brewing, 170 kg of wet brewers' grains (WBG) are produced. BSG production has averaged 39 million tons per year around the world (Birsan et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eBSG's chemical composition varies depending on barley cultivar, malting process, and brewing cereal quality and formulation (Gupta et al. 2010; Santos et al. \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). BSGs, on the other hand, are high in dietary fiber, protein, and essential amino acids, as well as minerals, polyphenols, vitamins, and lipids (Fărcaş et al. 2014). WBG-fed dairy cows perform better than those fed dried brewers grains (Dhiman et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). Many dairy farms have chosen WBG as a cost-cutting measure. In a high humidity environment, especially at high temperatures, the storage time for WBG is typically short (Nofsinger et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e1983\u003c/span\u003e). BSG is susceptible to microbial deterioration over a short period of time (i.e. 2 to 7 days) due to its high polysaccharide, protein, and moisture content (Wang et al. \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Gupta et al. 2013). Improper WBG storage causes a significant loss of DM and nutrients, as well as an unpleasant odor. It also encourages mold to produce mycotoxins, including aflatoxins (Asurmendi et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2013\u003c/span\u003e) and ochratoxin A (Am\u0026eacute;zqueta et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2009\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eCurrently, the most efficient way to exploit BSG is to sell it as livestock feed to local farmers. Breweries' long-term sustainability and environmental impact are jeopardized, however, because BSG production frequently exceeds demand for local feed (Mussatto 2014). Temperature greatly varies throughout the dry and wet seasons poses as one of the most important environmental factors (Cohen, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e1985\u003c/span\u003e) that impact nutrient loss during storage. In the search for new ways to exploit BSG in foods and animal feed, as well as the pharmaceutical and cosmetic industries, research into new conservation systems, new uses, and enhancement technologies, as well as a better understanding of the use of microorganisms as biocatalysts, is critical. However, little is known about the nutrient changes in WBG stored at different temperatures and for different lengths of time. The objective of this experiment, therefore, was to evaluate the effects of storage duration and temperature on the chemical composition, in-vitro digestibility, and fungal load dynamics and recommend optimum storage duration under aerobic storage conditions for livestock producers located under varying geographical and climatic conditions in the country.\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003ch3\u003eExperimental locations, sampling procedures and measurements\u003c/h3\u003e\n\u003cp\u003eThe study was conducted on-station at Holetta Agricultural Research Center (HARC), Animal Nutrition and Dairy Microbiology Laboratories.\u0026nbsp;It was aimed at developing optimum storage duration for fresh brewers\u0026rsquo; spent grain conserved aerobically using different storage conditions. Accordingly, the effect of aerobic storage conditions on brewer\u0026rsquo;s grain nutritional and fungal load dynamics\u0026nbsp;was studied by considering three storage temperatures\u0026nbsp;(15, 20 and 25 \u003csup\u003eO\u003c/sup\u003eC) and three storage duration (2, 4, and 6 days). Fresh brewery grain sample was obtained from a nearby Meta Abo brewery (40 km) for timely transportation of the samples to HARC Animal Nutrition Laboratory. Twenty-five kilograms of sample of WBG was collected using an ice box and stored in the lab using a deep freezer set at temperature of -20 \u003csup\u003e0\u003c/sup\u003eC until the day the sample was ready for the next laboratory work. After thawing the frozen WBG, some 500 g of the sample was placed in pre-weighed sterile plastic beakers (500 ml capacity). All beakers were covered with 3 layers of cheesecloth to prevent rapid vaporization of moisture while retaining aerobic conditions in the beakers. Each WBG treatment was stored in a thermostatic incubator in five replications using the three storage temperatures and three storage times listed above. A panel of three discussants assessed samples that had been exposed to air during storage based on color, texture, odor, and the extent of mold cover. The panel\u0026apos;s rating was converted to a numerical scale of 0 to 5, with 0 denoting no visible spoilage, l denoting minor mold growth, 2 denoting mold growth + discoloration, 3 denoting mold growth, discoloration, and surface collapse, 4 denoting mold growth, discoloration, and surface collapse + slight odor, and 5 denoting mold growth, discoloration, and surface collapse + offensive odor (Allen and Stevenson, 1975). Initial and final weights of the beakers containing the samples were recorded to determine the DM loss taken at each incubation temperatures and storage durations. About 100 g of these samples on DM basis were subjected to freeze-drying for subsequent feed chemical composition (DM, ash, CP, NDF, ADF, permanganate lignin, DOMD) and growing molds and yeast colony count. The temperature regime and relative humidity condition (RH = 70%) used in this experiment were designed to roughly represent average daily temperatures and relative humidity conditions prevailing across the country where the WBG beneficiaries are located. The storage durations used in the present trial were also within the range of safe aerobic storage durations (2-7 day) recommended for fresh WBG under warm and cool tropical temperature conditions (Amaral-Philips and Hemken, 2002;\u0026nbsp;Thomas \u003cem\u003eet al\u003c/em\u003e., 2010). The temperature and average relative humidity were controlled by allowing \u0026plusmn;1\u0026deg;C and 1% fluctuation from the set temperature and relative humidity for all the incubations.\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eLaboratory analysis\u003c/h2\u003e\n\u003cp\u003eBrewers\u0026rsquo; spent grain samples from different storage temperatures and duration were dried in a forced ventilation oven (55 \u0026deg;C for 72 h) and ground to pass through 1 and 2-mill Cyclotec sample mill screen (Tecator 1093, Tecator AB, Hoganas, Sweden). All samples were analyzed for DM, total ash, and crude protein (CP) using the procedure of AOAC (1990). Neutral detergent fiber (NDF), acid detergent fiber (ADF), and saturated potassium permanganate lignin were determined by the procedures of Van Soest and Robertson (1985). Tilley and Terry\u0026apos;s (1963) two-stage in-vitro digestibility technique was employed to analyze and calculate the digestible organic matter in the dry matter of the samples. Metabolizable energy (ME) was estimated from the in-vitro organic matter in the dry matter digestibility (DOMD) as EME (MJ/kg) =0.16 x DOMD (McDonald et al., 2002). Dry matter losses were calculated as a difference of DM for the fresh (control) WBG sample and the same samples that were subjected to aerobic and anaerobic storage treatments. Yeasts and molds were direct plates counted by pour plating of 25g ground dried brewers\u0026rsquo; grain samples dissolved in 225 ml of peptone water onto Potato Dextrose agar medium injected with 1ppm per 100 ml of agar with chloramphenicol and streptomycin to restrict bacterial growth (FAO, 1997). Plates were incubated aerobically at 28\u0026plusmn;1\u0026deg;C for 3 days and growing molds and yeast colonies were directly counted (MoH, 2010).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analyses\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe model for lab experiment one was Y\u003csub\u003eijk\u003c/sub\u003e =\u0026nbsp;m\u0026nbsp;+ C\u003csub\u003ei\u003c/sub\u003e +L\u003csub\u003ej\u003c/sub\u003e + CL\u003csub\u003eij\u003c/sub\u003e + e\u003csub\u003eijk,;\u0026nbsp;\u003c/sub\u003eWhere;m\u0026nbsp;= Overall mean; Ci= Effect of storage temperature; L\u003csub\u003ej\u003c/sub\u003e = Effect of storage duration; CLij = Interaction effect; e\u003csub\u003eijk\u003c/sub\u003e = Random error. To compare the extent of feed quality deteriorations between the control/fresh and WBG samples that were conserved using aerobic and anaerobic storage techniques, orthogonal contrast analysis has been used. All data were subjected to analysis of variance using the general linear model (GLM) procedures of Statistical Analysis System, version 9.3 (SAS, 2014). Mean separations were made using Least Significant Differences (LSD) analysis at P\u0026le; 0.05.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eSurface spoilage of fresh brewers\u0026rsquo; grain stored under aerobic conditions\u003c/h2\u003e \u003cp\u003eThe extent of spoilage occurrence on the surface of the WBG stored aerobically under various storage temperature and duration conditions are presented in Table \u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. When the WBG was stored at 15\u0026deg;C no visible spoilage was observed up to the sixth day of storage. Deterioration was not also observed at 20\u0026deg;C until the fourth day of storage where slight mold growth was apparent. Extensive mold growth was detected late in the sixth day at 20\u0026deg; C and continued manifestations up until the last day of storage at 25\u0026deg;C. Severe spoilage which was characterized by the worst spoilage rating of 5 was not observed at any given storage temperature and duration, although more deterioration was observed at 25\u0026deg;C as storage duration increased.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSurface spoilage ratings of fresh brewer\u0026rsquo;s grain stored at different storage temperatures and durations (relative humidity= 70%)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eStorage temperatures (\u003csup\u003eo\u003c/sup\u003e C)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e \u003cp\u003eStorage durations (days)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003e\u003cem\u003eRatings: 0 = No visible spoilage; l = Slight mold growth; 2 = Mold growth + discoloration; 3 = Mold growth + discoloration + surface collapse; 4 = Mold growth + discoloration + surface collapse + slight odor; 5 = Mold growth + deterioration + surface collapse + offensive odor\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eChemical composition and IVDOMD of brewer\u0026rsquo;s grain stored under aerobic conditions\u003c/h2\u003e \u003cp\u003eChanges in the nutritional composition of all parameters measured and DM loss of WBG were significantly affected by the interaction of storage temperatures and durations (Table \u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). At a temperature of 15\u0026deg;C, storage duration did not have an effect on all parameters measured (P \u0026gt; 0.05). At temperatures of 20 and 25\u0026deg;C, the DM, CP, NDF, in vitro digestibility decreased, while the ash, ADF, lignin and dry matter loss increased with increasing storage duration (P \u0026lt; 0.05). A similar trend of decreasing DM, CP, NDF, in vitro digestibility content, and increasing ash, ADF, lignin, and dry matter loss was observed with an increase in storage temperature.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eEffects of storage duration (days) and temperature (\u0026deg;C) on chemical composition, DOMD and dry matter loss of brewer\u0026rsquo;s grain (RH=70%)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"10\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eSD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eST\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"8\" nameend=\"c10\" namest=\"c3\"\u003e \u003cp\u003eChemical composition (g/kg for DM; g/kg DM for others and % for DML)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDM\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAsh\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eCP\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNDF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eADF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eLignin\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eIVDOMD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eDML\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e242\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e45\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e264\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e629\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e253\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e67\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e698\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.1\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e241\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e46\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e263\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e629\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e253\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e68\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e697\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.4\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e240\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e47\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e261\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e628\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e254\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e68\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e694\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.9\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e240\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e47\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e261\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e627\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e270\u003csup\u003ef\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e72\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e687\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.1\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e218\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e62\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e232\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e600\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e314\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e89\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e630\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e10.1\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e201\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e71\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e212\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e588\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e333\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e96\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e581\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e17.2\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e223\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e61\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e236\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e576\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e301\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e91\u003csup\u003ecd\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e659\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e8.0\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e191\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e75\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e197\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e567\u003csup\u003eed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e346\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e98\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e630\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e21.3\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e185\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e83\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e181\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e558\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e357\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e102\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e581\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e23.7\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eSEM\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.51\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"10\"\u003e\u003cem\u003eSD= Storage date; ST= Storage temperature ;\u003c/em\u003e \u003csup\u003e\u003cem\u003ea\u0026minus;g\u003c/em\u003e\u003c/sup\u003e \u003cem\u003eMeans within a column with different superscripts differ (P\u0026lt;0.05); DM= Dry matter; CP=Crude protein; NDF=Neutral detergent fiber; ADF= Acid detergent fiber; IVDOMD=in-vitro digestible organic matter in the dry matter; DML=Dry matter loss; SEM =standard error of the mean\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe lower CP content was recorded from the BSG stored for 6 days at 25 0C temperature. While lower DM, NDF, and IVDOMD were observed for BSG stored for 6 days at 25 0C temperature. The higher lignin and ADF content were recorded for the BSG stored 6 days at 25 0C temperature. The dry matter loss of BSG was higher at 25 0C temperature with 6 days storage duration.\u003c/p\u003e \u003cp\u003eOrthogonal contrast comparing the fresh WBG with those stored at combinations of three temperatures and storage durations is shown in Table \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. The chemical composition and digestibility values for the three durations at temperature 15\u0026deg;C were similar to the fresh WBG (P \u0026gt; 0.05). Storage of WBG at 20\u0026deg;C and for 2 days resulted in a significant reduction in digestibility and increase the ADF and lignin content (P \u0026lt; 0.05) as compared to the fresh WBG, while other values were similar between the two treatments. Storage at 20\u0026deg;C and for durations of 4 and 6 days and at 25\u0026deg;C and all storage duration used in this study resulted in a significant effect on all measured chemical composition values and on in vitro digestibility of OM, whereby the DM, CP, NDF and in vitro digestibility values were reduced while other values were increased after storage compared to the fresh WBG samples (P \u0026lt; 0.05).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eContrast analysis for fresh brewer\u0026rsquo;s grain (T1) versus brewer\u0026rsquo;s grain stored at different storage temperatures (\u0026deg;C) and durations (days) (T2 to T10 (RH=70%)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"11\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eSD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eST\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eT\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eContrast\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"7\" nameend=\"c11\" namest=\"c5\"\u003e \u003cp\u003eChemical composition (g/kg for DM and g/kg DM for others)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDM\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eAsh\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eCP\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eNDF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eADF\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eLignin\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eDOMD\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e242\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e265\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e630\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e252\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e699\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e 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\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-1.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-1.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-2.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e4.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e4.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-18.4*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-5.7*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e11.8*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e24.4*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-16.8*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e32.9*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e29.9*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-61.8*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-22.7*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e69.7*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e41.6*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-24.8*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e53.2*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e41.2*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-80.8*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-29.5*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e118*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e19.2*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-14.8*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e28.9*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e53.9*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-48.4*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-24.7*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e40.5*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e51.6*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-28.8*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e68.1*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e62.1*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-94.0*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-31.8*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e69.7*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e57.4*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-37.0*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e83.8*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e71.3*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-105*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-36.1*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e118*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"11\"\u003e\u003cem\u003eSD= Storage date (days); ST= Storage temperature (\u003c/em\u003e\u003csup\u003e\u003cem\u003e0\u003c/em\u003e\u003c/sup\u003e\u003cem\u003eC); *Contrast is significant (P \u0026lt; 0.05); T = Treatment; DM=Dry matter; CP=Crude protein; NDF=Neutral detergent fiber; ADF=Acid detergent fiber; DOMD=Digestible organic matter in the dry matter; values for T1 are means and other values are mean differences between T1 and the respective treatments\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eFungal load dynamics of brewer\u0026rsquo;s grain stored under aerobic conditions\u003c/h2\u003e \u003cp\u003eCounts of yeast and mold for WBG samples stored at three temperatures and three durations were significantly affected (P \u0026lt; 0.05) by the interaction of storage temperature and storage duration (Table \u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). At a storage temperature of 15\u0026deg;C, the yeast and mold counts were similar (P \u0026gt; 0.05) for the three storage durations. At 20\u0026deg;C, the mold count was unaffected by storage duration (P \u0026gt; 0.05), while the yeast count was higher for 6 than 2 days of storage. Conversely, at 25\u0026deg;C yeast count was similar for the three storage durations while the mold count was higher for 6 than other storage days. It generally appears that yeast and the mod count is lower for 15\u0026deg;C than the other storage temperatures.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eEffects of storage duration (days) and temperature (\u003csup\u003eO\u003c/sup\u003eC) on yeast and mold counts of brewer\u0026rsquo;s grain (RH =70%)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eStorage durations\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eStorage temperatures\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003eFungal count (log10 CFU/g of WBG)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eYeast\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMold\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.8\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.8\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.5\u003csup\u003ede\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.0\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.7\u003csup\u003ecde\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.3\u003csup\u003ecd\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.5\u003csup\u003ebcd\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.6\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7.2\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.7\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7.7\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.1\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7.2\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.7\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.5\u003csup\u003ebcd\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.7\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.8\u003csup\u003eabc\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.6\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eSEM\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003e\u003cem\u003eWBG=Brewery spent grain; cfu= Coli form forming unit; SEM= SEM =standard error of the mean;\u003c/em\u003e \u003csup\u003e\u003cem\u003ea\u0026minus;g\u003c/em\u003e\u003c/sup\u003e \u003cem\u003eMeans with in a column with different superscripts differ (p\u0026lt;0.05)\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eOrthogonal contrast of the fresh WBG with those stored at different combinations of temperatures and storage durations indicated that yeast count significantly increased at all combinations of temperature and storage durations except for WBG stored at 15 \u003csup\u003eO\u003c/sup\u003eC for two days (Table \u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). On the other hand, mold count was not significantly affected for the three storage durations as 15 \u003csup\u003eO\u003c/sup\u003eC and for 2 days storage duration at 20 \u003csup\u003eO\u003c/sup\u003eC compared to the fresh WBG (P \u0026gt;0.05), while the other temperature storage duration combinations significantly increased the mold count compared to the fresh WBG ( P \u0026lt; 0.05). Generally, there were no considerable changes (P\u0026gt;0.05) in yeast and mold colony counts between the fresh and the stored WBG samples during the early hours of storage and low incubation temperatures.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eContrast analysis of yeast and mold counts of fresh brewer\u0026rsquo;s grain (T1) versus brewer\u0026rsquo;s grain stored at different storage temperatures (\u0026deg;C) and durations (days) (T2 to T10 (RH =70%)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eSD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eST\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eT\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eContrast\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eFungal counts (log10 cfu/g WBG)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eYeast\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eMold\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.08\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.75\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.23*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.88\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.48*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-2.22*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.55\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-2.95*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.62*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-3.45*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.99*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-2.98*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.63*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-2.25*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.60*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eT10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eT1-T10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-2.54*\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-2.50*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"6\"\u003e\u003cem\u003eSD= Storage date (days); ST= Storage temperature (\u003c/em\u003e\u003csup\u003e\u003cem\u003e0\u003c/em\u003e\u003c/sup\u003e\u003cem\u003eC); *Contrast is significant (P \u0026lt; 0.05); T = Treatment; WBG= Brewery spent grain; cfu= Coliform forming unit; values for T1 are means and other values are mean differences between T1 and the respective treatments\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eA higher level of air exposure (longer storage duration) and higher storage temperature in the present study were the two most important features that characteristically contributed to aerobic changes of WBG under storage. McDonald et al. (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1991\u003c/span\u003e) noted that deteriorations in air-exposed silage were majorly manifested by an elevation in temperature, a change in the odor, and the appearance of mold. The WBG stored under aerobic conditions for two days at temperatures below 20 \u003csup\u003e0\u003c/sup\u003eC showed visible changes, including an unpleasant odor, surface cracking, and color changes, which could have been caused by the rapid proliferation of yeast and molds, resulting in large nutrient losses in the fresh brewery grain sample used in this study.. Feeding such spoiled material might be a risk to the health of the animals and humans through carryover effects due to the likely production of mycotoxins such as aflatoxins (Asurmendi et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Souza et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2012\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe aerobic deterioration of WBG stored at high temperature and longer durations observed in the present study could be major factors responsible for high losses in nutritional components and reduction in DM digestibility. Hao et al (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) reported reduced IVDMD and DM loss with the extended exposure time, which is consistent with the current finding. In a related study conducted with distillers\u0026rsquo; grain stored in air-exposed bunker silos (Baskett et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) storage DM loss of 9.6% was reported. Marston et al. (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) also observed a sharp drop in DM by 37.7% for uncovered, aerobically stored fresh WBG, with the larger DM loss appeared to have been associated with the longer storage periods. The incremental changes in ash with storage period and temperature over the control WBG have also been noted earlier by Marston et al. (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2009\u003c/span\u003e), which could be associated with the loss in organic matter that proportionally increased the ash content.\u003c/p\u003e \u003cp\u003eAs opposed to an earlier finding by Wang et al. (\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2014\u003c/span\u003e), a markedly higher reduction in CP value relative to the control WBG was observed in this study, which could be attributed to ammonia losses from proteolysis by increased mold and yeast populations during aerobic fermentation and subsequent ventilation (Zopolatto et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). ADF was generally increasing consistently while NDF was on the opposite trend as storage periods and temperatures were advancing beyond 15 oC, indicating that the DM loss from the current trial was partly derived from the fresh WBG hemicellulose contents. This finding agrees with the report by Marston et al. (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) but was in contrast with the findings of Turner et al. (\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2002\u003c/span\u003e), who observed that all of the cell wall components constantly increased during the entire storage period and temperature conditions. The variation could be explained by the existence of more easily degradable hemicellulose in WBG in the current study than in the forages that the researchers used. The increased ADF and lignin contents during aerobic storage can be justified by the relative decrease in the other cell contents (Santos et al., \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2010\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe growth of microorganisms was unaffected by storage duration at a storage temperature of 15\u0026deg;C. At higher temperatures of 20\u0026deg;C and 25\u0026deg;C, the effect was seen at 2 days of storage. In the studies of Wang et al. (\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2014\u003c/span\u003e) and Coskuntuna et al. (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), WBG samples that were exposed to 20 to 30\u0026deg;C temperature deteriorated more than those exposed to \u0026gt;30\u0026deg;C. According to Higgins and Brinkhaus (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e1999\u003c/span\u003e), this phenomenon is most likely caused by the sigmoid growth nature of both microorganisms and their mycotoxins production in stored WBG. Mycotoxins and secondary metabolites produced by fungi are extremely harmful to both human and animal health (CAST, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). The extensive aerobic deterioration that led to the higher DM/OM losses with higher storage temperatures and storage durations in the present study might have been triggered by the large numbers of yeasts and molds proliferated as a result of residual water-soluble carbohydrates in the fresh WBG (Wang et al. (\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Furthermore, the early plateau observed at 20\u0026deg;C in the current trial could be due to the WBG samples' inherently high moisture content (Ashbell et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). Except for control and WBG samples stored in the early phases (2 days) for yeast and (6 days) for mold at a lower temperature (15\u0026deg;C), both yeast and mold colony counts for the remaining WBG samples exceed the limit \u0026gt;5.00 log CFU/g DM, which according to GMP, (2008) and Dairy One (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) is a sign for aerobic instability in stored feeds.\u003c/p\u003e \u003cp\u003eThere are limited studies of the effect of temperature and storage duration on the feed nutritional quality of WBG. On the basis of major feed and microbial quality data generated from the current study, it would be possible to advise dairy producers and recommend optimum storage durations under aerobic conditions for fresh WBG stored under varying environmental storage temperature conditions. Accordingly, taking the control as a benchmark, it would be safe to store under aerobic storage conditions and feed the WBG for dairy cattle provided that it is stored for less than 6 and 2 days at 15 and 20\u0026deg;C, respectively.\u003c/p\u003e \u003cp\u003eIn an attempt to determine optimum storage durations for fresh WBG samples stored under varying aerobic storage duration and temperature conditions, it would be safe to store and feed fresh WBG under local conditions provided that it is stored for less than 6 and 2 days at 15\u0026deg;C and 20\u0026deg;C, respectively (P \u0026lt; 0.05) without being exposed to aerobic deteriorations. To ensure efficient utilization of available WBG for dairy cattle under local conditions, further research engagements are required in the years to come. Accordingly, future research planning with WBG shall consider additional storage durations and temperatures, humidity conditions and biochemical test in a way that it precludes mycosis and further deteriorations in feed quality of WBG stored under aerobic storage conditions.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated during and analyzed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests \u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was a PhD dissertation and the partial funds for this study were granted by the Ethiopian Institute of Agricultural Research.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contribution\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eGK, MF, and GT conceived and designed research. GK conducted experiments, and analyzed the data. GK and MF wrote the manuscript, with comments and revisions by GT. All authors read and approved the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe are grateful to the Holetta laboratory technicians and researchers working in animal nutrition for the laboratory analysis.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAllen WR, Stevenson KR (1975) Influence of additives on short-term conservation of wet brewer\u0026rsquo;s grain stored in uncovered piles. Can J Anim Sci 55(4):609\u0026ndash;618\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAmaral-Philips DM, Hemken RW (2002) Using by-products to feed dairy cattle. 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J Ind Microbiology \u0026amp; Biotechnology 28:261\u0026ndash;263\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAsurmendi P, Barberis C, Dalcero A, Pascual L, Barberis L (2013) Survey of \u003cem\u003eAspergillus\u003c/em\u003e section f\u003cem\u003elavi\u003c/em\u003e and aflatoxin B1 in brewer\u0026rsquo;s grain used as pig feed stuff in C\u0026oacute;rdoba, Argentina. J Mycotoxin Res 29:3\u0026ndash;7\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBaskett J, Nelson A, Vincent K, Strohbehn D, Loy DD, Bern C, Brumm T (2009) Storage and handling of high moisture Co-products from ethanol production in beef operations. Feed Specialist and Veterinarian Study. Iowa State University Animal Industry Report. A.S. Leaflet R2417\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBirsan RI, Wilde P, Waldron K, W, Rai DK (2019) Recovery of polyphenols from brewer\u0026rsquo;s spent grains. Antioxidants 8(9):380. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/antiox8090380\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCAST (2003) Council of Agricultural Science and Technology. Mycotoxins: Risks in Plant, Animal, and Human Systems. EUA: CAST. Task Force Report no. 139. 217p\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eClark JH, Murphy MR, Croaker, and B. A (1987) Supplying the protein needs of dairy cattle from by-product feeds. J Dairy Sci 70:1092\u0026ndash;1109\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCohen E (1985) Statistical evaluation of Arrhenius model and its applicability in prediction of food quality losses. 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J Dairy Sci 86:2914\u0026ndash;2921\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFAO (1997) Food and Agriculture Organization. Status and Prospects for Smallholder Milk Production\u0026ndash;A Global Perspective by T. Hemme and J. Otte. Rome. 12p\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFărcaş A, Tofană M, Socaci S, Mudura E, Scrob S, Salanţă L, Mureşan V.2014. Brewers\u0026rsquo; spent grain \u0026ndash; a new potential ingredient for functional foods.J Agroaliment Process Technol20(2):137\u0026ndash;141\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGetu K, Birhan T, Getnet A, Getachew A (2018) Production, Preservation, and Utilization Patterns of Brewery Spent Grain in Ethiopia. Ethiopian J Agric Sci 28(3):1\u0026ndash;17\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGMP (Good Manufacturing Practices) (2008) Certification Scheme for Animal Feed Sector, Including Residue Standards (Version March 28th, 2008). 103p\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGupta M, Abu-Ghannam N, and Gallaghar E (2010) Barley for brewing: characteristic changes during malting brewing and applications of its by-products. Compr Rev Food Sci Food Saf 9(3):318\u0026ndash;328\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHao W, Wang HL, Ning TT, Yang FY, Xu CC (2015) Aerobic stability and effects of yeasts during deterioration of non-fermented and fermented total mixed ration with different moisture levels. Asian Australia\u0026rsquo;s J Anim Sci 28(6):816\u0026ndash;826\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHiggins C, Brinkhaus F (1999) Efficacy of several organic acids against molds. J Appl Poult, Res 8:480\u0026ndash;487\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKaur VI, Saxena PK (2004) Incorporation of brewery waste in supplementary feed and its impact on growth in some carps. Bio resour Technol 91:101\u0026ndash;104\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKunze W (2004) Brewing Malting. Vlb, Berlin, pp 18\u0026ndash;152\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMarston SP, Spangler DA, Whitehouse NL, Erickson PS (2009) Case study: addition of a silage preservative reduces spoilage in wet brewer\u0026rsquo;s grain. J the Professional Animal Scientist 25:388\u0026ndash;392\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMcDonald P, Edwards RA, Greenhalgh JFD, Morgan CA (2002) Animal Nutrition, 6th edn. Longman Scientific and Technical, Prentice Hall, New Jersey, USA, p 544\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMcDonald P, Henderson N, Heron S (1991) The Biochemistry of Silage, 2nd edn. Chalcombe Publications, Bucks, p 340\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMoH PR, China (2010) National Food Safety Standard, Food Microbiological Examination: Enumeration of Molds and Yeasts. (GB 4789.15-2010. Beijing, China. 7p\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMussatto SI, Fernandes M, Mancilha IM, and Roberto I. C (2008) Effects of medium supplementation and pH control on lactic acid production from brewer\u0026rsquo;s spent grain. Biochem Eng 40(3):437\u0026ndash;444\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNofsinger GW, VanCauwenberge JE, Bothast RJ, Kwolek WF (1983) An Evaluation of chemical methods to extend the allowable storage time of wet distillers\u0026rsquo; grains. J Agric Food Chem 31:276\u0026ndash;279\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSantos M, Jimenez JJ, Bartolome B, Gomez-Cordoves C, del Nozal MJ (2003) Variability of brewers\u0026rsquo; spent grain within a brewery. Food Chem 80:17\u0026ndash;21\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSantos MB, Nader GA, Robinson PH, Kiran D, Krishnamoorthy U, Gomes MJ (2010) Impact of simulated field drying on \u003cem\u003ein-vitro\u003c/em\u003e gas production and voluntary dry matter intake of rice straw. Anim Feed Sci Technol 159:96\u0026ndash;104\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSAS (2014) Statistical Analysis System. SAS User\u0026rsquo;s Guide: Statistics, Version 9.3. SAS Inst. Inc., Cary, NC\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ede Souza LC, Zambom MA, Gundt S (2012) Development of microorganisms during storage of wet brewery waste under aerobic and anaerobic conditions. \u003cem\u003eJ. R. Bras. Zootec\u003c/em\u003e., \u003cb\u003e41\u003c/b\u003e(1). 6p\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eThomas M, Hersom M, Thrift T, Yelich J (2010) Wet Brewers' Grains for Beef Cattle. Univ. Florida, IFAS Extension, p 3\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTilley JMA, Terry RA (1963) A two-stage technique for \u003cem\u003ein vitro\u003c/em\u003e digestion of forage crops. J British Grassland Society 18:104\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTurner JE, Coblentz WK, Scarbrough DA, Coffey KP, Kellogg DW, Levi JM, Robert TR (2002) Changes in nutritive value of Bermuda grass hay during storage. Agron J 94:109\u0026ndash;117\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVan Soest PJ, Robertson JB (1985) Analysis of Forage and Fibrous Foods. A Laboratory Manual for Animal Science 613 Cornell University, Ithaca, New York, USA. 202p\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWang B, Luo Y, Myung KH, Liu JX (2014) Effects of storage duration and temperature on the chemical composition, microorganism density, and \u003cem\u003ein vitro\u003c/em\u003e rumen fermentation of wet brewers grains. Asian-Australasian J Anim Sci 27(6):832\u0026ndash;840\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZopolatto M, Daniel JLP, Nussio LG (2009) Aditivos microbiol\u0026oacute;gicos em silagens no Brasil: revis\u0026atilde;o dos aspectos da ensilageme do desempenho de animais.R \u003cem\u003eBras. Zootec\u003c/em\u003e. \u003cb\u003e38\u003c/b\u003e: 170\u0026ndash;189\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZupančič GD, Panjičko M, Zelić B (2017) Biogas production from brewer\u0026rsquo;s yeast using an anaerobic sequencing batch reactor. Food Technol Biotechnol 55(2):187\u0026ndash;196\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"amb-express","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ambe","sideBox":"Learn more about [AMB Express](http://amb-express.springeropen.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/AMBE/default.aspx","title":"AMB Express","twitterHandle":"@SpringerOpen","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Aerobic, fungal, storage durations, temperature, brewers’ grain","lastPublishedDoi":"10.21203/rs.3.rs-1021246/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1021246/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBrewers’ spent grain (BSG) is the amplest by-product of the brewing process. Fresh BSG is currently used as low-cost cattle feed due to its microbiological instability and high perishability. While recent research has looked the effects of storage time and temperature on the characteristics of wet brewers grains (WBG) as ruminant feeds. Three storage temperatures (15°C, 20°C, and 25°C) and periods (2, 4 and 6 days) were arranged in a 3×3 factorial design. Surface spoilage was not apparent at 15 °C throughout the storage periods.\u0026nbsp;Deterioration was not also observed at 20 °C until the fourth day of storage where slight mold growth was apparent. Extensive mold growth was detected late in the sixth day at 20° C and continued manifestations up until the last day of storage at 25°C. Changes in major nutrients, DM losses, and yeast and mold colony count were significantly affected by the interaction of storage temperatures and durations (P\u0026lt;0.05). Except for samples stored at 15° C, nutrients contents decreased concomitantly (exceptions are ADF, lignin, and loss in DM) with prolonged storage times (p\u0026lt;0.05) and increasing temperatures (p\u0026lt;0.05). Contrast analysis indicated that it would be safe to store under aerobic storage conditions and feed the WBG for dairy cattle.\u003c/p\u003e","manuscriptTitle":"Nutritional and Fungal Load Dynamics of Fresh Brewers’ Grain Stored Under Aerobic Conditions","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-10-29 15:21:26","doi":"10.21203/rs.3.rs-1021246/v1","editorialEvents":[{"type":"communityComments","content":2},{"type":"editorInvitedReview","content":"","date":"2021-12-03T12:46:48+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2021-11-01T16:31:07+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2021-10-28T14:21:17+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2021-10-27T23:00:00+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2021-10-27T17:09:21+00:00","index":"","fulltext":""},{"type":"submitted","content":"AMB Express","date":"2021-10-26T13:27:03+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"amb-express","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ambe","sideBox":"Learn more about [AMB Express](http://amb-express.springeropen.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/AMBE/default.aspx","title":"AMB Express","twitterHandle":"@SpringerOpen","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"48c569ad-1dbf-4eca-8bcf-21d7540a10f2","owner":[],"postedDate":"October 29th, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":8196279,"name":"General Biochemistry"},{"id":8196280,"name":"Molecular Biology"}],"tags":[],"updatedAt":"2022-01-27T10:14:23+00:00","versionOfRecord":[],"versionCreatedAt":"2021-10-29 15:21:26","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-1021246","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-1021246","identity":"rs-1021246","version":["v1"]},"buildId":"FbvkV6FR0MCFSLy54lSbu","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

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europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-05-28T02:00:01.590549+00:00
License: CC-BY-4.0