Xi Lu, Bingyan Zhang, Man Zhao, Rong Tang, Xiaocao Liu
This study established a systematic framework to isolate and functionally characterize lactic acid bacteria from camel milk collected in Western China, targeting strains exhibiting robust antioxidant properties. Among 199 isolates, Leuconostoc mesenteroides C8 exhibited high oxidative stress tolerance and superior antioxidant activity. Its incorporation into yogurt fermentation significantly improved product stability and antioxidant retention during 21-d storage, even under light and thermal stress. This dual-level validation-from functional screening to food system application-highlights C8's functional potential and positions camel milk-derived probiotics as valuable resources for developing antioxidant-enriched, value-added fermented dairy products.
{"title":"Isolation and functional characterization of Leuconostoc mesenteroides from camel milk with application in antioxidant-enhanced yogurt fermentation.","authors":"Xi Lu, Bingyan Zhang, Man Zhao, Rong Tang, Xiaocao Liu","doi":"10.3168/jds.2025-27359","DOIUrl":"https://doi.org/10.3168/jds.2025-27359","url":null,"abstract":"<p><p>This study established a systematic framework to isolate and functionally characterize lactic acid bacteria from camel milk collected in Western China, targeting strains exhibiting robust antioxidant properties. Among 199 isolates, Leuconostoc mesenteroides C8 exhibited high oxidative stress tolerance and superior antioxidant activity. Its incorporation into yogurt fermentation significantly improved product stability and antioxidant retention during 21-d storage, even under light and thermal stress. This dual-level validation-from functional screening to food system application-highlights C8's functional potential and positions camel milk-derived probiotics as valuable resources for developing antioxidant-enriched, value-added fermented dairy products.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C Velasquez, L M Campos, D A Vesga, J M V Pereira, F C Ferreira, C C Fantini, X Yang, P H V Carvalho
This study aimed to evaluate the performance of published equations for estimating the BW of day-old beef × dairy (B × D) male calves based on morphological measures, and to develop, test, evaluate, cross-evaluate, and validate BW-predictive equations using body morphological measurements. Three hundred twenty B × D male calves were enrolled upon arrival at the calf-raising facility, and morphological measurements such as BW, heart girth (HG), hip height (HH), and hoof circumference (HC) were recorded from each calf within the first 24 h of life. Forty-six published peer-reviewed equations were evaluated against the development dataset using root mean squared error (RMSE), concordance correlation coefficient (CCC), and mean squared error decomposition (mean bias, slope bias, and residual error) to assess agreement between observed and predicted BW. Moreover, 3 linear equations were developed using a forward selection criterion for HG (Equation 1), HG and HH (Equation 2), and HG, HH, and HC (Equation 3). In addition to linear models, evaluation of quadratic, cubic, and exponential models was assessed to determine the relationship between BW and morphological traits. Among the tested models, the linear equation proved more effective and simpler than the quadratic, cubic, and exponential models and was ultimately selected for validation. Overall, 76% of the published equations demonstrated poor agreement with observed BW, as indicated by an average CCC (0.49) and an average BW RMSE of 107.00 kg. An additional 17% of the published equations achieved moderate agreement, with average CCC values between 0.50 and 0.60 and an RMSE for BW of 6.20 kg; only 7% (the top-performing published equations) had CCC values greater than 0.60 and an RMSE for BW of 4.50 kg. All 3 developed equations exhibit greater predictive performance than 43 (93%) of the published equations, with an average CCC of 0.75 and an RMSE for BW of 3.50 kg. Cross-evaluation of the 3 developed equations demonstrated moderate to high BW-predicting performance (RMSE = 3.80 kg; CCC = 0.74). The validation assessment using an independent dataset of 176-d-old B × D male calves that only included HG as a morphological measurement indicated that the HG equation (Equation 1) had a moderate to high performance (RMSE = 3.80 kg; CCC = 0.64) in predicting the BW of day-old B × D male calves. Thus, indicating that this developed equation (Equation 1) can be applied as an on-farm tool to predict the BW of day-old B × D male calves.
{"title":"Evaluation of body weight prediction equations and development of morphological models for day-old beef-on-dairy calves.","authors":"C Velasquez, L M Campos, D A Vesga, J M V Pereira, F C Ferreira, C C Fantini, X Yang, P H V Carvalho","doi":"10.3168/jds.2025-27606","DOIUrl":"https://doi.org/10.3168/jds.2025-27606","url":null,"abstract":"<p><p>This study aimed to evaluate the performance of published equations for estimating the BW of day-old beef × dairy (B × D) male calves based on morphological measures, and to develop, test, evaluate, cross-evaluate, and validate BW-predictive equations using body morphological measurements. Three hundred twenty B × D male calves were enrolled upon arrival at the calf-raising facility, and morphological measurements such as BW, heart girth (HG), hip height (HH), and hoof circumference (HC) were recorded from each calf within the first 24 h of life. Forty-six published peer-reviewed equations were evaluated against the development dataset using root mean squared error (RMSE), concordance correlation coefficient (CCC), and mean squared error decomposition (mean bias, slope bias, and residual error) to assess agreement between observed and predicted BW. Moreover, 3 linear equations were developed using a forward selection criterion for HG (Equation 1), HG and HH (Equation 2), and HG, HH, and HC (Equation 3). In addition to linear models, evaluation of quadratic, cubic, and exponential models was assessed to determine the relationship between BW and morphological traits. Among the tested models, the linear equation proved more effective and simpler than the quadratic, cubic, and exponential models and was ultimately selected for validation. Overall, 76% of the published equations demonstrated poor agreement with observed BW, as indicated by an average CCC (0.49) and an average BW RMSE of 107.00 kg. An additional 17% of the published equations achieved moderate agreement, with average CCC values between 0.50 and 0.60 and an RMSE for BW of 6.20 kg; only 7% (the top-performing published equations) had CCC values greater than 0.60 and an RMSE for BW of 4.50 kg. All 3 developed equations exhibit greater predictive performance than 43 (93%) of the published equations, with an average CCC of 0.75 and an RMSE for BW of 3.50 kg. Cross-evaluation of the 3 developed equations demonstrated moderate to high BW-predicting performance (RMSE = 3.80 kg; CCC = 0.74). The validation assessment using an independent dataset of 176-d-old B × D male calves that only included HG as a morphological measurement indicated that the HG equation (Equation 1) had a moderate to high performance (RMSE = 3.80 kg; CCC = 0.64) in predicting the BW of day-old B × D male calves. Thus, indicating that this developed equation (Equation 1) can be applied as an on-farm tool to predict the BW of day-old B × D male calves.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Co-fermentation using functional lactic acid bacteria strains provides a promising approach to improve the quality and health benefits of fermented dairy products. This study examined the effects of the commercial starter PYS-010 (containing Streptococcus salivarius ssp. thermophilus and Lactobacillus delbrueckii ssp. bulgaricus) and stabilizer on the physicochemical properties and metabonomics of brown fermented milk prepared using Lactobacillus helveticus H11, and the changes of metabolic flavor during storage. The combination of L. helveticus H11 and PYS-010 significantly shortened fermentation time, improved viscosity, water-holding capacity, and texture, and showed peak angiotensin-converting enzyme inhibitory activity on d 7 and 14 of storage. Nontargeted metabolomics revealed that the addition of PYS-010 significantly changed the metabolism of amino acids and fatty acids fermented by a single L. helveticus H11 strain. Further dynamic monitoring of the group fermented using L. helveticus H11 with 0.5% stabilizer and 0.003% PYS-010 during storage revealed that W5S, W2W, sourness, and saltiness sensor responses could serve as indicators for storage duration. On d 21, the contents of arachidonic acid, butyric acid, and l-malic acid increased significantly. This study provides a comprehensive view on the fermentation characteristics and metabolic changes of L. helveticus H11 during co-fermentation with PYS-010.
利用功能性乳酸菌菌株进行共发酵为提高发酵乳制品的质量和健康效益提供了一条很有前景的途径。本研究考察了含唾液链球菌的商业发酵剂PYS-010的效果。嗜热菌和德氏乳杆菌。研究了用helveticus乳酸菌H11制备棕色发酵乳的理化性质和代谢组学特征,以及贮藏过程中代谢风味的变化。L. helveticus H11与PYS-010的组合显著缩短了发酵时间,提高了其黏度、保水能力和质地,并在贮藏第7天和第14天出现了血管紧张素转换酶抑制活性的峰值。非靶向代谢组学研究表明,添加PYS-010显著改变了单株L. helveticus H11菌株发酵的氨基酸和脂肪酸代谢。进一步对添加0.5%稳定剂和0.003% PYS-010的L. helveticus H11发酵组在贮藏期间进行动态监测,发现W5S、W2W、酸味和咸味传感器响应可以作为贮藏时间的指标。第21天花生四烯酸、丁酸和l-苹果酸含量显著增加。本研究全面了解了L. helveticus H11与PYS-010共发酵过程中的发酵特性及代谢变化。
{"title":"Fermentation and metabolic profiling of brown fermented milk co-fermented with Lactobacillus helveticus H11 and PYS-010.","authors":"Jianli Li, Qian Wang, Chunle Tian, Yaxin Zhao, Sheng Zhang, Yongfu Chen","doi":"10.3168/jds.2025-27237","DOIUrl":"https://doi.org/10.3168/jds.2025-27237","url":null,"abstract":"<p><p>Co-fermentation using functional lactic acid bacteria strains provides a promising approach to improve the quality and health benefits of fermented dairy products. This study examined the effects of the commercial starter PYS-010 (containing Streptococcus salivarius ssp. thermophilus and Lactobacillus delbrueckii ssp. bulgaricus) and stabilizer on the physicochemical properties and metabonomics of brown fermented milk prepared using Lactobacillus helveticus H11, and the changes of metabolic flavor during storage. The combination of L. helveticus H11 and PYS-010 significantly shortened fermentation time, improved viscosity, water-holding capacity, and texture, and showed peak angiotensin-converting enzyme inhibitory activity on d 7 and 14 of storage. Nontargeted metabolomics revealed that the addition of PYS-010 significantly changed the metabolism of amino acids and fatty acids fermented by a single L. helveticus H11 strain. Further dynamic monitoring of the group fermented using L. helveticus H11 with 0.5% stabilizer and 0.003% PYS-010 during storage revealed that W5S, W2W, sourness, and saltiness sensor responses could serve as indicators for storage duration. On d 21, the contents of arachidonic acid, butyric acid, and l-malic acid increased significantly. This study provides a comprehensive view on the fermentation characteristics and metabolic changes of L. helveticus H11 during co-fermentation with PYS-010.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jessica C L Motta, Rodrigo V Sala, Cameron B Hayden, Daniela Pereira, Victor A Absalón-Medina, Juan F Moreno, Pablo J Ross, Alvaro García-Guerra
Female cattle with low-anti-Müllerian hormone (AMH) have fewer antral follicles and reduced in vitro embryo production (IVEP) potential than high-AMH females. In addition, granulosa cells of low-AMH females have a diminished responsiveness to FSH, despite elevated circulating FSH concentrations. However, AMH phenotype is generally not considered when establishing FSH dosage for ovarian superstimulation. Thus, this study aimed to assess the effect of FSH dosage on IVEP outcomes in high- and low-AMH female cattle. Pregnant Holstein heifers (~50 d of gestation) with high- (>331 pg/mL; n = 31) and low- (<192 pg/mL; n = 31) circulating AMH were enrolled at 2 different locations for experiment 1 and experiment 2, respectively. Heifers were assigned to receive 0, 280, or 525 IU of FSH in a crossover design at 14 d intervals. Follicular wave emergence was synchronized using follicular ablation and FSH treatments, comprising 4 decreasing doses administered 12 h apart, were initiated 36 h after follicular ablation. Cumulus oocyte complexes (COC) were retrieved using ovum pick-up (OPU) 40 h after the last FSH administration and subjected to IVEP. Data were analyzed using generalized linear mixed models and orthogonal polynomial contrasts. In high-AMH heifers, total follicles and COC increased in a linear FSH dose-dependent manner. Similarly, blastocyst percentage increased linearly with increasing FSH dose, resulting in a linear increase in blastocyst yield (0 IU: 2.8 ± 0.4; 280 IU: 4.9 ± 0.7; 525 IU: 6.5 ± 0.8). In low-AMH heifers, there was a quadratic effect of FSH dose on total follicles, whereby there was a greater increase in number of follicles between 0 and 280 IU of FSH than between 280 and 525 IU. Conversely, the number of COC increased linearly with increasing FSH dose. There was a quadratic effect of FSH dose on blastocyst percentage, whereby the blastocyst percentage increased between 0 and 280 IU of FSH but not between 280 and 525 IU. Nevertheless, the number of blastocysts produced increased linearly with FSH dose (0 IU: 2.0 ± 0.4; 280 IU: 3.8 ± 0.6; 525 IU: 4.8 ± 0.8). In conclusion, the administration of FSH before OPU enhances IVEP in both high- and low-AMH heifers in a dose-dependent manner. Notably, the FSH-driven improvement in oocyte developmental competence reached a threshold at 280 IU of FSH in low- but not high-AMH heifers, suggesting that the optimal FSH dosage to maximize IVEP efficacy may be less for low- than high-AMH phenotype heifers.
抗勒氏杆菌激素(AMH)水平低的母牛与AMH水平高的母牛相比,其窦卵泡较少,体外胚胎生成(IVEP)潜力降低。此外,低amh雌性的颗粒细胞对FSH的反应性降低,尽管循环FSH浓度升高。然而,在确定用于卵巢过度刺激的FSH剂量时,通常不考虑AMH表型。因此,本研究旨在评估FSH剂量对高和低amh雌性牛IVEP结果的影响。怀孕的荷斯坦小母牛(妊娠~50 d),高- (>331 pg/mL; n = 31)和低- (
{"title":"Differential effects of follicle-stimulating hormone dosage on in vitro embryo production in high- and low-anti-Müllerian hormone Holstein heifers.","authors":"Jessica C L Motta, Rodrigo V Sala, Cameron B Hayden, Daniela Pereira, Victor A Absalón-Medina, Juan F Moreno, Pablo J Ross, Alvaro García-Guerra","doi":"10.3168/jds.2025-27587","DOIUrl":"https://doi.org/10.3168/jds.2025-27587","url":null,"abstract":"<p><p>Female cattle with low-anti-Müllerian hormone (AMH) have fewer antral follicles and reduced in vitro embryo production (IVEP) potential than high-AMH females. In addition, granulosa cells of low-AMH females have a diminished responsiveness to FSH, despite elevated circulating FSH concentrations. However, AMH phenotype is generally not considered when establishing FSH dosage for ovarian superstimulation. Thus, this study aimed to assess the effect of FSH dosage on IVEP outcomes in high- and low-AMH female cattle. Pregnant Holstein heifers (~50 d of gestation) with high- (>331 pg/mL; n = 31) and low- (<192 pg/mL; n = 31) circulating AMH were enrolled at 2 different locations for experiment 1 and experiment 2, respectively. Heifers were assigned to receive 0, 280, or 525 IU of FSH in a crossover design at 14 d intervals. Follicular wave emergence was synchronized using follicular ablation and FSH treatments, comprising 4 decreasing doses administered 12 h apart, were initiated 36 h after follicular ablation. Cumulus oocyte complexes (COC) were retrieved using ovum pick-up (OPU) 40 h after the last FSH administration and subjected to IVEP. Data were analyzed using generalized linear mixed models and orthogonal polynomial contrasts. In high-AMH heifers, total follicles and COC increased in a linear FSH dose-dependent manner. Similarly, blastocyst percentage increased linearly with increasing FSH dose, resulting in a linear increase in blastocyst yield (0 IU: 2.8 ± 0.4; 280 IU: 4.9 ± 0.7; 525 IU: 6.5 ± 0.8). In low-AMH heifers, there was a quadratic effect of FSH dose on total follicles, whereby there was a greater increase in number of follicles between 0 and 280 IU of FSH than between 280 and 525 IU. Conversely, the number of COC increased linearly with increasing FSH dose. There was a quadratic effect of FSH dose on blastocyst percentage, whereby the blastocyst percentage increased between 0 and 280 IU of FSH but not between 280 and 525 IU. Nevertheless, the number of blastocysts produced increased linearly with FSH dose (0 IU: 2.0 ± 0.4; 280 IU: 3.8 ± 0.6; 525 IU: 4.8 ± 0.8). In conclusion, the administration of FSH before OPU enhances IVEP in both high- and low-AMH heifers in a dose-dependent manner. Notably, the FSH-driven improvement in oocyte developmental competence reached a threshold at 280 IU of FSH in low- but not high-AMH heifers, suggesting that the optimal FSH dosage to maximize IVEP efficacy may be less for low- than high-AMH phenotype heifers.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bozhao Li, Thomas C France, James A O'Mahony, John T Tobin, Surabhi Subhir, Megan M Ross, Alan L Kelly, Paul L H McSweeney
The rennet and acid coagulation properties of reconstituted micellar casein concentrate prepared using cold or warm microfiltration (MF), at similar casein contents, were investigated, with low-heat skim milk powder (LHSMP) as a control. The MF retentates had higher casein content (as % of total protein) compared with LHSMP, and heat-induced whey protein-casein aggregates were only present in LHSMP. All MF retentates showed shorter rennet coagulation times and higher gel strengths than LHSMP, which may be linked to lower levels of whey protein (either native or denatured). At similar casein contents, longer rennet coagulation times were evident for cold MF retentates compared with warm MF retentates, as the ratio of κ-CN as a function of total increased with the depletion of β-CN. In terms of acid-induced coagulation, all MF retentates coagulated at a pH >5, higher than the gelation pH of LHSMP (4.7-4.9), which was confirmed by microscopic and textural analysis. An inflection point (increase, followed by a decrease) in G' value was seen during the acidification of warm MF retentates, but not cold MF retentates; this may be related to structural rearrangements of the gel initiated by release of colloidal calcium phosphate and compacting of the structure of warm MF retentate gels as pH decreased. Both warm and cold MF retentates exhibited shorter rennet coagulation times, stronger rennet-induced gels and higher acid-induced gelation pH compared with LHSMP, which might influence their use for the manufacture of cheese or yogurt with tailored functionalities.
{"title":"Effect of filtration temperature on rennet and acid coagulation properties of reconstituted micellar casein concentrates.","authors":"Bozhao Li, Thomas C France, James A O'Mahony, John T Tobin, Surabhi Subhir, Megan M Ross, Alan L Kelly, Paul L H McSweeney","doi":"10.3168/jds.2025-27505","DOIUrl":"https://doi.org/10.3168/jds.2025-27505","url":null,"abstract":"<p><p>The rennet and acid coagulation properties of reconstituted micellar casein concentrate prepared using cold or warm microfiltration (MF), at similar casein contents, were investigated, with low-heat skim milk powder (LHSMP) as a control. The MF retentates had higher casein content (as % of total protein) compared with LHSMP, and heat-induced whey protein-casein aggregates were only present in LHSMP. All MF retentates showed shorter rennet coagulation times and higher gel strengths than LHSMP, which may be linked to lower levels of whey protein (either native or denatured). At similar casein contents, longer rennet coagulation times were evident for cold MF retentates compared with warm MF retentates, as the ratio of κ-CN as a function of total increased with the depletion of β-CN. In terms of acid-induced coagulation, all MF retentates coagulated at a pH >5, higher than the gelation pH of LHSMP (4.7-4.9), which was confirmed by microscopic and textural analysis. An inflection point (increase, followed by a decrease) in G' value was seen during the acidification of warm MF retentates, but not cold MF retentates; this may be related to structural rearrangements of the gel initiated by release of colloidal calcium phosphate and compacting of the structure of warm MF retentate gels as pH decreased. Both warm and cold MF retentates exhibited shorter rennet coagulation times, stronger rennet-induced gels and higher acid-induced gelation pH compared with LHSMP, which might influence their use for the manufacture of cheese or yogurt with tailored functionalities.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Listeria monocytogenes is a foodborne pathogen problematic for the dairy industry, prompting dairy manufacturers to seek antilisterial additives to reduce the risk in dairy products that support the survival and growth. Bacillus spp. have been explored as being potential producers of antilisterial metabolites to inhibit Listeria spp. Bacillus subtilis and Bacillus pumilus were cultured in a food-grade medium mimicking tryptic soy broth supplemented with yeast extract (FG-TSBYE) and processed into foamed cell-free supernatant (CFS-F) to produce a cultured ingredient. This cultured ingredient was evaluated for antilisterial activity in a 96-well broth assay against Listeria target strains (n = 3). Bacillus subtilis Y487 was found to completely inhibit growth of all 3 Listeria target strains, whereas B. pumilus strains (HD49A and VF0409D) produced inhibitory activity against 2 out of 3 strains. Bacillus CFS-F showed good reproducibility with no significant difference found between independent cultures on the same plate. Biological reproducibility was variable for Listeria strains in response to Bacillus CFS-F. Listeria monocytogenes WRLP42 showed some consistency of technical replication (same plate) and good biological replication (across plates), whereas Listeria innocua WRLP438 and L. monocytogenes WRLP96 showed high variability among technical replicates (same plate) and high variability among biological target replication (across plates). Cottage cheese was formulated with freeze-dried CFS-F (CFS-F-FD) and inoculated with Listeria target strains (n = 3) and stored at 7°C for 25 d. The CFS-F-FD from B. pumilus VF0409D and B. subtilis Y487 were effective in delaying the lag phase of L. monocytogenes WRLP96 in cottage cheese by 7 d; however, CFS-F-FD induced changes in the texture and appearance of the cottage cheese. This proof-of-concept study demonstrates the efficacy of Bacillus spp. cell-free supernatant as a potential Listeria control measure in dairy foods. Further research is necessary to optimize antilisterial production and cell-free supernatant processing to minimize product changes.
{"title":"Evaluation of bioprotective potential of Bacillus species cell-free supernatant against Listeria species in cultured ingredient for application to cottage cheese.","authors":"Sage Taylor, Joy Waite-Cusic","doi":"10.3168/jds.2025-27538","DOIUrl":"https://doi.org/10.3168/jds.2025-27538","url":null,"abstract":"<p><p>Listeria monocytogenes is a foodborne pathogen problematic for the dairy industry, prompting dairy manufacturers to seek antilisterial additives to reduce the risk in dairy products that support the survival and growth. Bacillus spp. have been explored as being potential producers of antilisterial metabolites to inhibit Listeria spp. Bacillus subtilis and Bacillus pumilus were cultured in a food-grade medium mimicking tryptic soy broth supplemented with yeast extract (FG-TSBYE) and processed into foamed cell-free supernatant (CFS-F) to produce a cultured ingredient. This cultured ingredient was evaluated for antilisterial activity in a 96-well broth assay against Listeria target strains (n = 3). Bacillus subtilis Y487 was found to completely inhibit growth of all 3 Listeria target strains, whereas B. pumilus strains (HD49A and VF0409D) produced inhibitory activity against 2 out of 3 strains. Bacillus CFS-F showed good reproducibility with no significant difference found between independent cultures on the same plate. Biological reproducibility was variable for Listeria strains in response to Bacillus CFS-F. Listeria monocytogenes WRLP42 showed some consistency of technical replication (same plate) and good biological replication (across plates), whereas Listeria innocua WRLP438 and L. monocytogenes WRLP96 showed high variability among technical replicates (same plate) and high variability among biological target replication (across plates). Cottage cheese was formulated with freeze-dried CFS-F (CFS-F-FD) and inoculated with Listeria target strains (n = 3) and stored at 7°C for 25 d. The CFS-F-FD from B. pumilus VF0409D and B. subtilis Y487 were effective in delaying the lag phase of L. monocytogenes WRLP96 in cottage cheese by 7 d; however, CFS-F-FD induced changes in the texture and appearance of the cottage cheese. This proof-of-concept study demonstrates the efficacy of Bacillus spp. cell-free supernatant as a potential Listeria control measure in dairy foods. Further research is necessary to optimize antilisterial production and cell-free supernatant processing to minimize product changes.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David B Sheedy, Helen M Golder, Sergio C Garcia, Zhiqian Liu, Priyanka Reddy, Simone J Rochfort, Joanne E Hemsworth, Delphine E Vincent, Jennie E Pryce, Ian J Lean
<p><p>Identifying physiological determinants of dairy cow survival and their potential modulation by parity may reveal opportunities to improve herd health and longevity. This multisite, prospective, observational study investigated culling and mortality hazards using targeted lipidomic and standard metabolite assays. Blood samples, stratified by parity, were collected from 2 cow cohorts (1) dry and (2) peak-milk, from across 29 commercial Australian farms (14 pasture-based, 15 confinement-based). There were 717 nonlactating, late-pregnant, dry cows (∼27 d prepartum) and 794 peak-milk cows (∼58 DIM) sampled. A total of 186 lipid species (including glycerophospholipids, sphingomyelin, and triacylglycerols) and 11 routinely measured metabolites were evaluated. Sample cows were followed for an average of 693 d and exit reasons recorded. Competing risk survival models were used to estimate the cumulative incidence of culling and mortality by parity and cohort. Blood analytes were autoscaled within cohort and farm, controlling for farm-level effect on metabolites. Survival analysis was performed using an adaptive least absolute shrinkage and selection operator (LASSO) Cox full likelihood model that explored associations among blood analytes and hazards of removal, with a shared frailty of farm (accounting for farm-level baseline hazards), and 2 removal outcomes considered: culling (censoring: death, cull from farm accident, end of follow-up) and mortality (censoring: cull, death from farm accident, end of follow-up). Separate models were used to estimate survival outcome by cohort and parity groupings (first, second and third, and greater than third) or with parity as a categorical covariate. Due to high correlations, analyte data were reduced to 25 clusters using Ward's hierarchical clustering criterion. Bootstrapping of the LASSO variable selection procedure identified clusters with high selection frequency for use in the final model. The hazards and cumulative incidence of culling and mortality increased with parity. Glycerophospholipids with very-long-chain n-3 fatty acids were associated with reduced hazards of culling in parity 1 peak-milk cows (0.39 hazards ratio [HR]), whereas glycerophospholipids with n-3 α-linolenic acid were associated with reduced hazards of culling in parity >3 peak-milk cows (0.18 HR). Sphingomyelin with >C18 fatty acyl chains was associated with increased hazards of culling in parity >3 peak-milk cows (2.02 HR). Clusters containing the routinely evaluated analytes albumin, globulin, urea, magnesium, glucose, triglycerides, β-hydroxybutyric acid, bilirubin, and nonesterified fatty acid were associated with culling and mortality, consistent with their roles in health and reproduction. Lipids collected from dry cows were poor predictors of survival. Many novel plasma lipid targets for future research into survival of cattle were identified, with proinflammatory lipid profiles associated with increased risk of culling and m
{"title":"A large, multisite investigation into the lipidomics of survival in dairy cows.","authors":"David B Sheedy, Helen M Golder, Sergio C Garcia, Zhiqian Liu, Priyanka Reddy, Simone J Rochfort, Joanne E Hemsworth, Delphine E Vincent, Jennie E Pryce, Ian J Lean","doi":"10.3168/jds.2025-27687","DOIUrl":"https://doi.org/10.3168/jds.2025-27687","url":null,"abstract":"<p><p>Identifying physiological determinants of dairy cow survival and their potential modulation by parity may reveal opportunities to improve herd health and longevity. This multisite, prospective, observational study investigated culling and mortality hazards using targeted lipidomic and standard metabolite assays. Blood samples, stratified by parity, were collected from 2 cow cohorts (1) dry and (2) peak-milk, from across 29 commercial Australian farms (14 pasture-based, 15 confinement-based). There were 717 nonlactating, late-pregnant, dry cows (∼27 d prepartum) and 794 peak-milk cows (∼58 DIM) sampled. A total of 186 lipid species (including glycerophospholipids, sphingomyelin, and triacylglycerols) and 11 routinely measured metabolites were evaluated. Sample cows were followed for an average of 693 d and exit reasons recorded. Competing risk survival models were used to estimate the cumulative incidence of culling and mortality by parity and cohort. Blood analytes were autoscaled within cohort and farm, controlling for farm-level effect on metabolites. Survival analysis was performed using an adaptive least absolute shrinkage and selection operator (LASSO) Cox full likelihood model that explored associations among blood analytes and hazards of removal, with a shared frailty of farm (accounting for farm-level baseline hazards), and 2 removal outcomes considered: culling (censoring: death, cull from farm accident, end of follow-up) and mortality (censoring: cull, death from farm accident, end of follow-up). Separate models were used to estimate survival outcome by cohort and parity groupings (first, second and third, and greater than third) or with parity as a categorical covariate. Due to high correlations, analyte data were reduced to 25 clusters using Ward's hierarchical clustering criterion. Bootstrapping of the LASSO variable selection procedure identified clusters with high selection frequency for use in the final model. The hazards and cumulative incidence of culling and mortality increased with parity. Glycerophospholipids with very-long-chain n-3 fatty acids were associated with reduced hazards of culling in parity 1 peak-milk cows (0.39 hazards ratio [HR]), whereas glycerophospholipids with n-3 α-linolenic acid were associated with reduced hazards of culling in parity >3 peak-milk cows (0.18 HR). Sphingomyelin with >C18 fatty acyl chains was associated with increased hazards of culling in parity >3 peak-milk cows (2.02 HR). Clusters containing the routinely evaluated analytes albumin, globulin, urea, magnesium, glucose, triglycerides, β-hydroxybutyric acid, bilirubin, and nonesterified fatty acid were associated with culling and mortality, consistent with their roles in health and reproduction. Lipids collected from dry cows were poor predictors of survival. Many novel plasma lipid targets for future research into survival of cattle were identified, with proinflammatory lipid profiles associated with increased risk of culling and m","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145899061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaoqi Ma, Susanna E Räisänen, Kai Wang, Meredith A Harrison, Scott Zimmerman, Mutian Niu
<p><p>Methane (CH<sub>4</sub>) sniffers integrated into automated milking systems (AMS) are increasingly deployed to collect high-resolution, large-scale CH<sub>4</sub> emission data from dairy cows. The objective of this study was to assess how sniffer nozzle placement in AMS affects enteric CH<sub>4</sub> measurements in dairy cows. Nine CH<sub>4</sub> sniffer units (SimpleScan; C-Lock Inc.) were installed inside the AMS (DeLaval VMS) to measure enteric CH<sub>4</sub> concentration (ppm), with intake nozzles arranged in a 3 × 3, 15-cm grid above the feed bin. They were labeled from the top left to the bottom right position: upper left (UL), upper center (UC), upper right (UR), middle left (ML), middle center (MC), middle right (MR), lower left (LL), lower center (LC), and lower right (LR). Concurrently, a GreenFeed system (GF; C-Lock Inc.) was placed inside the freestall barn to measure enteric CH<sub>4</sub> production (g/d) from the same animals. Data from 107 cows were collected for 154 d. Visit-level data were aggregated by calculating mean values for each cow at the daily, weekly, and biweekly levels. Considerable variation in sniffer-based CH<sub>4</sub> concentration measurements was observed at the visit level, with mean (±SD) values ranging from 214 ± 102.5 ppm to 673 ± 239.9 ppm. The CV among sniffers ranged from 35.7% (LC) to 53.1% (MR) at the visit level and from 24.0% (UR) to 35.5% (LR) at the biweekly level. The Pearson correlation between each sniffer and the GF were moderate (r<sub>p</sub> ranged from 0.25 [MR] to 0.49 [MC and LC]), with the central positions showing the strongest correlation. Stronger correlations (r<sub>p</sub> >0.80) among sniffers were predominantly observed between sniffers positioned vertically. Visit-level CH<sub>4</sub> emission data were analyzed using generalized additive mixed-effects models. Aggregated data at daily, weekly, and biweekly levels of each cow were analyzed using a linear mixed-effects model. The variance components from these models were extracted to calculate repeatability. Repeatability estimates based on visit-level data were 0.19 for GF, with the values for individual sniffers ranging from 0.16 (UR) to 0.40 (LC). For both GF and sniffers, repeatability improved substantially when averaging weekly, with LC and MC achieving high repeatability (>0.70). To assess the potential of sniffers to rank cows as high or low emitters, estimated random cow effects of each sniffer position and the GF were used to calculate Spearman's rank correlation coefficients. Low to moderate correlations were observed (r<sub>s</sub> ranged from 0.31 [MR] to 0.56 [MC]). The MC location showed the greatest potential to rank animals. Finally, the model-estimated systematic effects on CH<sub>4</sub> emission varied by sniffer locations, with LC and MC being able to consistently capture similar diurnal variations, as well as breed- and parity-specific effects on CH<sub>4</sub> emissions, comparable to those detect
{"title":"Sniffer position in an automated milking system affects the variability, repeatability, and consistent ranking of enteric methane emission measurements of dairy cows.","authors":"Xiaoqi Ma, Susanna E Räisänen, Kai Wang, Meredith A Harrison, Scott Zimmerman, Mutian Niu","doi":"10.3168/jds.2025-27302","DOIUrl":"https://doi.org/10.3168/jds.2025-27302","url":null,"abstract":"<p><p>Methane (CH<sub>4</sub>) sniffers integrated into automated milking systems (AMS) are increasingly deployed to collect high-resolution, large-scale CH<sub>4</sub> emission data from dairy cows. The objective of this study was to assess how sniffer nozzle placement in AMS affects enteric CH<sub>4</sub> measurements in dairy cows. Nine CH<sub>4</sub> sniffer units (SimpleScan; C-Lock Inc.) were installed inside the AMS (DeLaval VMS) to measure enteric CH<sub>4</sub> concentration (ppm), with intake nozzles arranged in a 3 × 3, 15-cm grid above the feed bin. They were labeled from the top left to the bottom right position: upper left (UL), upper center (UC), upper right (UR), middle left (ML), middle center (MC), middle right (MR), lower left (LL), lower center (LC), and lower right (LR). Concurrently, a GreenFeed system (GF; C-Lock Inc.) was placed inside the freestall barn to measure enteric CH<sub>4</sub> production (g/d) from the same animals. Data from 107 cows were collected for 154 d. Visit-level data were aggregated by calculating mean values for each cow at the daily, weekly, and biweekly levels. Considerable variation in sniffer-based CH<sub>4</sub> concentration measurements was observed at the visit level, with mean (±SD) values ranging from 214 ± 102.5 ppm to 673 ± 239.9 ppm. The CV among sniffers ranged from 35.7% (LC) to 53.1% (MR) at the visit level and from 24.0% (UR) to 35.5% (LR) at the biweekly level. The Pearson correlation between each sniffer and the GF were moderate (r<sub>p</sub> ranged from 0.25 [MR] to 0.49 [MC and LC]), with the central positions showing the strongest correlation. Stronger correlations (r<sub>p</sub> >0.80) among sniffers were predominantly observed between sniffers positioned vertically. Visit-level CH<sub>4</sub> emission data were analyzed using generalized additive mixed-effects models. Aggregated data at daily, weekly, and biweekly levels of each cow were analyzed using a linear mixed-effects model. The variance components from these models were extracted to calculate repeatability. Repeatability estimates based on visit-level data were 0.19 for GF, with the values for individual sniffers ranging from 0.16 (UR) to 0.40 (LC). For both GF and sniffers, repeatability improved substantially when averaging weekly, with LC and MC achieving high repeatability (>0.70). To assess the potential of sniffers to rank cows as high or low emitters, estimated random cow effects of each sniffer position and the GF were used to calculate Spearman's rank correlation coefficients. Low to moderate correlations were observed (r<sub>s</sub> ranged from 0.31 [MR] to 0.56 [MC]). The MC location showed the greatest potential to rank animals. Finally, the model-estimated systematic effects on CH<sub>4</sub> emission varied by sniffer locations, with LC and MC being able to consistently capture similar diurnal variations, as well as breed- and parity-specific effects on CH<sub>4</sub> emissions, comparable to those detect","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145899092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sara Mondini, Giulia Gislon, Maddalena Zucali, Marta Pavolini, Luciana Bava, Alberto Tamburini, Anna Sandrucci
Lameness is a major welfare and productivity concern in dairy herds. This study investigated the influence of animal traits (parity, BCS) and environmental factors (farm, season) on locomotion score (LS) in lactating cows and assessed the impact of lameness on milking parameters using data from 3 Italian farms equipped with automatic milking systems (AMS). A total of 323 cows were evaluated biweekly for LS and BCS over 7 mo. The AMS data (n = 42,569 observations) were collected and analyzed with linear mixed models to assess relationships between LS and milking parameters. Multiple correspondence analysis was performed to explore variable associations, and a machine learning model (extreme gradient boosting) was trained to classify cows into 3 lameness classes. Cows in parity 3 or greater and thin cows showed significantly higher LS. Severely lame cows had reduced daily milk yield, fewer milkings per day, longer milking duration, and delayed milk flow, particularly in rear quarters. The machine learning algorithm, based on milking and cow-level features, achieved a balanced accuracy of 92% in classifying cows as nonlame, mildly lame, or severely lame. Shapley values revealed that BCS, parity, milk flow, and milking frequency were key predictive features. These findings confirm the potential of AMS and BCS data to support early detection of lameness. Integrating these data and machine learning offered an efficient approach to lameness monitoring without additional equipment.
{"title":"Classification of lameness in dairy cows using automatic milking system data and body condition score with machine learning.","authors":"Sara Mondini, Giulia Gislon, Maddalena Zucali, Marta Pavolini, Luciana Bava, Alberto Tamburini, Anna Sandrucci","doi":"10.3168/jds.2025-27107","DOIUrl":"https://doi.org/10.3168/jds.2025-27107","url":null,"abstract":"<p><p>Lameness is a major welfare and productivity concern in dairy herds. This study investigated the influence of animal traits (parity, BCS) and environmental factors (farm, season) on locomotion score (LS) in lactating cows and assessed the impact of lameness on milking parameters using data from 3 Italian farms equipped with automatic milking systems (AMS). A total of 323 cows were evaluated biweekly for LS and BCS over 7 mo. The AMS data (n = 42,569 observations) were collected and analyzed with linear mixed models to assess relationships between LS and milking parameters. Multiple correspondence analysis was performed to explore variable associations, and a machine learning model (extreme gradient boosting) was trained to classify cows into 3 lameness classes. Cows in parity 3 or greater and thin cows showed significantly higher LS. Severely lame cows had reduced daily milk yield, fewer milkings per day, longer milking duration, and delayed milk flow, particularly in rear quarters. The machine learning algorithm, based on milking and cow-level features, achieved a balanced accuracy of 92% in classifying cows as nonlame, mildly lame, or severely lame. Shapley values revealed that BCS, parity, milk flow, and milking frequency were key predictive features. These findings confirm the potential of AMS and BCS data to support early detection of lameness. Integrating these data and machine learning offered an efficient approach to lameness monitoring without additional equipment.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145899083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the world's population expected to reach 9 billion by 2050, there are growing concerns about the increasing inclusion of human-edible (HE) feedstuffs in the diets of ruminant livestock. Two experiments (a smaller scale study involving late lactation cows and a larger scale study involving early lactation cows) examined the impact of varying the human-edible fraction (HEF) of the concentrate on the performance of dairy cows offered grass silage-based diets. Changes in HEF were achieved by replacing the cereal and soybean meal component of the concentrate with byproduct feed ingredients, including sugar beet pulp, rapeseed meal, and distillers dark grains. The ingredient composition of the concentrates offered was similar in both experiments. Experiment 1, a 2-treatment, 2-period (duration of 4 wk each) balanced changeover design experiment involved 20 mid lactation Holstein dairy cows (mean 157 DIM, SD 7.0). Diets were offered as a total mixed ration comprising grass silage and concentrates (65:35 DM ratio), with the concentrate component of the diet having either a low HEF (0.18HE) or a high HEF (0.54HE) on a fresh basis. In experiment 2, 32 early lactation Holstein cows (mean 50 DIM, SD 4.9) were used in a 3-period (4-wk duration) partial Latin square design study. Cows were offered grass silage supplemented with one of 4 concentrate types (12 kg/d) differing in the proportions of HE ingredients which were offered via an out-of-parlor feeding system. The HEF of these concentrates were 0.17, 0.28, 0.38, and 0.48 (fresh basis). Reducing the HEF of the concentrate in experiment 1 increased total DMI and milk yield and decreased milk fat and protein concentration, but had no effect on ECM yield. Decreasing the HEF of the concentrate had no effect on total feed conversion rate but improved edible food conversion rate (eFCR), (daily HE feed output per daily HE input), and net food production (NFP; daily HE feed output - daily HE input). In experiment 2, reducing the HEF of the concentrate tended to decrease feed intake, but increased milk yield and ECM yield. Decreasing the HEF of the concentrate had no effect on either milk fat or protein concentration but increased both milk fat and protein yield. Reductions in the HEF of the concentrate resulted in a linear decrease in the total SFA concentration of milk and a linear increase in the MUFA and PUFA content of milk. Total DM and OM digestibility coefficients showed a linear increase with increases in the HEF in the concentrate. Cows offered concentrate with a lower HEF had a higher eFCR and NFP. In conclusion, reducing the HEF of the concentrate component of grass silage-based diets by replacing cereals and soybean meal with byproduct feeds effectively improved human-edible feed conversion efficiency.
{"title":"Effects of varying the human-edible fraction of concentrates offered on dairy cow performance and nutrient utilization.","authors":"A Cushnahan, A W Gordon, D E Lowe, C P Ferris","doi":"10.3168/jds.2025-27281","DOIUrl":"https://doi.org/10.3168/jds.2025-27281","url":null,"abstract":"<p><p>With the world's population expected to reach 9 billion by 2050, there are growing concerns about the increasing inclusion of human-edible (HE) feedstuffs in the diets of ruminant livestock. Two experiments (a smaller scale study involving late lactation cows and a larger scale study involving early lactation cows) examined the impact of varying the human-edible fraction (HEF) of the concentrate on the performance of dairy cows offered grass silage-based diets. Changes in HEF were achieved by replacing the cereal and soybean meal component of the concentrate with byproduct feed ingredients, including sugar beet pulp, rapeseed meal, and distillers dark grains. The ingredient composition of the concentrates offered was similar in both experiments. Experiment 1, a 2-treatment, 2-period (duration of 4 wk each) balanced changeover design experiment involved 20 mid lactation Holstein dairy cows (mean 157 DIM, SD 7.0). Diets were offered as a total mixed ration comprising grass silage and concentrates (65:35 DM ratio), with the concentrate component of the diet having either a low HEF (0.18HE) or a high HEF (0.54HE) on a fresh basis. In experiment 2, 32 early lactation Holstein cows (mean 50 DIM, SD 4.9) were used in a 3-period (4-wk duration) partial Latin square design study. Cows were offered grass silage supplemented with one of 4 concentrate types (12 kg/d) differing in the proportions of HE ingredients which were offered via an out-of-parlor feeding system. The HEF of these concentrates were 0.17, 0.28, 0.38, and 0.48 (fresh basis). Reducing the HEF of the concentrate in experiment 1 increased total DMI and milk yield and decreased milk fat and protein concentration, but had no effect on ECM yield. Decreasing the HEF of the concentrate had no effect on total feed conversion rate but improved edible food conversion rate (eFCR), (daily HE feed output per daily HE input), and net food production (NFP; daily HE feed output - daily HE input). In experiment 2, reducing the HEF of the concentrate tended to decrease feed intake, but increased milk yield and ECM yield. Decreasing the HEF of the concentrate had no effect on either milk fat or protein concentration but increased both milk fat and protein yield. Reductions in the HEF of the concentrate resulted in a linear decrease in the total SFA concentration of milk and a linear increase in the MUFA and PUFA content of milk. Total DM and OM digestibility coefficients showed a linear increase with increases in the HEF in the concentrate. Cows offered concentrate with a lower HEF had a higher eFCR and NFP. In conclusion, reducing the HEF of the concentrate component of grass silage-based diets by replacing cereals and soybean meal with byproduct feeds effectively improved human-edible feed conversion efficiency.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145899102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}