Journal of Dairy Science最新文献

{"title":"Genomic evaluation for juvenile mortality including causal variants in French Holstein and Montbéliarde cattle breeds.","authors":"Léa Chapard, Florian Besnard, Thierry Tribout, Sophie Aguerre, Clémentine Escouflaire, Hélène Leclerc, Sébastien Fritz, Sophie Mattalia, Aurélien Capitan, Pascal Croiseau","doi":"10.3168/jds.2025-27072","DOIUrl":"https://doi.org/10.3168/jds.2025-27072","url":null,"abstract":"<p><p>Juvenile mortality is a major concern for the dairy cattle industry because of its wide-ranging economic, environmental, and ethical effects. Over the last few years, an increased number of genetic defects associated with juvenile mortality has been identified, creating new opportunities and challenges for their management in selection. The implementation of a routine genomic evaluation may therefore contribute to reducing juvenile mortality. However, no existing method currently includes causal variants and incorporates their additive and dominance effects in a single-step GBLUP (ssGBLUP) model. This study was conducted on 2 French dairy breeds: Holstein (HOL) and Montbéliarde (MON), both of which are affected by known recessive genetic defects (bovine lymphocyte intestinal retention defect and cholesterol deficiency in HOL, and mitochondropathy in MON). In this study, we first estimated genetic parameters for juvenile mortality. Second, we developed ssGBLUP models that included causal variants, either by assigning higher proportions of genetic variance explained a priori by the causal variants or by estimating and incorporating causal variants' additive and dominance effects as covariates. Third, we evaluated the models' performance to select the most accurate one for genomic evaluation. To this end, 2 independent training and validation datasets were constructed. The training dataset included juvenile mortality records for 1,275,746 HOL and 476,361 MON females, of which 84,328 HOL and 29,944 MON were genotyped. Models were validated using mortality records of 689,502 HOL and 149,801 MON daughters of 262 and 254 genotyped bulls, respectively. No difference in model performance was seen at the population level. However, at the individual level, heterozygous bulls for the causal variants were more accurately distinguished from wild type homozygous when using EBVs obtained from models that included causal variants compared with a conventional ssGBLUP. We therefore advocate the routine implementation of a genomic evaluation that accounts for causal variants to help reduce juvenile mortality. A genotyping effort for dead animals is also suggested because it would enhance model performance. Additionally, further research is needed to determine the most effective method for incorporating causal variants into ssGBLUP models and to assess whether their inclusion improves the model's prediction accuracy.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224593","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}

{"title":"Optimization of single- and dual-cycle high pressure processing (HPP) to process bovine milk for microbial safety and protein quality.","authors":"Rudy Sykora, Bishal Barman, Hussein M H Mohamed, Austin Lowder, Bruna Pavani, Josiah Pagel, Andria Slaughter, Samuel Mosier, Daniela Barile, Joy Waite-Cusic, David C Dallas","doi":"10.3168/jds.2025-27003","DOIUrl":"https://doi.org/10.3168/jds.2025-27003","url":null,"abstract":"<p><p>Bovine milk is a nutritionally rich fluid containing bioactive proteins that support immune function and growth. Traditional thermal pasteurization (72°C for >15 s) ensures microbial safety but degrades heat-sensitive proteins. High-pressure processing (HPP) offers a nonthermal alternative for microbial reduction, yet its effect on protein structure, particularly under applications of multiple pressure cycles, remains underexplored. This study aimed to evaluate the effectiveness of single- and dual-cycle HPP treatments for bacterial inactivation and protein preservation in whole bovine milk and to compare these results with the industry standard-high-temperature, short-time (HTST) processing. Raw bovine milk samples were inoculated with vegetative pathogens (Listeria monocytogenes, Staphylococcus aureus) or spores (Bacillus cereus, Bacillus subtilis) and treated with varying HPP conditions (350-600 MPa; 4-12 min, at 30°C, for single or dual cycles). Microbial reduction was assessed by standard plate count. Whey protein retention (lactoferrin [LF], IgA, IgG, IgM) was quantified using ELISA and compared with HTST and raw milk controls. Dual-cycle HPP treatments significantly enhanced bacterial reduction compared with single-cycle time equivalents for S. aureus and B. subtilis, but not for L. monocytogenes or B. cereus. Treatments for S. aureus demonstrated 0.6 to 2.5 log reduction increases from single to dual cycles at pressures of 350 to 600 MPa. Although no tested treatments achieved >5-log reductions in sporulated B. subtilis, dual-cycles increased reductions by 1.2 log compared with single-cycle time equivalents. Several conditions achieved >5-log reductions for vegetative pathogens, including 600 MPa, 12 min, single cycle; 550 and 600 MPa, 4 min dual cycle, and 550 and 600 MPa, 6 min, dual-cycle. However, all HPP treatments led to substantial degradation of immunological proteins, particularly LF (53%-84% reduction), IgA (86%-95% reduction), and IgM (81%-98% reduction), with protein retention decreasing as pressure and cycle time increased. High-temperature, short-time processing preserved higher levels of native protein structure across all treatments.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224603","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}

{"title":"Monitoring colostrum harvesting and distribution equipment cleanliness with ATP luminometry before and after recommendations to improve hygiene practices in French dairy farms.","authors":"Sandrine Trudeau, Clara Bourel-Conroy, Pauline Hérambert, Raphaël Guatteo, Sébastien Buczinski","doi":"10.3168/jds.2025-26832","DOIUrl":"https://doi.org/10.3168/jds.2025-26832","url":null,"abstract":"<p><p>This observational study evaluated the effects of practical hygiene recommendations on cleanliness and bacterial contamination of equipment used to harvest and feed colostrum on 8 French dairy farms. The study was conducted in 2 phases: before (phase 1) and after (phase 2) the implementation of farm-specific recommendations. During each phase, equipment cleanliness (e.g., robot-compatible buckets, milking buckets, transfer buckets, bottles, nipples, nipple buckets, drenchers, and esophageal tube feeders [ET]) was assessed using ATP luminometry (through direct surface [ATP-S] and rinsing liquid [ATP-L] swabbing, expressed in relative light units [RLU]), visual scoring, and culture-based bacteriological analysis. Fresh colostrum samples were also collected and analyzed during each phase. A self-reported questionnaire administered during phase 1 identified critical control points for colostrum contamination, which informed the formulation of practical hygiene recommendations. Contamination thresholds were defined as ≥100,000 cfu/mL for total bacterial count (TBC) and ≥10,000 cfu/mL for total coliform count (TCC). Hygiene practices related to the operator, cow teats, and equipment varied considerably among farms, as did adherence to the recommended practices. Overall, lower RLU values were recorded on equipment surfaces during phase 2 compared with phase 1 (ATP-L: -1.51 log [±0.24], P < 0.001; ATP-S: -1.15 log [±0.24], P < 0.001). These reductions were associated with good operator hygiene practices and the use of brand-new equipment. Lower levels of contamination of colostrum samples were found in phase 2 (TBC: -0.92 log [±0.19], P < 0.001; TCC: -1.14 log [±0.30], P < 0.001), associated with good operator hygiene practices. Significant correlations (Spearman's rho, r_s) were observed between visual cleanliness scores and RLU values from both swabbing techniques, as well as between ATP-L RLU values and bacterial counts (TBC: r_s = 0.744, 95% CI: 0.556-0.859, P < 0.0001; TCC: r_s = 0.475, 95% CI: 0.183-0.690, P < 0.002). Based on ATP-L swab results, optimal luminometry cutpoints maximizing (sensitivity + specificity) were identified at ≥6,950 RLU (sensitivity: 79.17%; specificity: 100%) for TBC, and ≥11,912 RLU (sensitivity: 88.89%; specificity: 70.97%) for TCC. This study demonstrates that targeted hygiene improvements can significantly reduce both equipment surface and colostrum bacterial contamination and support the use of ATP luminometry as a practical tool for hygiene monitoring on dairy farms.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224596","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}

{"title":"Predicting postpartum diseases in Holstein cows using milk spectra and machine learning-Retrospective assessment from diagnosis date.","authors":"D Lin, J Li, J A Seminara, J A A McArt","doi":"10.3168/jds.2024-26216","DOIUrl":"https://doi.org/10.3168/jds.2024-26216","url":null,"abstract":"<p><p>Dairy cows commonly experience health disorders in the early-lactation period. Although Fourier-transform infrared (FTIR) spectroscopy offers a noninvasive and cost-effective method for analyzing milk composition, its potential in predicting subsequent early-lactation diseases has yet to be adequately explored. This study aimed to uncover the ability of milk FTIR spectra to predict postpartum diseases in 1,162 Holstein cows from a commercial dairy farm in Cayuga County, NY. We collected proportional milk samples daily on cows in the early-lactation pen and stored milk at 4°C until analysis via FTIR spectroscopy. Cows were monitored through 30 DIM and classified as healthy (n = 825; no adverse health events) or diseased (n = 311; diagnosis of clinical ketosis, metritis, displaced abomasum, or mastitis, or any combination of these). We developed predictive models for 8 distinct time periods preceding the diagnosis date (>10 d, 10-8 d, 7-6 d, 5-4 d, 3 d, 2 d, 1 d, and 0 d), using regression, machine learning, and deep-learning methods applied to milk FTIR spectral data. Model performance was evaluated through a repeated down-sampled double cross-validation framework and permutation tests. Our results showed that progressive changes in spectral regions related to the absorbance peaks of fat, protein, and lactose are correlated with disease progression, leading to an increase in average area under the receiver operating characteristic curve (AUROC) from 0.50 (>10 d before diagnosis) to 0.72 (1 d prior) and 0.76 (the day of diagnosis) across all model types. Partial least squares-discriminant analysis (PLS-DA) models using milk FTIR spectra achieved an average AUROC of 0.71 from 7 d before diagnosis, outperforming models based on cow-level features (0.62) or combined with spectra-predicted milk major components (0.67). Among spectral models, PLS-DA reached the highest average AUROC (0.74), followed by long short-term memory (0.72), and surpassed ridge regression (0.71) and random forest (0.69). These findings highlight the effectiveness of using milk FTIR spectra to predict upcoming health conditions in early-lactation Holstein dairy cows, although broader evaluation is necessary to assess generalizability and on-farm utility.</p>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224622","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}

{"title":"Effects of methane inhibitors on ruminal fermentation and microbial composition in vitro using inoculum from phenotypically high- and low-enteric-methane-emitting cows","authors":"N. Stepanchenko ,&nbsp;D.E. Wasson ,&nbsp;N. Indugu ,&nbsp;S.F. Cueva ,&nbsp;L. Martins ,&nbsp;K. Narayan ,&nbsp;D.W. Pitta ,&nbsp;A.N. Hristov","doi":"10.3168/jds.2025-26408","DOIUrl":"10.3168/jds.2025-26408","url":null,"abstract":"&lt;div&gt;&lt;div&gt;The objective of this study was to investigate the interaction of ruminal inoculum type (obtained from high- or low-CH&lt;sub&gt;4&lt;/sub&gt;-emitting-phenotype cows) and potent antimethanogenic compounds (AMC), including bromoform (CHBr&lt;sub&gt;3&lt;/sub&gt;), 3-nitropropionic acid (3NPA), chloroform, and &lt;em&gt;Rhodophyta macroalga&lt;/em&gt; (RM) on in vitro gas production, ruminal fermentation, and microbial composition parameters. Sixty-eight mid-lactation Holstein cows were initially screened for their enteric CH&lt;sub&gt;4&lt;/sub&gt; emissions. Out of these 68 cows, 2 were designated as high- (HM, 24.8 ± 0.05 g CH&lt;sub&gt;4&lt;/sub&gt;/kg of DMI&lt;strong&gt;)&lt;/strong&gt; and 2 as low- (LM, 14.8 ± 0.45 g CH&lt;sub&gt;4&lt;/sub&gt;/kg of DMI) CH&lt;sub&gt;4&lt;/sub&gt; emitters. These cows were used as inoculum donors for the in vitro experiment. In vitro batch-culture incubations were carried out for 24 h. The experiment was a 2 × 5 factorial arrangement design with inoculum and inhibitor treatments as independent variables and their interaction included in the model. For gas production parameters, the AMC × inoculum type (INOC) interactions were significant for total gas production, CH&lt;sub&gt;4&lt;/sub&gt; yield (g/mg of TMR), and CH&lt;sub&gt;4&lt;/sub&gt; concentration in total gas. The low-CH&lt;sub&gt;4&lt;/sub&gt; inoculum (LMI) resulted in similar CH&lt;sub&gt;4&lt;/sub&gt; concentration in total gas as the high-CH&lt;sub&gt;4&lt;/sub&gt; inoculum (HMI) for the negative control treatment (TMR + LMI or HMI inoculum with no AMC added). Total gas production was 21% lower for HMI when compared with LMI, regardless of the treatment. Acetate and propionate molar proportions and their ratio also had a significant AMC × INOC interaction in the current study. The inclusion of all AMC resulted in a decrease in acetate and an increase in propionate and butyrate molar proportions. Of the studied inhibitors, 3NPA tended to result in a greater CH&lt;sub&gt;4&lt;/sub&gt; reduction, reduced acetate, and increased propionate concentrations when combined with LMI, rather than with HMI. A macroalgae inhibitor in combination with HMI, but not LMI, resulted in lower CH&lt;sub&gt;4&lt;/sub&gt; and higher propionate concentration. Both LMI inoculum and inclusion of each AMC resulted in increased butyrate molar proportions. There was no significant INOC × AMC interaction for estimates of methanogenic activity of methanogenic archaea. Inoculum from low-CH&lt;sub&gt;4&lt;/sub&gt;-phenotype cows resulted in higher gene copy number of &lt;em&gt;Methanobrevibacter ruminantium&lt;/em&gt; and &lt;em&gt;Methanosphaera stadtmanae.&lt;/em&gt; In the bacterial community, 22 taxa had a significant interaction with INOC. Each AMC differentially affected methanogens and individual bacteria, altering H&lt;sub&gt;2&lt;/sub&gt; fluxes. Regardless of the inoculum, CHBr&lt;sub&gt;3&lt;/sub&gt; and 3NPA altered both methanogenic and bacterial communities to a greater extent than the rest of the AMC. The combination of LMI with 3NPA and HMI with RM resulted in a greater CH&lt;sub&gt;4&lt;/sub&gt; reduction than HMI with 3NPA and LMI with RM, indicating that a different AMC may be more effective in ","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":"108 10","pages":"Pages 10746-10765"},"PeriodicalIF":4.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157100","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}

{"title":"Corrigendum to “Lactational performance of dairy cows fed diets based on corn silages varying in ruminal degradability of starch and fiber” (J. Dairy Sci. 108:5765–5785)","authors":"S.F. Cueva ,&nbsp;L.F. Martins ,&nbsp;N. Stepanchenko ,&nbsp;D.E. Wasson ,&nbsp;Greg W. Roth ,&nbsp;A.N. Hristov","doi":"10.3168/jds.2025-108-10-11707","DOIUrl":"10.3168/jds.2025-108-10-11707","url":null,"abstract":"","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":"108 10","pages":"Pages 11707-11708"},"PeriodicalIF":4.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157285","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}

{"title":"Interpretive Summaries, October 2025","authors":"","doi":"10.1016/S0022-0302(25)00775-1","DOIUrl":"10.1016/S0022-0302(25)00775-1","url":null,"abstract":"","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":"108 10","pages":"Pages ix-xix"},"PeriodicalIF":4.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157101","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}

{"title":"Erratum to “Incidence and timing of pregnancy loss following timed artificial insemination or timed embryo transfer with a fresh or frozen in vitro-produced embryo” (J. Dairy Sci. 108:1022–1038)","authors":"A.D. Crowe ,&nbsp;J.M. Sánchez ,&nbsp;S.G. Moore ,&nbsp;M. McDonald ,&nbsp;M.S. McCabe ,&nbsp;F. Randi ,&nbsp;P. Lonergan ,&nbsp;S.T. Butler","doi":"10.3168/jds.2025-108-10-11709","DOIUrl":"10.3168/jds.2025-108-10-11709","url":null,"abstract":"","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":"108 10","pages":"Pages 11709-11711"},"PeriodicalIF":4.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157292","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}

{"title":"Evaluation of ruminal outflow of protein and nitrogen fractions, and total and individual essential amino acid predictions, by nutritional models in dairy cattle","authors":"L.F. Martins ,&nbsp;C.V. Almeida ,&nbsp;Y. Kim ,&nbsp;R.A. Patton ,&nbsp;A.N. Hristov","doi":"10.3168/jds.2025-26375","DOIUrl":"10.3168/jds.2025-26375","url":null,"abstract":"<div><div>The objective was to evaluate the fit statistics for the predictions of ruminal outflow of protein fractions and EAA by the NRC, National Academies of Sciences, Engineering, and Medicine (NASEM), Cornell Net Carbohydrate and Protein System (CNCPS), and NittanyCow (NC) models in lactating dairy cows. Sixty-seven studies published in English between 1984 and 2020 with 251 treatment means were used for analysis. Lactational performance (DMI, DIM, milk yield, milk fat and true protein, and BW data), dietary nutrient composition (CP, NDF, ether extract, and ash), and ruminal outflow of total AA, microbial N, nonammonia nonmicrobial N, and individual EAA determined by omasal or duodenal digesta-sampling techniques were extracted from publications and used in the analysis when available. Production and dietary nutrient composition data reported in the studies were used as inputs to predict ruminal outflows of those same variables using NRC, NASEM, CNCPS, and NC models. For all nutritional models, dietary concentration (% DM) of CP was identical or allowed to vary by 0.5 percentage units maximum to that reported in the studies. Fit statistics and performances of nutritional models were assessed using Lin's concordance correlation coefficient (CCC), root mean squared error (RMSE, g/d and % of observed), as well as mean and linear biases. Models performed similarly when predicting ruminal total AA outflow, with CCC ranging from 49% to 57% and RMSE ranging from 19% to 30% of observed. Predictions of ruminal microbial CP (MicP) and nonammonia nonmicrobial CP (NANMCP) outflows had CCC ranging from 43% to 60% and RMSE ranging from 24% to 34% of observed. Predictions of Lys, Met, and His had CCC ranging from 38% to 62% and RMSE ranging from 23% to 40% observed. Overall, model-fit statistics indicated superior performance of NRC, NASEM, and NC in predicting all individual EAA outflows compared with CNCPS (except for Leu in NC). NittanyCow and NASEM, respectively, demonstrated superior performance in predicting total AA compared with NCR and CNCPS. Additionally, NC was superior to NRC and NASEM, which in turn were superior to CNCPS, in predicting ruminal MicP outflow. Both NRC and NC were superior to NASEM and CNCPS in predicting ruminal NANMCP outflow. The NASEM model was outperformed by NRC, CNCPS, and NC in predicting ruminal nonammonia N outflow. Mean and observed biases of concern (i.e., &gt;5.0% of observed) were identified across all models, and these biases should be considered by nutritionists when balancing and evaluating rations targeting individual EAA in high-producing dairy cows.</div></div>","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":"108 10","pages":"Pages 10900-10920"},"PeriodicalIF":4.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157362","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}

{"title":"Corrigendum to “Invited review: A review of some commonly used meta-analysis methods in dairy science research” (J. Dairy Sci. 108:2115–2132)","authors":"R.J. Tempelman","doi":"10.3168/jds.2025-108-10-11712","DOIUrl":"10.3168/jds.2025-108-10-11712","url":null,"abstract":"","PeriodicalId":354,"journal":{"name":"Journal of Dairy Science","volume":"108 10","pages":"Page 11712"},"PeriodicalIF":4.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157143","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}