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Cows are typically milked 2 or more times on a test-day, but not all these milkings are sampled and weighed. The initial approach estimated a test-day yield with doubled morning (AM) or evening (PM) yield in the AM-PM milking plans, assuming equal AM and PM milking intervals. However, AM and PM milking intervals can vary, and milk secretion rates may be different between day and night. Statistical methods have been proposed to estimate daily yields in dairy cows, focusing on various yield correction factors in 2 broad categories: additive correction factors (ACF) and multiplicative correction factors (MCF). The ACF are evaluated by the average differences between AM and PM milk yield for various milking interval classes, coupled with other categorical variables. We show that an ACF model is equivalent to a regression model of daily yield on categorical regressor variables, and a continuous variable for AM or PM yield with a fixed regression coefficient of 2.0. Similarly, a linear regression model can be implemented as an ACF model with the regression coefficient for AM or PM yield estimated from the data. The linear regression models improved the accuracy of the estimates compared with the ACF models. The MCF are ratios of daily yield to yield from single milkings, but their statistical interpretations vary. Overall, MCF were more accurate for estimating daily milk yield than ACF. The MCF have biological and statistical challenges. Systematic biases occurred when ACF or MCF were computed on discretized milking interval classes, leading to accuracy loss. An exponential regression model was proposed as an alternative model for estimating daily milk yields, which improved the accuracy. Characterization of ACF and MCF showed how they improved the accuracy compared with doubling AM or PM yield as the daily milk yield. All the methods performed similarly with equal AM and PM milkings. The methods were explicitly described to estimate daily milk yield in AM and PM milking plans. Still, the principles generally apply to cows milked more than 2 times a day and apply similarly to the estimation of daily fat and protein yields with some necessary modifications.
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http://dx.doi.org/10.3168/jdsc.2022-0230 | DOI Listing |
J Anim Sci
September 2025
Department of Animal Sciences, Laval University, Québec, QC G1V 0A6, Canada.
In pig production, weaning is a critical period where piglets face several environmental stressors. This transition leads to a significant growth reduction and can result in digestive disorders, including diarrhea. To formulate a feed that meets zinc (Zn) and copper (Cu) requirements during the weaning period while minimizing their release into the environment, it became evident that a more bioavailable micro-mineral supplement is necessary.
View Article and Find Full Text PDFJ Dairy Sci
September 2025
Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China; Institute of Animal Nutrition and Feed Science, Guizhou University, Guiyang, 550025, Guizhou, China. Elec
Buckwheat is a common straw crop that contains an abundance of flavonoids and could be used as an antioxidant additive in animal diets. In this study, the effects of a commercial buckwheat rhizome flavonoid extract (BRFE) on milk production, plasma pro-oxidant and antioxidant, the ruminal metagenome, and ruminal metabolites in dairy goats were evaluated. Forty healthy, multiparous, nonpregnant Guanzhong dairy goats were blocked by DIM (122 ± 5.
View Article and Find Full Text PDFJ Dairy Sci
September 2025
Department of Ruminant Science, Institute of Animal Sciences, The Volcani Institute, Rishon LeZion 7505101, Israel. Electronic address:
Several factors influence the effectiveness of forage in ruminant rations, including NDF content and the physical nature, fragility, digestibility, and more of the forage. Recently, several studies suggested using the undigestible NDF (uNDF) fraction as a possible approach to achieve a more precise ration. The objective of the current study was to reduce the forage content of the diet by using the in vitro forage uNDF for diet formulation and to determine the effects on production, rumen environment, and digestibility.
View Article and Find Full Text PDFJ Dairy Sci
September 2025
Department of Animal Sciences, University of Illinois, Urbana, IL 61801. Electronic address:
This experiment was conducted to determine the effects of feeding rumen-protected Met (RPM; KESSENT M, Kemin Industries Inc., Des Moines, IA) and rumen-protected Lys (RPL; LysiGEM, Kemin Industries Inc., Des Moines, IA) prepartum at the same AA-to-ME ratio (3.
View Article and Find Full Text PDFPrev Vet Med
August 2025
Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, viale dell'Università 16, Legnaro 35020, Italy.
Good welfare supports dairy herd health, enhances milk production and quality, and offers financial incentives for farmers committed to animal welfare. In Italy, the ClassyFarm system assesses dairy herd welfare through the evaluation of farm biosecurity, management, structures, and animal-based measures. Dairy farms with loose housing systems (LHS) and tied housing systems (THS) are evaluated using distinct ClassyFarm checklists, and an algorithm generates an overall welfare score ranging from 0 % (poor welfare) to 100 % (excellent welfare).
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