Body condition score at calving, subclinical ketosis, postpartum body condition score losses, diseases, and fertility in Holstein cows: modelling confounding associations.

IF 1.9 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Veterinary and Animal Science Pub Date : 2025-08-05 eCollection Date: 2025-09-01 DOI:10.1016/j.vas.2025.100493
Pedro Melendez, Julian Bartolome, Gerardo Gonzalez, Gustavo Lastra-Duran, Pablo Pinedo
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Abstract

This study examined the association between energy metabolism-related variables and conception rate at first service (CRFS) in Holstein cows. It focused on identifying confounding relationships among key factors. Data came from a large dairy farm in Coahuila, Mexico. The dataset included 1056 lactations recorded in 2024. Of these, 419 were primiparous and 637 were multiparous cows. Only cows that completed a synchronization protocol and received timed artificial insemination (TAI) were included. A logistic regression model was used to predict CRFS. In the model, body condition score (BCS) at calving and postpartum diseases were not significant when subclinical ketosis (SCK) and BCS loss were included. This suggested confounding effects. Key associations were found: Cows with BCS ≥ 3.75 at calving were 5.55 times more likely to lose ≥ 0.75 BCS units by first breeding than cows with BCS ≤ 3.5. Cows with BCS ≤ 3.5 at calving were 0.45 times as likely to develop SCK compared to cows with BCS ≥ 3.75. Cows with postpartum diseases were 4.42 times more likely to develop SCK than healthy cows. Multicollinearity was observed between postpartum diseases and SCK and between BCS at calving and postpartum BCS loss. The best-fitting model for CRFS included: breeding season, milk yield at week 8 postpartum, parity, SCK, and postpartum BCS loss. SCK and BCS losses, as well as postpartum diseases, were key factors associated with CRFS and were also confounded by BCS at calving.

荷斯坦奶牛产犊时的身体状况评分、亚临床酮症、产后身体状况评分损失、疾病和生育能力:建模混淆关联
本研究探讨了能量代谢相关变量与荷斯坦奶牛初产受孕率的关系。它侧重于确定关键因素之间的混淆关系。数据来自墨西哥科阿韦拉的一家大型奶牛场。该数据集包括2024年记录的1056次哺乳。其中,419头是初产奶牛,637头是多产奶牛。仅包括完成同步方案并接受定时人工授精(TAI)的奶牛。采用logistic回归模型预测CRFS。在模型中,当计入亚临床酮症(SCK)和BCS损失时,产犊和产后疾病时的体况评分(BCS)不显著。这表明了混淆效应。主要关联发现:产犊时BCS≥3.75的奶牛首次繁殖时损失≥0.75 BCS单位的可能性是BCS≤3.5的奶牛的5.55倍。产犊时BCS≤3.5的奶牛发生SCK的可能性是BCS≥3.75的奶牛的0.45倍。产后疾病的奶牛发生SCK的可能性是健康奶牛的4.42倍。产后疾病与SCK、产犊时BCS与产后BCS损失之间存在多重共线性关系。CRFS的最佳拟合模型包括:繁殖季节、产后第8周产奶量、胎次、SCK和产后BCS损失。SCK和BCS损失以及产后疾病是与CRFS相关的关键因素,也与产犊时的BCS相混淆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Veterinary and Animal Science
Veterinary and Animal Science Veterinary-Veterinary (all)
CiteScore
3.50
自引率
0.00%
发文量
43
审稿时长
47 days
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