Identification of culling reasons, intervals, and risk factors by postpartum period classification in dairy farms.

IF 2.5 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Hyun-Gu Kang, Jae-Kwan Jeong, Kim Ill-Hwa
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引用次数: 0

Abstract

Objective: This study aimed to identify the reasons, intervals, and risk factors in Korean dairy farms where cows produce large volumes of milk under challenging conditions.

Methods: A total of 11,361 calving datasets were analyzed to determine culling reasons and intervals, and the factors affecting culling risk. The postpartum period was classified into three categories: within 60 days (Period 1), between 61 and 210 days (Period 2), and beyond 210 days (Period 3) postpartum.

Results: The culling rates were 7.4% in Period 1, 8.5% in Period 2, and 11.3% in Period 3, totaling 27.2%. The main reasons for culling were infertility, mastitis, voluntary causes, peripartum disorders, and other health problems. Culling due to infertility (333 days), mastitis (142 days), or other health problems (129 days) was associated with longer median calving-to-culling intervals, whereas culling due to peripartum disorders (19 days) had shorter intervals compared to voluntary culling (101 days, p < 0.0001). Cows with a higher body condition score (BCS) (≥3.75) at dry-off were more likely to be culled in Period 1 (odds ratio [OR]: 1.83, p < 0.0001) than those with a BCS of 3.5. In period 1, cows with a BCS increase between dry-off and calving had a lower likelihood of culling (OR: 0.65) than cows with no BCS change, while those with a BCS decrease had a higher likelihood of culling (OR: 1.29) in Period 2 (p < 0.05). Cows with peripartum disorders were more likely to be culled throughout all periods (p < 0.01) than cows without disorders. The probability of culling increased (p < 0.0001) with higher parity across all periods.

Conclusion: Preventing high BCS at dry-off and BCS reduction during the dry period, minimizing the incidence of peripartum disorders and other health problems, and improving reproductive efficiency can help reduce involuntary culling.

在奶牛场通过产后期分类识别扑杀原因、间隔和危险因素。
目的:本研究旨在确定韩国奶牛在具有挑战性的条件下生产大量牛奶的奶牛场的原因、间隔和风险因素。方法:对11361组产犊数据进行分析,确定扑杀原因、扑杀间隔以及影响扑杀风险的因素。产后阶段分为产后60天以内(第一阶段)、61 ~ 210天(第二阶段)、210天以上(第三阶段)三种。结果:第1期扑杀率为7.4%,第2期为8.5%,第3期为11.3%,合计27.2%。扑杀的主要原因是不孕、乳腺炎、自愿原因、围产期疾病和其他健康问题。不育(333天)、乳腺炎(142天)或其他健康问题(129天)导致的淘汰与产犊至淘汰的中位数间隔较长相关,而围产期疾病(19天)导致的淘汰与自愿淘汰相比间隔较短(101天,p < 0.0001)。干脱期体况评分(BCS)≥3.75的奶牛比BCS为3.5的奶牛更有可能被淘汰(比值比[OR]: 1.83, p < 0.0001)。在第1阶段,枯干至产犊期间BCS升高的奶牛被淘汰的可能性低于BCS未变化的奶牛(OR: 0.65),而BCS降低的奶牛在第2阶段被淘汰的可能性较高(OR: 1.29) (p < 0.05)。围生期疾病奶牛全期被淘汰的可能性高于无疾病奶牛(p < 0.01)。在所有时期,随着奇偶性的提高,剔除的概率增加(p < 0.0001)。结论:预防干枯期BCS高,干枯期BCS降低,减少围产期疾病等健康问题的发生,提高生殖效率,有助于减少非自愿扑杀。
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
Animal Bioscience
Animal Bioscience AGRICULTURE, DAIRY & ANIMAL SCIENCE-
CiteScore
5.00
自引率
0.00%
发文量
223
审稿时长
3 months
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