Retrospective analysis of calving interval data from seasonal-calving pasture-based New Zealand dairy herds

IF 2.4
JDS communications Pub Date : 2026-08-01 Epub Date: 2026-02-19 DOI:10.3168/jdsc.2025-0942
Laura Beasley, Krispin Kannan, Greg Chambers
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引用次数: 0

Abstract

This retrospective cross-sectional study described calving intervals (CIV) for spring-calving New Zealand dairy farms, evaluated the effects of cow-related factors, and investigated potential associations between CIV and future reproductive performance. Individual cow data were extracted from a veterinary dairy herd database for farms with at least 2 yr of data between June 2019 and May 2023. For the CIV analysis, observations were excluded from male animals, with >1 recorded calving event for a cow in a season, without a CIV, if the cow was born after June 1, 2020, or if CIV was <300 d. A descriptive analysis of CIV data was carried out, then herds with alternative calving patterns, cows that calved outside spring, and cows that had 2 consecutive calvings that skipped one or more seasons (carry-over cows) were excluded from the CIV analysis. A mixed multivariable linear regression model was constructed to evaluate associations between CIV and potential explanatory variables (age, breed, dairy season, and milk yield). A separate dataset was constructed to evaluate effect of CIV on odds of future reproductive success (a recorded calving event in the subsequent spring calving season). The same inclusion criteria were applied as for the analysis of CIV, except cows with only 2 dairy seasons of data or born after June 1, 2019, were excluded but carry-over cows were included. A mixed multivariable generalized linear regression model was constructed to evaluate associations between odds of reproductive success and the potential explanatory variables of previous CIV, age, breed, season, and mean milk solids yield. Mean (SD) CIV was 368.8 (23.96) d for spring-calving herds, compared with 381.9 (53.6) d for herds with alternative calving patterns. Calving intervals were longer for herds that carried some cows over between seasons (mean [SD] 376.3 [58.3] d) compared with herds that did not (mean [SD] 366 [23] d). The regression model confirmed that mean CIV varied between seasons, was shorter for cows with higher milk production, and the interval between first and second calvings was 7 d longer than the interval between subsequent calvings. Most variation in CIV occurred within the herd at the cow-season level. Probability of reproductive success (adjusted for age, season, and milk production) declined with CIV. When averaged across farms, age groups, seasons, and milk production, the predicted probability of a successful mating declined from 0.69 (95% CI = 0.66–0.72) at a CIV of 357 d, to 0.05 (95% CI = 0.03–0.07) at 538 d. Calving intervals could potentially be used to identify animals at higher risk of reproductive failure within seasonal-calving dairy herds. However, causal inferences are limited by the retrospective study design and limited information available. In seasonal-calving systems, CIV is closely linked to calving date, so prospective studies explicitly adjusting for calving date are warranted and we interpret CIV primarily as a timing-influenced, operational indicator that complements calving date for within-herd screening rather than a standalone causal determinant.
新西兰牧场季节性产犊牛群产犊间隔数据的回顾性分析
这项回顾性横断面研究描述了新西兰奶牛场春季产犊的产犊间隔(CIV),评估了奶牛相关因素的影响,并调查了CIV与未来繁殖性能之间的潜在关联。从2019年6月至2023年5月期间至少有2年数据的农场的兽医奶牛群体数据库中提取个体奶牛数据。对于CIV分析,排除了对雄性动物的观察结果,如果母牛在2020年6月1日之后出生,或者如果CIV为300 d,则在一个季节中记录了一头母牛的产犊事件,没有CIV。对CIV数据进行了描述性分析,然后将具有替代产犊模式的牛群,在春季以外产犊的奶牛以及连续两次产犊跳过一个或多个季节的奶牛(结转奶牛)排除在CIV分析之外。构建了一个混合多变量线性回归模型来评估CIV与潜在解释变量(年龄、品种、奶牛季节和产奶量)之间的关系。构建了一个单独的数据集来评估CIV对未来繁殖成功几率的影响(在随后的春季产犊季节记录产犊事件)。采用与CIV分析相同的纳入标准,但排除了只有2个奶牛季节数据或在2019年6月1日之后出生的奶牛,但纳入了结转奶牛。构建了一个混合多变量广义线性回归模型,以评估繁殖成功率与先前文明、年龄、品种、季节和平均乳固体产量等潜在解释变量之间的关系。春季产犊的平均(SD) CIV为368.8 (23.96)d,而不同产犊方式的平均(SD) CIV为381.9 (53.6)d。在不同季节之间携带一些奶牛的牛群的产犊间隔(平均[SD] 376.3 [58.3] d)比没有携带奶牛的牛群(平均[SD] 366 [23] d)更长。回归模型证实,平均CIV随季节变化,产奶量高的奶牛较短,第一次和第二次产犊的间隔时间比后续产犊的间隔时间长7 d。CIV的大部分变异发生在牛季水平的牛群中。繁殖成功率(根据年龄、季节和产奶量调整)随文明程度而下降。当对农场、年龄组、季节和产奶量进行平均时,预测交配成功的概率从CIV为357 d时的0.69 (95% CI = 0.66-0.72)下降到538 d时的0.05 (95% CI = 0.03-0.07)。产犊间隔可能用于识别季节性产犊奶牛群中生殖失败风险较高的动物。然而,因果推论受到回顾性研究设计和有限信息的限制。在季节性产犊系统中,CIV与产犊日期密切相关,因此明确调整产犊日期的前瞻性研究是有必要的,我们将CIV主要解释为受时间影响的操作指标,它补充了产犊日期,用于群体内筛选,而不是单独的因果决定因素。
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
JDS communications
JDS communications Animal Science and Zoology
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