Meta-analysis to predict the effects of extended lactations on milk production and reproductive performance of dairy cows.

IF 4.7 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Z Tao, J L Ellis, J P Cant, C F Baes, T J DeVries
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引用次数: 0

Abstract

The effects of extended lactation (EXTL) on milk production and reproductive performance of dairy cows were quantified using a meta-analysis approach. A systematic literature review was conducted to identify studies that compared milk yield and reproductive performance between cows managed within EXTL systems and those managed under conventional lactation length, resulting in 21 studies eligible for inclusion in the meta-analysis. Data collected from those studies included calving interval (CInt), voluntary waiting period (VWP), parity, breed, farm type (experimental vs. commercial), and whether cows were selectively assigned to EXTL based on production and cow characteristics or randomly allocated. Corresponding treatment means were extracted for energy-corrected milk yield per calving interval day (ECM/CInt), first service conception rate, and number of inseminations per conception. Mixed-effects models were developed for each outcome, with study as a random effect. The models included CInt as the main predictor for ECM/CInt and VWP for first service conception rate and number of inseminations per conception, along with other covariates that were retained if significant. A separate subgroup analysis was conducted to compare studies using selective versus random assignment to EXTL. The relationship between CInt length and ECM/CInt differed by parity, where each 10-d increase in CInt was associated with a 0.08 kg/d increase in ECM/CInt in primiparous cows, while no effect of CInt length on ECM/CInt was observed in multiparous cows. Selective assignment of multiparous cows to EXTL, based on individual cow characteristics and production traits, tended to be associated with 1.9 kg/d higher ECM/CInt compared with randomized allocation, although production of cows selectively assigned to EXTL was similar to that of conventionally managed cows. In addition, criteria used to identify cows suitable for EXTL were variable between studies, and no consistent or clearly effective selection method could be determined. Reproductive performance improved with extended VWP across parities; each 10-d increase in VWP was associated with a 0.02 unit decrease in inseminations per conception and higher odds of first service conception (1.1 × in multiparous cows and 1.04 × in primiparous cows). Overall, the results of this meta-analysis indicate that EXTL improves measures of reproductive performance in both parity groups and increases ECM/CInt in primiparous cows, whereas the response in milk yield of multiparous cows depends on whether the EXTL strategy was selectively implemented. These results indicate that EXTL, if implemented, should be applied as an individualized rather than a herd-level strategy.

荟萃分析预测延长哺乳期对奶牛产奶量和繁殖性能的影响。
采用荟萃分析方法量化延长泌乳(EXTL)对奶牛产奶量和繁殖性能的影响。我们进行了系统的文献综述,以确定在EXTL系统下管理的奶牛与在传统泌乳时间下管理的奶牛之间比较产奶量和繁殖性能的研究,最终有21项研究符合纳入meta分析的条件。从这些研究中收集的数据包括产犊间隔(CInt)、自愿等待期(VWP)、胎次、品种、农场类型(实验型与商业型),以及奶牛是根据产量和奶牛特征被选择性地分配到EXTL还是随机分配。对每产犊间隔日能量校正产奶量(ECM/CInt)、首次受孕率和每次受精卵次数提取相应的处理方法。为每个结果建立了混合效应模型,研究结果为随机效应。该模型将CInt作为ECM/CInt的主要预测因子,将VWP作为首次服务受孕率和每次受孕授精次数的主要预测因子,同时保留其他重要的协变量。进行了单独的亚组分析,以比较使用选择性和随机分配到EXTL的研究。不同胎次时,微囊长度与ECM/CInt的关系不同,初产奶牛微囊长度每增加10 d, ECM/CInt增加0.08 kg/d,而在多产奶牛中,微囊长度对ECM/CInt没有影响。根据奶牛个体特征和生产性状,将多产奶牛选择性分配到EXTL,与随机分配相比,ECM/CInt比随机分配高1.9 kg/d,尽管选择分配到EXTL的奶牛产量与常规管理奶牛相似。此外,在不同的研究中,确定适合EXTL的奶牛的标准是不同的,无法确定一致或明确有效的选择方法。延长胎次VWP可提高胎次生殖性能;VWP每增加10 d,每次受精卵数量减少0.02个单位,首次受精卵的几率增加(多产奶牛为1.1个单位,初产奶牛为1.04个单位)。综上所述,本荟萃分析结果表明,EXTL提高了两个胎次组的繁殖性能指标,并增加了初产奶牛的ECM/CInt,而多产奶牛的产奶量则取决于是否有选择性地实施EXTL策略。这些结果表明,如果实现EXTL,应该作为个性化策略而不是群体级策略来应用。
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来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
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