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奶牛公牛繁殖效率的多阶段分析。

Multiphasic analysis of reproductive efficiency of dairy bulls.

作者信息

Grossman M, Koops W J, den Daas J H

机构信息

Department of Animal Sciences, University of Illinois, Urbana 61801, USA.

出版信息

J Dairy Sci. 1995 Dec;78(12):2871-6. doi: 10.3168/jds.S0022-0302(95)76917-X.

Abstract

Reproductive efficiency of dairy bulls is usually measured by nonreturn rate. Nonreturn is a compound trait that is a result of two events, conception and gestation, that lead to calving. Nonreturn rates can be used to derive more elementary biological measures for reproductive efficiency, such as conception rate and calving rate, which separately might be more reliable than nonreturn rate itself to evaluate the fertility of a bull or the performance of an AI technician. The challenge of this study was to examine the decline in nonreturn rate in light of the theory of multiphasic analysis. A multiphasic logistic function was developed to model decline in nonreturn rate by estimating conception rate, calving rate, and characteristics of the first two estrous cycles. The model is illustrated with data on daily nonreturn rates to 120 d. From the proportion of cows that conceived but failed to complete gestation because postsignal embryonic death, the model estimates conception rate and calving rate. From the proportion of cows that failed to conceive or that conceived but failed to complete gestation because of presignal embryonic death, the model estimates the proportion of returns, or probability of detecting estrus, duration of nonreturns, and time of maximum decline in nonreturn rate for the first two cycles. Using the proposed model, conception rate and calving rate estimated from daily nonreturn rates might be more reliable for evaluation of performance of an AI technician and fertility of a bull than nonreturn rates at arbitrarily chosen days after insemination.

摘要

奶牛公牛的繁殖效率通常通过不返情率来衡量。不返情是一个复合性状,它是受孕和妊娠这两个导致产犊的事件的结果。不返情率可用于推导更基本的繁殖效率生物学指标,如受孕率和产犊率,单独来看,这些指标在评估公牛的生育能力或人工授精技术员的表现时可能比不返情率本身更可靠。本研究的挑战在于根据多阶段分析理论来研究不返情率的下降情况。通过估计受孕率、产犊率以及前两个发情周期的特征,建立了一个多阶段逻辑函数来模拟不返情率的下降。该模型用至120天的每日不返情率数据进行了说明。根据因信号后胚胎死亡而受孕但未能完成妊娠的母牛比例,该模型估计受孕率和产犊率。根据因信号前胚胎死亡而未受孕或受孕但未能完成妊娠的母牛比例,该模型估计返情比例、或检测到发情的概率、不返情持续时间以及前两个周期不返情率最大下降时间。使用所提出的模型,根据每日不返情率估计的受孕率和产犊率在评估人工授精技术员的表现和公牛的生育能力时,可能比授精后任意选定日子的不返情率更可靠。

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