Paakala Elina, Martín-Collado Daniel, Mäki-Tanila Asko, Juga Jarmo
Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland.
Faba co-op, Vantaa, Finland.
J Anim Breed Genet. 2018 Oct;135(6):410-419. doi: 10.1111/jbg.12359. Epub 2018 Oct 17.
Changing production circumstances, a wide range of traits and the international bull market enable dairy farmers to make increasingly specific choices concerning artificial insemination (AI) bulls. Finland is part of the joint Nordic dairy cattle breeding programme where in addition to yield, high emphasis is given to health, fertility, conformation and longevity. The aims of our study were (a) to investigate whether Finnish dairy farmers differ in their selection preferences for AI bull traits and can be clustered into herd groups, (b) to determine whether AI bull selection in different herd groups is in line with the Nordic Total Merit index (NTM) and (c) to analyse how the herd groups are related to herd characteristics. We used a statistical cluster analysis to analyse AI bull usage and to group herds according to each herd's bull selection profile determined by the traits' estimated breeding value (EBV) mean weighted by the number of inseminations for the various traits. We identified four herd groups in both Ayrshire (AY) and Holstein (HOL) breeds: Production, Fertility, All-rounders, and Conformation. The herds' bull selection profiles were mostly close to the NTM except in the Conformation herd groups where traits other than conformation were nearly neglected. This led to poorer expected genetic and economic outcomes than with the NTM selection. Conformation herds were a minority, but they were larger in herd size and investments had recently been made. The data suggest that either fine-tuning the weights in the NTM, forming alternative indices or developing a herd-specific total merit index (TMI) could fulfil the needs of very diverse herds.
生产环境的变化、众多的性状以及国际公牛市场,使得奶农在选择人工授精(AI)公牛时能够做出越来越具体的选择。芬兰是北欧奶牛联合育种计划的一部分,除了产量之外,该计划还非常重视健康、繁殖力、体型结构和长寿。我们研究的目的是:(a)调查芬兰奶农在AI公牛性状选择偏好上是否存在差异,以及是否可以聚类为不同的牛群组;(b)确定不同牛群组的AI公牛选择是否符合北欧综合评定指数(NTM);(c)分析牛群组与牛群特征之间的关系。我们使用统计聚类分析来分析AI公牛的使用情况,并根据每个牛群对各种性状的估计育种值(EBV)均值(按各性状的授精次数加权)所确定的公牛选择概况对牛群进行分组。我们在艾尔夏牛(AY)和荷斯坦牛(HOL)品种中都识别出了四个牛群组:高产组、繁殖力组、全能组和体型结构组。除了体型结构牛群组几乎忽略了体型结构以外的其他性状外,各牛群的公牛选择概况大多与NTM接近。这导致与NTM选择相比,预期的遗传和经济结果较差。体型结构牛群是少数群体,但它们的牛群规模较大,且近期进行了投资。数据表明,要么微调NTM中的权重,形成替代指数,要么制定特定牛群的综合评定指数(TMI),都可以满足非常多样化牛群的需求。