Comparison of test-day and lactation models for genetic evaluations of Icelandic dairy cows for production traits and somatic cell score

IF 0.2 4区 农林科学 Q4 AGRICULTURE, MULTIDISCIPLINARY
J. Eiríksson, Á. Sigurdsson, Gudmundur H. Johannesson, E. Eythórsdóttir
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引用次数: 1

Abstract

Predicted genetic progress in production traits was compared using three different models for genetic evaluation of Icelandic dairy cows. The models were: a random regression (RR) test-day model, model using lactation yields until day 305 from calving (LAC1), and the model currently used for the national evaluation, based on lactation yield from calving to the end of lactation regardless of the length of the lactation (LAC2). Additionally, genetic evaluation for somatic cell score with RR and LAC1 were compared. Predicted genetic progress for protein yield was highest when using RR, or 0.170 σa/yr, compared with 0.167 σa/yr and 0.158 σa/yr for LAC1 and LAC2, respectively. Results for other production traits were similar. The main reason could be the shorter generation interval when records can be utilized before the end of lactation and reliable estimated breeding values thus obtained earlier. Application of an RR model will be beneficial for genetic evaluation for production traits and somatic cell score.
冰岛奶牛生产性状和体细胞评分遗传评价的试验日和泌乳模型比较
采用三种不同的遗传评价模型对冰岛奶牛生产性状的预测遗传进展进行了比较。模型包括:随机回归(RR)试验日模型、产犊至第305天的泌乳量模型(LAC1)和目前用于国家评价的基于产犊至泌乳结束的泌乳量的模型(LAC2),无论泌乳时间长短。此外,比较了RR和LAC1对体细胞评分的遗传评价。用RR预测蛋白产量的遗传进展最高,为0.170 σa/yr,而LAC1和LAC2分别为0.167 σa/yr和0.158 σa/yr。其他生产性状结果相似。主要原因可能是由于在哺乳结束前可以利用较短的世代间隔,因此可以较早地获得可靠的育种估计值。RR模型的应用将有利于生产性状的遗传评价和体细胞评分。
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来源期刊
Icelandic Agricultural Sciences
Icelandic Agricultural Sciences AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Icelandic Agricultural Sciences is published annually, or more frequently. The deadline for submitting manuscripts that are intended to appear within that year is September. The journal is in English and is refereed and distributed internationally. It publishes original articles and reviews written by researchers throughout the world on any aspect of applied life sciences that are relevant under boreal, alpine, arctic or subarctic conditions. Relevant subjects include e.g. any kind of environmental research, farming, breeding and diseases of plants and animals, hunting and fisheries, food science, forestry, soil conservation, ecology of managed and natural ecosystems, geothermal ecology, etc.
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