J. Eiríksson, Á. Sigurdsson, Gudmundur H. Johannesson, E. Eythórsdóttir
{"title":"Comparison of test-day and lactation models for genetic evaluations of Icelandic dairy cows for production traits and somatic cell score","authors":"J. Eiríksson, Á. Sigurdsson, Gudmundur H. Johannesson, E. Eythórsdóttir","doi":"10.16886/ias.2019.04","DOIUrl":null,"url":null,"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.","PeriodicalId":50396,"journal":{"name":"Icelandic Agricultural Sciences","volume":"63 1","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Icelandic Agricultural Sciences","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.16886/ias.2019.04","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.