Creation of a large reference family with phenotype recording and genotype data generation in buffaloes

Author:

VIJH RAMESH KUMAR,SHARMA UPASNA,GOKHALE SURESH B

Abstract

Buffalo is an integral part of dairy industry in India. Improvement of buffalo productivity shall require usage of high genetic merit bulls evaluated on the basis of progeny testing. Marker assisted selection of bulls shall enhance the accuracy of selection but require large number of daughters of the sires to be produced for the identification of Quantitative Trait Loci. In this paper we present creation of a large reference family (members with known genotype and phenotype). We created 12 large half sib families each with approximately 1,000 daughters per sire. The economic traits of interest like body weights at different ages, age at first heat, age at first calving, milk yield, fat and protein percentage in milk along with somatic cell count during the first lactation were recorded. The conception rate of bulls under field conditions was recorded and found to be 48.64% for the 12 bulls. There was huge loss of data attributable to different reasons however sale being the most important reason for non-recording of performance data. Only 25% of the daughters born to the 12 sires could be recorded for first lactation milk yield. 8027 daughters with confirm paternity were genotyped for 79 microsatellite markers located on 8 chromosomes, thus 6.34 lakh genotypes were generated. The information of this reference family has been compiled into a Buffalo Reference Family Germplasm Catalogue and published by National Agricultural Innovation Project, ICAR.

Publisher

Indian Council of Agricultural Research, Directorate of Knowledge Management in Agriculture

Subject

General Veterinary,Animal Science and Zoology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Identification of markers for functional traits in Murrah buffaloes;The Indian Journal of Animal Sciences;2021-09-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3