我国杜洛克、长白、大白猪区域性联合遗传评估研究

doi:10.11843/j.issn.0366-6964.2018.12.005

畜牧兽医学报 ›› 2018, Vol. 49 ›› Issue (12): 2567-2575.doi: 10.11843/j.issn.0366-6964.2018.12.005

我国杜洛克、长白、大白猪区域性联合遗传评估研究

高虹^1,2, 邱小田², 王长存², 张金鑫^1,2, 张锁宇^1,2, 王源^1,2, 张勤¹, 王志刚², 杨红杰², 丁向东^1*

1. 中国农业大学动物科技学院, 畜禽育种国家工程实验室, 农业部动物遗传育种与繁殖重点实验室, 北京 100193;
2. 全国畜牧总站, 北京 100125

收稿日期:2018-04-20 出版日期:2018-12-23 发布日期:2019-01-23
通讯作者: 丁向东,副教授,E-mail:xding@cau.edu.cn
作者简介:高虹(1993-),女,山东人,硕士生,主要从事猪遗传育种研究,E-mail:13031028678@163.com;邱小田(1976-),男,湖北人,博士,主要从事动物遗传育种研究,Tel:010-59194622,E-mail:1967699090@qq.com。
基金资助:
国家生猪产业技术体系（CARS-35）

The Regional Joint Genetic Evaluation of Duroc, Landrace and Yorkshire Pigs in China

GAO Hong^1,2, QIU Xiao-tian², WANG Chang-cun², ZHANG Jin-xin^1,2, ZHANG Suo-yu^1,2, WANG Yuan^1,2, ZHANG Qin¹, WANG Zhi-gang², YANG Hong-jie², DING Xiang-dong^1*

1. Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China;
2. National Animal Husbandry Service, Beijing 100125, China

Received:2018-04-20 Online:2018-12-23 Published:2019-01-23

摘要/Abstract

摘要：

旨在根据我国杜洛克、长白和大白猪3个品种的场间遗传联系情况进行区域性跨场联合遗传评估，为全国联合遗传评估奠定基础。本研究利用杜洛克、长白和大白3个猪种分别在9个遗传关联组共39家国家生猪核心育种场2011-2016年的生长性状数据126 070条、187 975条和491 350条，繁殖性状数据36 542、78 409条、195 031条。生长性状包括达100 kg体重日龄（age to 100 kg，AGE）、100 kg活体背膘厚（backfat to 100 kg，BF），繁殖性状为总产仔数（total number born，TNB）。遗传参数和育种值分别采用约束极大似然方法（restricted maximum likelihood，REML）和最佳线性无偏预测法（best linear unbiased prediction，BLUP）进行估计。结果表明，区域性联合遗传评估的遗传力比单场评估更准确，同样，跨场联合评估育种值估计的准确性要高于单场遗传评估。杜洛克、长白、大白猪AGE联合评估的平均准确性比单场评估分别提高了20.9%、11.9%、17.3%；BF联合评估的平均准确性比单场评估分别提高了21.3%、16.3%、21.0%；TNB联合评估的平均准确性比单场评估分别提高了31.2%、14.4%、6.6%。联合评估后群体规模变大，遗传变异增大，个体育种值估计准确性提高，有助于联合育种。因此，我国开展杜洛克、长白和大白猪3个品种的区域性联合遗传评估是可行的。

关键词: 猪, 关联率, 联合遗传评估, 联合育种

Abstract:

The objective of this study was to investigate the plausibility of joint genetic evaluation in Duroc, Landrace and Yorkshire pigs in China. According to the genetic connectedness, a total of 9 genetic connectedness groups consisting of 39 national nucleus breeding farms from 3 pig breeds were established, respectively. The phenotypic data related to the growth and reproduction traits from 2011 to 2016 were collected. In total, 126 070, 187 975 and 491 350 records of the age to 100 kg (AGE) and backfat to 100 kg (BF), 36 542, 78 409 and 195 031 records of total number born (TNB) were analyzed for Duroc, Landrace and Yorkshire pigs, respectively. The genetic parameters and breeding values for single herd and each genetic connectedness group were estimated by REML and BLUP, respectively. The results showed that the heritabilities estimated by joint genetic evaluation were more accurate than single-herd evaluation. Similarly, the accuracy of the estimated breeding value (EBV) was improved as well. Compared to single-herd evaluation, the average accuracies of EBV obtained by joint genetic evaluation for Duroc, Landrace and Yorkshire pigs were increased by 20.9%, 11.9% and 17.3% for AGE, 21.3%, 16.3%, 21.0% for BF, and 31.2%, 14.4%, 6.6% for TNB, respectively. With the joint genetic evaluation, the population size of breeding herd was increased, and the genetic variation was enlarged, resulting in the improvement of accuracy of EBV. Therefore, the joint genetic evaluation for genetic connectedness groups in Duroc, Landrace and Yorkshire pigs in China is feasible.

Key words: pig, connectedness rate, joint genetic evaluation, joint breeding

中图分类号:

S828.2

高虹, 邱小田, 王长存, 张金鑫, 张锁宇, 王源, 张勤, 王志刚, 杨红杰, 丁向东. 我国杜洛克、长白、大白猪区域性联合遗传评估研究[J]. 畜牧兽医学报, 2018, 49(12): 2567-2575.

GAO Hong, QIU Xiao-tian, WANG Chang-cun, ZHANG Jin-xin, ZHANG Suo-yu, WANG Yuan, ZHANG Qin, WANG Zhi-gang, YANG Hong-jie, DING Xiang-dong. The Regional Joint Genetic Evaluation of Duroc, Landrace and Yorkshire Pigs in China[J]. ACTA VETERINARIA ET ZOOTECHNICA SINICA, 2018, 49(12): 2567-2575.

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我国杜洛克、长白、大白猪区域性联合遗传评估研究

The Regional Joint Genetic Evaluation of Duroc, Landrace and Yorkshire Pigs in China

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