基于GBLUP等模型对梅花鹿(Cervus Nippon)生长相关性状基因组选择的预测准确性比较

doi:10.11843/j.issn.0366-6964.2023.02.018

摘要/Abstract

摘要： 旨在基于GBLUP等模型对梅花鹿（Cervus Nippon）生长相关性状基因组选择的预测准确性进行比较。本研究以吉林某鹿场2014—2019年所产梅花鹿261只作为研究群体（公鹿96只，母鹿165只），对梅花鹿体重体尺等生长相关性状进行遗传力估计，并基于5-fold交叉验证方法对GBLUP、Bayes A、Bayes B、Bayes C、Bayes Lasso、RRBLUP六种基因组选择模型预测准确度进行了比较，以筛选出适合梅花鹿生长相关性状的基因组选择模型。结果发现：1）管围与臀端高的遗传力分别为0.43、0.50，属于高遗传力；体重、体高与体斜长的遗传力分别为0.22、0.30、0.27，属于中等遗传力；而胸围的遗传力为0.15，属于低遗传力；2）在GBLUP中，基因组选择预测的准确度与性状的遗传力呈正相关关系，而在Bayes类与RRBLUP法中并未表现明显正相关关系；3）在样本量较少的情况下，选取GBLUP作为基因组选择模型具有一定的优势；Bayes A可在低遗传力性状中作为首选；体重、体高、体斜长、管围、胸围、臀端高预测准确度最高的分别为GBLUP、Bayes B、Bayes C、Bayes B、Bayes A、RRBLUP。在实际生产中，没有能够完全适应所有性状的模型，必须根据预测的准确性以及预测的时效性来特异的选择最佳模型。

关键词: 梅花鹿, 生长相关性状, 遗传力, 基因组选择, 准确性

Abstract: The study aimed to compare the predictive accuracy of genomic selection for growth-related traits in sika deer(Cervus Nippon) based on models such as GBLUP. The heritability of growth-related traits such as body weight and body size of sika deer was estimated for 261 sika deer from a deer farm in Jilin Province from 2014 to 2019 (96 males and 165 females). Based on 5-fold cross-validation method, the prediction accuracy of GBLUP, Bayes A, Bayes B, Bayes C, Bayes Lasso and RRBLUP genomic selection models were compared. The suitable genome selection model for the growth-related traits of sika deer was screened. The results showed that:1) The heritability of shin circumference and high hips were 0.43 and 0.50, respectively, which belonged to high heritability; the heritability of body weight, body height and body length were 0.22, 0.30 and 0.27, respectively, which belonged to medium heritability; while the heritability of chest girth was 0.15, which belonged to low heritability. 2) In GBLUP, there was a positive correlation between the accuracy of genomic selection prediction and heritability of traits, but there was no significant positive correlation in Bayes and RRBLUP methods. 3) When the sample size was small, selecting GBLUP as the model of genome selection had certain advantages, and Bayes A could be used as the first choice for traits with low heritability. The highest prediction accuracy of body weight, body height, body length, shin circumference, chest girth and high hips were GBLUP, Bayes B, Bayes C, Bayes B, Bayes A and RRBLUP, respectively. In the actual production, there is no model fully suitable for all the traits, and the best model must be selected according to the accuracy and timeliness of prediction.

Key words: sika deer, growth-related traits, heritability, genome selection, accuracy

中图分类号:

S829.9

李浩东, 闵祥玉, 周雅, 张禾垟, 郑军军, 刘琳玲, 王平, 王艳梅, 杨福合, 王桂武. 基于GBLUP等模型对梅花鹿(Cervus Nippon)生长相关性状基因组选择的预测准确性比较[J]. 畜牧兽医学报, 2023, 54(2): 608-616.

LI Haodong, MIN Xiangyu, ZHOU Ya, ZHANG Heyang, ZHENG Junjun, LIU Linling, WANG Ping, WANG Yanmei, YANG Fuhe, WANG Guiwu. Comparison of Prediction Accuracy of Genomic Selection for Growth-related Traits in Sika Deer (Cervus Nippon) based on GBLUP and other Models[J]. Acta Veterinaria et Zootechnica Sinica, 2023, 54(2): 608-616.

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