Suppr超能文献

美欧水貂的饲料效率和组成性状的遗传和表型参数。

Genetic and phenotypic parameters for feed efficiency and component traits in American mink.

机构信息

Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS, Canada.

Department of Pathobiology, University of Guelph, Guelph, ON, Canada.

出版信息

J Anim Sci. 2022 Aug 1;100(8). doi: 10.1093/jas/skac216.

Abstract

Feed cost is the largest expense of mink production systems, and, therefore, improvement of feed efficiency (FE) through selection for high feed-efficient mink is a practical way to increase the mink industry's sustainability. In this study, we estimated the heritability, phenotypic, and genetic correlations for different FE measures and component traits, including harvest weight (HW), harvest length (HL), final body length (FBL), final body weight (FBW), average daily gain (ADG), daily feed intake (DFI), feed conversion ratio (FCR), residual feed intake (RFI), residual gain (RG), residual intake and gain (RIG), and Kleiber ratio (KR), using data from 2,288 American mink (for HW and HL), and 1,038 to 1,906 American mink (for other traits). Significance (P < 0.05) of fixed effects (farm, sex, and color type), a covariate (age of animal), and random effects (additive genetic, maternal, and common litter) were evaluated through univariate models implemented in ASReml-R version 4. Genetic parameters were estimated via fitting a set of bivariate models using ASReml-R version 4. Estimates of heritabilities (±SE) were 0.28 ± 0.06, 0.23 ± 0.06, 0.28 ± 0.10, 0.27 ± 0.11, 0.25 ± 0.09, 0.26 ± 0.09, 0.20 ± 0.09, 0.23 ± 0.09, 0.21 ± 0.10, 0.25 ± 0.10, and 0.26 ± 0.10 for HW, HL, FBL, FBW, ADG, DFI, FCR, RFI, RG, RIG, and KR, respectively. RIG had favorable genetic correlations with DFI (-0.62 ± 0.24) and ADG (0.58 ± 0.21), and nonsignificant (P > 0.05) genetic correlations with FBW (0.14 ± 0.31) and FBL (-0.15 ± 0.31). These results revealed that RIG might be a superior trait as it guarantees reduced feed intake with faster-growing mink yet with no negative impacts on body weight and length. In addition, the strong positive genetic correlations (±SE) between KR with component traits (0.88 ± 0.11 with FBW, 0.68 ± 0.17 with FBL, and 0.97 ± 0.02 with ADG) suggested KR as an applicable indirect measure of FE for improvement of component traits as it did not require the individual feed intake to be measured. Overall, our results confirmed the possibility of including FE traits in mink breeding programs to effectively select feed-efficient animals.

摘要

饲料成本是水貂生产系统的最大支出,因此,通过选择饲料效率高的水貂来提高饲料效率(FE)是提高水貂产业可持续性的一种实用方法。在这项研究中,我们使用来自 2288 只美国水貂(用于 HW 和 HL)和 1038 至 1906 只美国水貂(用于其他性状)的数据,估计了不同 FE 度量和组成性状的遗传力、表型和遗传相关性,包括收获体重(HW)、收获长度(HL)、最终体长(FBL)、最终体重(FBW)、平均日增重(ADG)、每日采食量(DFI)、饲料转化率(FCR)、剩余采食量(RFI)、剩余增重(RG)、剩余采食量和增重(RIG)和克莱伯比(KR)。通过在 ASReml-R 版本 4 中实施的单变量模型评估固定效应(农场、性别和颜色类型)、协变量(动物年龄)和随机效应(加性遗传、母体和共同窝)的显著性(P < 0.05)。使用 ASReml-R 版本 4 拟合一组双变量模型来估计遗传参数。遗传力(±SE)的估计值分别为 0.28 ± 0.06、0.23 ± 0.06、0.28 ± 0.10、0.27 ± 0.11、0.25 ± 0.09、0.26 ± 0.09、0.20 ± 0.09、0.23 ± 0.09、0.21 ± 0.10、0.25 ± 0.10 和 0.26 ± 0.10 用于 HW、HL、FBL、FBW、ADG、DFI、FCR、RFI、RG、RIG 和 KR。RIG 与 DFI(-0.62 ± 0.24)和 ADG(0.58 ± 0.21)具有有利的遗传相关性,与 FBW(0.14 ± 0.31)和 FBL(-0.15 ± 0.31)无显著(P > 0.05)遗传相关性。这些结果表明,RIG 可能是一种优越的性状,因为它可以保证饲料摄入减少,同时 mink 生长更快,但对体重和体长没有负面影响。此外,KR 与组成性状之间具有很强的正遗传相关性(±SE)(0.88 ± 0.11 与 FBW、0.68 ± 0.17 与 FBL、0.97 ± 0.02 与 ADG),表明 KR 是一种可应用的 FE 间接测量方法,可用于改良组成性状,因为它不需要测量个体饲料摄入量。总的来说,我们的研究结果证实了在水貂育种计划中包含 FE 性状的可能性,以有效地选择饲料效率高的动物。

相似文献

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验