M. Sallam , H. Wall , P.W. Wilson , B. Andersson , M. Schmutz , C. Benavides , M. Checa , E. Sanchez‑Rodriguez , A.B. Rodriguez‑Navarro , A. Kindmark , I.C. Dunn , D‑J. de Koning , M. Johnsson
{"title":"利用不同信息来源对蛋鸡骨强度的基因组预测","authors":"M. Sallam , H. Wall , P.W. Wilson , B. Andersson , M. Schmutz , C. Benavides , M. Checa , E. Sanchez‑Rodriguez , A.B. Rodriguez‑Navarro , A. Kindmark , I.C. Dunn , D‑J. de Koning , M. Johnsson","doi":"10.1016/j.animal.2025.101452","DOIUrl":null,"url":null,"abstract":"<div><div>Bone damage in laying hens remains a significant welfare concern in the egg industry. Breeding companies rely on selective cross-breeding of purebred birds to produce commercial hybrids, which farmers raise for table-egg production. Genomic prediction is a potential tool to improve bone quality in laying hens. Because commercial layers are crossbred and kept in different environments than pure lines, the question arises whether to use within-line purebred selection or whether to use crossbred data. While selection based on pure line data is common, achieving optimal bone strength in hybrids may require incorporating hybrid data to account for heterosis and housing-specific effects. This study aims to evaluate how combining pure line and hybrid data could affect the accuracy of breeding values for bone strength. Genotypes and phenotypes were available from two types of white hybrids (Bovans White and Lohmann Selected Leghorn Classic) housed in two housing systems (furnished cages and floor housing). This resulted in four hybrid-housing combinations (n ∼ 220 for each). Tibia strength and genotypes for pure breeding lines of White Leghorn (<strong>WL</strong>, n = 947) and Rhode Island Red (<strong>RIR</strong>, n = 924) were also included. Each of the hybrid-housing combinations and pure lines was fitted separately into (1) single-trait Genomic Best Linear Unbiased Prediction (<strong>GBLUP</strong>), then simultaneously via multitrait GBLUP, (2) within hybrids across housing, (3) across hybrids within housing, (4) across hybrids and housing, (5) the latter in combination with WL and/or RIR data. Including hybrid data slightly increased the accuracy of the genomic estimated breeding value (<strong>GEBV</strong>) of other hybrids, but not that of pure lines. Pure line data increased the GEBV accuracy of hybrids over and above that of combining hybrid information. Combining data from two pure lines improved the GEBV accuracy of both. In comparison to the combination of data across lines and/or houses, combining tibia strength and BW within-lines increased tibia strength GEBV accuracy. The maximum GEBV accuracy obtained for tibia strength ranged from 0.42 to 0.65 for hybrids and from 0.63 to 0.78 for pure lines. 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Tibia strength and genotypes for pure breeding lines of White Leghorn (<strong>WL</strong>, n = 947) and Rhode Island Red (<strong>RIR</strong>, n = 924) were also included. Each of the hybrid-housing combinations and pure lines was fitted separately into (1) single-trait Genomic Best Linear Unbiased Prediction (<strong>GBLUP</strong>), then simultaneously via multitrait GBLUP, (2) within hybrids across housing, (3) across hybrids within housing, (4) across hybrids and housing, (5) the latter in combination with WL and/or RIR data. Including hybrid data slightly increased the accuracy of the genomic estimated breeding value (<strong>GEBV</strong>) of other hybrids, but not that of pure lines. Pure line data increased the GEBV accuracy of hybrids over and above that of combining hybrid information. Combining data from two pure lines improved the GEBV accuracy of both. In comparison to the combination of data across lines and/or houses, combining tibia strength and BW within-lines increased tibia strength GEBV accuracy. The maximum GEBV accuracy obtained for tibia strength ranged from 0.42 to 0.65 for hybrids and from 0.63 to 0.78 for pure lines. 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引用次数: 0
摘要
蛋鸡骨损伤仍然是蛋业关注的一个重大福利问题。育种公司依靠对纯种鸟类的选择性杂交来生产商业化的杂交种,农民饲养这些杂交种用于食用蛋生产。基因组预测是提高蛋鸡骨质量的潜在工具。因为商业层是杂交的,并且保存在与纯种不同的环境中,所以出现了是否使用系内纯种选择或是否使用杂交数据的问题。虽然基于纯系数据的选择是常见的,但在杂交种中获得最佳的骨强度可能需要结合杂交种数据来解释杂种优势和住房特异性效应。本研究旨在评估纯系和杂交数据结合如何影响骨强度育种值的准确性。基因型和表型来自两种饲养系统(带家具的笼子和地板的笼子)中的两种白色杂交种(Bovans white和Lohmann Selected Leghorn Classic)。这导致了四种混合住房组合(每种组合n ~ 220个)。还包括白来角纯种(WL, n = 947)和罗德岛红纯种(RIR, n = 924)的胫骨强度和基因型。每个杂交-住房组合和纯系分别拟合到(1)单性状基因组最佳线性无偏预测(GBLUP)中,然后同时通过多性状GBLUP进行拟合,(2)跨住房的杂交,(3)跨住房的杂交,(4)跨杂交和住房的杂交,(5)后者与WL和/或RIR数据相结合。包括杂交种数据稍微提高了其他杂交种的基因组估计育种值(GEBV)的准确性,但没有提高纯种的准确性。纯系数据比组合杂交信息提高了杂交GEBV的精度。结合两条纯线的数据,提高了两者的GEBV精度。与跨线和/或房屋的数据组合相比,结合胫骨强度和线内体重增加了胫骨强度GEBV的准确性。杂交品种胫骨强度的最大GEBV精度为0.42 ~ 0.65,纯种品种胫骨强度的最大GEBV精度为0.63 ~ 0.78。基因型与环境相互作用的建模是否有助于为特定的住房系统培育杂交品种,还需要进一步的研究。
Genomic prediction of bone strength in laying hens using different sources of information
Bone damage in laying hens remains a significant welfare concern in the egg industry. Breeding companies rely on selective cross-breeding of purebred birds to produce commercial hybrids, which farmers raise for table-egg production. Genomic prediction is a potential tool to improve bone quality in laying hens. Because commercial layers are crossbred and kept in different environments than pure lines, the question arises whether to use within-line purebred selection or whether to use crossbred data. While selection based on pure line data is common, achieving optimal bone strength in hybrids may require incorporating hybrid data to account for heterosis and housing-specific effects. This study aims to evaluate how combining pure line and hybrid data could affect the accuracy of breeding values for bone strength. Genotypes and phenotypes were available from two types of white hybrids (Bovans White and Lohmann Selected Leghorn Classic) housed in two housing systems (furnished cages and floor housing). This resulted in four hybrid-housing combinations (n ∼ 220 for each). Tibia strength and genotypes for pure breeding lines of White Leghorn (WL, n = 947) and Rhode Island Red (RIR, n = 924) were also included. Each of the hybrid-housing combinations and pure lines was fitted separately into (1) single-trait Genomic Best Linear Unbiased Prediction (GBLUP), then simultaneously via multitrait GBLUP, (2) within hybrids across housing, (3) across hybrids within housing, (4) across hybrids and housing, (5) the latter in combination with WL and/or RIR data. Including hybrid data slightly increased the accuracy of the genomic estimated breeding value (GEBV) of other hybrids, but not that of pure lines. Pure line data increased the GEBV accuracy of hybrids over and above that of combining hybrid information. Combining data from two pure lines improved the GEBV accuracy of both. In comparison to the combination of data across lines and/or houses, combining tibia strength and BW within-lines increased tibia strength GEBV accuracy. The maximum GEBV accuracy obtained for tibia strength ranged from 0.42 to 0.65 for hybrids and from 0.63 to 0.78 for pure lines. Further study is required to test whether modelling the interactions of genotype by environment could help to breed hybrids for specific housing systems.
期刊介绍:
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animal attracts the best research in animal biology and animal systems from across the spectrum of the agricultural, biomedical, and environmental sciences. It is the central element in an exciting collaboration between the British Society of Animal Science (BSAS), Institut National de la Recherche Agronomique (INRA) and the European Federation of Animal Science (EAAP) and represents a merging of three scientific journals: Animal Science; Animal Research; Reproduction, Nutrition, Development. animal publishes original cutting-edge research, ''hot'' topics and horizon-scanning reviews on animal-related aspects of the life sciences at the molecular, cellular, organ, whole animal and production system levels. The main subject areas include: breeding and genetics; nutrition; physiology and functional biology of systems; behaviour, health and welfare; farming systems, environmental impact and climate change; product quality, human health and well-being. Animal models and papers dealing with the integration of research between these topics and their impact on the environment and people are particularly welcome.