Department of Animal Science, University of Nebraska - Lincoln, Lincoln, NE 68588, USA.
Acuity, Carlyle, IL 62231, USA.
J Anim Sci. 2022 May 1;100(5). doi: 10.1093/jas/skac148.
This study investigated using imputed genotypes from non-genotyped animals which were not in the pedigree for the purpose of genetic selection and improving genetic gain for economically relevant traits. Simulations were used to mimic a 3-breed crossbreeding system that resembled a modern swine breeding scheme. The simulation consisted of three purebred (PB) breeds A, B, and C each with 25 and 425 mating males and females, respectively. Males from A and females from B were crossed to produce AB females (n = 1,000), which were crossed with males from C to produce crossbreds (CB; n = 10,000). The genome consisted of three chromosomes with 300 quantitative trait loci and ~9,000 markers. Lowly heritable reproductive traits were simulated for A, B, and AB (h2 = 0.2, 0.2, and 0.15, respectively), whereas a moderately heritable carcass trait was simulated for C (h2 = 0.4). Genetic correlations between reproductive traits in A, B, and AB were moderate (rg = 0.65). The goal trait of the breeding program was AB performance. Selection was practiced for four generations where AB and CB animals were first produced in generations 1 and 2, respectively. Non-genotyped AB dams were imputed using FImpute beginning in generation 2. Genotypes of PB and CB were used for imputation. Imputation strategies differed by three factors: 1) AB progeny genotyped per generation (2, 3, 4, or 6), 2) known or unknown mates of AB dams, and 3) genotyping rate of females from breeds A and B (0% or 100%). PB selection candidates from A and B were selected using estimated breeding values for AB performance, whereas candidates from C were selected by phenotype. Response to selection using imputed genotypes of non-genotyped animals was then compared to the scenarios where true AB genotypes (trueGeno) or no AB genotypes/phenotypes (noGeno) were used in genetic evaluations. The simulation was replicated 20 times. The average increase in genotype concordance between unknown and known sire imputation strategies was 0.22. Genotype concordance increased as the number of genotyped CB increased with little additional gain beyond 9 progeny. When mates of AB were known and more than 4 progeny were genotyped per generation, the phenotypic response in AB did not differ (P > 0.05) from trueGeno yet was greater (P < 0.05) than noGeno. Imputed genotypes of non-genotyped animals can be used to increase performance when 4 or more progeny are genotyped and sire pedigrees of CB animals are known.
本研究旨在探讨利用未在系谱中的非基因型动物的推断基因型,以进行遗传选择和提高经济相关性状的遗传增益。模拟采用了一种三品种杂交系统,类似于现代养猪计划。模拟包括三个纯系品种 A、B 和 C,每个品种有 25 只和 425 只交配雄性和雌性动物。A 品种的雄性和 B 品种的雌性交配产生 AB 雌性(n = 1000),然后与 C 品种的雄性交配产生杂交后代(CB;n = 10000)。基因组由三个染色体组成,包含 300 个数量性状位点和~9000 个标记。A、B 和 AB 的低遗传繁殖性状(h2 = 0.2、0.2 和 0.15),而 C 的适度遗传胴体性状(h2 = 0.4)。A、B 和 AB 之间的繁殖性状遗传相关性为中度(rg = 0.65)。繁殖计划的目标性状为 AB 的表现。经过四代的选择,AB 和 CB 动物分别在第一代和第二代产生。从第二代开始,使用 FImpute 对非基因型 AB 母畜进行推断。使用 PB 和 CB 的基因型进行推断。推断策略因三个因素而异:1)每代推断 AB 后代的数量(2、3、4 或 6),2)AB 母畜已知或未知的配偶,以及 3)A 和 B 品种雌性的基因型率(0%或 100%)。A 和 B 的 PB 选择候选者使用 AB 表现的估计育种值进行选择,而 C 的候选者则通过表型进行选择。然后比较使用非基因型动物的推断基因型与使用真实 AB 基因型(trueGeno)或无 AB 基因型/表型(noGeno)进行遗传评估的情况下的选择反应。模拟重复了 20 次。未知和已知父本推断策略之间的基因型一致性平均提高了 0.22。随着 CB 后代数量的增加,基因型一致性增加,超过 9 个后代后几乎没有额外的增益。当 AB 的配偶已知且每代至少有 4 个后代被基因型检测时,AB 的表型反应与 trueGeno 没有差异(P > 0.05),但比 noGeno 更大(P < 0.05)。当至少有 4 个后代被基因型检测并且 CB 动物的父系系谱已知时,可以使用非基因型动物的推断基因型来提高表现。