热带小农奶牛生产率、体形和耐热性状的基因组预测和全基因组关联研究。

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Animal Breeding and Genetics Pub Date : 2024-10-27 DOI:10.1111/jbg.12907
Nguyen N Bang, Ben J Hayes, Russell E Lyons, Imtiaz A S Randhawa, John B Gaughan, Nguyen X Trach, David M McNeill
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引用次数: 0

摘要

越南奶牛的基因组选择(GS)和全基因组关联研究(GWAS)尚未得到研究,即使是基本的产奶性状也是如此,这主要是由于小农奶牛场(SDF)缺乏个体表型记录。本研究旨在利用单试验日表型数据估算遗传率(h2),并测试GS和GWAS对产奶量、体型和新型耐热性状的适用性。对位于越南北部(低地与高地)或南部(低地与高地)的 32 个 SDF 进行了为期一个下午和第二天上午的访问,以收集所有泌乳奶牛(n = 345)的表型数据。在同一次访问中,每头奶牛的尾毛都被取样,以便随后用 50K SNP 芯片进行基因分型。产奶量性状(单次测试日)包括产奶量(MILK,千克/头/天)、根据体重调整的能量校正产奶量(ECMbw,千克/100千克体重/天)、脂肪(mFA,%)、蛋白质(mPR,%)和干物质(mDM,%)。体形性状为体重(BW,千克)和体况评分(BCS,1 = 瘦至 5 = 肥胖)。热耐受性性状为喘气评分(PS,0 = 正常至 4.5 = 极度热应激)和红外温度(IRTs,°C),由红外热像仪评估奶牛体表 11 个部位(外阴唇内侧、外阴外侧、尾基内侧、眼眶、口吻、腋窝、脐窝、前乳房、后乳房、前蹄和后蹄)的红外温度。对 GS 采用单变量线性混合模型和 10 倍交叉验证方法。单变量单SNP混合线性模型用于GWAS。ECMbw、mFA、mPR、mRE、BW、BCS和后乳房IRT的估计h2(利用基因型信息建立动物之间的关系)为中等(0.20-0.37);PS和其他IRT为低(0.08-0.19);MILK、ECM和mDM为非常低(≤ 0.07)。后蹄MILK、ECM、mDM和IRT的基因组估计育种值(GEBVs)的准确度较低(≤ 0.12);所有其他性状的准确度为中等至高(0.32-0.46)。染色体(BTA)上与产奶性状相关的最重要区域是 BTA14 上的 0.47-1.18 Mb。mFA、mPR、ECMbw、BCS、BW、PS 和后乳房及外阴外侧 IRT 的 GEBVs 的 h2 为中度到高度,准确度为中度,这表明使用单测试日表型数据的 GS 可用于这些性状。然而,需要更大的样本量才能通过 GS 减少 GEBV 的偏差,并通过 GWAS 提高检测显著数量性状位点(QTL)的能力。
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Genomic Prediction and Genome-Wide Association Studies for Productivity, Conformation and Heat Tolerance Traits in Tropical Smallholder Dairy Cows.

Genomic selection (GS) and genome-wide association studies (GWAS) have not been investigated in Vietnamese dairy cattle, even for basic milk production traits, largely due to the scarcity of individual phenotype recording in smallholder dairy farms (SDFs). This study aimed to estimate heritability (h2) and test the applicability of GS and GWAS for milk production, body conformation and novel heat tolerance traits using single test day phenotypic data. Thirty-two SDFs located in either the north (a lowland vs. a highland) or the south (a lowland vs. a highland) of Vietnam were each visited for an afternoon and the next morning to collect phenotype data of all lactating cows (n = 345). Tail hair from each cow was sampled for subsequent genotyping with a 50K SNP chip at that same visit. Milk production traits (single-test day) were milk yield (MILK, kg/cow/day), energy corrected milk yield adjusted for body weight (ECMbw, kg/100 kg BW/day), fat (mFA, %), protein (mPR, %) and dry matter (mDM, %). Conformation traits were body weight (BW, kg) and body condition score (BCS, 1 = thin to 5 = obese). Heat tolerance traits were panting score (PS, 0 = normal to 4.5 = extremely heat-stressed) and infrared temperatures (IRTs, °C) at 11 areas on the external body surface of the cow (inner vulval lip, outer vulval surface, inner tail base surface, ocular area, muzzle, armpit area, paralumbar fossa area, fore udder, rear udder, forehoof and hind hoof), assessed by an Infrared Camera. Univariate linear mixed models and a 10-fold cross-validation approach were applied for GS. Univariate single SNP mixed linear models were applied for the GWAS. Estimated h2 (using the genotype information to build relationships among animals) were moderate (0.20-0.37) for ECMbw, mFA, mPR, mRE, BW, BCS and IRT at rear udder; low (0.08-0.19) for PS and other IRTs; and very low (≤ 0.07) for MILK, ECM and mDM. Accuracy of genomic estimated breeding values (GEBVs) was low (≤ 0.12) for MILK, ECM, mDM and IRT at hind hoof; and moderate to high (0.32-0.46) for all other traits. The most significant regions on chromosomes (BTA) associated with milk production traits were 0.47-1.18 Mb on BTA14. Moderate to high h2 and moderate accuracies of GEBVs for mFA, mPR, ECMbw, BCS, BW, PS and IRTs at rear udder and outer vulval surface suggested that GS using single test day phenotypic data could be applied for these traits. However, a greater sample size is required to decrease the bias of GEBVs by GS and increase the power of detecting significant quantitative trait loci (QTLs) by GWAS.

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来源期刊
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
5.20
自引率
3.80%
发文量
58
审稿时长
12-24 weeks
期刊介绍: The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.
期刊最新文献
Genomic Diversity of U.S. Katahdin Hair Sheep. The Effect of Preselection on the Level of Bias and Accuracy in a Broiler Breeder Population, a Simulation Study. Genomic Prediction Using Imputed Whole-Genome Sequence Data in Australian Angus Cattle. Genetic Characterisation of Feeding Patterns in Lactating Holstein Cows and Their Association With Feed Efficiency Traits. Methods of Calculating Prediction Error Variance and Prediction Accuracy for Restricted Best Linear Unbiased Prediction of Breeding Values.
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