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Detection of Quantitative Trait Loci Affecting Milk Production, Health, and Reproductive Traits in Holstein Cattle

机译:检测影响荷斯坦牛奶产量,健康和生殖性状的数量性状位点

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We report putative quantitative trait loci affecting female fertility and milk production traits using the merged data from two research groups that conducted independent genome scans in Dairy Bull DNA Repository grandsire families to identify quantitative trait loci (QTL) affecting economically important traits. Six families used by both groups had been genotyped for 367 microsatellite markers covering 2713.5 cM of the cattle genome (90%), with an average spacing of 7.4 cM. Phenotypic traits included PTA for pregnancy rate and daughter deviations for milk, protein and fat yields, protein and fat percentages, somatic cell score, and productive life. Analysis of the merged dataset identified putative quantitative trait loci that were not detected in the separate studies, and the pregnancy rate PTA estimates that recently became available allowed detection of pregnancy rate QTL for the first time. Sixty-one putative significant marker effects were identified within families, and 13 were identified across families. Highly significant effects were found on chromosome 3 affecting fat percentage and protein yield, o'n chromosome 6 affecting protein and fat percentages, on chromosome 14 affecting fat percentage, on chromosome 18 affecting pregnancy rate, and on chromosome 20 affecting protein percentage. Within-family analysis detected putative QTL associated with pregnancy rate on six chromosomes, with the effect on chromosome 18 being the most significant statistically. These findings may help identify the most useful markers available for QTL detection and, eventually, for marker-assisted selection for improvement of these economically important traits.
机译:我们使用来自两个研究组的合并数据报告了影响女性生育力和牛奶生产性状的推定数量性状基因座,这些数据在奶牛DNA储存库祖先家族中进行了独立的基因组扫描,以确定影响经济上重要特征的数量性状基因座(QTL)。两组使用的六个科已对367个微卫星标记进行了基因分型,覆盖了2713.5 cM的牛基因组(90%),平均间隔为7.4 cM。表型性状包括妊娠率的PTA和牛奶,蛋白质和脂肪产量,蛋白质和脂肪百分比,体细胞分数和生产寿命的女儿偏差。对合并数据集的分析确定了在单独的研究中未检测到的推定数量性状基因座,并且最近可获得的妊娠率PTA估计值首次允许检测妊娠率QTL。在家庭中确定了61个推定的显着标记效应,在整个家庭中确定了13个。在影响脂肪百分比和蛋白质产量的第3号染色体,影响蛋白质和脂肪百分比的第6号染色体,影响脂肪百分比的第14号染色体,影响妊娠率的第18号染色体和影响蛋白质百分比的第20号染色体上都发现了非常显着的影响。家庭内部分析在六个染色体上检测到与妊娠率相关的假定QTL,在统计学上对18号染色体的影响最大。这些发现可能有助于确定可用于QTL检测的最有用的标记,并最终用于标记辅助选择以改善这些重要的经济性状。

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