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首页> 外文期刊>Chinese science bulletin >Mapping QTLs on BTA6 affecting milk production traits in a Chinese Holstein population
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Mapping QTLs on BTA6 affecting milk production traits in a Chinese Holstein population

机译：在影响中国荷斯坦牛群奶生产性状的BTA6上定位QTL

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A Chinese Holstein population with daughter design was analyzed using 14 microsatellites covering a map distance of 55.7 cM on chromosome 6 to fine map QTL for five milk production traits. 26 paternal half-sib families with 2356 daughters were involved. Two different approaches, linear regression approach and variance component approach, were employed, with a one-QTL model and two-QTL model fitted. With a one-QTL model, the linear regression approach revealed a QTL near B1VIS470 with effects on milk yield, fat yield, protein yield, and fat percentage, and another QTL near BMS2460 for protein percentage. The variance component approach confirmed the results of linear regression approach for the three yield traits, with the exception that the QTL for fat yield was mapped to a different position near BMS1242. The 95 percent confidence intervals resulted from linear regression, obtained by bootstrapping, were generally large, ranging from 31 to 53 cM, whereas the variance component approach revealed very small confidence intervals, calculated by LOD drop-off method, for the three yield traits, only 4-5 cM, With a two-QTL model, both approaches pro-' vided strong evidence for the existence of two QTLs for the three yield traits. Along with the QTLs identified in one-QTL model analyses, the linear regression approach revealed a second QTL near BP7 with effects on all the three yield traits, whereas the variance component approach located the second QTL near ILSS035, BMS470, and BP7 for the three traits, respectively.
机译：使用14个微卫星分析了具有女儿设计的中国荷斯坦牛种群，这些微卫星覆盖了6号染色体上55.7 cM的图谱距离，从而获得了5个产奶性状的QTL图谱。有26个父亲半同胞家庭，有2356个女儿。使用两种不同的方法，线性回归方法和方差分量方法，并拟合了一个QTL模型和两个QTL模型。使用一个QTL模型，线性回归方法显示B1VIS470附近的QTL对牛奶产量，脂肪产量，蛋白质产量和脂肪百分比有影响，而另一个BTL2460在蛋白质含量百分比附近对QTL有影响。方差成分法确认了三种产量性状的线性回归方法的结果，不同之处在于脂肪产量的QTL映射到BMS1242附近的其他位置。通过自举获得的线性回归产生的95％置信区间通常较大，范围从31至53 cM，而方差分量法显示，对于三个产量性状，通过LOD下降法计算出的置信区间非常小，仅有4-5 cM，采用两个QTL模型，这两种方法都为三个产量性状提供了两个QTL的有力证据。连同在一个QTL模型分析中确定的QTL，线性回归方法显示了对BP7附近有影响的所有三个产量性状的第二个QTL，而方差成分法则将三个QTL靠近ILSS035，BMS470和BP7特质。

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