Chen H Y, Zhang Q, Yin C C, Wang C K, Gong W J, Mei G
State Key Laboratory for Agrobiotechnology, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100094, China.
J Dairy Sci. 2006 Feb;89(2):782-90. doi: 10.3168/jds.S0022-0302(06)72140-3.
Fourteen microsatellite markers with a coverage of 63.5 cM on bovine chromosome 6 were selected, and 26 sire families with 2,260 daughters were analyzed for mapping quantitative trait loci (QTL) affecting 5 milk production traits in a Chinese Holstein population. In the analyses across 26 families and within the largest significant families with a one-QTL model fitted, a QTL near BMS470 was detected that affected fat yield at the 5% experiment-wide significance level. When a 2-QTL model was fitted in the across-family analysis, it was found that there might exist 2 QTL affecting the 3 yield traits, although the exact or empirical thresholds for the significance testing were unknown. In all analyses, the results for milk yield and protein yield were generally consistent, which might have resulted from the same genetic background for milk and protein yield.
选择了覆盖牛6号染色体63.5 cM的14个微卫星标记，并对26个父系家系（含2260头女儿）进行分析，以在中国荷斯坦牛群体中定位影响5个产奶性状的数量性状位点（QTL）。在对26个家系进行的分析以及拟合单QTL模型的最大显著家系内部的分析中，在BMS470附近检测到一个QTL，该QTL在全实验5%的显著水平上影响脂肪产量。在跨家系分析中拟合双QTL模型时，发现可能存在2个影响3个产量性状的QTL，尽管显著性检验的确切或经验阈值未知。在所有分析中，产奶量和蛋白质产量的结果总体一致，这可能是由于产奶量和蛋白质产量具有相同的遗传背景。
