Animal Breeding and Genomics Centre, Wageningen University, PO Box 338, 6700 AH, Wageningen, the Netherlands.
J Dairy Sci. 2011 Aug;94(8):4183-8. doi: 10.3168/jds.2011-4149.
β-Lactoglobulin (β-LG) genotypes are associated with differences in bovine milk protein composition. Therefore, β-LG genotypes are of direct relevance for the dairy industry. In this study, we predicted β-lactoglobulin genotypes based on routinely recorded milk Fourier transform infrared spectra using 500 calibration samples. The results show that 76% of the cows carrying the β-LG AA genotype, 80% of the cows carrying the β-LG AB genotype, and 66% of the cows carrying the β-LG BB genotype were predicted correctly. Furthermore, the prediction of β-LG genotypes based on Fourier transform infrared spectra showed a repeatability of 0.85. We discuss how the combined use of predicted β-LG genotypes, pedigree information, and β-LG genotypes derived using other methods could lead to further improvement in the percentage of correctly predicted β-LG genotypes. The presented methodology is easy and inexpensive and could ultimately provide β-LG genotypes at the individual cow level.
β-乳球蛋白（β-LG）基因型与牛乳蛋白组成存在差异有关。因此，β-LG 基因型与乳品行业直接相关。本研究使用 500 个校准样本，基于常规记录的牛奶傅里叶变换近红外光谱来预测β-乳球蛋白基因型。结果表明，β-LG AA 基因型牛的正确预测率为 76%，β-LG AB 基因型牛的正确预测率为 80%，β-LG BB 基因型牛的正确预测率为 66%。此外，基于傅里叶变换近红外光谱预测β-LG 基因型的重复性为 0.85。我们讨论了如何结合使用预测的β-LG 基因型、系谱信息和使用其他方法获得的β-LG 基因型，从而进一步提高正确预测β-LG 基因型的比例。本研究提出的方法简单、廉价，最终可能会在个体牛水平上提供β-LG 基因型。
