Department of Animal Science, Michigan State University, East Lansing 48824; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing 48824; Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing 48824.
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing 48824; Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing 48824; Department of Statistics and Probability, Michigan State University, East Lansing 48824.
J Dairy Sci. 2019 Feb;102(2):1354-1363. doi: 10.3168/jds.2018-15109. Epub 2018 Dec 20.
Fourier-transform near- and mid-infrared (FTIR) milk spectral data are routinely collected in many countries worldwide. Establishing an optimal strategy to use spectral data in genetic evaluations requires knowledge of the heritabilities of individual FTIR wavelength absorbances. Previous FTIR heritability estimates have been based on relatively small sample sizes and have not considered the possibility that heritability may vary across parities and stages of the lactation. We used data from ∼370,000 test-day records of Canadian Holstein cows to produce a landscape of the heritability of FTIR spectra, 1,060 wavelengths in the near- and mid-infrared spectrum (5,011-925 cm), by parity and month of the lactation (mo 1 to 3 and mo 1 to 6, respectively). The 2 regions of the spectrum associated with absorption of electromagnetic energy by water molecules were estimated to have very high phenotypic variances, very low heritabilities, and very low proportion of variance explained by herd-year-season (HYS) subclasses. The near- or short-wavelength infrared (SWIR: 5,066-3,672 cm) region was also characterized by low heritability estimates, whereas the estimated proportion of the variance explained by HYS was high. The mid-wavelength infrared region (MWIR: 3,000-2,500 cm) and the transition between mid and long-wavelength infrared region (MWIR-LWIR: 1,500-925 cm) harbor several waves characterized by moderately high (≥0.4) heritabilities. Most of the high-heritability regions contained wavelengths that are reported to be associated with important milk metabolites and components. Interestingly, these 2 same regions tended to show more variability in heritabilities between parity and lactation stage. Second parity showed heritability patterns that were distinctly different from those of the first and third parities, whereas the first 2 mo of the lactation had clearly distinct heritability patterns compared with mo 3 to 6.
傅里叶变换近红外和中红外(FTIR)牛奶光谱数据在世界许多国家都有常规采集。要建立在遗传评估中使用光谱数据的最佳策略,就需要了解各个 FTIR 波长吸收率的遗传力。先前的 FTIR 遗传力估计值基于相对较小的样本量,并且没有考虑遗传力可能因胎次和泌乳阶段而异的可能性。我们使用了约 370,000 个加拿大荷斯坦奶牛测试日记录的数据,根据胎次和泌乳月(分别为 mo 1 到 3 和 mo 1 到 6),绘制了 FTIR 光谱遗传力的全景图,该光谱包括近红外和中红外光谱(5,011-925 cm)中的 1,060 个波长。与水分子吸收电磁能相关的光谱的 2 个区域被估计具有非常高的表型方差、非常低的遗传力和非常低的由 herd-year-season (HYS) 亚类解释的方差比例。近红外或短波红外(SWIR:5,066-3,672 cm)区域的遗传力估计值也较低,而由 HYS 解释的方差比例则较高。中波红外区域(MWIR:3,000-2,500 cm)和中波与长波红外区域之间的过渡区域(MWIR-LWIR:1,500-925 cm)承载着几个具有中度高(≥0.4)遗传力的波。大多数高遗传力区域包含被报道与重要牛奶代谢物和成分相关的波长。有趣的是,这些 2 个区域在胎次和泌乳阶段之间的遗传力变化较大。第二胎次的遗传力模式与第一胎次和第三胎次明显不同,而泌乳的前 2 个月与 mo 3 到 6 相比,遗传力模式明显不同。