牛奶的中红外光谱相关变量遗传参数估计

doi:10.11843/j.issn.0366-6964.2019.05.006

Abstract

Abstract:

This study aimed to investigate the genetic laws of the variables related to the original mid-infrared spectrometry (MIRS) of cow milk. DHI, mid-infrared spectral data and pedigree data were obtained from 1 822 Holstein dairy cows owned by farm of Beijing Sunlon Livestock Development Co., Ltd. Principal component analysis and genetic parameter estimation were performed using the R language (v3.51), SAS (v9.2) and DMU (v6.0), the animal model used for genetic parameter estimation taken into account the fixed effects including the testing months, parity and days in milk and random effects including additive genetic effect and permanent environmental effect. The results showed that the correlation coefficient among more than 80% of the wavenumbers of mid-infrared spectrometry ranged from 0.500 to 1.000, and the variation coefficients of the wavenumbers in region 3 574-3 521 cm^-1 and 3 630-3 618 cm^-1 were higher. The heritability of the most wavenumbers of MIRS data were mostly between 0.010 and 0.030, and the proportion of wavenumbers with medium and high heritabilities was about 7%. With the increase of heritability, the absorption increased, the transmittance and CV decreased. The genetic law of milk components can be better understood through the genetic analysis of the original MIRS data obtained from DHI samples, in order to improve the quality of milk and provide reference for cattle breeding.

CLC Number:

S823.91

LOU Wenqi, LI Xiang, LUO Hanpeng, LIU Lin, ZOU Yang, WANG Yachun. Estimation of Genetic Parameters of Mid-infrared Spectrometry Related Variables in Cow Milk[J]. ACTA VETERINARIA ET ZOOTECHNICA SINICA, 2019, 50(5): 947-956.

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Estimation of Genetic Parameters of Mid-infrared Spectrometry Related Variables in Cow Milk

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