泌乳期中国荷斯坦牛转化孕酮浓度的影响因素分析及其表型预测

doi:10.16431/j.cnki.1671-7236.2023.01.019

Abstract

Abstract: 【Objective】 This study was aimed to investigate the phenotypic features of blood progesterone (BP) concentration and milk progesterone (MP) concentrations in Chinese Holstein cows based on the experimental data, the significant impact factors on the progesterone concentration and the relationship with milk composition.Then an attempt was made to find a way to obtain the progesterone phenotype on large population.【Method】 In August 2021, milk samples and tail root blood samples of Chinese Holstein lactating cows with different parity, lactation stage and pregnancy status were collected in two pastures in Beijing and Shandong, and progesterone concentration was measured.Finally, 402 MP concentrations and 298 BP concentration phenotypes were obtained for data analysis.After transforming the data of progesterone concentration to approximate following normal distribution, the fixed effect model was used to explore the influence of fixed effects on the progesterone phenotype of dairy cows, such as parity, lactation stage, pregnancy state, and pasture.Then, the R language cor function was used to calculate the correlation between progesterone and milk composition.The partial least squares method and individual and milk component information were used to predict progesterone concentration, so as to establish a high-throughput acquisition method for progesterone concentration phenotype.【Result】 Pregnancy state had an extremely significant effect on the concentration of transforming MP (P<0.01), parity and field effect had a significant effect on the concentration of transforming MP (P<0.05), while transforming BP concentration was only affected by pregnancy state (P<0.01).There was a significant or extremely significant positive correlation between milk solid, milk fat percentage, milk protein percentage, and transforming milk-blood progesterone concentration (r=0.14-0.37, P<0.05 or P<0.01).Based on the test data, the prediction accuracy of milk composition and individual information on transforming milk-blood progesterone concentration was not high (R²=0.030-0.17), but if the transforming progesterone concentration in blood or milk was increased to predict milk or blood transforming progesterone concentration, the prediction effect would be greatly improved (R²=0.40).【Conclusion】 This study showed that the factors affecting transforming progesterone concentration of Chinese Holstein cows in lactation period might include feeding conditions and parity in addition to pregnancy status.In addition, transforming progesterone concentration was significantly correlated with milk components such as milk fat percentage and milk protein percentage. Based on the relationship between transforming progesterone concentration and milk composition, the available strategy for predicting the transforming progesterone concentration in Chinese Holstein cows during lactation.Accordingly, it provided a supplement for the reproductive management in the farm and new ideas for developing new traits in dairy cattle breeding, a high-throughput method for collecting progesterone phenotype in Chinese Holstein cows.

Key words: Chinese Holstein cows; progesterone; milk composition; linear model

CLC Number:

S823

ZENG Zhiqin, LOU Wenqi, XU Jingyi, MA Yehua, ZHANG Yongfu, REN Xiaoli, CHEN Shaokan, YAN Lei, GUO Gang, ZHANG Zhen, WANG Yachun. Analysis of Impact Factors and Phenotype Prediction for Transforming Progesterone Concentration in Chinese Holstein Cows During Lactation[J]. China Animal Husbandry and Veterinary Medicine, 2023, 50(1): 186-197.

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Analysis of Impact Factors and Phenotype Prediction for Transforming Progesterone Concentration in Chinese Holstein Cows During Lactation

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