China Animal Husbandry and Veterinary Medicine ›› 2022, Vol. 49 ›› Issue (9): 3475-3483.doi: 10.16431/j.cnki.1671-7236.2022.09.021

• Genetics and Breeding • Previous Articles     Next Articles

Analysis of Influencing Factors on Milking Speed Indicators in Holstein Cows

JI Haonan1, GAO Qing1, CHANG Yao1, ZHANG Hailiang1, WU Hongjun2, CHAI He2, YU Ying1, WANG Yachun1   

  1. 1. National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction (MARA), College of Animal Science and Technology, China Agricultural University, Beijing 100193, China;
    2. The Third Farm of Hulunbuir Agricultural Reclamation Xieertla Agricultural and Ranch Co., Ltd., Hailar 021012, China
  • Received:2022-03-06 Online:2022-09-05 Published:2022-08-24

Abstract: 【Objective】 The purpose of this study was to explore the population characteristics of milking speed indicators of Holstein cows and the influence of non genetic factors on them.【Method】 In this study, a total of 906 748 milking records from 8 757 dairy cows in a large-scale dairy farm in East China were collected.Six milking speed indicators were defined, including single milking yield (SMY), milk yield in first two minutes (MIN2), milking time (DUR), the proportion of MIN2 to SMY(PMY2), average flow rate (AMF) and the peak of flow rate (PMF).Subsequently, descriptive statistics of the above mentioned six indicators were obtained, and the Pearson correlations among these indicators were calculated.Furthermore, the impacts of season, parity, lactation stage, first calving age and milking shift on milking speed indicators were analyzed using a fixed model.【Result】 Among the six milking speed indicators, except for PMY2, the frequency distribution of SMY, MIN2, DUR, AMF and PMF were approximately normal distribution, and each indicator had a relatively large variation with the variation coefficient of about 30%.There were significant correlations among six milking speed indicators, and the coefficients ranged from -0.84 to 0.89.The milking speed was moderately or strongly correlated with milk yield, weakly negatively correlated with milking time, and weakly positively correlated with PMY2.It was found that season, parity, lactation stage, age of first calving and milking shift had highly significant impacted on milking speed indicators(P<0.01).Among different seasons, SMY and DUR in winter were the largest, AMF in summer and PMF in autumn were the highest.Among different lactation stages, SMY, DUR, AMF and PMF in the second lactation stage(45-99 d) were the largest.Among different milking shifts, SMY, DUR, AMF and PMF at night shifts (00:00-06:00) of dairy cows were the highest.【Conclusion】 The milking speed indicator with large variation was sensitive to physiological and environmental changes, which could provide useful information for selection of milk production performance.

Key words: dairy cows; milking speed; average flow rate; milking time

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