荷斯坦奶牛挤奶气质遗传参数的估计

IF 2.1 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Paula A. Batista Taborda, T. Valente, M. V. de Lima Carvalhal, M. V. B. da Silva, M. P. D. Paranhos da Costa
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Milking temperament (MT), measured as the milking temperament of each cow, was assessed during pre-milking udder preparation (RP) and when fitting the milking cluster (RF) by ascribing scores from 1 (cow stands quietly) to 8 (the cow is very agitated, with vigorous movements and frequent kicking). The number of steps and kicks were also recorded during pre-milking udder preparation (SRP and KRP, respectively) and when fitting the milking cluster (SRF and KRF, respectively). Milk yield (MY) was obtained from each farm database. In two of them, MY was recorded during the monthly milk control (that could or could not coincide with the date when the milking temperament assessments were carried out) and in the remaining farm, MY was recorded on the same day that the milking temperament assessments were made. Genetic parameters were estimated using the THRGibbs1f90 program applying a threshold model, which included 89 contemporary groups as fixed effects, animal age at the assessment day and the number of days in milking as covariates, and direct additive genetic and residual effects as random effects.The heritability estimates were MT= 0.14 ± 0.03 (for both, MRP and MRF), MY= 0.11 ± 0.08, SRP= 0.05 ± 0.03, KRP= 0.14 ± 0.05, SRF= 0.10 ± 0.05, and KRF= 0.32 ± 0.16. The repeatability estimates were 0.38 ± 0.05, 0.42 ± 0.02, and 0.84 ± 0.006 for MTRP, MTRF, and MY, respectively; and 0.38 ± 0.02, 0.30 ± 0.07, 0.52 ± 0.02, and 0.46 ± 0.15 for SRP, KRP, SRF, and KRF, respectively. The estimates of most genetic correlation coefficients between MTRP-MTRF were all strong and positive (MTRR-MTRF= 0.63 ± 0.10, MTRP-SRP= 0.65 ± 0.12, MTRP-KRP= 0.56 ± 0.16, MTRF-SRF= 0.77 ± 0.06, and MTRF-KRF= 0.56 ± 0.34) except for MY (MTRP-MY= 0.26 ± 0.26 and MTRF-MY= 0.21 ± 0.23). 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引用次数: 0

摘要

性情较差的奶牛在挤奶过程中会造成一些不便,导致劳动困难,增加与动物和工人发生事故的风险,并影响牛奶产量和质量。本研究旨在估计荷斯坦杂交牛挤奶气质的方差成分和遗传参数及其与产奶量的遗传相关性。数据是在三个商业农场收集的,共有1212头初产和多产泌乳奶牛的5904份记录。挤奶气质(MT),测量为每头牛的挤奶气质,在挤奶前乳房准备(RP)期间和装配挤奶集群(RF)时通过从1(奶牛安静地站着)到8(奶牛非常激动,动作剧烈,经常踢腿)的评分进行评估。在挤奶前乳房准备过程中(分别为SRP和KRP)和装配挤奶集群时(分别为SRC和KRF),还记录了步数和踢腿次数。牛奶产量(MY)是从每个农场的数据库中获得的。在其中两个农场中,MY是在每月的乳汁控制期间记录的(这可能与进行挤奶气质评估的日期重合,也可能不重合),而在剩下的农场中,在进行挤奶气质评价的同一天记录的。使用THRGibbs1f90程序应用阈值模型估计遗传参数,该模型包括89个当代群体作为固定效应,评估日的动物年龄和挤奶天数作为协变量,直接加性遗传和残差效应作为随机效应。遗传力估计值为MT=0.14±0.03(MRP和MRF),MY=0.11±0.08,SRP=0.05±0.03,KRP=0.14±0.05,SRF=0.10±0.05,KRF=0.32±0.16。MTRP、MTRF和MY的重复性估计值分别为0.38±0.05、0.42±0.02和0.84±0.006;SRP、KRP、SRF和KRF分别为0.38±0.02、0.30±0.07、0.52±0.02和0.46±0.15。除MY(MTRP-MY=0.26±0.26和MTRF-MY=0.21±0.23)外,MTRP-MTRF之间大多数遗传相关系数的估计值均为强正相关(MTRR-MTRF=0.63±0.10,MTRP-SRP=0.65±0.12,MTRP-KRP=0.56±0.16,MTRF-SRF=0.77±0.06,和MTRF-KRF=0.56±0.34),它可以作为一种选择性状纳入荷斯坦牛的育种计划,尽管它的遗传进展只能在长期内看到。由于MT和MY之间的遗传相关性估计的准确性较低,95%后验密度区间的范围较高,本研究不能肯定挤奶气质性状的选择会对产奶量产生影响。因此,每头牛需要更多的数据,需要观察和测量更多的奶牛,以提高这些相关性估计的可靠性,从而能够准确地解释结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows
Dairy cattle with poor temperament can cause several inconveniences during milking, leading to labor difficulties, increasing the risk of accidents with animals and workers, and compromising milk yield and quality. This study aimed to estimate variance components and genetic parameters for milking temperament and its genetic correlations with milk yield in crossbred Holstein-Gyr cattle.Data were collected at three commercial farms, resulting in 5,904 records from 1,212 primiparous and multiparous lactating cows. Milking temperament (MT), measured as the milking temperament of each cow, was assessed during pre-milking udder preparation (RP) and when fitting the milking cluster (RF) by ascribing scores from 1 (cow stands quietly) to 8 (the cow is very agitated, with vigorous movements and frequent kicking). The number of steps and kicks were also recorded during pre-milking udder preparation (SRP and KRP, respectively) and when fitting the milking cluster (SRF and KRF, respectively). Milk yield (MY) was obtained from each farm database. In two of them, MY was recorded during the monthly milk control (that could or could not coincide with the date when the milking temperament assessments were carried out) and in the remaining farm, MY was recorded on the same day that the milking temperament assessments were made. Genetic parameters were estimated using the THRGibbs1f90 program applying a threshold model, which included 89 contemporary groups as fixed effects, animal age at the assessment day and the number of days in milking as covariates, and direct additive genetic and residual effects as random effects.The heritability estimates were MT= 0.14 ± 0.03 (for both, MRP and MRF), MY= 0.11 ± 0.08, SRP= 0.05 ± 0.03, KRP= 0.14 ± 0.05, SRF= 0.10 ± 0.05, and KRF= 0.32 ± 0.16. The repeatability estimates were 0.38 ± 0.05, 0.42 ± 0.02, and 0.84 ± 0.006 for MTRP, MTRF, and MY, respectively; and 0.38 ± 0.02, 0.30 ± 0.07, 0.52 ± 0.02, and 0.46 ± 0.15 for SRP, KRP, SRF, and KRF, respectively. The estimates of most genetic correlation coefficients between MTRP-MTRF were all strong and positive (MTRR-MTRF= 0.63 ± 0.10, MTRP-SRP= 0.65 ± 0.12, MTRP-KRP= 0.56 ± 0.16, MTRF-SRF= 0.77 ± 0.06, and MTRF-KRF= 0.56 ± 0.34) except for MY (MTRP-MY= 0.26 ± 0.26 and MTRF-MY= 0.21 ± 0.23). Despite the low magnitude of MT heritability, it can be included as a selection trait in the breeding program of Holsteins-Gyr cattle, although its genetic progress will be seen only in the long term. Due to the low accuracy of the genetic correlation estimates between MT and MY and the high range of the 95% posterior density interval, it cannot be affirmed by this study that the selection of a milking temperament trait will infer on milk yield. More data is therefore needed per cow and more cows need to be observed and measured to increase the reliability of the estimation of these correlations to be able to accurately interpret the results.
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CiteScore
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