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首页> 外文期刊>The Indian Journal of Animal Sciences >Genetic analysis of trends in production and reproduction traits over years using regression methods in Sahiwal cows
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Genetic analysis of trends in production and reproduction traits over years using regression methods in Sahiwal cows

机译:三年奶牛回归方法多年来产量和繁殖性状趋势的遗传分析

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摘要

The present study was conducted on first lactation performance records of 820 Sahiwal cows maintained at NDRI, Karnal spread over 54 years (1962-2015) to study the effect of genetic and non-genetic factors on production and reproduction traits, to estimate genetic parameters and the genetic trends by different methods. The traits considered were age at first calving (AFC), first lactation 305 days milk yield (FL305DMY), first lactation total milk yield (FLTMY), first lactation length (FLL) and first calving interval (FCI). The effect of genetic and non-genetic factors like sire, month of birth/calving, period of birth/calving, AFC group and first service period group on normalized production and reproduction traits was assessed by GLM function of Statistical Analysis System (SAS Institute Inc., version 9.2). Paternal half sib correlation method was used to estimate the heritability of different characters. Phenotypic trend per year was estimated as the linear regression of the phenotypic value (P) on time (year). The genetic trend were estimated by Smith I, Smith II, BLUP (Sire Model), BLUP Animal Model methods respectively. The effect of sire was significant for all traits except calving interval. Effect of month was significant for all the traits except for FLTMY. Effect of period was significant for all the traits except FCI. Effect of AFC group was not significant on FCI. The heritability estimates of AFC, FL305DMY, FLTMY, and FLL were 0.45 +/- 0.14, 0.18 +/- 0.11, 0.19 +/- 0.10, 0.16 +/- 0.09, respectively. The repeatability estimate for FL305DMY was 0.45 +/- 0.17. The phenotypic trend of FL305DMY, FLTMY, FLL, AFC and FCI was -19.85 +/- 2.17 kg, -26.06 +/- 2.4 kg, -3.22 +/- 0.26 days, -0.05 +/- 0.31days and 0.041 +/- 0.47 days respectively per year and were statistically significant. Genetic trends were positive, significant and in desirable direction in production traits. Regression methods used for the estimation of genetic trends BLUP (Sire Model), BLUP Animal Model are superior to traditional methods because of small standard error. Low magnitude of genetic trend and unfavorable environmental trends indicated the need to increase herd size and improvement in managemental practices. Thus, dairy genetic improvement programmes needed to be redesign appropriate strategies that would be more beneficial to the currently changing scenarios.
机译:本研究是在第一次哺乳期疾病记录中进行的,在820个Sahiwal牛维护的第一个哺乳期患者,KARNAL超过54岁(1962-2015),以研究遗传和非遗传因素对生产和繁殖性状的影响,估算遗传参数和不同方法的遗传趋势。曾经考虑的特质是第一次产犊(AFC)的年龄,第一次哺乳期305天奶产率(FL305DMY),第一哺乳期总牛奶产率(FLTMY),第一乳液长度(FLL)和第一产犊间隔(FCI)。统计分析系统的GLM功能评估了遗传和非遗传因素,出生/产犊,出生/产犊,出生期间,AFC集团和第一阶段归一流生产和生殖特征的第一个服务期间的影响(SAS Institute Inc 。,版本9.2)。父亲半SIB相关方法用于估计不同特征的可遗传性。每年表型趋势估计是表型价值(P)按时(年)的线性消退。史密斯I,Smith II,Blup(Sire Model),分别估计了遗传趋势。除了Calping间隔之外的所有特征,Sire的效果都很重要。对于除FLTMY之外的所有特征的效果很重要。对于除FCI之外的所有特征,期间的效果很大。 AFC组对FCI的影响并不重要。 AFC,FL305DMY,FLTMY和FLL的可遗传性估计分别为0.45 +/- 0.14,0.18 +/- 0.11,0.19 +/- 0.10,0.16 +/- 0.09。 FL305DMY的可重复性估计为0.45 +/- 0.17。 FL305DMY,FLTMY,FLL,AFC和FCI的表型趋势为-19.85 +/- 2.17公斤,-26.06 +/- 2.4 kg,-3.22 +/- 0.26天,-0.05 +/- 0.31天和0.041 +/-每年0.47天,统计学意义。遗传趋势在生产性状中是积极的,重要的和理想的方向。用于估计遗传趋势的回归方法Blup(SIRE模型),由于标准误差小,Blup Anims模型优于传统方法。遗传趋势低的程度和不利的环境趋势表明需要增加畜群大小和改善管理实践。因此,乳制品遗传改进计划需要重新设计对目前不断变化的情景更有利的策略。

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