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首页> 外文期刊>The Indian Journal of Animal Sciences >Comparison of heritabilty estimates from time series and least squares adjustments in Sahiwal cattle
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Comparison of heritabilty estimates from time series and least squares adjustments in Sahiwal cattle

机译:Sahiwal牛的时间序列和最小二乘平差的遗传力估计值比较

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摘要

The data on 594 first lactation records of Sahiwal cows spread over 46 years (1961-2006) were analyzed by least squares and time series analyses for ascertaining correction factors to adjust the data for non-genetic factors to estimate heritability of first lactation traits. The traits considered were, age at first calving (AFC), first lactation total milk yield (FLTMY), first lactation 305-day or less yield (FL305DMY), first lactation length (FLL), first dry period (FDP), first service period (FSP) and first calving interval (FCI). A least-squares model incorporating 15 periods (3 years each), 12 months and AFC as co variable was fitted for all the traits except for AFC (Set-1). Least squares model comprising months, exact periods (3-7 years for various traits) and AFC as co variable comprised Set-III and Set-IV incorporated data adjusted by AFC, exact periods (3-7 years) and by monthly indices derived from time series analysis. The data were adjusted for significant non-genetic factors to estimate heritability from all the four sets. Higher estimates of heritability of majority of the traits from data adjusted by monthly indices and exact periods derived from time series analysis as compared to least squares adjustments revealed that the correction factors derived from time series analysis seem to be more appropriate to adjust the animal breeding data for non-genetic factors in Sahiwal cattle.
机译:通过最小二乘法和时间序列分析,分析了46年(1961-2006年)中Sahiwal奶牛的594次首次泌乳记录的数据,以确定校正因子,以调整非遗传因子的数据,以估算首次泌乳性状的遗传力。考虑的特征是初产犊的年龄(AFC),初次泌乳的总产奶量(FLTMY),初次泌乳的305天或更短的泌乳量(FL305DMY),初次哺乳的长度(FLL),初干期(FDP),首次使用期间(FSP)和第一产犊间隔(FCI)。除AFC(Set-1)外,所有特征均采用最小二乘模型,该模型包含15个时期(每个3年),12个月和AFC作为协变量。最小二乘模型,包括月份,准确期(各种特征的3-7年)和AFC作为协变量,包括由AFC,准确期(3-7年)和由以下得出的月度指数调整的Set-III和Set-IV合并数据时间序列分析。针对重要的非遗传因素对数据进行了调整,以评估所有四组的遗传力。与最小二乘方调整相比,通过按月指数和时间序列分析得出的确切时期调整的数据与最小二乘调整相比,对大多数性状的遗传力有更高的估计,这表明从时间序列分析得出的校正因子似乎更适合于调整动物育种数据Sahiwal牛的非遗传因素。

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