首页> 外文期刊>Journal of animal science >Genetic parameters for ewe reproductive performance and peri-parturient fecal egg counts and their genetic relationships with lamb body weights and fecal egg counts in Katahdin sheep
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Genetic parameters for ewe reproductive performance and peri-parturient fecal egg counts and their genetic relationships with lamb body weights and fecal egg counts in Katahdin sheep

机译:Katahdin绵羊的母羊生殖性能和围产期粪便卵数的遗传参数及其与羔羊体重和粪便卵数的遗传关系

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This study estimated genetic parameters for ewe reproductive traits [number of lambs born (NLB) and weaned (NLW) per ewe lambing] and fecal egg counts (FEC) during the peri-parturient rise (PPR) for use in genetic evaluation of Katahdin sheep. Data included NLB and NLW for 23,060 lambings by 9,295 Katahdin ewes, 1,230 PPR at lambing (PPR0) for 750 ewes, 1,070 PPR at approximately 30 d postpartum (PPR30) for 611 ewes, BW at birth, weaning, and (or) post-weaning for 12,869 lambs, and FEC at weaning and (or) post-weaning for 4,676 lambs. Direct additive, permanent environmental, and residual (co)variances were estimated in univariate and bivariate animal models. Fixed effects included effects of ewe management group and ewe age for all traits, and, for PPR, a continuous effect of days between lambing and measurement. Effects of litter size on PPR0 and number of lambs suckled on PPR30 were included in univariate models but excluded from bivariate models for PPR and NLB or NLW. Heritability estimates in univariate models for NLB, NLW, PPR0, and PPR30 were 0.09 ± 0.01, 0.06 ± 0.01, 0.35 ± 0.06, and 0.24 ± 0.07, respectively. Estimates of permanent environmental variance as a proportion of total phenotypic variance were 0.02 ± 0.01 for NLB, 0.03 ± 0.01 for NLW, 0.05 ± 0.06 for PPR0, and 0.13 ± 0.07 for PPR30. Direct additive, phenotypic, permanent environmental, and residual correlations between NLB and NLW were 0.88 ± 0.03, 0.74 ± 0.004, 0.54 ± 0.15, 0.74 ± 0.003, respectively; corresponding correlations between PPR0 and PPR30 were 0.96 ± 0.07, 0.46 ± 0.03, 0.98 ± 0.50, 0.18 ± 0.05, respectively. The additive genetic correlation (rd) between ewe reproductive traits and PPR ranged from 0.12 to 0.18. Estimates of rd between lamb BW and subsequent ewe NLB and NLW ranged from 0.07 to 0.20, and those between PPR and lamb BW ranged from ?0.03 to 0.29. The rd between ewe reproductive traits and lamb FEC ranged from 0.27 to 0.40, and those between PPR and lamb FEC ranged from 0.56 to 0.77. Correlations between maternal additive effects on BW and direct additive effects on PPR were low (?0.08 to 0.10), and those between maternal additive effects on BW and direct additive effects on ewe reproductive traits were variable (?0.36 to 0.11). We conclude that FEC in growing lambs and peri-parturient ewes are controlled by similar genes and that modest, but manageable, genetic antagonisms may exist between FEC and ewe productivity.
机译:这项研究估计了母羊繁殖性状的遗传参数[每只母羊羔羔的出生羔羊数(NLB)和断奶数(NLW)]和围产期上升(PPR)期间的粪便卵数(FEC),用于对卡塔赫丁羊进行遗传评估。数据包括9,295头Katahdin母羊的23,060头羔羊的NLB和NLW,750头母羊的羔羊(PPR0)的1,230 PPR,产后30天(PPR30)的611母羊的1,070 PPR,出生,断奶和(或)产后体重断奶12,869只羔羊,断奶前和(或)断奶后FEC分离4,6​​76只羊羔。在单变量和双变量动物模型中估计了直接累加,永久环境和残留(协)方差。固定的影响包括母羊管理小组和所有特征的母羊年龄的影响,以及对于PPR,从产羔到测量之间持续几天的影响。单变量模型包括产仔数对PPR0和在PPR30上哺乳的羔羊数量的影响,但对PPR和NLB或NLW的双变量模型除外。在NLB,NLW,PPR0和PPR30的单变量模型中,遗传力估计分别为0.09±0.01、0.06±0.01、0.35±0.06和0.24±0.07。永久性环境差异估计值占总表型差异的比例为:NLB为0.02±0.01,NLW为0.03±0.01,PPR0为0.05±0.06,PPR30为0.13±0.07。 NLB和NLW之间的直接加性,表型,永久环境和残留相关性分别为0.88±0.03、0.74±0.004、0.54±0.15、0.74±0.003; PPR0和PPR30之间的对应相关性分别为0.96±0.07、0.46±0.03、0.98±0.50、0.18±0.05。母羊生殖性状与PPR之间的加性遗传相关性(rd)介于0.12至0.18之间。羔羊体重与随后的母羊NLB和NLW之间的rd估计范围为0.07至0.20,而PPR和羔羊体重之间的rd估计范围为0.03至0.29。母羊生殖性状与羔羊FEC之间的rd介于0.27至0.40之间,PPR与羔羊FEC之间的rd介于0.56至0.77之间。母体对BW的加性效应与PPR的直接加性效应之间的相关性较低(约0.08至0.10),而母体对BW的加性效应与母羊生殖性状的直接加性之间的相关性可变(约0.36至0.11)。我们得出的结论是,成年羔羊和围产期母羊的FEC受相似基因控制,FEC和母羊生产力之间可能存在适度但可控的遗传拮抗作用。

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