Genetic and phenotypic parameters of milk yield, milk composition and age at first kidding in Saanen goats from Mexico
Genetic and phenotypic parameters of milk yield, milk composition and age at first kidding in Saanen goats from Mexico
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DOI：
10.1016/j.livsci.2009.06.008
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发表时间：
2009-12-01
影响因子：
1.8
通讯作者：
Montaldo, H. H.
中科院分区：
文献类型：
--
作者：
Torres-Vazquez, J. A.;Valencia-Posadas, M.;Montaldo, H. H.
分析了 1999 年至 2006 年从墨西哥瓜纳华托 10 个畜群获取的 1520 只萨能山羊的 4007 份泌乳记录，以估计遗传力、重复性以及产奶量 (MILK)、脂肪产量 (FAT)、蛋白质产量 (PROT)、脂肪含量 (VAT)、蛋白质含量 (%PROT) 和年龄的遗传、环境和表型相关性。起初开玩笑（AFK）。使用五性状重复性模型来估计乳汁性状的（共）方差，并使用首次哺乳记录的四性状动物模型来估计涉及 AFK 的（共）方差。对于牛奶、脂肪、蛋白质、增值税、%蛋白质和 AFK，遗传力估计值为 0.17 +/- 0.04、0.19 +/- 0.05、0.17 +/- 0.04、0.32 +/- 0.06。分别为 0.38 +/- 0.07 和 0.31 +/- 0.09。牛奶、脂肪、蛋白质、增值税和蛋白质百分比的重复性分别为 0.43 +/- 0.02、0.42 +/- 0.02、0.42 +/- 0.02、0.64 +/- 0.02 和 0.63 +/- 0.02。分别。 MILK 和 FAT 之间以及 MILK 和 PROT 之间的遗传相关性很高且呈正相关（分别为 0.72 +/- 0.08 和 0.87 +/- 0.04）。 MILK 和 VAT 之间、MILK 和 %PROT 之间以及 MILK 和 AFK 之间的遗传相关性分别为 - 0.24 +/- 0.16、- 0.30 +/- 0.15 和 - 0.18 +/- 0.23。 AFK 和 FAT 之间以及 AFK 和 PROT 之间的遗传相关性分别为 - 0.09 0.24 和 - 0.17 +/- 0.25； AFK 和 %FAT 之间以及 AFK 和 %PROT 之间的遗传相关性分别为 0.29 +/- 0.35 和 0.14 +/- 0.27。分别。使用可重复性动物模型可以选择牛奶性状。选择产奶性状可能不会增加 AFK。但需要对遗传相关性进行更精确的估计。可以选择降低 AFK。这些（共同）方差估计将使预测不同经济指数的选择响应成为可能，以便最大限度地提高当地市场的经济响应。 (C) 2009 Elsevier B.V. 保留所有权利。
A total of 4007 lactation records from 1520 Saanen goats kidding from 1999 to 2006 and obtained from 10 herds in Guanajuato, Mexico, were analyzed to estimate the heritabilities, repeatabilities, as well as genetic, environmental and phenotypic correlations for milk yield (MILK), fat yield (FAT), protein yield (PROT), fat content (VAT), protein content (%PROT) and age at fist kidding (AFK). A five-trait repeatability model was used to estimate (co)variances for milk traits, and a four-trait animal model for first lactation records was used to estimate (co) variances involving AFK. For MILK, FAT, PROT, VAT, %PROT and AFK, heritability estimates were 0.17 +/- 0.04, 0.19 +/- 0.05, 0.17 +/- 0.04, 0.32 +/- 0.06. 0.38 +/- 0.07 and 0.31 +/- 0.09, respectively. Repeatabilities for MILK, FAT, PROT, VAT and %PROT were 0.43 +/- 0.02, 0.42 +/- 0.02, 0.42 +/- 0.02, 0.64 +/- 0.02, and 0.63 +/- 0.02. respectively. The genetic correlations between MILK and FAT, and between MILK and PROT, were high and positive (0.72 +/- 0.08 and 0.87 +/- 0.04, respectively). Genetic correlations between MILK and VAT, between MILK and %PROT and between MILK and AFK, were - 0.24 +/- 0.16, - 0.30 +/- 0.15 and - 0.18 +/- 0.23, respectively. Genetic correlations between AFK and FAT and between AFK and PROT were - 0.09 0.24 and - 0.17 +/- 0.25, respectively; and genetic correlations between AFK and %FAT and between AFK and %PROT were 0.29 +/- 0.35 and 0.14 +/- 0.27. respectively. Selection for milk traits is possible using a repeatability animal model. Selection for milk production traits would probably not increase AFK. but more precise estimates of the genetic correlations are required. Selection to lower AFK is possible. These (co)variance estimates would make it possible to predict the selection responses from different economic indices in order to maximize the economic responses for the local markets. (C) 2009 Elsevier B.V. All rights reserved.