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Estimates of repeatability coefficients and selection gains in Jatropha indicate that higher cumulative genetic gains can be obtained by relaxing the degree of certainty in predicting the best families.

机译:麻疯树的可重复性系数和选择增益的估计表明,通过放宽预测最佳家族的确定性程度,可以获得更高的累积遗传增益。

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The aim of this study was to estimate the repeatability coefficient of grain production in Jatropha, the minimum number of measurements needed to reliably predict the genetic value of selected families, and to determine the cumulative genetic gains when considering the selection of the best families based on different number of measurements. The experiment was conducted with 175 accessions (half-siblings progenies derived from selected plants in the field) that compose part of a germplasm collection. Such bank was established in a randomized block design with two blocks. In each block a given accession was represented in a 5 plant/plot scheme (half-siblings). For the analysis, yield data obtained in the years of 2009-2012 were considered. The results of this study indicate that the repeatability coefficient of grain production in Jatropha is low (0.37), but comparable to other perennial species, and that to achieve reliabilities of 70 and 80% in the prediction of breeding values of selected families, 4 and 7 years of evaluation, respectively, are needed. The results of this study also indicate that the efficiency of early selection seems to be small in Jatropha since the coincidence rate of selected genotypes at early age (1 or 2 years of evaluation) and genotypes selected in adult age (4 years assessment) is small (17-23%). Finally, taking into account the repeatability coefficients and coefficients of determination, in a hypothetical period of 21 years (which is equivalent to three selection cycles using seven consecutive measurements - R2=80%), this paper demonstrates that higher cumulative genetic gains can be obtained (159% over 108%) by relaxing the degree of certainty in predicting the best families (R2=65% instead of R2=80%), since it makes possible to perform a greater number of selection cycles in the same period (7 cycles instead of 4).
机译:这项研究的目的是估计麻疯树谷物生产的可重复性系数,可靠地预测所选家庭遗传价值所需的最少测量次数,以及在考虑基于以下因素选择最佳家庭时确定累积遗传增益不同数量的测量。用构成种质收集部分的175个种质(半田后代来自田间选定的植物)进行了实验。这样的库是在具有两个区块的随机区块设计中建立的。在每个块中,给定的种质以5种植物/地块方案(半兄弟姐妹)表示。为了进行分析,考虑了2009-2012年获得的产量数据。这项研究的结果表明,麻疯树的谷物生产可重复性系数很低(0.37),但与其他多年生物种相当,在预测所选科目的育种价值时,其可靠性达到70%和80%,4和7。分别需要7年的评估。这项研究的结果还表明,在麻风树中,早期选择的效率似乎很小,因为在早期年龄(评估为1或2年)和成年年龄(4年评估)选择的基因型的符合率很小。 (17-23%)。最后,考虑到重复性系数和确定系数,在一个假设的21年(相当于使用七个连续测量的三个选择周期-R 2 = 80%)的情况下,本文证明了通过放宽预测最佳家族的确定性(R 2 = 65%而不是R 2 ),可以获得更高的累积遗传增益(159%超过108%) = 80%),因为可以在同一时间段内执行更多的选择周期(7个周期而不是4个周期)。

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