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Theoretical analyses of testing efficiency in long-term breeding of poplar

机译:杨树长期育种试验效率的理论分析

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The major goal for long-term poplar breeding can be formulated as maximizing annual progress in Group Merit Gain at a given annual budget (GMG/Y~*). To evaluate different breeding scenarios, a deterministic simulator BREEDING CYCLE ANALYZER covering the most important aspects (gain, cost, time, technique, and gene diversity) of a full breeding cycle was used. The breeding strategies considered was based on pairwise crossing of the selected breeding population and balanced within family selection for the next breeding population. A main scenario and a number of alternative scenarios within these constraints were evaluated using estimates of the best available inputs for poplars. In focus was a comparison between three different testing scenarios for selecting the parents mated to create future breeding generations, thus selecting based on phenotype, clone test or progeny test. For the main scenario, the highest GMG/Y, and the optimal selection age for clone, phenotype and progeny strategies were 0.7480%, 0.6989% and 0.4675%; 7, 6, and 11 years respectively. Clone test was best except when heritability was high, plant price was high or total budget was low; phenotype strategy was the second except for the case of extremely low narrow-sense heritability, for which the progeny strategy was a little more efficient than phenotype strategy. GMG/Y was markedly affected by narrow-sense heritability, additive variance at mature age, rotation age, plant-dependent cost, total budget and the time needed to produce the test plants, while diversity loss and recombination cost had rather weak effect on GMG/Y. Short rotation age and cheap testing cost favoured all three testing strategies. Comparably short rotation age, low plant-dependent cost and high total budget seem to promote early selection for progeny strategy.
机译:杨树长期育种的主要目标可以制定为:在给定的年度预算(GMG / Y〜*)下,最大程度地提高群体功绩的年度进展。为了评估不同的育种场景,使用了确定性模拟器“育种周期分析器”,该分析器涵盖了整个育种周期的最重要方面(收益,成本,时间,技术和基因多样性)。所考虑的育种策略是基于选定育种种群的成对杂交,并在下一个育种种群的家庭选择中达到平衡。使用对杨树的最佳可用输入的估计,评估了这些约束条件下的主要情景和许多替代情景。重点是在三种不同的测试方案之间进行比较,以选择要交配以创建未来繁殖代的亲本,从而根据表型,克隆测试或后代测试进行选择。对于主要情况,克隆,表型和后代策略的最高GMG / Y以及最佳选择年龄分别为0.7480%,0.6989%和0.4675%。分别是7年,6年和11年。克隆测试最好,除非遗传力高,植物价格高或总预算低。表型策略是第二种,除了极低的窄义遗传力外,后代策略比表型策略更有效。 GMG / Y受狭义的遗传力,成熟年龄的加性方差,轮换年龄,与植物有关的成本,总预算和生产试验植物所需的时间的显着影响,而多样性丧失和重组成本对GMG的影响则较弱/ Y。轮换时间短和廉价的测试成本对这三种测试策略均有利。轮换年龄短,植物相关成本低和总预算高似乎促进了后代策略的早期选择。

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