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Determining the Optimal Age For Selection by Modelling the Age-Related Trends in Genetic Parameters in Eucalyptus Hybrid Populations

机译:通过对桉树杂交种群的遗传参数中与年龄相关的趋势进行建模来确定最佳选择年龄

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Ten factorial mating designs using a combined total of 88 females, 107 males, 684 families and 37,206 individual trees were used to model the age-related trends in genetic parameters and genetic gain between four and 65 months in the Eucalyptus urophylla x grandis breeding population in Republic of Congo. Selection was either of pure species (as parents for continued breeding) or individual hybrids for commercial plantations based on clonal varieties. The variance components were significantly different from zero for female, male and female-by-male interaction effects for volume. The age-related trends in additive, dominance and environmental variances, modelled by nonlinear functions, showed three phases corresponding to different stages of competition and growth. Male and female narrow sense heritabilities were high (h~2_(Am)= 0.70 and h~2_(Af) = 0.90, respectively for highest estimates) compared with individual broad sense heritability (h~2_(ind) = 0.45). They were modelled by polynomial functions that did not display specific trends with age. The age-age correlations, modelled by a response surface, were higher than 0.8 after 36 months. A similar trend with age was observed for additive and total genetic effects. Genetic gain was calculated bycombining the different models. The genetic gain was higher for female than for male. Considerable gains can be achieved by clone selection. The efficiency of selection indicated an optimal age of 54 months for juvenile selection of males and females and a mature age for ortets. The trend in efficiency of selection per time unit showed that juvenile selection for volume is much more efficient than adult selection whatever the age.
机译:十个因子交配设计使用了总共​​88例雌性,107例雄性,684个科和37,206棵单独的树,用于模拟尾叶桉(Eucalyptus urophylla x grandis)繁殖种群在4至65个月内与年龄相关的遗传参数和遗传增益趋势。刚果共和国。可以选择纯种(作为继续育种的亲本),也可以选择基于克隆品种的商业化人工杂交种。对于女性,男性以及女性与男性之间的互动影响,方差分量显着不同于零。用非线性函数建模的与年龄相关的加性,支配性和环境方差趋势显示出三个阶段,分别对应于竞争和增长的不同阶段。与个人广义遗传力(h〜2_(ind)= 0.45)相比,男性和女性的狭义遗传力较高(分别为h〜2_(Am)= 0.70和h〜2_(Af)= 0.90为最高估计值)。它们是通过多项式函数建模的,该多项式函数不会随年龄显示特定趋势。用响应面建模的年龄相关性在36个月后高于0.8。对于加性和总遗传效应,观察到与年龄相似的趋势。通过组合不同的模型来计算遗传增益。女性的遗传增益高于男性。通过克隆选择可以获得相当大的收益。选择的效率表明,男性和女性的青少年选择的最佳年龄为54个月,而花鸟的成熟年龄为。每个时间单位的选择效率趋势表明,无论年龄大小,少年量选择比成人选择更有效率。

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