马相思第三代遗传稳定性观察:环境互作评价基因型在代前育种策略中的重要性

IF 1.8 Q2 FORESTRY
Arif Nirsatmanto, Sri Sunarti, Asri Insiana Putri, Liliek Haryjanto, Noor Khomsah Kartikawati, Toni Herawan, Fajar Lestari, Sugeng Pudjiono, Anto Rimbawanto
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引用次数: 0

摘要

通过采用循环选择系统和亚衬育种群体,相思育种计划已进入高级代育种周期。遗传变异在世代间的变化会影响其在大范围内的遗传稳定性。本研究的目的是观察在印度尼西亚三个不同地点建立的mangium第三代后代试验的遗传稳定性。进行了分析,包括高度、直径和茎分叉的单位点和多位点分析,并根据试验的遗传背景分为两组分析:SET01用于单一子系,SET02用于复合子系。然后利用多性状指数选择确定多性状的家族变化等级和遗传增益预测。结果表明,单位点分析育种策略中采用的循环选择系统可以在第三代后代试验中保持足够的遗传变异。几乎所有性状的家族遗传率均为中高。然而,在单亚系群体(SET01)的多位点分析中,存在较强的遗传-环境互作(G × E),表明在预测更大范围的环境时,遗传变异不够充分,B型遗传相关性较低。相反,从几个子系中选择家族(SET02)可以降低G × E的强度,增加B型相关。选择和遗传增益预测对SET02的多位点分析更有效,而对SET01的多位点分析效果较差。结果表明,采用循环选择系统进行马尾麻高级代育种应考虑种群结构。通过从多个子品系中选择优势家族组成一个育种群体,既能保持较高的遗传稳定性,又能提高遗传多样性和生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic stability observed in third-generation progeny trial of Acacia mangium : the importance of genotype by environment interaction assessment in advance generation breeding strategy
The breeding program for Acacia mangium has entered advanced-generation breeding cycles through adopting a recurrent selection system and a sub-lining breeding population. Genetic variation changes along the successive generations could affect its genetic stability on wide ranges of sites. The aim of this study is to observe genetic stability in third-generation progeny trials of A. mangium established at three different sites in Indonesia. Analysis was conducted, including single-site and multi-sites analyses for height, diameter, and stem forking that were grouped into two sets of analysis based on the genetic background of the trial: SET01 for the single sub-line and SET02 for the composite sub-lines. Index selection for multiple-traits was then used to identify the family changing ranks for multiple-traits and genetic gain prediction. The results showed that the recurrent selection system adopted in the breeding strategy for single-site analysis could maintain sufficient genetic variance of A. mangium in the third-generation progeny trial. Family heritability was moderate to high for almost all traits. However, a strong genetic-environment interaction (G × E) exists in multi-sites analysis for the single sub-line population (SET01), indicating a less sufficient genetic variation and a low Type B genetic correlation in anticipating a wider range of environment. On the contrary, compositing selected family from several sub-lines (SET02) could diminish the strength of G × E and increase Type B correlation. Selection and genetic gain prediction could be more effective in multi-sites analysis for SET02, but it was less effective for SET01. The results imply that adopting a recurrent selection system in advanced-generation breeding of A. mangium should consider structuring the breeding population. It could be practiced by compositing selected superior families from several sub-lines into one breeding population to maintain high genetic stability, while increasing genetic diversity and productivity.
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来源期刊
CiteScore
3.30
自引率
5.30%
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审稿时长
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