Association between line per se and testcross performance for eight agronomic and quality traits in winter rye
Association between line per se and testcross performance for eight agronomic and quality traits in winter rye
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DOI：
10.1007/s00122-013-2198-2
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发表时间：
2013-09
影响因子：
5.4
通讯作者：
T. Miedaner;D. Schwegler;P. Wilde;J. Reif
中科院分区：
文献类型：
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作者：
T. Miedaner;D. Schwegler;P. Wilde;J. Reif
关键信息我们调查了黑麦品系本身与测交性能之间的关联，并提出在多阶段选择程序中，品系本身与测交性能之间的基因型相关是优化杂交育种程序的重要数量遗传参数。本研究的主要目的是在表型水平上研究品系本身与测交表现的关联。我们使用的实验数据，从行本身和测交表现的两个分离的冬黑麦群体（A，B）与每个220个后代在6个环境中测试的8个农艺性状和品质性状。基因型方差是相当大的本身比测交性能的所有调查的性状，在大多数情况下，前者的遗传力较高。测交和品系本身表现之间的基因型相关（rg）随着性状复杂性的增加而降低，如各自的遗传力所示。群体B的株高和容重最高（rg≥ 0.7），两个群体的千粒重、降落数和淀粉含量最高。选择这些性状在早期世代表现为品系本身的表现，将在进一步测试测交性能时节省田间地块，并提高杂交育种的效率。
Key messageWe investigated associations between line per se and testcross performance in rye and suggested that selection for per se performance is valuable for several traits in multi-stage selection programs.AbstractGenotypic correlation between line per se and testcross performance is an important quantitative-genetic parameter for optimizing hybrid breeding programs. The main goal of this survey was to study the association of line per se and testcross performance at the phenotypic level. We used experimental data from the line per se and testcross performance of two segregating winter rye populations (A, B) with each of 220 progenies tested in six environments for eight agronomic and quality traits. Genotypic variances were considerably larger for per se than for testcross performance of all investigated traits resulting in higher heritabilities of the former in most instances. Genotypic correlations (rg) between testcross and line per se performance decreased with increasing complexity of the trait as shown by the respective heritabilities. They were highest (rg≥ 0.7) for plant height and test weight in population B, and thousand-kernel weight, falling number and starch content in both populations. A selection of these traits for line per se performance in early generations will save field plots in further testing testcross performance and increase efficiency of hybrid breeding.