利用最佳线性无偏预测（BLUP）分析高羊茅全同胞家系的遗传参数和选择。
Genetic parameters and selection in full-sib families of tall fescue using best linear unbiased prediction (BLUP) analysis.
机构信息
Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
Department of Animal Science, College of Agriculture, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
出版信息
BMC Plant Biol. 2022 Jun 14;22(1):293. doi: 10.1186/s12870-022-03675-w.
BACKGROUND
Better understanding of genetic structure of economic traits is crucial for identification and selection of superior genotypes in specific breeding programs. Best linear unbiased prediction (BLUP) is the most efficient method in this regard, which is poorly used in forage plant breeding. The present study aimed to assess genetic variation, estimate genetic parameters, and predict breeding values of five essential traits in full sib families (recognized by EST-SSR markers) of tall fescue using REML/BLUP procedure.
METHOD
Forty-two full-sib families of tall fescue (included of 120 individual genotypes), recognized by EST-SSR markers along with twenty-one their corresponding parental genotypes were assessed for biomass production and agro-morphological traits at three harvests (spring, summer, and autumn) in the field during 4 years (2017-2020).
RESULTS
Considerable genotypic variability was observed for all traits. Low narrow-sense heritability (h) for dry forage yield (DFY) at three harvest indicates that non-additive gene actions may play an important role in the inheritance of this trait. Higher h of yield related traits and flowering time and also significant genetic correlation of these traits with forage yield, suggests that selection based on these traits may lead to indirect genetic improvement of DFY.
CONCLUSION
Our results showed the adequacy of REML/BLUP procedure for identification and selection of preferable parental genotypes and progenies with higher breeding values for future breeding programs such as variety development in tall fescue. Parental genotypes 21 M, 1 M, and 20 L were identified as superior and stable genotypes and could also produce the best hybrid combinations when they were mostly used as maternal parent.
背景
更好地了解经济性状的遗传结构对于在特定的育种计划中识别和选择优良基因型至关重要。最佳线性无偏预测（BLUP）是这方面最有效的方法，但在牧草植物育种中应用较少。本研究旨在利用 REML/BLUP 程序评估高羊茅全同胞家系（通过 EST-SSR 标记识别）的五个重要性状的遗传变异、估计遗传参数和预测育种值。
方法
用 EST-SSR 标记识别的 42 个高羊茅全同胞家系（包括 120 个个体基因型），以及 21 个相应的亲本基因型，在 4 年（2017-2020 年）的 3 个收获期（春季、夏季和秋季）在田间评估生物量产量和农艺形态性状。
结果
所有性状均观察到相当大的基因型变异性。三个收获期干牧草产量（DFY）的窄义遗传力（h）较低，表明非加性基因作用可能在该性状的遗传中起重要作用。与产量相关的性状和开花时间的 h 较高，以及这些性状与牧草产量的遗传相关性显著，表明基于这些性状的选择可能导致 DFY 的间接遗传改良。
结论
我们的结果表明，REML/BLUP 程序适用于鉴定和选择具有较高育种值的优良亲本基因型和后代，以用于未来的育种计划，如高羊茅品种的开发。亲本基因型 21M、1M 和 20L 被鉴定为优良且稳定的基因型，当它们主要用作母本时，也可以产生最佳的杂交组合。
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