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Genotype-by-environment interactions for grain yield of Valencia groundnut genotypes in East and Southern Africa

机译:东非和南部非洲不同环境类型间瓦伦西亚花生基因型产量的基因型相互作用

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Grain yield is a quantitatively inherited trait in groundnut (Arachis hypogea L.) and subject to genotype by environment interactions. Groundnut varieties show wide variation in grain yield across different agro-ecologies. The objectives of this study were to evaluate Valencia groundnut genotypes for yield stability and classify environments to devise appropriate breeding strategies. Seventeen multi-location trials were conducted in six countries, viz., Malawi, Tanzania, Uganda, Zimbabwe, Mozambique and Zambia, from 2013 to 2016. The experiments were laid out following a resolvable incomplete block design, with two replications at each location (hereafter referred to as ‘environments’) using 14 test lines and two standard checks. The additive main effects and multiplicative interaction (AMMI) analysis was conducted. Variation attributable to environments, genotypes and genotype × environment interaction for grain yield was highly significant (P<0.001). Genotype, environment and genotype × environment interactions accounted for 7%, 53 % and 40% of the total sum of squares respectively. Superior-performing genotypes possessing high to moderate adaptability and stability levels included ICGV-SM 0154, ICGV-SM 07539, ICGV-SM 07536, ICGV-SM 7501, ICGV-SM 99568 and ICGV SM 07520. Nachingwea 2013 in Tanzania, Nakabango 2014 in Uganda and Chitedze 2015 in Malawi were the most representative and discriminative environments. Considering the implications of interactions for Valencia groundnut breeding in East and Southern Africa we propose that different varieties should be targeted for production in different environments and at the same time used for breeding in specific environments.
机译:谷物产量是花生(花生)的一种定量遗传性状,受环境相互作用而受基因型影响。花生品种在不同农业生态中的谷物产量差异很大。这项研究的目的是评估巴伦西亚花生基因型的产量稳定性,并对环境进行分类以制定适当的育种策略。 2013年至2016年,在六个国家(即马拉维,坦桑尼亚,乌干达,津巴布韦,莫桑比克和赞比亚)进行了17个多地点试验。试验是根据可解决的不完整区块设计进行的,每个地点重复两次(以下称为“环境”)使用14条测试线和两次标准检查。进行了加性主效应和乘法相互作用(AMMI)分析。环境,基因型和基因型×环境相互作用对籽粒产量的影响极显着(P <0.001)。基因型,环境和基因型×环境的相互作用分别占总平方和的7%,53%和40%。具有高至中度适应性和稳定性水平的表现优异的基因型包括ICGV-SM 0154,ICGV-SM 07539,ICGV-SM 07536,ICGV-SM 7501,ICGV-SM 99568和ICGV SM07520。2013年,坦桑尼亚的Nachingwea,2014年,Nakabango马拉维的乌干达和Chitedze 2015是最具代表性和歧视性的环境。考虑到相互作用对东部和南部非洲巴伦西亚花生育种的影响,我们建议应针对不同品种在不同环境中生产并同时在特定环境中用于育种。

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