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首页> 外文期刊>International Journal of Plant Breeding and Genetics >GenotypexEnvironment Analysis of Some Yield Components of Upland Rice (Oryza sativa L.) Under Two Ecologies in Nigeria
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GenotypexEnvironment Analysis of Some Yield Components of Upland Rice (Oryza sativa L.) Under Two Ecologies in Nigeria

机译：尼日利亚两种生态下旱稻某些产量构成成分的基因型x环境分析

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Seasonal variation in the grain yield of rice in upland tropical ecology stimulate the compelling need to develop a fairly stable cultivar for the low input farmers across fairly wide cultivation zones. Yield analysis has always been the main focus but the complex interaction of the panicle and grain attributes are equally important. Fifteen upland rice {Oryza sativa L.) varieties were cultivated in five environments in Ago-Iwoye (rain forest ecology) and Ayetoro (derived savannah ecology) of South Western Nigeria. Data were collected on panicle and grain yield characters and subjected to genotype by environment analysis using the additive main effect and multiplicative interaction, AMMI and the genotype and genotype and environment interaction (GGE). From the AMMI analysis, the genotype, environment and the interaction components jointly captured 71.8% of the total sum of squares (TSS). The environment accounted for 62.25% of treatment sum of squares while the interaction and genotype portion was26.8 and 10.95%, respectively. The GGE biplot summarized 64.2% of the interaction component and separated the genotypes and cultivation environments into three groups. The GGE Interaction Principal Component Axis (IPCA) 1 was significantly correlated with grain length (-0.621) while the GGE IPCA 2 had significant correlation with primary branching (0.636) and spikelets fertility (-0.604). WAB (96-1-1) had the highest grain production and appeared to be adaptable to E3 and E5 which are low rainfall environments. Other matters important to genotype by environment interaction as a guide for development of high yielding and fairly stable varieties are discussed.
机译：陆地热带生态系统中稻米产量的季节性变化刺激了迫切需要为相当宽的耕种区的低投入农民开发一种相当稳定的品种。产量分析一直是主要的研究重点，但穗和谷物属性之间的复杂相互作用同样重要。在尼日利亚西南部的Ago-Iwoye（雨林生态系统）和Ayetoro（衍生的热带稀树草原生态系统）的五个环境中种植了15个旱稻（Oryza sativa L.）品种。收集有关穗和籽粒产量性状的数据，并通过环境分析使用加性主效应和乘性相互作用，AMMI以及基因型和基因型与环境相互作用（GGE）进行基因型分析。根据AMMI分析，基因型，环境和相互作用成分共同捕获了总平方和（TSS）的71.8％。环境占处理平方和的62.25％，而相互作用和基因型部分分别为26.8％和10.95％。 GGE双谱图总结了64.2％的相互作用成分，并将基因型和栽培环境分为三类。 GGE相互作用主成分轴（IPCA）1与籽粒长度（-0.621）显着相关，而GGE IPCA 2与初级分支（0.636）和小穗的繁殖力（-0.604）显着相关。 WAB（96-1-1）的谷物产量最高，似乎适合低雨量环境下的E3和E5。讨论了通过环境相互作用对基因型重要的其他事项，以指导开发高产和相当稳定的品种。

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