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Grain yield performance and stability analysis of rice varieties under rainfed lowland conditions of Western Visayas, Philippines

机译:菲律宾西米沙ya低雨条件下水稻品种的籽粒产量表现和稳定性分析

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摘要

The use of adaptable and high-yielding varieties is one of the key factors in achieving rice sufficiency in the country. To identify the suitable rice varieties for the rainfed lowland ecosystems of Western Visayas, Philippines, a variety trial was conducted in the six provinces in the region. Thirty rice varieties comprised of new and old varieties released by the National Seed Industry Council (NSIC) intended for different rice ecosystems were tested in the six provinces of Western Visayas. Grain yield data were analyzed using combined analysis of variance (ANOVA) to determine the effects of factors such variety (V), location (L), and location x variety (L x V) which is basically genotype by environment interaction effect. To further understand the effect of G x E interaction, GGE biplot analysis which graphically presented the GE interaction and AMMI analysis was done. GGE biplot analysis generated data that identified the presence of mega-environments and the best performing varieties across locations and within location. Yield stability of different rice varieties across environments was evaluated using four stability parameters performed in accordance with Wricke's ecovalence (W-i(2)), Lin et al. (1988) cultivar superiority measure (Pi), Finlay and Wilkinson (1963) sensitivity analysis, and static stability measure coefficient (s(2)). Combine analysis of variance (SAS) and AMMI analysis determined the presence a large and significant GE interaction on the grain yield responses of rice genotypes tested on six environments. Among the varieties tested, NSIC Rc152 and PSB Rc14 were identified as the most stable varieties in terms of high grain yield by four stability parameters used. These varieties can be recommended to rainfed rice farmers of Western Visayas, Philippines to increase their rice production.
机译:适应性强和高产品种的使用是该国实现稻米供不应求的关键因素之一。为了确定适合菲律宾西部米沙ya群岛雨养低地生态系统的水稻品种,在该地区的六个省进行了品种试验。国家种子工业委员会(NSIC)发布了针对不同水稻生态系统的30种水稻新品种和老品种,在西米沙ya的六个省份进行了测试。使用方差组合分析(ANOVA)分析谷物产量数据,以确定因素(V),位置(L)和位置x品种(L x V)等因素的影响,这些因素基本上是环境相互作用的基因型。为了进一步了解G x E相互作用的影响,进行了以图形方式呈现GE相互作用和AMMI分析的GGE双图分析。 GGE双线图分析生成的数据可识别大环境的存在以及跨地点和地点内性能最佳的品种。 Lin等人根据Wricke的生态价(W-i(2))进行了四个稳定性参数评估,评估了不同水稻品种在整个环境中的产量稳定性。 (1988)品种优势测度(Pi),Finlay和Wilkinson(1963)敏感性分析和静态稳定性测度系数(s(2))。结合方差分析(SAS)和AMMI分析,确定了在六个环境下测试的水稻基因型的籽粒产量响应中存在大量且显着的GE相互作用。在所测试的品种中,根据所使用的四个稳定性参数,就高谷物产量而言,NSIC Rc152和PSB Rc14被确定为最稳定的品种。可以向菲律宾西米沙ya的雨养稻农推荐这些品种,以增加稻谷产量。

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