不同微环境下水稻稳定性分析

Deepak Katkani, S. Payasi, V. Patel, Jay Prakash Chamar
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引用次数: 1

摘要

本研究对32个水稻基因型在3种微环境下的产量及其性状进行了评价。,直接播种条件(E-I),移栽间距分别为15 × 15cm (E-II)和25 × 15cm (E-III)。采用Eberhart and Russell(1966)模型进行稳定性方差分析,结果表明各基因型在开花至50%天数、成熟天数、株高、穗长、每穗粒数、旗叶角等方面存在显著差异。单株籽粒产量稳定性参数表明,热瓦1329-4-26-1、热瓦1326-11-67-2和热瓦1326-16-1基因型的回归系数均小于1,平均值均高于平均值,说明热瓦1329-4-123-11基因型对各微环境具有较强的适应性和适宜性。热瓦1328-18-16和热瓦1326-3-34-4的回归系数小于1,回归偏差在0左右,被认为是高度稳定的,最适合直接播种等不良管理实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability analysis of rice (Oryza sativa L.) under different micro-environments
The present research was undertaken to evaluate 32 rice genotypes for grain yield and its attributing traits under three micro-environments like., direct seeded condition (E-I), transplanting at spacing of 15 x 15 cm (E-II) and 25 x 15 cm (E-III). Adopting the Eberhart and Russell (1966) model, stability analysis of variance revealed significant differences among the genotypes for days to 50% flowering, days to maturity, plant height, panicle length, number of grains per panicle and flag leaf angle. Stability parameters for grain yield per plant indicated that the genotypes Rewa 1329-4-26-1, Rewa 1326-11-67-2 and Rewa 1326-16-1 had regression coefficient less than one and mean value higher than average mean this depicted that these genotypes have wider adaptability and suitability for all micro- environments and the genotypes Rewa 1329-4-123-11, Rewa 1328-18-16 and Rewa 1326-3-34-4 had regression coefficient less than one and deviation from regression around zero were identified as highly stable and best suited for poor management practices like, direct seeded condition.
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