谷子产量稳定性及试验地代表性测定。)基因型

GABJ Pub Date : 2020-06-25 DOI:10.46325/GABJ.V4I2.753
M. Kandel, N. Dhami, T. R. Rijal, Jiban Shrestha
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引用次数: 3

摘要

培育高产、稳定的作物品种是作物育种计划的重要组成部分。采用随机完全区组设计,于2017年、2018年和2019年连续3年4 - 8月在尼泊尔的Jumla和Dolakha对13种谷子基因型进行评价。采用环境互作(GGE)双图分析方法,对谷子基因型主效应加基因型的产量稳定性和适应性进行了研究。结果表明,环境(E)、基因型(G)及其互作(G×E)对籽粒产量有显著影响(P<0.05)。基因型HUMLA-163的回归系数等于1 (b=1.01),表明该基因型对所有环境的适应性均为平均,而基因型HUMLA-213 (b=1.18)和基因型HUMLA-252 (b=1.19)的回归系数大于1,表明其对有利环境的适应性更强。GGE双图显示,HUMLA-163基因型更稳定,适应性更强。因此,基因型HUMLA-163被推荐作为提高尼泊尔丘陵地区谷子产量的品种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Yield stability and test location representativeness in foxtail millet [Setaria italica (L.) Beauv.] genotypes
Development of a crop variety with high grain yield and stability in test locations is an important part of crop breeding program. Thirteen foxtail millet genotypes were evaluated in randomized complete block design with three replications in Jumla and Dolakha, Nepal from April to August in three consecutive years 2017, 2018, and 2019. The objective of this study was to analyze grain yield stability and adaptability of foxtail millet genotypes applying genotype main effect plus genotype by environment interaction (GGE) biplot analysis. The results showed that grain yields were significantly (P<0.05) affected by the environment (E), genotype (G), and their interaction (G×E). The genotype HUMLA-163 had regression coefficient equal to unity (b=1.01), thus this genotype had average adaptation to all environments whereas HUMLA-213 (b=1.18) and HUMLA-252 (b=1.19) had regression coefficients greater than unity, thus these genotypes were more adapted to favorable environments. GGE biplot showed that HUMLA-163 was more stable and adaptive genotype. Thus, genotype HUMLA-163 is recommended for release as a variety to improve foxtail millet production in hilly region of Nepal.
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