利用安米双图技术对水稻近交系重组的生产性状进行加性主效应和乘性互作分析

IF 1 4区 农林科学 Q3 AGRONOMY
Aziz Ur Rahman, F. Rehman, Syed Mehr ALİ SHAH, Muhammad ALİ SHAH, Syed Majid Rasheed
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引用次数: 0

摘要

该试验旨在评估 87 个水稻近交系(RIL)的表现,确定丰产环境,并量化 2021 年和 2022 年期间巴基斯坦开伯尔巴图克瓦省四个地点的基因型 × 环境交互作用(GEI)对产量和产量相关性状的影响。汇总方差分析显示,所有性状的基因型与环境互作效应均存在显著差异。在所有研究环境中,RIL AUP-3 的打顶天数(139 天)最短,谷物产量最高(4.1 吨/公顷)。AUP-3 和 AUP-30 的粒数较高,分别为 214 粒/公顷和 226 粒/公顷。根据 AMMI1 和 AMMI2 双图分析,RIL AUP-3 被一致宣布为最稳定的高产基因型。AMMI双图分析分别累计解释了55.3%、46.3%和52.1%的成熟天数、圆锥花序粒数-1和谷粒产量因GEI引起的总变异。AMMI 双图谱分析证实了不同环境下基因型的差异响应,表明基因的表达是基于环境的。AMMI 双图还表明,AUP-3 和 AUP-30 分别是圆锥花序-1 粒数和谷粒产量的理想基因型。白沙瓦(E-1 和 E-5)和明戈拉(E-2)似乎是对圆锥花序粒数-1 和谷粒产量最具鉴别力和代表性的环境。在本研究中,应用各种稳定性模型确定了 AUP-3 和 AUP-30 是谷物产量及其成分最稳定、适应性最广的基因型。因此,推荐用于商业化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION ANALYSIS FOR PRODUCTION TRAITS IN RICE RECOMBINANT INBRED LINES USING AMMI BIPLOT TECHNIQUE
The experiment was performed to assess the performance of 87 rice recombinant inbred lines (RILs), identify the productive environments and quantify genotype × environment interaction (GEI) effects on yield and yield related traits across four locations of the Khyber Pakhtunkhwa Province-Pakistan during 2021 and 2022. The pooled ANOVA showed significant differences of GEI for all traits. Across the studied environments, RIL AUP-3 took minimum days to heading (139) and produced the highest grain yield (4.1 t ha-1). AUP-3 and AUP-30 displayed the higher grains panicle-1 of 214 and 226, respectively. Based on AMMI1 and AMMI2 biplots, RIL AUP-3 was unanimously declared as the most stable and high yielding genotype. AMMI biplot analysis cumulatively explained 55.3 %, 46.3 % and 52.1% of total variation due to GEI for days to maturity, grains panicle-1 and grain yield, respectively. The AMMI biplot analysis confirmed the differential response of genotypes across environments, suggesting environment-based expression of genes. The AMMI biplot also manifested AUP-3 and AUP-30 as ideal genotypes for grains panicle-1 and grain yield, respectively. The Peshawar (E-1 and E-5) and Mingora (E-2) appeared to be the most discriminating and representative environment for grains panicle-1 and grain yield. Application of various stability models in this study identified AUP-3 and AUP-30 as the most stable and widely adapted genotype for grain yield and its components. Therefore, recommended for commercialization.
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来源期刊
CiteScore
1.50
自引率
12.50%
发文量
21
审稿时长
>12 weeks
期刊介绍: Information not localized
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