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相关系数和主成分分析在水稻改良栽培中数量和质量性状稳定性研究中的应用。

Application of correlation coefficients and principal components analysis in stability of quantitative and qualitative traits on rice improvement cultivation.

机构信息

Department of Agronomy, Chalus Branch, Islamic Azad University, Chalus, Iran.

Rice Research Institute of Iran Deputy of Mazandaran, Mazandaran, Iran.

出版信息

Braz J Biol. 2023 Mar 10;84:e268981. doi: 10.1590/1519-6984.268981. eCollection 2023.

DOI:10.1590/1519-6984.268981
PMID:36921192
Abstract

In order to investigate the stability of qualitative and quantitative traits and choose the most appropriate cultivation method and irrigation regime in rice plants, the experiment was conducted in the form of a split-plot design based on a randomized complete block design in three replications and in two cropping years. The results of compound analysis indicated that the effect of year × irrigation regimes in terms of traits, grain yield, rainfall, productivity 2, number of full grains, number of hollow grains, harvest index, percentage of crushed grains and yield of white rice, the effect of year × Cultivation method characteristics in terms of water consumption, rainfall, productivity 1, number of tillers, plant height, spike length, number of hollow grains, thousand seed weight, small grain percentage and white rice yield and the effect of irrigation regime × cultivation methods in terms of all Traits except traits productivity 2 were significant. The results of the mean comparison of the interaction effect of irrigation regimes and cultivation methods also showed that treatments T1W1, T2W1 and T1W3 are favorable for all evaluated traits. Based on the table of correlation coefficients, correlation diagram and map of the intensity of the correlation in the years of the experiment, it is possible to report the correlation of the grain yield trait with the traits of water consumption, rainfall, plant height, 100- seed weight, full grain number and white rice yield. Also, traits productivity 1, productivity 2 and small grain percentage showed a positive correlation and a negative correlation of these three traits with most of the traits evaluated in the experiment was observed. Based on the analysis of the main components, the first four main components explained the most data variance, and T2W2 and T2W3 treatments were identified as suitable treatments for rice cultivation in terms of the first and second main components.

摘要

为了研究水稻定性和定量性状的稳定性,并选择最适宜的栽培方法和灌溉制度,本试验采用裂区设计,随机完全区组设计,三次重复,两年种植。复合分析结果表明,年度×灌溉制度对性状、产量、降雨量、生产力 2、饱满粒数、空秕粒数、收获指数、破碎粒率和白米产量的影响,年度×栽培方法特征对耗水量、降雨量、生产力 1、分蘖数、株高、穗长、空秕粒数、千粒重、小粒率和白米产量的影响,以及灌溉制度×栽培方法对除生产力 2 外的所有性状的影响均达到显著水平。灌溉制度和栽培方法互作效应的均值比较结果也表明,处理 T1W1、T2W1 和 T1W3 对所有评价性状均有利。根据试验年度的相关系数表、相关图和相关强度图,可以报告粒产量性状与耗水量、降雨量、株高、百粒重、饱满粒数和白米产量等性状的相关性。此外,生产力 1、生产力 2 和小粒率这三个性状之间存在正相关,而这三个性状与试验中评价的大多数性状之间存在负相关。基于主成分分析,前四个主成分解释了大部分数据方差,T2W2 和 T2W3 处理在第一和第二主成分方面被认为是适宜的水稻栽培处理。

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