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运用AMMI、GGE双标图和MTSI选择蓖麻优良基因型。

Deployment of AMMI, GGE-biplot and MTSI to select elite genotypes of castor ( L.).

作者信息

Memon Juned, Patel Rumit, Parmar Dinesh J, Kumar Sushil, Patel Neel A, Patel Bharat N, Patel Dipak A, Katba Pankaj

机构信息

Department of Genetics and Plant Breeding, B. A. College of Agriculture, Anand Agricultural University, Anand, 388 110, India.

Department of Agricultural Statistics, B. A. College of Agriculture, Anand Agricultural University, Anand, 388 110, India.

出版信息

Heliyon. 2023 Feb 8;9(2):e13515. doi: 10.1016/j.heliyon.2023.e13515. eCollection 2023 Feb.

Abstract

Castor ( L.) is an important industrial multipurpose non-edible oilseed C crop belongs to spurge family popularly known as Euphorbiaceae. Its oil has exceptional properties which provides an industrial importance to this crop. The present investigation is aimed to judge the stability and performance of yield and yield assigning traits and selection of suitable genotype for varied locality of western rainfed regions of India. During the study with 90 genotypes, the genotype × environment interaction was found to be significant for seed yield per plant as well as for plant height up to primary raceme, total length of primary raceme, effective length of primary raceme, capsules on main raceme and effective number of racemes per plant. E is the least interactive and highly representative site for seed yield. Which won where and what biplot decipher ANDCI 10-01 as vertex genotype for E while ANDCI 10-03 and P141 for E and E. Average Environment co-ordinate identify ANDCI 10-01, P141, P161, JI 357 and JI 418 as tremendously stable and high seed yielding genotypes. The study outlined the pertinency of Multi Trait Stability Index, that calculated based on the genotype-ideotype distance as the multiple interacting variables. MTSI evaluated all genotypes and sort ANDCI 12-01, JI 413, JI 434, JI 380, P141, ANDCI 10-03, SKI 215, ANDCI 09, SI 04, JI 437, JI 440, RG 3570, JI 417 and GAC 11 with maximum stability and high mean performance of analyzed interacting traits.

摘要

蓖麻(Ricinus communis L.)是一种重要的工业多用途非食用油籽作物,属于大戟科,俗称大戟科。其油具有特殊性能,赋予了该作物重要的工业价值。本研究旨在评估印度西部雨养地区不同地点的产量及产量相关性状的稳定性和表现,并选择合适的基因型。在对90个基因型的研究中,发现基因型×环境互作对单株种子产量以及主花序以下的株高、主花序总长度、主花序有效长度、主花序上的蒴果数和单株有效花序数均有显著影响。E是种子产量交互作用最小且极具代表性的地点。在该地点,ANDCI 10 - 01被确定为顶点基因型,而ANDCI 10 - 03和P141分别对应E和E地点。平均环境坐标确定ANDCI 10 - 01、P141、P161、JI 357和JI 418为极其稳定且种子产量高的基因型。该研究概述了基于基因型与理想型距离计算的多性状稳定性指数的相关性,该指数将多个交互变量作为考量因素。多性状稳定性指数对所有基因型进行了评估,结果显示ANDCI 12 - 01、JI 413、JI 434、JI 380、P141、ANDCI 10 - 03、SKI 215、ANDCI 09、SI 04、JI 437、JI 440、RG 3570、JI 417和GAC 11具有最大稳定性和所分析交互性状的高平均表现。

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