Exploring GGE biplot, stability index, correlation, and clustering analysis for growth and seed yield-related traits in celery (Apium graveolens L.)

IF 3.8 2区 农林科学 Q1 PLANT SCIENCES Journal of Applied Research on Medicinal and Aromatic Plants Pub Date : 2024-04-01 DOI:10.1016/j.jarmap.2024.100546
Mandeep Singh , Usha Nara , Kirandeep Kaur , Vivek Pandey , Dharminder Pathak , Manjeet Kaur Sangha , Pritpal Singh
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Abstract

The effect of genotype by environment interaction is one of the limiting factor for successfully identifying superior genotypes in plant breeding programs. The study aimed to identify celery genotypes with high and stable yields across different environments by assessing genotype-environment (GE) interactions, stability indices, and associations between agronomic parameters. Twenty celery genotypes were sown in randomized complete block design field trials at three locations in Punjab, India, viz., Ludhiana, Amritsar, and Gurdaspur during 2018–19, 2019–20, and 2020–21. Phenotypic data for thirteen agronomic parameters were collected for GE interactions study. The investigation mainly focused on the significance of GGE biplots in explaining GE interactions based on seed yield-related traits. Results revealed significant differences in genotypes, locations, years, and interactions in the studied traits. The WAASB (weighted average of absolute sScores) stability index estimation was highlighted to identify superior genotypes with maximum seed yield and high stability. The investigation specified the suitability of MTSI (multi-trait stability index), which considers multiple traits through genotype-ideotype distance, for assessing stability. Seed yield showed a positive and significant correlation with primary branches and umbels per plant that would be effective in simultaneous selection for multiple traits. Based on MTSI, three genotypes, PAU1, PAU9, and PAU10, were identified as stable and high-yielding across all three tested locations. The investigation suggests that efforts should focus on identifying location-specific genotypes using multi-location and multi-year data for varietal releases rather than emphasizing the overall performance of genotypes.

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探索芹菜(Apium graveolens L.)生长和种子产量相关性状的 GGE 双图、稳定指数、相关性和聚类分析
基因型与环境相互作用的影响是植物育种计划中成功鉴定优良基因型的限制因素之一。本研究旨在通过评估基因型与环境(GE)之间的相互作用、稳定性指数以及农艺参数之间的关联,确定在不同环境下产量高且稳定的芹菜基因型。2018-19年、2019-20年和2020-21年期间,在印度旁遮普省的卢迪亚纳、阿姆利则和古尔达斯布尔三个地点进行了随机完全区组设计田间试验,播种了20个芹菜基因型。收集了 13 个农艺参数的表型数据,用于 GE 交互作用研究。调查主要集中在基于种子产量相关性状的 GGE 双小区在解释 GE 相互作用方面的意义。结果表明,在所研究的性状中,基因型、地点、年份和交互作用之间存在明显差异。WAASB(绝对 sS 分数加权平均值)稳定性指数估算被重点用于识别种子产量最高且稳定性高的优良基因型。调查明确了 MTSI(多性状稳定性指数)在评估稳定性方面的适用性,该指数通过基因型-异型距离考虑了多个性状。种子产量与每株的主枝和伞形花序呈显著的正相关,这对同时选择多个性状非常有效。根据 MTSI,PAU1、PAU9 和 PAU10 这三个基因型在所有三个测试地点都是稳定的高产基因型。这项调查表明,在发布品种时,应重点利用多地点和多年数据确定特定地点的基因型,而不是强调基因型的整体表现。
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来源期刊
Journal of Applied Research on Medicinal and Aromatic Plants
Journal of Applied Research on Medicinal and Aromatic Plants Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
6.40
自引率
7.70%
发文量
80
审稿时长
41 days
期刊介绍: JARMAP is a peer reviewed and multidisciplinary communication platform, covering all aspects of the raw material supply chain of medicinal and aromatic plants. JARMAP aims to improve production of tailor made commodities by addressing the various requirements of manufacturers of herbal medicines, herbal teas, seasoning herbs, food and feed supplements and cosmetics. JARMAP covers research on genetic resources, breeding, wild-collection, domestication, propagation, cultivation, phytopathology and plant protection, mechanization, conservation, processing, quality assurance, analytics and economics. JARMAP publishes reviews, original research articles and short communications related to research.
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