高型豌豆的空间变异及适应性响应横跨印度次大陆。

IF 6 1区 生物学 Q1 PLANT SCIENCES
Ashok Kumar Parihar, Kali Krishna Hazra, Amrit Lamichaney, Debjyoti Sen Gupta, Jitendra Kumar, Anil Kumar Singh, Raj Kumar Mishra, Sankar Prasad Das, Parvez Ahmad Sofi, Ajaz Ahmad Lone, Geeta Rai, Hironya Kumar Borah, Chandra Shekhar Mahto, Khajan Singh, Smita Tiwari, Ashok Kumar Saxena, Sunil Kumar Nair, Mangala Parikh, Vijay Sharma, Sudhakar Prasad Mishra, Rajesh Kumar Yadav, Deepak Singh, Sanjeev Gupta, Shailesh Tripathi, Girish Prasad Dixit
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引用次数: 0

摘要

了解不同农业生态环境下的作物表现对于制定特定区域的育种策略至关重要。研究了不同环境对高型大田豌豆品种作物生态物候和基因型-环境相互作用(GEI)的影响。采用经验方法确定支持更高产量和独特基因型性状的战略位置。结果表明,不同地点间存在显著差异,主要性状的变异系数为:开花天数(31%)、成熟天数(20%)、繁殖期(19%)、产量(35%)和种子重(31%)。环境因子对产量的影响最大(78%),其次是GEI(13%)。相关分析表明,两个极端温度,特别是花期最高温度对作物产量有显著影响。在开花期和繁殖期较高的最低温度与产量下降有关,而在较冷地区延长作物持续时间也对产量产生负面影响。种子重与产量之间存在显著的二次关系,强调了种子重作为稳产性状的重要性。ge -双图分析确定了4个大型环境,并指定Faizabad、Pantnagar、Varanasi和Kota为选择具有更广泛适应性的基因型的理想试验点。这些发现为在国家层面重新设计大田豌豆育种方案提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Variation and Adaptive Responses of Tall-Type Field Peas (Pisum sativum L.) Across Indian Subcontinent.

Understanding crop performance across diverse agro-ecologies is crucial for developing region-specific breeding strategies. This multi-location study examined the impact of diverse environments on crop eco-phenology and genotype-by-environment interactions (GEI) of tall-type field pea breeding lines. Empirical methods were employed to identify strategic locations that support higher yields and unique genotypic traits. The results revealed significant variations across locations, with coefficients of variation for key traits as follows: days to flowering (31%), days to maturity (20%), reproductive period (19%), yield (35%), and seed weight (31%). Environmental component accounted for the largest yield variation (78%), followed by GEI (13%). Correlation analysis indicated a significant influence of both temperature extremes, particularly maximum temperature during flowering, on crop yields. Higher minimum temperatures during flowering and reproductive period were associated with reduced yields, while extended crop duration in cooler regions also negatively impacted yields. A significant quadratic relationship between seed weight and yield underscored the importance of seed weight as a yield-stabilising trait. GGE-biplot analysis identified four mega-environments, and designated Faizabad, Pantnagar, Varanasi, and Kota as ideal testing sites for selecting genotypes with broader adaptability. These findings provide valuable insights for redesigning field pea breeding programmes at the national level.

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来源期刊
Plant, Cell & Environment
Plant, Cell & Environment 生物-植物科学
CiteScore
13.30
自引率
4.10%
发文量
253
审稿时长
1.8 months
期刊介绍: Plant, Cell & Environment is a premier plant science journal, offering valuable insights into plant responses to their environment. Committed to publishing high-quality theoretical and experimental research, the journal covers a broad spectrum of factors, spanning from molecular to community levels. Researchers exploring various aspects of plant biology, physiology, and ecology contribute to the journal's comprehensive understanding of plant-environment interactions.
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