Multi-location evaluation of field pea in Indian climates: eco-phenological dynamics, crop-environment relationships, and identification of mega-environments.

IF 3 3区 地球科学 Q2 BIOPHYSICS International Journal of Biometeorology Pub Date : 2024-06-26 DOI:10.1007/s00484-024-02720-7
Ashok K Parihar, Kali Krishna Hazra, Amrit Lamichaney, Debjyoti Sen Gupta, Jitendra Kumar, R K Mishra, Anil K Singh, Anuradha Bhartiya, Parvaze Ahmad Sofi, Ajaz A Lone, Sankar P Das, Rajesh Kumar Yadav, S S Punia, A K Singh, Geeta Rai, C S Mahto, Khajan Singh, Smita Tiwari, Ashok K Saxena, Sunil Kumar Nair, Mangla Parikh, Vijay Sharma, Sudhakar P Mishra, Deepak Singh, Sanjeev Gupta, G P Dixit
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Abstract

Characterization of crop-growing environments in relation to crop's genotypic performance is crucial to harness positive genotype-by-environment interactions (GEI) in systematic breeding programs. Given that, the study aimed to delineate the impact of diverse environments on crop phenology and yield traits of dwarf-statured field pea, pinpointing location(s) favoring higher yield and distinctiveness within breeding lines. We tested twelve field pea breeding lines across twenty locations in India, covering Central Zone (CZ), North Western Plain Zone (NWPZ), North Eastern Plain Zone (NEPZ), and Northern Hill Zone (NHZ). Across these locations, maximum and minimum temperatures during flowering (TMAXF, TMINF) and reproductive period (TMAXRP, TMINRP) ranged 18.9-28.3, 3.3-18.0, 15.0-30.8, and 7.9-22.1oC, respectively. Meanwhile, notable variations in phenological and agronomic traits (coefficient of variation) were observed: flowering (31%), days to maturity (21%), reproductive period (18%), grain yield (48%), and 100-seed weight (18%). Combined ANOVA demonstrated an oversized impact of environment (81%) on yield, while genotype and GEI effects were 2% and 14%, respectively. The variables TMINF, TMINRP, and cumulative growing degree-day showed positive correlations with yield, while extended vegetative and maturity durations negatively influenced yield (p < 0.05). Additionally, linear mixed-models and PCA results explained that instability in crop phenology had significant influence on field pea yield. Seed weight was markedly varied within the locations (9.9-20.8 g) and both higher and lower seed weights were associated with lower yields (Optimal = 17.1 g). HA-GGE biplot-based on environment focus-scaling demonstrated three mega-environments and specific locations viz. Kota (CZ), SK Nagar (CZ), Raipur (CZ), Sehore (CZ), and Pantnagar (NWPZ) as the ideal testing-environments with high efficiency in selecting new genotypes with wider adaptability. The study findings highlight distinct impact of environments on crop phenology and agronomic traits of field pea (dwarf-type), hold substantial value in designing efficient field pea (dwarf-type) breeding program at mega-environment scale.

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印度气候条件下大田豌豆的多地评估:生态-生态动态、作物-环境关系以及巨型环境的识别。
要在系统育种计划中利用基因型与环境之间的正向相互作用(GEI),作物生长环境与作物基因型表现之间的特征描述至关重要。有鉴于此,本研究旨在确定不同环境对矮杆大田豌豆的作物表型和产量性状的影响,找出有利于提高产量和育种品系独特性的位置。我们在印度的 20 个地点测试了 12 个大田豌豆育种品系,包括中央区(CZ)、西北平原区(NWPZ)、东北平原区(NEPZ)和北部丘陵区(NHZ)。在这些地点,开花期(TMAXF、TMINF)和生殖期(TMAXRP、TMINRP)的最高和最低温度分别为 18.9-28.3、3.3-18.0、15.0-30.8 和 7.9-22.1oC。同时,还观察到以下物候和农艺性状的显著差异(变异系数):开花期(31%)、成熟天数(21%)、生育期(18%)、谷物产量(48%)和百粒重(18%)。综合方差分析表明,环境对产量的影响过大(81%),而基因型和 GEI 的影响分别为 2% 和 14%。变量 TMINF、TMINRP 和累积生长度日与产量呈正相关,而无性繁殖期和成熟期的延长则对产量有负面影响(p
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来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
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