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绿豆(Vigna radiata (L.))在印度气候条件下的多地点评估:生态物候动态、产量关系及地点特征

Multi-location evaluation of mungbean ( L.) in Indian climates: Ecophenological dynamics, yield relation, and characterization of locations.

作者信息

Parihar Ashok K, Gupta Sanjeev, Hazra Kali K, Lamichaney Amrit, Sen Gupta Debjyoti, Singh Deepak, Kumar Raju, Singh Anil K, Vaishnavi Rakesh, Jaberson M Samuel, Das Sankar P, Dev Jai, Yadav Rajesh K, Jamwal B S, Choudhary B R, Khedar O P, Prakash Vijay, Dikshit Harsh K, Panwar R K, Katiyar Manoj, Kumar Pankaj, Mahto C S, Borah H K, Singh M N, Das Arpita, Patil A N, Nanda H C, Kumar Vinod, Rajput Sumer D, Chauhan D A, Patel M H, Kanwar Raja R, Kumar Jitendra, Mishra S P, Kumar Hitesh, Swarup Indu, Mogali Suma, Kumaresan D, Manivannan Narayana, Gowda M Byre, Pandiyan Muthaiyan, Rao Polneni J, Shivani D, Prusti A M, Mahadevu P, Iyanar K, Das Sujata

机构信息

ICAR-Indian Institute of Pulses Research, Kanpur, India.

Indian Council of Agricultural Research, Krishi Bhawan, New Delhi, India.

出版信息

Front Plant Sci. 2022 Sep 20;13:984912. doi: 10.3389/fpls.2022.984912. eCollection 2022.

Abstract

Crop yield varies considerably within agroecology depending on the genetic potential of crop cultivars and various edaphic and climatic variables. Understanding site-specific changes in crop yield and genotype × environment interaction are crucial and needs exceptional consideration in strategic breeding programs. Further, genotypic response to diverse agro-ecologies offers identification of strategic locations for evaluating traits of interest to strengthen and accelerate the national variety release program. In this study, multi-location field trial data have been used to investigate the impact of environmental conditions on crop phenological dynamics and their influence on the yield of mungbean in different agroecological regions of the Indian subcontinent. The present attempt is also intended to identify the strategic location(s) favoring higher yield and distinctiveness within mungbean genotypes. In the field trial, a total of 34 different mungbean genotypes were grown in 39 locations covering the north hill zone ( = 4), northeastern plain zone ( = 6), northwestern plain zone ( = 7), central zone ( = 11) and south zone ( = 11). The results revealed that the effect of the environment was prominent on both the phenological dynamics and productivity of the mungbean. Noticeable variations (expressed as coefficient of variation) were observed for the parameters of days to 50% flowering (13%), days to maturity (12%), reproductive period (21%), grain yield (33%), and 1000-grain weight (14%) across the environments. The genotype, environment, and genotype × environment accounted for 3.0, 54.2, and 29.7% of the total variation in mungbean yield, respectively ( < 0.001), suggesting an oversized significance of site-specific responses of the genotypes. Results demonstrated that a lower ambient temperature extended both flowering time and the crop period. Linear mixed model results revealed that the changes in phenological events (days to 50 % flowering, days to maturity, and reproductive period) with response to contrasting environments had no direct influence on crop yields ( > 0.05) for all the genotypes except PM 14-11. Results revealed that the south zone environment initiated early flowering and an extended reproductive period, thus sustaining yield with good seed size. While in low rainfall areas ., Sriganganagar, New Delhi, Durgapura, and Sagar, the yield was comparatively low irrespective of genotypes. Correlation results and PCA indicated that rainfall during the crop season and relative humidity significantly and positively influenced grain yield. Hence, the present study suggests that the yield potential of mungbean is independent of crop phenological dynamics; rather, climatic variables like rainfall and relative humidity have considerable influence on yield. Further, HA-GGE biplot analysis identified Sagar, New Delhi, Sriganganagar, Durgapura, Warangal, Srinagar, Kanpur, and Mohanpur as the ideal testing environments, which demonstrated high efficiency in the selection of new genotypes with wider adaptability.

摘要

在农业生态系统中,作物产量因作物品种的遗传潜力以及各种土壤和气候变量而有很大差异。了解特定地点的作物产量变化以及基因型×环境互作至关重要,在战略育种计划中需要特别考虑。此外,基因型对不同农业生态的反应有助于确定评估感兴趣性状的战略地点,以加强和加速国家品种发布计划。在本研究中,多地点田间试验数据被用于调查环境条件对印度次大陆不同农业生态区域绿豆物候动态的影响及其对产量的影响。本研究还旨在确定有利于绿豆基因型高产和独特性的战略地点。在田间试验中,共34个不同的绿豆基因型种植在39个地点,覆盖北山地区( = 4)、东北平原区( = 6)、西北平原区( = 7)、中部区( = 11)和南区( = 11)。结果表明,环境对绿豆的物候动态和生产力都有显著影响。在不同环境中,观察到50%开花天数(13%)、成熟天数(12%)、生殖期(21%)、籽粒产量(33%)和千粒重(14%)等参数有明显差异(以变异系数表示)。基因型、环境和基因型×环境分别占绿豆产量总变异的3.0%、54.2%和29.7%( < 0.001),表明基因型的特定地点反应具有极大的重要性。结果表明,较低的环境温度延长了开花时间和作物生育期。线性混合模型结果显示,除PM 14 - 11外,所有基因型在不同环境下物候事件(50%开花天数、成熟天数和生殖期)的变化对作物产量没有直接影响( > 0.05)。结果表明,南区环境使开花提前且生殖期延长,从而保持了产量并种子大小良好。而在低降雨地区,如斯里甘加纳格尔、新德里、杜尔加布尔和萨加尔,无论基因型如何,产量都相对较低。相关性结果和主成分分析表明,作物生长季节的降雨量和相对湿度对籽粒产量有显著的正向影响。因此,本研究表明绿豆的产量潜力与作物物候动态无关;相反,降雨量和相对湿度等气候变量对产量有相当大的影响。此外,HA - GGE双标图分析确定萨加尔、新德里、斯里甘加纳格尔、杜尔加布尔、瓦朗加尔、斯利那加、坎普尔和莫汉布尔为理想的测试环境,这些环境在选择适应性更广的新基因型方面表现出高效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2034/9530336/1f8364064df3/fpls-13-984912-g0001.jpg

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