气候变化领域集成服务门户(CCPortal): Non-invasive measurements to identify mungbean genotypes for waterlogging tolerance

CCPortal

DOI	10.7717/peerj.16872
	Non-invasive measurements to identify mungbean genotypes for waterlogging tolerance
	Basavaraj, Ps; Jangid, Krishna Kumar; Babar, Rohit; Rane, Jagadish; Boraiah, Km; Harisha, Cb; Halli, Hanamanth; Pradhan, Aliza; Tripathi, Kuldeep; Reddy, K. Sammi; Prabhakar, M.
发表日期	2024
ISSN	2167-8359
起始页码	12
卷号	12
英文摘要	As the best-fit leguminous crop for intercropping across time and space, mungbean promises to sustain soil health, carbon sequestration, and nutritional security across the globe. However, it is susceptible to waterlogging, a significant constraint that persists during heavy rains. Since the predicted climate change scenario features fewer but more intense rainy days. Hence, waterlogging tolerance in mungbean has been one of the major breeding objectives. The present experiment aimed to employ nondestructive tools to phenotype stress tolerance traits in mungbean genotypes exposed to waterlogging and estimate the association among the traits. A total of 12 mungbean genotypes were used in the present study to assess waterlogging tolerance at the seedling stage. Plant responses to stress were determined non-destructively using normalized difference vegetation index (NDVI) and chlorophyll fluorescence parameters at different time intervals. NDVI and grain yield were positively associated with control (r = 0.64) and stress (r = 0.59). Similarly, chlorophyll fluorescence (quantum yield of PS-II) also had a significant positive association with grain yield under both control (r = 0.52) and stress (r = 0.66) conditions. Hence, it is suggested that NDVI and chlorophyll fluorescence promise to serve as traits for non-destructive phenotyping waterlogging tolerance in mungbean genotypes. With the methods proposed in our study, it is possible to phenotype hundreds of plants for waterlogging tolerance efficiently.
英文关键词	Waterlogging; Phenotyping; Trait discovery; Legumes; Abiotic stress
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001171397000004
来源期刊	PEERJ
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/296089
作者单位	Indian Council of Agricultural Research (ICAR); ICAR - National Institute of Abiotic Stress Management; Indian Council of Agricultural Research (ICAR); ICAR - Central Institute for Arid Horticulture; Indian Council of Agricultural Research (ICAR); ICAR - National Bureau of Plant Genetics Resources; Indian Council of Agricultural Research (ICAR); ICAR - Central Research Institute of Dryland Agriculture
推荐引用方式 GB/T 7714	Basavaraj, Ps,Jangid, Krishna Kumar,Babar, Rohit,et al. Non-invasive measurements to identify mungbean genotypes for waterlogging tolerance[J],2024,12.
APA	Basavaraj, Ps.,Jangid, Krishna Kumar.,Babar, Rohit.,Rane, Jagadish.,Boraiah, Km.,...&Prabhakar, M..(2024).Non-invasive measurements to identify mungbean genotypes for waterlogging tolerance.PEERJ,12.
MLA	Basavaraj, Ps,et al."Non-invasive measurements to identify mungbean genotypes for waterlogging tolerance".PEERJ 12(2024).