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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Genetic Variation for Traits Related to Phosphorus Use Efficiency in Vigna Species
Agronomy, Volume 13, No. 2, Article 305, Year 2023
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Description
Phosphorus (P) is a major limiting nutrient reducing crop yields especially in weathered soils of the subtropics and tropics. P exhibits poor mobility and availability to plants in soil. To overcome P deficiency in soil, phosphatic fertilizers are added. Global phosphate rock reserves are finite, and the addition of phosphatic fertilizers is not financially and ecologically sustainable. Mungbean (Vigna radiata (L.) Wilczek) is important grain legume for nutritional security. Attempts are being made to develop mungbean varieties with better P-use efficiency through enhanced P uptake and utilization. In the present study, 327 accessions of 18 Vigna species were examined for inter- and intra-specific variation for traits related to phosphorus uptake and utilization efficiency under hydroponic conditions at two levels of phosphorus. Significant species-specific variation was recorded for studied traits. Among the studied Vigna species, mungbean exhibited higher phosphorus use efficiency. Seven mungbean genotypes (IC 251950, IC 585931, V1002532AG, IC 371653, IC 331615, V1001400AG, and V1000532BG) were found to be promising for both PupE and PutiE. Using mean and standard deviation as criteria, mungbean genotypes identified with high phosphorus-use efficiency include IC 25950 and IC 583664. Mungbean genotypes KPS 1546, IC 277060, IC 697141, IC 343440, and Pusa 0831 were identified based on the stress tolerance index as genotypes that performed better under P stress. Cultivated species revealed higher PUE in comparison withwild forms. The most promising genotype identified from this study for PUE can be used as a parent for the development of a mapping population of mungbean for understanding genetics of PUE under a low-phosphorus environment. © 2023 by the authors.
Authors & Co-Authors
Kothari, Deepali
India, New Delhi
Icar - Indian Agricultural Research Institute, new Delhi
Tewari, Lalit Mohan
India, Nainital
Kumaun University India
Dikshit, Harsh Kumar
India, New Delhi
Icar - Indian Agricultural Research Institute, new Delhi
Mishra, Gyan Prakash
India, New Delhi
Icar - Indian Agricultural Research Institute, new Delhi
Aski, Muraleedhar Sidaram
India, New Delhi
Icar - Indian Agricultural Research Institute, new Delhi
Bansal, Ruchi
India, New Delhi
Icar - Indian Agricultural Research Institute, new Delhi
Gupta, Sanjeev K.
India, New Delhi
Indian Council of Agricultural Research
Kumar, Shiv Charan
India, New Delhi
International Centre for Agricultural Research in Dry Areas
Nair, Ramakrishnan Madhavan
India, Hyderabad
South and Central Asia
Statistics
Citations: 2
Authors: 9
Affiliations: 5
Identifiers
Doi:
10.3390/agronomy13020305
ISSN:
20734395
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study