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Genetic diversity reveals synergistic interaction between yield components could improve the sink size and yield in rice

Authors :
Khalid Anwar
Rohit Joshi
Alejandro Morales
Gourab Das
Xinyou Yin
Niels P. R. Anten
Saurabh Raghuvanshi
Rajeev N. Bahuguna
Madan Pal Singh
Rakesh K. Singh
Martijn vanZanten
Rashmi Sasidharan
Sneh L. Singla‐Pareek
Ashwani Pareek
Source :
Food and Energy Security, Vol 11, Iss 2, Pp n/a-n/a (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

Abstract Intensive breeding programs have increased rice yields, strongly contributing to increasing global food security during the post‐green revolution period. However, rice productivity has reached a yield barrier where further yield improvement is restricted by inadequate information on the association of yield components, and morphological and physiological traits with yield. We conducted a field experiment to evaluate (i) the contribution of morphological and physiological traits to yield and (ii) quantify the trade‐off effect between the yield components in rice, using a mini‐core collection of 362 rice genotypes comprising geographically distinct landraces and breeding lines. Our data point towards multiscale coordination of physiological and morphological traits associated with yield and biomass. Considerable trait variations across the genotypes in yield ranging from 0.5 to 78.5 g hill−1 and harvest index ranging from 0.7% to 60.7% highlight enormous diversity in rice across the globe. The natural elimination of trade‐off between yield components revealed the possibility to enhance rice yield in modern cultivars. Furthermore, our study demonstrated that genotypes with larger sink sizes could fix more carbon to achieve a higher yield. We propose that the knowledge thus generated in this study can be helpful for (a) trait‐based modeling and pyramiding alleles in rice‐breeding programs and (b) assisting breeders and physiologists in their efforts to improve crop productivity under a changing climate, thus harnessing the potential for sustainable productivity gains.

Details

Language :
English
ISSN :
20483694 and 23728604
Volume :
11
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Food and Energy Security
Publication Type :
Academic Journal
Accession number :
edsdoj.7eead237286040a49237b39a2c054995
Document Type :
article
Full Text :
https://doi.org/10.1002/fes3.334