GWAS identifies genetic loci underlying nitrogen responsiveness in the climate resilient C4 model Setaria italica (L.)

Bandyopadhyay, T and Swarbreck, S M and Jaiswal, V and Maurya, J and Gupta, R and Bentley, A R and Griffiths, H and Prasad, M (2022) GWAS identifies genetic loci underlying nitrogen responsiveness in the climate resilient C4 model Setaria italica (L.). Journal of Advanced Research, 42. pp. 249-261. ISSN 2090-1224

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Abstract

Introduction: N responsiveness is the capacity to perceive and induce morpho-physiological adaptation to external and internal Nitrogen (N). Crop productivity is propelled by N fertilizer and requires the breeding/selection of cultivars with intrinsically high N responsiveness. This trait has many advantages in being more meaningful in commercial/environmental context, facilitating in-season N management and not being inversely correlated with N availability over processes regulating NUE. Current lack of its understanding at the physio-genetic basis is an impediment to select for cultivars with a predictably high N response. Objectives: To dissect physio-genetic basis of N responsiveness in 142 diverse population of foxtail millet, Setaria italica (L.) by employing contrasting N fertilizer nutrition regimes.

Item Type:	Article
Divisions:	Research Program : Genetic Gains
CRP:	UNSPECIFIED
Uncontrolled Keywords:	C4 model crop, Climate resilience, Food security
Subjects:	Others > Climate Resilient Technologies Others > Food Security
Depositing User:	Mr Nagaraju T
Date Deposited:	19 May 2023 05:01
Last Modified:	19 May 2023 05:01
URI:	http://oar.icrisat.org/id/eprint/12091
Official URL:	https://www.sciencedirect.com/science/article/pii/...
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	The research was funded by Department of Biotechnology (DBT), Govt. of India (Grant No.: BT/IN/UK-VNC/42/RG/2014-15) and by J.C. Bose National Fellowship Grant of Department of Science and Technology (File No.: JCB/2018/000001) to M.P. A.R. B., R.G., and H.G. are supported by GCRF/BBSRC TIGR2ESS programme (BB/P027970/1). T.B. acknowledges the financial support under the CSIR-SRA fellowship scheme [13(9152-A)/2021-Pool] while VJ acknowledges the DST-Inspire fellowship. The authors thank Anand Dangi, Technical Assistant, NIPGR, New Delhi for providing support towards execution of phenotyping experiments and data collection. Thanks are due to Dr. Stephanie Smith (Sainsbury Laboratory Cambridge University, Cambridge, UK) and Dr. Tina Barsby (NIAB, Cambridge, UK) for their observations and inputs. The authors are also thankful to DBT-eLibrary Consortium (DeLCON) for providing access to e-resources.
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