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Genomic interventions to improve resilience of pigeonpea in changing climate

Bohra, A., Pareek, S., Jones, M., Jha, U.C., Satheesh Naik, S.J., Kaashyap, M., Patil, P.G., Maurya, A.K., Saxena, R. and Varshney, R.K.ORCID: 0000-0002-4562-9131 (2019) Genomic interventions to improve resilience of pigeonpea in changing climate. In: Kole, C., (ed.) Genomic Designing of Climate-Smart Pulse Crops. Springer, Cham, pp. 107-134.

Link to Published Version: https://doi.org/10.1007/978-3-319-96932-9_2
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Abstract

Pigeonpea is an important food legume crop for rainfed agriculture in developing countries, particularly in India. Productivity gains in pigeonpea have remained static, and the challenge of improving pigeonpea yield is further aggravated by increasingly uncertain climatic conditions. Improved pigeonpea cultivars with favourable traits, allowing them to cope with climatic adversities, are urgently required. Modern genomic technologies have the potential to rapidly improve breeding traits that confer resistance to biotic and abiotic stresses. Recent advances in pigeonpea genomics have led to the development of large-scale genomic tools to accelerate breeding programs. Availability of high-density genotyping assays and high-throughput phenotyping platforms motivate researchers to adopt new breeding techniques like genomic selection (GS) for improving complex traits. Accurate GS predictions inferred from multilocation and multiyear data sets also open new avenues for ‘remote breeding’ which is very much required to achieve genotype selection for future climates. Speed breeding pigeonpea with deployment of rapid generation advancement (RGA) technologies will improve our capacity to breed cultivars endowed with resilient traits. Once such climate-resilient cultivars are in place, their rapid dissemination to farmer’s fields will be required to witness the real impact. Equally important will be the acceleration of varietal turnover to keep pace with the unpredictably changing climatic conditions so that cultivars are constantly optimized for the climatic conditions at any given time.

Item Type: Book Chapter
Publisher: Springer, Cham
Copyright: © 2019 Springer Nature Switzerland AG 2019
URI: http://researchrepository.murdoch.edu.au/id/eprint/60494
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