Omics-driven utilization of wild relatives for empowering pre-breeding in pearl millet.

Autor: Kapoor C; ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India. chandannaarm@gmail.com., Anamika; ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India., Mukesh Sankar S; ICAR-Indian Institute of Spices Research, Kozhikode, Kerala, 673012, India., Singh SP; ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India., Singh N; ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India., Kumar S; ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Jazyk: angličtina
Zdroj: Planta [Planta] 2024 May 15; Vol. 259 (6), pp. 155. Date of Electronic Publication: 2024 May 15.
DOI: 10.1007/s00425-024-04423-0
Abstrakt: Main Conclusion: Pearl millet wild relatives harbour novel alleles which could be utilized to broaden genetic base of cultivated species. Genomics-informed pre-breeding is needed to speed up introgression from wild to cultivated gene pool in pearl millet. Rising episodes of intense biotic and abiotic stresses challenge pearl millet production globally. Wild relatives provide a wide spectrum of novel alleles which could address challenges posed by climate change. Pre-breeding holds potential to introgress novel diversity in genetically narrow cultivated Pennisetum glaucum from diverse gene pool. Practical utilization of gene pool diversity remained elusive due to genetic intricacies. Harnessing promising traits from wild pennisetum is limited by lack of information on underlying candidate genes/QTLs. Next-Generation Omics provide vast scope to speed up pre-breeding in pearl millet. Genomic resources generated out of draft genome sequence and improved genome assemblies can be employed to utilize gene bank accessions effectively. The article highlights genetic richness in pearl millet and its utilization with a focus on harnessing next-generation Omics to empower pre-breeding.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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