Bohra, Abhishek ; Saxena, K. B. ; Varshney, Rajeev K. ; Saxena, Rachit K. (2020) Genomics-assisted breeding for pigeonpea improvement Theoretical and Applied Genetics (TAG), 133 (5). pp. 1721-1737. ISSN 0040-5752
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Official URL: http://doi.org/10.1007/s00122-020-03563-7
Related URL: http://dx.doi.org/10.1007/s00122-020-03563-7
Abstract
Pigeonpea is a nutritious and stress-tolerant grain legume crop of tropical and subtropical regions. Decades of breeding efforts in pigeonpea have resulted in development of a number of high-yielding cultivars. Of late, the development of CMS-based hybrid technology has allowed the exploitation of heterosis for yield enhancement in this crop. Despite these positive developments, the actual on-farm yield of pigeonpea is still well below its potential productivity. Growing needs for high and sustainable pigeonpea yields motivate scientists to improve the breeding efficiency to deliver a steady stream of cultivars that will provide yield benefits under both ideal and stressed environments. To achieve this objective in the shortest possible time, it is imperative that various crop breeding activities are integrated with appropriate new genomics technologies. In this context, the last decade has seen a remarkable rise in the generation of important genomic resources such as genome-wide markers, high-throughput genotyping assays, saturated genome maps, marker/gene–trait associations, whole-genome sequence and germplasm resequencing data. In some cases, marker/gene–trait associations are being employed in pigeonpea breeding programs to improve the valuable yield and market-preferred traits. Embracing new breeding tools like genomic selection and speed breeding is likely to improve genetic gains. Breeding high-yielding pigeonpea cultivars with key adaptation traits also calls for a renewed focus on systematic selection and utilization of targeted genetic resources. Of equal importance is to overcome the difficulties being faced by seed industry to take the new cultivars to the doorstep of farmers.
Item Type: | Article |
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Source: | Copyright of this article belongs to Springer Nature Switzerland AG. |
ID Code: | 124732 |
Deposited On: | 02 Dec 2021 09:55 |
Last Modified: | 02 Dec 2021 09:55 |
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