Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits
The chickpea (Cicer arietinum L., family Fabaceae) is a diploid with a chromosome number of 2n = 16. It is a self-pollinated crop which is classified as a cool-season pulse. With a genome size of approximately 738 Mb, chickpea is cultivated in over 50 countries worldwide. Within the domain of chickp...
| Main Authors: | , , , , |
|---|---|
| Format: | Book Chapter |
| Language: | Inglés |
| Published: |
CRC Press
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/162629 |
| _version_ | 1855533406075486208 |
|---|---|
| author | Pandey, Sarita Anand, Abhishek Rathore, Abhishek Taddi, Satya Kole, Chittaranjan |
| author_browse | Anand, Abhishek Kole, Chittaranjan Pandey, Sarita Rathore, Abhishek Taddi, Satya |
| author_facet | Pandey, Sarita Anand, Abhishek Rathore, Abhishek Taddi, Satya Kole, Chittaranjan |
| author_sort | Pandey, Sarita |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The chickpea (Cicer arietinum L., family Fabaceae) is a diploid with a chromosome number of 2n = 16. It is a self-pollinated crop which is classified as a cool-season pulse. With a genome size of approximately 738 Mb, chickpea is cultivated in over 50 countries worldwide. Within the domain of chickpea genomics, a vast repository of genetic sequence data is gathered in publicly accessible databases, a consequence of comprehensive genome sequencing initiatives across crop species. The exploitation of this genomic resource is of paramount importance in the pursuit of novel and superior allelic variants present within agronomically important genes. These genetic variations, ensconced within the diverse chickpea gene reservoir, hold considerable potential for driving the advancement of improved cultivars. The approach of allele mining is a robust investigative approach geared toward the dissection of naturally occurring allelic diversity residing within candidate genes that exert key control over fundamental agronomic traits. Allele mining leads to the development of molecular markers tailored to the precise area of marker-assisted selection, thereby bolstering the efficacy of genetic enhancement endeavors. This book chapter discusses the concepts, approaches, and accomplishments of allele mining in chickpea, shedding light on its role in elucidating allelic evolution, discovering novel haplotypes, and developing allele-specific markers for marker-assisted selection. |
| format | Book Chapter |
| id | CGSpace162629 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | CRC Press |
| publisherStr | CRC Press |
| record_format | dspace |
| spelling | CGSpace1626292025-01-24T08:54:48Z Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits Pandey, Sarita Anand, Abhishek Rathore, Abhishek Taddi, Satya Kole, Chittaranjan chickpeas genomics databases nucleotide sequence genetic variation alleles marker-assisted selection The chickpea (Cicer arietinum L., family Fabaceae) is a diploid with a chromosome number of 2n = 16. It is a self-pollinated crop which is classified as a cool-season pulse. With a genome size of approximately 738 Mb, chickpea is cultivated in over 50 countries worldwide. Within the domain of chickpea genomics, a vast repository of genetic sequence data is gathered in publicly accessible databases, a consequence of comprehensive genome sequencing initiatives across crop species. The exploitation of this genomic resource is of paramount importance in the pursuit of novel and superior allelic variants present within agronomically important genes. These genetic variations, ensconced within the diverse chickpea gene reservoir, hold considerable potential for driving the advancement of improved cultivars. The approach of allele mining is a robust investigative approach geared toward the dissection of naturally occurring allelic diversity residing within candidate genes that exert key control over fundamental agronomic traits. Allele mining leads to the development of molecular markers tailored to the precise area of marker-assisted selection, thereby bolstering the efficacy of genetic enhancement endeavors. This book chapter discusses the concepts, approaches, and accomplishments of allele mining in chickpea, shedding light on its role in elucidating allelic evolution, discovering novel haplotypes, and developing allele-specific markers for marker-assisted selection. 2024 2024-11-22T15:33:31Z 2024-11-22T15:33:31Z Book Chapter https://hdl.handle.net/10568/162629 en Limited Access CRC Press Pandey, S., Anand, A., Rathore, A., Taddi, S., & Kole, C. (2024). Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits. In allele mining for genomic designing of grain legume crops. CRC Press (pp. 50-70). https://doi.org/10.1201/9781003385059-3 |
| spellingShingle | chickpeas genomics databases nucleotide sequence genetic variation alleles marker-assisted selection Pandey, Sarita Anand, Abhishek Rathore, Abhishek Taddi, Satya Kole, Chittaranjan Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits |
| title | Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits |
| title_full | Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits |
| title_fullStr | Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits |
| title_full_unstemmed | Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits |
| title_short | Prospects and potentials of allele mining in chickpea for qualitative and quantitative traits |
| title_sort | prospects and potentials of allele mining in chickpea for qualitative and quantitative traits |
| topic | chickpeas genomics databases nucleotide sequence genetic variation alleles marker-assisted selection |
| url | https://hdl.handle.net/10568/162629 |
| work_keys_str_mv | AT pandeysarita prospectsandpotentialsofallelemininginchickpeaforqualitativeandquantitativetraits AT anandabhishek prospectsandpotentialsofallelemininginchickpeaforqualitativeandquantitativetraits AT rathoreabhishek prospectsandpotentialsofallelemininginchickpeaforqualitativeandquantitativetraits AT taddisatya prospectsandpotentialsofallelemininginchickpeaforqualitativeandquantitativetraits AT kolechittaranjan prospectsandpotentialsofallelemininginchickpeaforqualitativeandquantitativetraits |