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...

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Main Authors: Pandey, Sarita, Anand, Abhishek, Rathore, Abhishek, Taddi, Satya, Kole, Chittaranjan
Format: Book Chapter
Language:Inglés
Published: CRC Press 2024
Subjects:
Online Access:https://hdl.handle.net/10568/162629
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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.
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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
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