La Trobe

Application of genomics approaches for the improvement in ascochyta blight resistance in chickpea

Download (440.63 kB)
Version 2 2024-07-11, 05:58
Version 1 2021-11-05, 03:10
journal contribution
posted on 2024-07-11, 05:58 authored by S Sudheesh, HV Kahrood, Shivraj Braich, N Dron, K Hobson, Noel CoganNoel Cogan, Sukhjiwan KaurSukhjiwan Kaur
Advancements in high-throughput genotyping and sequencing technologies are enabling the development of a vast range of genomic tools and resources for a new revolution in plant breeding. Several genotyping-by-sequencing (GBS) methods including capture-based, genome complexity reduction and sequencing of cDNA (GBS-t) are available for application in trait dissection, association mapping, and genomic selection (GS) in crop plants. The aims of this study were to identify genomic regions conferring resistance to Ascochyta blight (AB) introgressed from the wild Cicer echinospernum into the domesticated C. arietinum, through a conventional recombinant inbred population genotyped using a variety of GBS methods. Evaluation of GBS methods revealed that capture-based approaches are robust and reproducible while GBS-t is rapid and flexible. A genetic linkage map consisting of 5886 polymorphic loci spanning 717.26 cM was generated. Using field phenotyping data from two years, a single genomic region on LG4 was identified with quantitative trait loci (QTL) mapping. Both GBS methods reported in this study are well suited for applications in genomics assisted plant breeding. Linked markers for AB resistance, identified in the current study, provide an important resource for the deployment into chickpea breeding programs for marker-assisted selection (MAS).

History

Publication Date

2021-09-27

Journal

Agronomy

Volume

11

Issue

10

Article Number

1937

Pagination

12p.

Publisher

MDPI

ISSN

2073-4395

Rights Statement

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).