Meta-QTL analysis in wheat: progress, challenges and opportunities-Reference-Cited by-同舟云学术

Meta-QTL analysis in wheat: progress, challenges and opportunities

Published:2023-11-17 Issue:12 Volume:136 Page:
ISSN:0040-5752
Container-title:Theoretical and Applied Genetics
language:en
Short-container-title:Theor Appl Genet

Author:

Sharma Divya,Kumari Anita,Sharma Priya,Singh Anupma,Sharma Anshu,Mir Zahoor Ahmad,Kumar Uttam,Jan Sofora,Parthiban M.,Mir Reyazul Rouf,Bhati Pradeep,Pradhan Anjan Kumar,Yadav Aakash,Mishra Dwijesh Chandra,Budhlakoti Neeraj,Yadav Mahesh C.,Gaikwad Kiran B.,Singh Amit Kumar,Singh Gyanendra Pratap,Kumar Sundeep^ORCID

Funder

DBT

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Agronomy and Crop Science,General Medicine,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s00122-023-04490-z.pdf

Reference193 articles.

1. Acuña-Galindo MA, Mason RE, Subramanian NK, Hays DB (2015) Meta-analysis of wheat QTL regions associated with adaptation to drought and heat stress. Crop Sci 55:477–492. https://doi.org/10.1094/PDIS-05-20-1087-RE

2. Aduragbemi A, Soriano JM (2021) Unraveling consensus genomic regions conferring leaf rust resistance in wheat via meta-QTL analysis. BMC Genome 15(1):e20185. https://doi.org/10.1101/2021.05.11.443557

3. Agarwal P, Khurana P (2020) TaZnF, a C3HC4 type RING zinc finger protein from Triticum aestivum is involved in dehydration and salinity stress. J Plant Biochem Biotechnol 29:395–406. https://doi.org/10.1007/s13562-019-00546-8