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Original Research Articles                      Volume : 9, Issue:7, July, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(7): 3804-3812
DOI: https://doi.org/10.20546/ijcmas.2020.907.445


Genetic Mapping of QTLs for Physiological Traits in Rice (Oryza sativa L.) by using Danteswari/Daggad Deshi Ril Population
Helan Baby Thomas1*, Satish Verulkar1, Ritu Ratan Saxena2 and Sunil Kumar Verma1
1Department of Plant Molecular Biology and Biotechnology, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492012, India
2Department of Plant Breeding and Genetics, Indira Gandhi Krishi Vishwavidyalaya, Raipur-492012, India
*Corresponding author
Abstract:

Drought is a major constraint in rice- growing areas of Asia. Identification of genomic regions containing QTLs governing drought tolerance traits is inevitable for developing novel genotypes with enhanced drought tolerance. A RIL population of 122 lines derived from a cross of Daggaddeshi/Danteswari was used for identification of QTL governing traits associated with yield was used in the study. A new QTL (qDTY12.2) linked to grain yield was identified in both stress and non-stress conditions. Several QTLs linked to different secondary traits associated with grain yield in stress condition were also identified. These QTLs can be used for further studies using marker assisted breeding for enhancing drought tolerance.


Keywords: Rice, Drought, Marker, QTL

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How to cite this article:

Helan Baby Thomas, Satish Verulkar, Ritu Ratan Saxena and Sunil Kumar Verma. 2020. Genetic Mapping of QTLs for Physiological Traits in Rice (Oryza sativa L.) by using Danteswari/Daggad Deshi Ril Population.Int.J.Curr.Microbiol.App.Sci. 9(7): 3804-3812. doi: https://doi.org/10.20546/ijcmas.2020.907.445
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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