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QTL Analysis for Grain Iron and Zinc Concentrations in Two O. nivara Derived Backcross Populations.

Authors :
Swamy, B.P.M.
Kaladhar, K.
Anuradha, K.
Batchu, Anil K.
Longvah, T.
Sarla, N.
Source :
Rice Science; Jul2018, Vol. 25 Issue 4, p197-207, 11p
Publication Year :
2018

Abstract

Identification of quantitative trait loci (QTLs) for grain mineral elements can assist in faster and more precise development of micronutrient dense rice varieties through marker-assisted breeding. In the present study, QTLs were mapped for Fe and Zn concentrations in two BC 2 F 3 mapping populations derived from the crosses of O. sativa cv Swarna with two different accessions of O. nivara . In all, 10 and 8 QTLs were identified for grain Fe and Zn concentrations in population 1, and 7 and 5 QTLs were identified in population 2, respectively. Eighty percent of the QTLs detected in both populations were derived from O. nivara . Five QTLs for Fe and three QTLs for Zn explained more than 15% phenotypic variance either in interval or composite interval mapping. The locations of O. nivara derived QTLs such as qFe2.1 , qFe3.1 , qFe8.2 and qZn12.1 were consistently identified in both the populations. Epistatic interaction was observed only between RM106 and RM6 on chromosome 2 and between RM22 and RM7 on chromosome 3 for Fe concentration in population 1. Sixteen candidate genes for metal homeostasis were found to co-locate with 10 QTLs for Fe and Zn concentrations in both the populations. Most of the Fe and Zn QTLs were found to co-locate with QTLs for grain yield and grain quality traits. Some of the major effect QTLs identified can be used to improve rice grain Fe and Zn concentrations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16726308
Volume :
25
Issue :
4
Database :
Supplemental Index
Journal :
Rice Science
Publication Type :
Academic Journal
Accession number :
130377459
Full Text :
https://doi.org/10.1016/j.rsci.2018.06.003