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Epistatic interactions of major effect drought QTLs with genetic background loci determine grain yield of rice under drought stress
Journal article   Open access   Peer reviewed

Epistatic interactions of major effect drought QTLs with genetic background loci determine grain yield of rice under drought stress

S. Yadav, N. Sandhu, R.R. Majumder, S. Dixit, S. Kumar, S.P. Singh, N.P. Mandal, S.P. Das, R.B. Yadaw, V.K. Singh, …
Scientific Reports, Vol.9(1), Art. 2616
2019
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Abstract

Epistatic interactions of QTLs with the genetic background and QTL-QTL interaction plays an important role in the phenotypic performance of introgression lines developed through genomic-assisted breeding (GAB). In this context, NIL pairs developed with various drought QTL (qDTY) combinations in the genetic background of IR64, TDK1-Sub1 and Savitri backgrounds were utilized to study the interactions. Multi-season phenotyping of NIL pairs harboring similar qDTY combinations provided contrasting performance for grain yield under drought (RS) (classified as high and low yielding NILs) but nearly similar performance under non-stress(NS) conditions. Genome wide genotyping data revealed a total of 16, 5 and 6 digenic interactions were detected under RS conditions in low yielding NILs of IR64, TDK1-Sub1 and Savitri respectively while no significant interaction was found in high yielding NILs under RS and NS conditions in any of the genetic backgrounds used in this study. It is evident from this study that existence of epistatic interactions between QTLs with genetic background, QTL-QTL interaction and interactions among background markers loci itself on different chromosomes influences the expression of a complex trait such as grain yield under drought. The generated information will be useful in all the GAB program of across the crops for precise breeding.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
3 Agriculture, Environment & Ecology
3.4 Crop Science
3.4.96 QTL
Web Of Science research areas
Agronomy
ESI research areas
Agricultural Sciences
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