Abstract

Backcross inbred lines (BILs) derived from elite x wild crosses are very useful for basic studies and breeding. The aim of this study was to map quantitative trait loci (QTLs) associated with yield and related traits and to identify chromosomal segment substitution lines (CSSLs) from unselected BC2F8 BILs of Swarna/Oryza nivara IRGC81848. In all, 94 BILs were field evaluated in 2 years (wet seasons, 2014 and 2015) for nine traits; days to 50% flowering, days to maturity (DM), plant height (PH), number of tillers, number of productive tillers, panicle weight, yield per plant, bulk yield, and biomass. BILs were genotyped using 111 polymorphic simple sequence repeats distributed across the genome. Fifteen QTLs including 10 novel QTLs were identified using composite interval mapping, Inclusive composite interval mapping and multiple interval mapping (MIM). O. nivara alleles were trait-enhancing in 26% of QTLs. Only 3 of 15 QTLs were also reported previously in BC2F2 of the same cross. These three included the two major effect QTLs for DM and PH detected in both years with 13 and 20% phenotypic variance. Further, a set of 74 CSSLs was identified using CSSL Finder and 22 of these showed significantly higher values than Swarna for five yield traits. CSSLs, 220S for panicle weight and 10-2S with consistent high yield in both years are worthy of large scale field evaluation. The major QTLs and 22 significantly different CSSLs are a useful resource for rice improvement and dissecting yield related traits.

Highlights

  • Rice (Oryza sativa L.) is the most important cereal food crop cultivated worldwide

  • In 2 years an average of 34% of Backcross inbred lines (BILs) exhibited 15% to 70% increase over Swarna for plant height (PH), panicle weight (PW), yield per plant (YLDP), bulk yield (BY), and BM

  • Three BILs for days to 50% flowering (DFF) and PH, 9 BILs for BM and 30 BILs for PW were significantly different from Swarna but only in 1 year

Read more

Summary

Introduction

Rice (Oryza sativa L.) is the most important cereal food crop cultivated worldwide. The rapid growth in the world’s population, which is expected to reach 9.1 billion by 2050 demands global rice production to be doubled (Ray et al, 2013). Land races and wild species of rice are sources of abundant genetic variation that can be tapped to increase rice yield sustainably. QTL Mapping and CSSL Identification from O. nivara are an important source of genetic variability for tolerance to biotic and abiotic stresses and for improvement of yield as well (Brar and Khush, 1997; Brar and Singh, 2011; Singh K. et al, 2016)

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call