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Title:Performance of backcrossed doubled-haploid lines of rice under contrasting moisture regimes: root system and grain yield components
DOI No:10.1142/9789812814319_0029
Source:ADVANCES IN RICE GENETICS (pp 69-71)
Author(s):M. Toorchi
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, GKVK, Bangalore, 560 065, India

H. E. Shashidhar
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, GKVK, Bangalore, 560 065, India

S. Hittalmani
Department of Agronomy, Faculty of Agriculture, Tabriz University, Tabriz, Iran

Abstract:BC1F1 plants involving nine transgressant doubled-haploid lines from an IR64 × Azucena mapping population along with parents and checks were evaluated for root morphology and yield-related characters under contrasting moisture regimes. True backcrossed plants were identified using RAPD markers. Marked genotypic differences were observed across three samplings by individual as well as combined ANOVA. Significant G × E interaction was observed for the traits studied. In sampling at 80 d after sowing and at harvest, root-to-shoot dry weight ratio exhibited a significant increase under severe low-moisture stress conditions. Grain yield showed the most reduction (28%) under severe stress conditions. Multiple regression revealed total dry weight to be the most significant variable under well-watered conditions, explaining up to 30% of the variability in grain yield, whereas, under severe stress conditions, root dry weight explained 20% of the variability in grain yield. The influence of the root system on grain yield was quantified using canonical correlation. Among the nine backcrosses studied, P331 × IR64 and P124 × IR64 were selected to identify near-isogenic lines (NILs) for fine-mapping of QTLs for root morphological characters. Selection for developing NILs was based on performance of the backcrosses in terms of maximum root length and grain yield under both well-watered and low-moisture stress conditions.
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