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2014•Dongbei Nongye Daxue xuebaoRequires access

Genetic analysis and QTL identification of secondary branch number and ripening rate traits of japonica rice in cold

Zou Detan

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Abstract

F1- F4generations derived from a cross between japonica variety Dongnong422 and Kongyu131 with high yield and quality in Northeast of China were used for genetic effect analysis on secondary branch number(SBN) and ripening rate(RR) traits under main gene plus polygene mixed genetic model of plant quantitative traits. Furthermore, SSR markers based genetic linkage map were constructed to identify QTLs underlying the above traits. The results indicated that SBN and RR were controlled by two major genes plus polygene and E-1-0 and E-1-2 model were the optimum genetic model for SBN and RR, respectively. The heritability of major gene was much greater than that of the rate of the polygene. Two QTLs associated with SBN and RR were detected in two generations, respectively. The results of genetic analysis and QTL identification were basically identical.

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What this paper is about

F1- F4generations derived from a cross between japonica variety Dongnong422 and Kongyu131 with high yield and quality in Northeast of China were used for genetic effect analysis on secondary branch number(SBN) and ripening rate(RR) traits under main gene plus polygene mixed genetic model of plant quantitative traits. Furthermore, SSR markers based genetic linkage map were constructed to identify QTLs underlying the above traits. The results indicated that SBN and RR were controlled by two major genes plus polygene and E-1-0 and E-1-2 model were the optimum genetic model for SBN and RR, respectively. The heritability of major gene was much greater than that of the rate of the polygene. Two QTLs associated with SBN and RR were detected in two generations, respectively. The results of genetic analysis and QTL identification were basically identical.

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Available abstract

F1- F4generations derived from a cross between japonica variety Dongnong422 and Kongyu131 with high yield and quality in Northeast of China were used for genetic effect analysis on secondary branch number(SBN) and ripening rate(RR) traits under main gene plus polygene mixed genetic model of plant quantitative traits. Furthermore, SSR markers based genetic linkage map were constructed to identify QTLs underlying the above traits. The results indicated that SBN and RR were controlled by two major genes plus polygene and E-1-0 and E-1-2 model were the optimum genetic model for SBN and RR, respectively. The heritability of major gene was much greater than that of the rate of the polygene. Two QTLs associated with SBN and RR were detected in two generations, respectively. The results of genetic analysis and QTL identification were basically identical.

Key concepts: Polygene, Quantitative trait locus, Biology, Major gene, Heritability, Japonica, Genetic analysis, Ripening

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Genetic analysis and QTL identification of secondary branch number and ripening rate traits of japonica rice in cold — Research Paper | ScholarLens