QTL Analysis for Grain Quality Traits in 2 BC2F2 Populations Derived from Crosses between Oryza sativa cv Swarna and 2 Accessions of O. nivara
| Autor: | Neelamraju Sarla, K. Kaladhar, N. Shobha Rani, G. S. V. Prasad, G. Ashok Reddy, B. C. Viraktamath, B. P. Mallikarjuna Swamy |
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| Rok vydání: | 2012 |
| Předmět: |
Quantitative Trait Loci
Population Introgression Biology Quantitative trait locus Genetics Grain quality Cooking education Molecular Biology Alleles Genetics (clinical) education.field_of_study Oryza sativa Seed dormancy Chromosome Mapping Oryza Marker-assisted selection Genetic Enhancement Phenotype Agronomy Hybridization Genetic Dormancy Amylose Edible Grain Microsatellite Repeats Biotechnology |
| Zdroj: | Journal of Heredity. 103:442-452 |
| ISSN: | 1465-7333 0022-1503 |
| Popis: | The appearance and cooking quality of rice determine its acceptability and price to a large extent. Quantitative trait loci (QTLs) for 12 grain quality traits were mapped in 2 mapping populations derived from Oryza sativa cv Swarna × O. nivara. The BC(2)F(2) population of the cross Swarna × O. nivara IRGC81848 (population 1) was evaluated during 2005 and that from Swarna × O. nivara IRGC81832 (population 2) was evaluated during 2006. Linkage maps were constructed using 100 simple sequence repeat (SSR) markers in population 1 and 75 SSR markers in population 2. In all, 21 QTLs were identified in population 1 (43% from O. nivara) and 37 in population 2 (38% QTLs from O. nivara). The location of O. nivara-derived QTLs mp1.2 for milling percent, kw6.1 for kernel width, and klac12.1 for kernel length after cooking coincided in the 2 populations and appear to be useful for Marker Assisted Selection (MAS). Four QTLs for milling percent, 1 QTL each for amylose content, water uptake, elongation ratio, 2 QTLs for kernel width, and 3 QTLs for gel consistency, each explained more than 20% phenotypic variance. Three QTL clusters for grain quality traits were close to the genes/QTLs for shattering and seed dormancy. QTLs for 4 quality traits were associated with 5 of the 7 major yield QTLs reported in the same 2 mapping populations. Useful introgression lines have been developed for several agronomic traits. It emerges that 40% O. nivara alleles were trait enhancing in both populations, and QTLs for grain quality overlapped with yield meta-QTLs and QTLs for dormancy and seed shattering. |
| Databáze: | OpenAIRE |
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