Mapeamento de QTL para componentes de produção em arroz sob duas condições de irrigação
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2012-08-30
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Universidade Federal de Goiás
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Rice (Oryza sativa L.) has great social and economic importance worldwide. Produce food for a growing world population, promoting increased productivity in environmentally appropriate conditions, it one of the great challenges of breeding programs. Rice production based on seasonal rainfall, typical of upland rice (rainfed), today represents about 40% of Brazilian production. The agricultural irrigation consumes much of the planet's fresh water, and restricting the use of water resources is a reality. With the rising cost of water for agriculture and potential shortages in some regions of the planet, the development of plants more efficient in the water use is a priority demand of breeding programs. This study aimed to evaluate and compare the polymorphism of a set of microsatellite markers (SSRs) and SNPs (Single Nucleotide Polymorphisms) and use them for mapping QTL for yield components under two irrigation conditions. The parentals Douradão (drought tolerant) and Primavera (susceptible to drought) resulted in a segregating population consisting of 221 F2:5, which were genotyped with fluorescent SSR markers in analyzer ABI3100 (Applied Biosystems) and SNP markers developed for the GoldenGate platform based on Veracode technology (Illumina). Among the 86 SSRs, 11 (12.8%) did not amplify and 41 (54.7%) were polymorphic. Among the 1920 SNPs, 316 (16.45%) did not amplify for both parentals and 46 (2.87%) were polymorphic. The parentals and their progeny were evaluated in two trials (with and without water deficit) in 12x19 rectangular lattice design with two replications. The composite interval mapping analysis identified 53 QTL, 10 of which related to ISS (index of susceptibility to drought) and five to productivity in water stress condition. Among the identified QTL it were found putative genes related to plant abiotic stress defense mechanisms. Families CNAx15128-70-B, CNAx15128-118-B, CNAx15128-74-B and CNAx15128-120-B showed higher yield under drought and lower ISS. These families may be evaluated by rice breeding programs aiming the development of superior cultivars.
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BENÍCIO, Cristyene Gonçalves. Mapeamento de QTL para componentes de produção em arroz sob duas condições de irrigação. 2012. 109 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2012.