<b>QTLs identification for characteristics of the root system in upland rice through DNA microarray

  • Thiago Gledson Rios Terra Universidade Federal do Tocantins
  • Haroldo Silva Rodrigues Universidade Federal de Viçosa
  • Paulo Hideo Nakano Rangel Embrapa Arroz e Feijão
  • Rafael Simões Tomaz Universidade Estadual Paulista
  • Cosme Damião Cruz Universidade Federal de Viçosa
  • Aluízio Borém Universidade Federal de Viçosa

Resumo

The aim of this work is the construction of a genetic map and identification of quantitative trait loci (QTLs) that control characteristics of the root system of rice. We evaluated a F2:3 population composed of 150 families from the cross between the varieties IAC 165 × BRS Primavera. Genotyping was performed in the F2 population using 3,742 SNP (Single Nucleotide Polymorphism) markers. The evaluation of the root system in the F3 population was performed through a large-scale phenotyping method based on image generation with a CI-600 root scanner and on quantification through the WinRhizo® software. The experiment was arranged in a randomized block design with three replications performed under greenhouse. The variables analyzed were root length, root surface area and root volume at the depths of 5 to 25 cm and 25 to 45 cm. The SNP markers analysis allowed the construction of the genetic map with a full length of 1424 cM. The linkage group with the largest coverage area was number 3 with 270 cM (100 SNPs), followed by linkage group 1 with 249 cM (170 SNPs) and linkage group 2 with 163 cM (99 SNPs). The genetic analysis allowed the detection of QTLs for all the characteristics.

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Publicado
2016-09-02
Como Citar
Terra, T. G. R., Rodrigues, H. S., Rangel, P. H. N., Tomaz, R. S., Cruz, C. D., & Borém, A. (2016). <b&gt;QTLs identification for characteristics of the root system in upland rice through DNA microarray. Acta Scientiarum. Agronomy, 38(4), 457-466. https://doi.org/10.4025/actasciagron.v38i4.30534
Seção
Genética e Melhoramento

 

2.0
2019CiteScore
 
 
60th percentile
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2.0
2019CiteScore
 
 
60th percentile
Powered by  Scopus