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| Mapping QTL for Grain Quality Traits in Maize (Zea mays) Under Multi-Environments |
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Abstract Mining the quantitative trait loci (QTL) related to the maize (Zea mays) grain quality traits can provide the theoretical basis for molecular breeding. In this study, the population containing 150 recombinant inbred lines ( RILs) derived from Xu178×K12 were evaluated for the content of the protein, starch and oil for 3 years under 7 different environments. The best linear unbiased prediction method (BULP) was used to estimate the BLUP value of each trait with the phenotypic value. Composite interval mapping method (CIM) of WinQTLcart 2.5 were using to scanning the QTLs carried out with logarithm viscosity odds (LOD) is 2.5 for 3 quality traits. In total of 20 QTLs were identified distributed chromosome 1, 2, 4, 5, 6 and 10 according to the QTLs analysis. Nine QTLs for protein were identified, six QTLs for starch were identified and 5 QTLs for oil were identified. The QTLs explained 2.3%~15.7% of phenotypic variation. And the LOD values ranged from 2.52 to 6.50. The QTL at Bin4.07/4.08 was detected under 4 environments and BLUP value. And QTL in Bin6.05/6.06 was detected under 4 environments. As well as 2 QTLs located in Bin5.07 were detected in 3 environments. In this study, the QTL mapped in the marker intervals umc1194~umc2384 on chromosome could detected in multiple environments. The QTL explained 10.3%~15.7% of phenotypic variation. This stable QTL was considered to be major QTL for maize protein content, which was expected that this QTL could be applied on the genetic improvement of maize grain quality. The experiment of QTL analysis associated quality traits of maize grain provides basic data for molecular breeding of maize.
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Received: 22 March 2018
Published: 20 November 2018
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