期刊
PLANT BREEDING
卷 133, 期 4, 页码 499-507出版社
WILEY
DOI: 10.1111/pbr.12179
关键词
soybean seed protein concentration; QTL mapping; QTLnetwork; marker-assisted selection
资金
- National High Technology Project [2006AA10Z1F4]
- 948 project of Agricultural ministry of China [2006-G51(A)]
- Research Fund for the Doctoral Program of Higher Education of China [20122325120015]
- China Postdoctoral Science Foundation [2012M520030]
- Natural Science Foundation of Heilongjiang Province of China [ZD201213]
- New Century Excellent Talent Training Plan of Heilongjiang Province Ordinary Institutions of Higher Learning [1252-NCET-004]
- 863 Program [2013AA102602]
Soybean protein concentration is a key trait driver of successful soybean quality. A recombination inbred lines derived from a cross between 'Charleston' and 'Dongnong594', were planted in three environments across four years in China. Then, the genetic effects were partitioned into additive main effects, epistatic main effects and their environment interaction effects by using composite interval mapping, multiple interval mapping and composite interval mapping in a mixed linear model. Forty-three quantitative trait loci QTLs were identified on 17 of 20 soybean chromosomes excluding Ch 7, Ch 8 and Ch 17. Two QTLs showed a good stability across multiple environments, qPRO20-1 was detected under four environments, which explained 4.4-9.95% phenotypic variances and the allele was from 'Charleston' among four environments. qPRO7-5 was detected under three environments, which explained 7.2-14.5% phenotypic variances and the allele was from 'Dongnong 594', three pathway genes of protein biosynthesis were detected in the interval of qPRO7-5. The additive main-effect QTLs contributed more phenotypic variation than the epistasis and environmental interaction. This indicated that it is feasible by marker-assisted selection to improve soybean protein concentration.
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