期刊论文详细信息
Crop Science
Identification of Quantitative Trait Loci for Grain Yield and Other Traits in Tropical Maize Under High and Low Soil-Nitrogen Environments
Ribeiro, P.F.^11  Danquah, E.Y.^32  Badu-Apraku, B.^23  Gracen, V.E.^34 
[1] CSIR– Crops Research Institute (CRI), P. O. Box 3785, Fumesua, Kumasi, Ghana West Africa Centre for Crop Improvement, Univ. of Ghana, Legon, Ghana^1;CSIR– Crops Research Institute (CRI), P. O. Box 3785, Fumesua, Kumasi, Ghana^4;International Institute of Tropical Agriculture, P.M.B. 5320, Ibadan, Nigeria^2;West Africa Centre for Crop Improvement, Univ. of Ghana, Legon, Ghana^3
关键词: ASI;    anthesis–silking interval;    CIM;    composite interval mapping;    CSIR;    Council for Scientific and Industrial Research;    DTA;    days to anthesis;    DTS;    days to silk;    EHT;    ear height;    EPP;    ears per plant;    GEI;    genotype by environment interaction;    GY;    grain yield;    HN;    High Nitrogen;    h 2;    Broad sense heritability;    IITA;    International Institute of Tropical Agriculture;    LOD;    logarithm of the odds;    MAS;    Marker assisted selection;    P;    plant aspect;    PHT;    Plant height;    PVE;    phenotypic variance explained;    QTL;    Quantitative trait locus;    QTLs;    Quantitative trait loci;    SG;    stay-green;    SGC;    stay-green characteristic;   
DOI  :  10.2135/cropsci2017.02.0117
学科分类:农业科学(综合)
来源: Crop Science
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【 摘 要 】

Low soil Nitrogen (low-N) is one of the most important abiotic stressors responsible for significant yield losses in maize (Zea mays L.). The development and commercialization of low-N–tolerant genotypes can contribute to improved food security in developing countries. However, selection for low-N tolerance is difficult because it is a complex trait with strong interaction between genotypes and environments. Marker-assisted breeding holds great promise for improving such complex traits more efficiently and in less time, but requires markers associated with the trait of interest. In this study, 150 BC2F1 families of CML 444 × CML 494 were evaluated at two locations for two consecutive seasons to identify SNP markers associated with quantitative trait loci (QTL) for yield and other agronomic traits under low- and high-N environments. A total of 13 QTL were identified with 158 SNP markers, of which nine and four QTL were detected under low- and high-N environments, respectively. Five QTL one each for grain yield (qgy-1), days to silking (qdts-1) and anthesis- silking interval (qasi-6), and two for stay green characteristic (qsg-1 and qsg-4) were close to their adjacent markers, with an interval of 0.7 to 5.2 cM between them and explained phenotypic variance of 9 to 21%. These QTL would be invaluable for rapid introgression of genomic regions into maize populations using marker-assisted selection (MAS) approaches. However, further validation of these QTL is needed before use in MAS.

【 授权许可】

CC BY   

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