Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 108890
Title Identification of QTLs for grain yield and grain-related traits of maize (Zea mays L.) using an AFLP-map, different testers, and cofactor analysis
Author(s) Ajimone Marsan, P.; Gorni, C.; Chitto, A.; Redaelli, R.; Vijk, R. van; Stam, P.; Motto, M.
Source Theoretical and Applied Genetics 102 (2001). - ISSN 0040-5752 - p. 230 - 243.
DOI http://dx.doi.org/10.1007/s001220051640
Department(s) Laboratory of Plant Breeding
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2001
Abstract Abstract We exploited the AFLP?1(AFLP? is a registered trademark of Keygene, N.V.) technique to map and characterise quantitative trait loci (QTLs) for grain yield and two grain-related traits of a maize segregating population. Two maize elite inbred lines were crossed to produce 229 F2 individuals which were genotyped with 66 RFLP and 246 AFLP marker loci. By selfing the F2 plants 229 F3 lines were produced and subsequently crossed to two inbred testers (T1 and T2). Each series of testcrosses was evaluated in field trials for grain yield, dry matter concentration, and test weight. The efficiency of generating AFLP markers was substantially higher relative to RFLP markers in the same population, and the speed at which they were generated showed a great potential for application in marker-assisted selection. AFLP markers covered linkage group regions left uncovered by RFLPs; in particular at telomeric regions, previously almost devoided of markers. This increase of genome coverage afforded by the inclusion of the AFLPs revealed new QTL locations for all the traits investigated and allowed us to map telomeric QTLs with higher precision. The present study has also provided an opportunity to compare simple (SIM) and composite interval mapping (CIM) for QTL analysis. Our results indicated that the method of CIM employed in this study has greater power in the detection of QTLs, and provided more precise and accurate estimates of QTL positions and effects than SIM. For all traits and both testers we detected a total of 36 QTLs, of which only two were in common between testers. This suggested that the choice of a tester for identifying QTL alleles for use in improving an inbred is critical and that the expression of QTL alleles identified may be tester-specific.
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