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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 561809
Title Genetic mapping and QTL analysis of agronomic traits in Indian Mucuna pruriens using an intraspecific F2 population
Author(s) Mahesh, S.; Leelambika, M.; Jaheer, M.D.; Anithakumari, A.M.; Sathyanarayana, N.
Source Journal of genetics 95 (2016)1. - ISSN 0022-1333 - p. 35 - 44.
DOI https://doi.org/10.1007/s12041-015-0602-1
Department(s) Plant Breeding
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) intraspecific linkage map - Mucuna pruriens - quantitative trait loci mapping - velvet bean
Abstract

Mucuna pruriens is a well-recognized agricultural and horticultural crop with important medicinal use. However, antinutritional factors in seed and adverse morphological characters have negatively affected its cultivation. To elucidate the genetic control of agronomic traits, an intraspecific genetic linkage map of Indian M. pruriens has been developed based on amplified fragment length polymorphism (AFLP) markers using 200 F 2 progenies derived from a cross between wild and cultivated genotypes. The resulting linkage map comprised 129 AFLP markers dispersed over 13 linkage groups spanning a total distance of 618.88 cM with an average marker interval of 4.79 cM. For the first time, three QTLs explaining about 6.05–14.77% of the corresponding total phenotypic variation for three quantitative (seed) traits and, eight QTLs explaining about 25.96% of the corresponding total phenotypic variation for three qualitative traits have been detected on four linkage groups. The map presented here will pave a way for mapping of genes/QTLs for the important agronomic and horticultural traits contrasting between the parents used in this study.

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