Genetic analysis of morphological variation in Brassica oleracea using molecular markers View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-01

AUTHORS

W. C. Kennard, M. K. Slocum, S. S. Figdore, T. C. Osborn

ABSTRACT

A cross between the open-pollinated Brassica oleracea cabbage cultivar 'Wisconsin Golden Acre' and the hybrid broccoli cultivar 'Packman' was used with molecular markers to investigate the genetic control of morphological variation. Twenty-two traits derived from leaf, stem, and flowering measurements were analyzed in 90 F2 individuals that were also classified for genotype by restriction fragment length polymorphism (RFLP) markers. Seventy-two RFLP loci, which covered the mapped genome at an average of 10 map-unit intervals on all nine linkage groups, were tested individually for associations to phenotypic measurements by single factor ANOVA, and markers with significant associations (P<0.05) were used to develop multilocus models. These data were utilized to describe the location, parental contribution of alleles, magnitude of effect, and the gene action of trait loci. Single marker loci that were significantly associated (P<0.05) with trait measurements accounted for 6.7-42.7% of the phenotypic variation. Multilocus models described as much as 60.1% of the phenotypic variation for a given trait. In some cases, different related traits had common marker-locus associations with similar gene action and genotypic class ranking. The numbers, action, and linkages, of genes controlling traits estimated with marker loci in this population corresponded to estimates based on classical genetic methods from other studies using similar, or similarly-wide, crosses. There was no evidence that genome duplication accounted for a significant portion of multiple genes controlling trait loci over the entire genome, but possible duplications of trait loci were identified for two regions with linked, duplicated marker loci. More... »

PAGES

721-732

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00222898

DOI

http://dx.doi.org/10.1007/bf00222898

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047616337

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24190416


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