SciELO - Scientific Electronic Library Online

 
vol.61 issue4Fast changes in seasonal forest communities due to soil moisture increase after dammingNesting ecology of Chelonia mydas Testudines: Cheloniidae on the Guanahacabibes Peninsula, Cuba author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Revista de Biología Tropical

On-line version ISSN 0034-7744Print version ISSN 0034-7744

Abstract

V., Vinu et al. Evaluación de la diversidad genética en genotipos de Brassica juncea Brassicaceae utilizando diferencias fenotípicas y marcadores SSR. Rev. biol. trop [online]. 2013, vol.61, n.4, pp.1919-1934. ISSN 0034-7744.

Brassica mustard species represent one of the most important oilseed crops in India, nevertheless, their genetic diversity is barely known. A better understanding on this topic is essential for the proper utilization of genotypes in breeding programmes. We evaluated the genetic diversity among 44 Indian mustard Brassica juncea genotypes including varieties/purelines from different agro-climatic zones of India and few exotic genotypes Australia, Poland and China. For this, we used A and B genome specific SSR markers and phenotypic data on 12 yield and yield contributing traits. Out of the 143 primers tested, 134 reported polymorphism and a total of 355 alleles were amplified. Dendrograms based on Jaccards similarity coefficients and Manhattan dissimilarity coefficients were generated based on an average linkage algorithm UPGMA using marker data and phenotypic data. Genotypes were grouped into four clusters based on genetic distances. Both the clustering patterns based on Jaccards similarity and Manhattan dissimilarity coefficients, independently, discriminated the genotypes effectively as per their pedigree and origin. PCoA revealed that, the grouping of genotypes based on SSR marker data is more convincing than phenotypic data, however, the correlation between phenotypic and genetic distance matrices was observed to be very low r=0.11. Hence, for diversity studies reliability on molecular markers is worth proving and SSR markers are the stronger tools than quantitative traits in discriminating B. juncea genotypes.

Keywords : Brassica juncea; genetic diversity; quantitative traits; SSR markers.

        · abstract in English     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License