Literature DB >> 12845445

Swiss Mattenklee landraces, a distinct and diverse genetic resource of red clover (Trifolium pratense L.).

R Kölliker1, D Herrmann, B Boller, F Widmer.   

Abstract

Genetic variability within and among 19 landraces and cultivars of red clover ( Trifolium pratense L.) was investigated by means of amplified fragment length polymorphism (AFLP) analysis in order to assess the potential value of Swiss Mattenklee landraces as genetic resources for plant breeding and the preservation of biodiversity. Populations were classified into three groups according to their origin and agronomic features: Mattenklee landraces (8), Mattenklee cultivars (8) and field clover cultivars (3). Analysis of molecular variance based on 276 polymorphic AFLP markers revealed 80% of total variability to be due to variability within populations while 12% were attributed to variability among groups. Stepwise discriminant analysis identified a subset of 126 AFLP markers which best separated individual plants into the three respective groups. Genetic distances between populations were considerably larger among groups than among populations within the same group, providing further evidence for the genetic distinction between Mattenklee landraces, Mattenklee cultivars and field clover cultivars. AFLP markers identified two landrace clusters, containing three and four populations respectively, which, together with one additional landrace, may sufficiently represent the genetic variability of all eight landraces investigated. The results of this study strongly suggest that Swiss Mattenklee landraces form a genetically distinct group of red clover. The data obtained provide criteria on how to efficiently manage, preserve and exploit Mattenklee germplasm.

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Year:  2003        PMID: 12845445     DOI: 10.1007/s00122-003-1248-6

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  10 in total

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Journal:  Mol Gen Genet       Date:  1994-10-28
  10 in total
  8 in total

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7.  Genotype matrix mapping: searching for quantitative trait loci interactions in genetic variation in complex traits.

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  8 in total

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