Literature DB >> 24220818

The use of ecogeographical data in the exploitation of variation from gene banks.

J P Peeters1, H G Wilkes, N W Galwey.   

Abstract

As the variation of species is known to be influenced both by ecological and geographical factors, data on the origin of a sample from a given species could be used to infer some of its genetic characteristics. This concept was examined in the context of gene banks, where the assembled diversity usually represents a large range of environments and geographic locations. Results suggest that, although ecological variables in the site of origin can be useful in predicting genetic characteristics in the samples, the use of such data is neither simple nor precise. On the other hand simple geographic data, irrespective of their ecological content, were found to offer an effective method of stratifying and sampling variation in germ plasm collections.

Year:  1990        PMID: 24220818     DOI: 10.1007/BF00224023

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


  2 in total

1.  Hierarchical cluster analysis as a tool to manage variation in germplasm collections.

Authors:  J P Peeters; J A Martinelli
Journal:  Theor Appl Genet       Date:  1989-07       Impact factor: 5.699

2.  Potential genetic resources in tomato species: clues from observations in native habitats.

Authors:  C M Rick
Journal:  Basic Life Sci       Date:  1973
  2 in total
  2 in total

1.  Hierarchical clustering of perennial ryegrass populations with geographic contiguity constraint.

Authors:  G Charmet; F Balfourier; P Monestiez
Journal:  Theor Appl Genet       Date:  1994-04       Impact factor: 5.699

2.  Strategy for exploiting exotic germplasm using genetic, morphological, and environmental diversity: the Aegilops tauschii Coss. example.

Authors:  H Jones; N Gosman; R Horsnell; G A Rose; L A Everest; A R Bentley; S Tha; C Uauy; A Kowalski; D Novoselovic; R Simek; B Kobiljski; A Kondic-Spika; L Brbaklic; O Mitrofanova; Y Chesnokov; D Bonnett; A Greenland
Journal:  Theor Appl Genet       Date:  2013-04-05       Impact factor: 5.699

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.