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Evidences of local adaptation in quantitative traits in Prosopis alba (Leguminosae)

Overview of attention for article published in Genetica, December 2014
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Title
Evidences of local adaptation in quantitative traits in Prosopis alba (Leguminosae)
Published in
Genetica, December 2014
DOI 10.1007/s10709-014-9810-5
Pubmed ID
Authors

C. Bessega, C. Pometti, M. Ewens, B. O. Saidman, J. C. Vilardi

Abstract

Signals of selection on quantitative traits can be detected by the comparison between the genetic differentiation of molecular (neutral) markers and quantitative traits, by multivariate extensions of the same model and by the observation of the additive covariance among relatives. We studied, by three different tests, signals of occurrence of selection in Prosopis alba populations over 15 quantitative traits: three economically important life history traits: height, basal diameter and biomass, 11 leaf morphology traits that may be related with heat-tolerance and physiological responses and spine length that is very important from silvicultural purposes. We analyzed 172 G1-generation trees growing in a common garden belonging to 32 open pollinated families from eight sampling sites in Argentina. The multivariate phenotypes differ significantly among origins, and the highest differentiation corresponded to foliar traits. Molecular genetic markers (SSR) exhibited significant differentiation and allowed us to provide convincing evidence that natural selection is responsible for the patterns of morphological differentiation. The heterogeneous selection over phenotypic traits observed suggested different optima in each population and has important implications for gene resource management. The results suggest that the adaptive significance of traits should be considered together with population provenance in breeding program as a crucial point prior to any selecting program, especially in Prosopis where the first steps are under development.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Researcher 7 19%
Student > Bachelor 3 8%
Professor 3 8%
Student > Doctoral Student 3 8%
Other 5 14%
Unknown 6 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 64%
Environmental Science 2 6%
Psychology 1 3%
Engineering 1 3%
Unknown 9 25%