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An Internet-based platform for the estimation of outcrossing potential between cultivated and Chilean vascular plants.
Cid, Pablo; Aguirre, Carlos; Sánchez, Miguel Ángel; Zamorano, Daniel; Mihoc, Maritza; Salazar, Erika; Chacón, Gustavo; Navarrete, Humberto; Rosas, Marcelo; Prieto, Humberto.
Afiliación
  • Cid P; Biotechnology Laboratory La Platina Research Station Instituto de Investigaciones Agropecuarias La Pintana Santiago Chile.
  • Aguirre C; Biotechnology Laboratory La Platina Research Station Instituto de Investigaciones Agropecuarias La Pintana Santiago Chile.
  • Sánchez MÁ; Asociación Gremial ChileBio CropLife Providencia Santiago Chile.
  • Zamorano D; Limnology Laboratory Facultad de Ciencias Universidad de Chile Macul, Santiago de Chile Chile.
  • Mihoc M; Institute of Ecology and Biodiversity Facultad de Ciencias Universidad de Chile Macul, Santiago de Chile Chile.
  • Salazar E; Genetic Resources Unit and Germplasm Bank La Platina Research Station Instituto de Investigaciones Agropecuarias La Pintana Santiago Chile.
  • Chacón G; Computer Sciences Laboratory La Platina Research Station Instituto de Investigaciones Agropecuarias La Pintana Santiago Chile.
  • Navarrete H; Molecular Fruit Phytopathology Laboratory Facultad Ciencias Agropecuarias Universidad de Chile La Pintana Santiago Chile.
  • Rosas M; Genetic Resources Unit and Germplasm Bank Intihuasi Research Station Instituto de Investigaciones Agropecuarias Vicuña Chile.
  • Prieto H; Biotechnology Laboratory La Platina Research Station Instituto de Investigaciones Agropecuarias La Pintana Santiago Chile.
Ecol Evol ; 7(8): 2480-2488, 2017 04.
Article en En | MEDLINE | ID: mdl-28428840
A national-scale study of outcrossing potential within Chilean vascular flora was conducted using an upgraded algorithm, which adds parameters such as pollinator agents, climate, and geographic conditions. Datasets were organized and linked in a Web platform (www.flujogenico.cl), in which the development of a total outcrossing potential (TOP) predictor was formulated. The TOP predictor is the engine in the Web platform, which models the effect of a type of agricultural practice on others (coexistence calculation mode) and on the environment (biodiversity calculation mode). The scale for TOP results uses quintiles in order to define outcrossing potential between species as "very low," "low," "medium," "high," or "very high." In a coexistence analysis considering 256 species (207 genera), the 10 highest TOP values were for genera Citrus, Prunus, Trifolium, Brassica, Allium, Eucalyptus, Cucurbita, Solanum, Lollium, and Lotus. The highest TOP for species in this analysis fell at "high" potential, 4.9% of the determined values. In biodiversity mode, seven out of 256 cultivated species (2.7%) were native, and 249 (97.3%) corresponded to introduced species. The highest TOP was obtained in the genera Senecio, Calceolaria, Viola, Solanum, Poa, Alstroemeria, Valeriana, Vicia, Atriplex, and Campanula, showing "high" potential in 4.9% of the values. On the other hand, 137 genetically modified species, including the commercial and pre-commercial developments, were included and represented 100 genera. Among these, 22 genera had relatives (i.e., members of the same genus) in the native/introduced group. The genera with the highest number of native/introduced relatives ranged from one (Ipomea, Limonium, Carica, Potentilla, Lotus, Castanea, and Daucus) to 66 species (Solanum). The highest TOP was obtained when the same species were coincident in both groups, such as for Carica chilensis, Prosopis tamarugo, and Solanum tuberosum. Results are discussed from the perspective of assessing the possible impact of cultivated species on Chilean flora biodiversity. The TOP predictor (http://epc.agroinformatica.cl/) is useful in the context of environmental risk assessment.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: America do sul / Chile Idioma: En Revista: Ecol Evol Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: America do sul / Chile Idioma: En Revista: Ecol Evol Año: 2017 Tipo del documento: Article