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Distribution and Climatic Adaptation of Wild Tomato (Solanum lycopersicum L.) Populations in Mexico.
Ramírez-Ojeda, Gabriela; Rodríguez-Pérez, Juan Enrique; Rodríguez-Guzmán, Eduardo; Sahagún-Castellanos, Jaime; Chávez-Servia, José Luis; Peralta, Iris E; Barrera-Guzmán, Luis Ángel.
Afiliação
  • Ramírez-Ojeda G; Campo Experimental Centro Altos de Jalisco, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP), Tepatitlán de Morelos 47600, Mexico.
  • Rodríguez-Pérez JE; Departamento de Fitotecnia, Universidad Autónoma Chapingo (UACh), Chapingo 56230, Mexico.
  • Rodríguez-Guzmán E; Centro Universitario de Ciencias Biológicas y Agropecuarias, Universidad de Guadalajara (UdG), Zapopan 45200, Mexico.
  • Sahagún-Castellanos J; Departamento de Fitotecnia, Universidad Autónoma Chapingo (UACh), Chapingo 56230, Mexico.
  • Chávez-Servia JL; CIIDIR-Oaxaca, Instituto Politécnico Nacional (IPN), Santa Cruz Xoxocotlán, Oaxaca 71230, Mexico.
  • Peralta IE; Facultad de Ciencias Agrarias, Universidad Nacional del Cuyo (UNCUYO), Mendoza M5502JMA, Argentina.
  • Barrera-Guzmán LÁ; Centro Científico Tecnológico CONICET, Instituto Argentino de Investigaciones de las Zonas Áridas, Mendoza C1425FQB, Argentina.
Plants (Basel) ; 11(15)2022 Aug 01.
Article em En | MEDLINE | ID: mdl-35956486
ABSTRACT
Tomato (Solanum lycopersicum L.) is a vegetable with worldwide importance. Its wild or close related species are reservoirs of genes with potential use for the generation of varieties tolerant or resistant to specific biotic and abiotic factors. The objective was to determine the geographic distribution, ecological descriptors, and patterns of diversity and adaptation of 1296 accessions of native tomato from Mexico. An environmental information system was created with 21 climatic variables with a 1 km2 spatial resolution. Using multivariate techniques (Principal Component Analysis, PCA; Cluster Analysis, CA) and Geographic Information Systems (GIS), the most relevant variables for accession distribution were identified, as well as the groups formed according to the environmental similarity among these. PCA determined that with the first three PCs (Principal Components), it is possible to explain 84.1% of the total variation. The most relevant information corresponded to seasonal variables of temperature and precipitation. CA revealed five statistically significant clusters. Ecological descriptors were determined and described by classifying accessions in Physiographic Provinces. Temperate climates were the most frequent among tomato accessions. Finally, the potential distribution was determined with the Maxent model with 10 replicates by cross-validation, identifying areas with a high probability of tomato presence. These results constitute a reliable source of useful information for planning accession sites collection and identifying accessions that are vulnerable or susceptible to conservation programs.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article