Distribution and Climatic Adaptation of Wild Tomato (Solanum lycopersicum L.) Populations in Mexico

被引:5
|
作者
Ramirez-Ojeda, Gabriela [1 ]
Enrique Rodriguez-Perez, Juan [2 ]
Rodriguez-Guzman, Eduardo [3 ]
Sahagun-Castellanos, Jaime [2 ]
Luis Chavez-Servia, Jose [4 ]
Peralta, Iris E. [5 ,6 ]
Angel Barrera-Guzman, Luis [7 ]
机构
[1] Inst Nacl Invest Forestales Agr & Pecuarias INIFA, Campo Expt Ctr Altos Jalisco, Tepatitlan De Morelos 47600, Mexico
[2] Univ Autonoma Chapingo UACh, Dept Fitotecnia, Chapingo 56230, Mexico
[3] Univ Guadalajara UdG, Ctr Univ Ciencias Biol & Agr, Zapopan 45200, Mexico
[4] Inst Politecn Nacl IPN, CIIDIR Oaxaca, Xoxocotlan 71230, Oaxaca, Mexico
[5] Univ Nacl Cuyo UNCUYO, Fac Ciencias Agr, M5502JMA, Mendoza, Argentina
[6] Consejo Nacl Invest Cient & Tecn, Inst Argentino Invest Zonas Aridas, Ctr Cient Tecnol, C1425FQB, Mendoza, Argentina
[7] Univ Valle Puebla UVP, Coordinac Educ & Invest, Puebla 72440, Mexico
来源
PLANTS-BASEL | 2022年 / 11卷 / 15期
关键词
climatic diversity; wild tomatoes; climatic adaptation; Solanum lycopersicum; ECOLOGICAL DESCRIPTORS; R-PACKAGE; CULTIVATED TOMATO; NATIVE TOMATOES; COLLECTIONS; GERMPLASM; QUALITY; ORIGIN;
D O I
10.3390/plants11152007
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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 km(2) 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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页数:17
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