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| Aparecido,Lucas Eduardo de Oliveira; Rolim,Glauco de Souza; Moraes,José Reinaldo da Silva Cabral de; Rocha,Hélio Gallo; Lense,Guilherme Henrique Expedito; Souza,Paulo Sergio. |
| ABSTRACT Hardier crops are needed in the arid regions of the Brazilian state of Minas Gerais, and annatto (Bixa orellana L.) is a good candidate. Producers, however, do not know if their areas are suitable for its cultivation and so are not investing in its implementation. Agroclimatic zoning would provide guidance to the producers. Identifying potential areas for the production of this crop would thus contribute to the agroclimatic zoning of B. orellana in Minas Gerais. We collected data for air temperature and precipitation from 852 meteorological stations in the state to classify regions as suitable, marginally suitable, or unsuitable for the crop. Suitable regions had an air temperature between 22 and 27 °C and precipitation between 800 and 1600... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Climatic risk; Climatic modeling; Agrometeorology; Bixa orellana L.. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000100193 |
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| Aparecido,Lucas Eduardo de Oliveira; Batista,Rafael Madureira; Moraes,José Reinaldo da Silva Cabral de; Costa,Cícero Teixeira Silva; Moraes-Oliveira,Adriana Ferreira de. |
| Abstract: The objective of this work was to elaborate the agricultural zoning of climatic risk (ZARC) for Physalis peruviana, through the thermal and water requirements of the crop in Southeastern Brazil. Air temperature (TAIR) and precipitation (PYEAR) data from 1,530 meteorological stations covering the entire region were used. Regions were considered climatically favorable to Physalis peruviana when TAIR was between 13 and 18ºC and PYEAR between 1,000 and 2,000 mm per year. Regions where TAIR was above 30ºC or less than 13ºC were considered inapt. Maps were created with this information and used to identify climatic characteristics and to establish the agricultural aptitude classes, termed apt, inapt, and marginal for the cultivation of Physalis... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Climate risk; Agrometeorology; Modeling; Big data. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000100900 |
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