Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars

Detalhes bibliográficos
Autor(a) principal: Neres,Dielle Carmo de Carvalho
Data de Publicação: 2019
Outros Autores: Amorim,Ricardo Santos Silva, Albuquerque,Maria Cristina de Figueiredo e, Pádua,Gilda Pizzolante de, França-Neto,José de Barros
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Seed Science
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372019000200205
Resumo: Abstract: The objective of this work was to carry out the agroclimatic zoning of the Brazilian state of Mato Grosso, in order to identify the regions with the best climatic conditions for producing seeds with high quality of early soybean cultivars. For this purpose, the average monthly temperature data from 11 conventional and 34 automated meteorological stations were used. Due to the low number of stations with data temperature available, this variable was estimated using spatial regression equations, having latitude, longitude and altitude as input variables. Regions with high or low climatic risk were defined according to the average temperatures observed in January and February. The following three categories were established: favorable (≤ 24 °C); moderately favorable (24.1 to 25 °C) and slightly favorable (≥ 25.1 °C). For the material confection, map usage, and geographical data compilation, the inverse distance squared weighted interpolation method was applied. The ArcGIS system was employed to compose the thematic map, in which the best areas for producing seeds of early soybean cultivar were marked. Most of the Southeastern, and Western regions of Mato Grosso were considered to be favorable for producing high quality seeds of early soybean cultivars (average temperature ≤ 24 °C).
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spelling Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivarsGlycine maxtemperaturealtitudeArcGISAbstract: The objective of this work was to carry out the agroclimatic zoning of the Brazilian state of Mato Grosso, in order to identify the regions with the best climatic conditions for producing seeds with high quality of early soybean cultivars. For this purpose, the average monthly temperature data from 11 conventional and 34 automated meteorological stations were used. Due to the low number of stations with data temperature available, this variable was estimated using spatial regression equations, having latitude, longitude and altitude as input variables. Regions with high or low climatic risk were defined according to the average temperatures observed in January and February. The following three categories were established: favorable (≤ 24 °C); moderately favorable (24.1 to 25 °C) and slightly favorable (≥ 25.1 °C). For the material confection, map usage, and geographical data compilation, the inverse distance squared weighted interpolation method was applied. The ArcGIS system was employed to compose the thematic map, in which the best areas for producing seeds of early soybean cultivar were marked. Most of the Southeastern, and Western regions of Mato Grosso were considered to be favorable for producing high quality seeds of early soybean cultivars (average temperature ≤ 24 °C).ABRATES - Associação Brasileira de Tecnologia de Sementes2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372019000200205Journal of Seed Science v.41 n.2 2019reponame:Journal of Seed Scienceinstname:Associação Brasileira de Tecnologia de Sementes (ABRATES)instacron:ABRATES10.1590/2317-1545v41n2214510info:eu-repo/semantics/openAccessNeres,Dielle Carmo de CarvalhoAmorim,Ricardo Santos SilvaAlbuquerque,Maria Cristina de Figueiredo ePádua,Gilda Pizzolante deFrança-Neto,José de Barroseng2019-06-27T00:00:00Zoai:scielo:S2317-15372019000200205Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2317-1537&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||abrates@abrates.org.br2317-15452317-1537opendoar:2019-06-27T00:00Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES)false
dc.title.none.fl_str_mv Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
title Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
spellingShingle Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
Neres,Dielle Carmo de Carvalho
Glycine max
temperature
altitude
ArcGIS
title_short Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
title_full Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
title_fullStr Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
title_full_unstemmed Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
title_sort Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
author Neres,Dielle Carmo de Carvalho
author_facet Neres,Dielle Carmo de Carvalho
Amorim,Ricardo Santos Silva
Albuquerque,Maria Cristina de Figueiredo e
Pádua,Gilda Pizzolante de
França-Neto,José de Barros
author_role author
author2 Amorim,Ricardo Santos Silva
Albuquerque,Maria Cristina de Figueiredo e
Pádua,Gilda Pizzolante de
França-Neto,José de Barros
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Neres,Dielle Carmo de Carvalho
Amorim,Ricardo Santos Silva
Albuquerque,Maria Cristina de Figueiredo e
Pádua,Gilda Pizzolante de
França-Neto,José de Barros
dc.subject.por.fl_str_mv Glycine max
temperature
altitude
ArcGIS
topic Glycine max
temperature
altitude
ArcGIS
description Abstract: The objective of this work was to carry out the agroclimatic zoning of the Brazilian state of Mato Grosso, in order to identify the regions with the best climatic conditions for producing seeds with high quality of early soybean cultivars. For this purpose, the average monthly temperature data from 11 conventional and 34 automated meteorological stations were used. Due to the low number of stations with data temperature available, this variable was estimated using spatial regression equations, having latitude, longitude and altitude as input variables. Regions with high or low climatic risk were defined according to the average temperatures observed in January and February. The following three categories were established: favorable (≤ 24 °C); moderately favorable (24.1 to 25 °C) and slightly favorable (≥ 25.1 °C). For the material confection, map usage, and geographical data compilation, the inverse distance squared weighted interpolation method was applied. The ArcGIS system was employed to compose the thematic map, in which the best areas for producing seeds of early soybean cultivar were marked. Most of the Southeastern, and Western regions of Mato Grosso were considered to be favorable for producing high quality seeds of early soybean cultivars (average temperature ≤ 24 °C).
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/2317-1545v41n2214510
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dc.publisher.none.fl_str_mv ABRATES - Associação Brasileira de Tecnologia de Sementes
publisher.none.fl_str_mv ABRATES - Associação Brasileira de Tecnologia de Sementes
dc.source.none.fl_str_mv Journal of Seed Science v.41 n.2 2019
reponame:Journal of Seed Science
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