Agroclimatic zoning of the Brazilian state of Mato Grosso for the production of soybean seeds of early cultivars
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372019000200205 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372019000200205 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2317-1545v41n2214510 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 instname:Associação Brasileira de Tecnologia de Sementes (ABRATES) instacron:ABRATES |
instname_str |
Associação Brasileira de Tecnologia de Sementes (ABRATES) |
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ABRATES |
institution |
ABRATES |
reponame_str |
Journal of Seed Science |
collection |
Journal of Seed Science |
repository.name.fl_str_mv |
Journal of Seed Science - Associação Brasileira de Tecnologia de Sementes (ABRATES) |
repository.mail.fl_str_mv |
||abrates@abrates.org.br |
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1754212982878896128 |