INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES

Detalhes bibliográficos
Autor(a) principal: Delino Barasuol Scarton, Victor
Data de Publicação: 2023
Outros Autores: Carvalho, Ivan Ricardo, Pradebon, Leonardo Cesar, Vieira Loro, Murilo, Alban, Aljian Antônio, Challiol, Marcio Alberto, Hinterholz Sausen, Natália, Modesto Fagundes Braga, Pedro, Sfalcin, Inaê Carolina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Agricultura Neotropical
Texto Completo: https://periodicosonline.uems.br/index.php/agrineo/article/view/7246
Resumo: This study aimed to evaluate the influence of meteorological variables and geographic factors on the selection of soybean lines concerning grain yield in Brazil and Paraguay soybean-producing regions. The study was conducted in seven different environments: Bela Vista do Norte - PY, Palotina - PR, Mangueirinha - PR, Major Vieira - SC, Três Passos - RS, Toledo – PR, and Passo Fundo - RS. The randomized block design in an incomplete factorial scheme with six soybean genotypes (G1, G2, G3, G4, G5, and G6) was used for the experiments. The harvest occurred in the first half of March, and grain yield was measured through the total harvest of the plot and expressed in kg ha-1, with grain moisture at 13%. The climatic variables used in the study were maximum air temperature (Tmax, ºC), average air temperature (Tavg, ºC), minimum air temperature (Tmin, ºC), relative air humidity (RH, %), precipitation (Prec, mm), wind speed (WS, m/s), dew point (DP, °C), incident radiation (Rad_Inc, MJ/m²), and total radiation (RAD_OL, MJ/m²); and geographic factors were altitude (ALT), longitude (LON), and latitude (LAT). The G5 genotype with a genetic value for grain yield above the general average is the most adapted to favorable environments. Altitude had the greatest influence on the biological variability of the genotypes, with a negative correlation of moderate magnitude with grain yield. Grain yield was enhanced in environments with altitudes lower than 338 m at latitudes below 24.17S.
id UEMS_3d4e69d9e2664ebf042ec53ba2161c53
oai_identifier_str oai:ojs.pkp.sfu.ca:article/7246
network_acronym_str UEMS
network_name_str Revista de Agricultura Neotropical
repository_id_str
spelling INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINESInfluência de variáveis meteorológicas e fatores geográficos na seleção de linhagens de sojaGlycine maxReaction normLinear correlationMultiple regressionGlycine maxNorma de reaçãoCorrelação linearRegressão múltiplaThis study aimed to evaluate the influence of meteorological variables and geographic factors on the selection of soybean lines concerning grain yield in Brazil and Paraguay soybean-producing regions. The study was conducted in seven different environments: Bela Vista do Norte - PY, Palotina - PR, Mangueirinha - PR, Major Vieira - SC, Três Passos - RS, Toledo – PR, and Passo Fundo - RS. The randomized block design in an incomplete factorial scheme with six soybean genotypes (G1, G2, G3, G4, G5, and G6) was used for the experiments. The harvest occurred in the first half of March, and grain yield was measured through the total harvest of the plot and expressed in kg ha-1, with grain moisture at 13%. The climatic variables used in the study were maximum air temperature (Tmax, ºC), average air temperature (Tavg, ºC), minimum air temperature (Tmin, ºC), relative air humidity (RH, %), precipitation (Prec, mm), wind speed (WS, m/s), dew point (DP, °C), incident radiation (Rad_Inc, MJ/m²), and total radiation (RAD_OL, MJ/m²); and geographic factors were altitude (ALT), longitude (LON), and latitude (LAT). The G5 genotype with a genetic value for grain yield above the general average is the most adapted to favorable environments. Altitude had the greatest influence on the biological variability of the genotypes, with a negative correlation of moderate magnitude with grain yield. Grain yield was enhanced in environments with altitudes lower than 338 m at latitudes below 24.17S.Este trabalho teve como objetivo avaliar a influência de variáveis meteorológicas e fatores geográficos na seleção de linhagens de soja em relação à produtividade de grãos em regiões de soja do Brasil e Paraguai. O estudo foi realizado em sete ambientes distintos: Bela Vista do Norte – PY, Palotina – PR, Mangueirinha – PR, Major Vieira – SC, Três Passos – RS, Toledo - PR e Passo Fundo - RS. O delineamento experimental utilizou blocos casualizados em esquema fatorial incompleto, utilizando seis genótipos de soja (G1, G2, G3, G4, G5 e G6). Na colheita da primeira quinzena de março, a produtividade de grãos foi medida através da colheita total da parcela e expressa em kg ha-1, com umidade de grãos em 13%. As variáveis meteorológicas utilizadas no presente estudo foram: temperatura máxima do ar (Tmax, ºC), temperatura média do ar (Tavg, ºC), temperatura mínima do ar (Tmin, ºC), umidade relativa (RH, %), precipitação (Prec, mm), velocidade do vento (WS, m/s), ponto de orvalho (DP, °C), radiação incidente (Rad_Inc, MJ/m²) e radiação total (RAD_OL, MJ/m²). O genótipo G5 com valor genético para produtividade de grãos acima da média geral é o mais adaptado a ambientes favoráveis. A altitude exerceu a maior influência na variabilidade biológica dos genótipos, com correlação negativa de magnitude moderada com a produtividade de grãos. A produtividade de grãos foi potencializada em ambientes com altitude inferior a 338 m em latitudes abaixo de 24.17S.Universidade Estadual de Mato Grosso do Sul, Unidade Universitária de Cassilândia2023-08-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicosonline.uems.br/index.php/agrineo/article/view/724610.32404/rean.v10i3.7246Revista de Agricultura Neotropical; v. 10 n. 3 (2023): REVISTA DE AGRICULTURA NEOTROPICAL; e7246REVISTA DE AGRICULTURA NEOTROPICAL; Vol. 10 No. 3 (2023): REVISTA DE AGRICULTURA NEOTROPICAL; e72462358-6303reponame:Revista de Agricultura Neotropicalinstname:Universidade Estadual de Mato Grosso do Sul (UEMS)instacron:UEMSenghttps://periodicosonline.uems.br/index.php/agrineo/article/view/7246/5556https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessDelino Barasuol Scarton, VictorCarvalho, Ivan RicardoPradebon, Leonardo CesarVieira Loro, MuriloAlban, Aljian AntônioChalliol, Marcio AlbertoHinterholz Sausen, Natália Modesto Fagundes Braga, PedroSfalcin, Inaê Carolina2024-03-12T12:18:23Zoai:ojs.pkp.sfu.ca:article/7246Revistahttps://periodicosonline.uems.br/index.php/agrineoPUBhttps://periodicosonline.uems.br/index.php/agrineo/oaiagriculturaneotropical@uems.br || wellingthon.junnyor@uems.br2358-63032358-6303opendoar:2024-03-12T12:18:23Revista de Agricultura Neotropical - Universidade Estadual de Mato Grosso do Sul (UEMS)false
dc.title.none.fl_str_mv INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES
Influência de variáveis meteorológicas e fatores geográficos na seleção de linhagens de soja
title INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES
spellingShingle INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES
Delino Barasuol Scarton, Victor
Glycine max
Reaction norm
Linear correlation
Multiple regression
Glycine max
Norma de reação
Correlação linear
Regressão múltipla
title_short INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES
title_full INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES
title_fullStr INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES
title_full_unstemmed INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES
title_sort INFLUENCE OF METEOROLOGICAL VARIABLES AND GEOGRAPHIC FACTORS IN THE SELECTION OF SOYBEAN LINES
author Delino Barasuol Scarton, Victor
author_facet Delino Barasuol Scarton, Victor
Carvalho, Ivan Ricardo
Pradebon, Leonardo Cesar
Vieira Loro, Murilo
Alban, Aljian Antônio
Challiol, Marcio Alberto
Hinterholz Sausen, Natália
Modesto Fagundes Braga, Pedro
Sfalcin, Inaê Carolina
author_role author
author2 Carvalho, Ivan Ricardo
Pradebon, Leonardo Cesar
Vieira Loro, Murilo
Alban, Aljian Antônio
Challiol, Marcio Alberto
Hinterholz Sausen, Natália
Modesto Fagundes Braga, Pedro
Sfalcin, Inaê Carolina
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Delino Barasuol Scarton, Victor
Carvalho, Ivan Ricardo
Pradebon, Leonardo Cesar
Vieira Loro, Murilo
Alban, Aljian Antônio
Challiol, Marcio Alberto
Hinterholz Sausen, Natália
Modesto Fagundes Braga, Pedro
Sfalcin, Inaê Carolina
dc.subject.por.fl_str_mv Glycine max
Reaction norm
Linear correlation
Multiple regression
Glycine max
Norma de reação
Correlação linear
Regressão múltipla
topic Glycine max
Reaction norm
Linear correlation
Multiple regression
Glycine max
Norma de reação
Correlação linear
Regressão múltipla
description This study aimed to evaluate the influence of meteorological variables and geographic factors on the selection of soybean lines concerning grain yield in Brazil and Paraguay soybean-producing regions. The study was conducted in seven different environments: Bela Vista do Norte - PY, Palotina - PR, Mangueirinha - PR, Major Vieira - SC, Três Passos - RS, Toledo – PR, and Passo Fundo - RS. The randomized block design in an incomplete factorial scheme with six soybean genotypes (G1, G2, G3, G4, G5, and G6) was used for the experiments. The harvest occurred in the first half of March, and grain yield was measured through the total harvest of the plot and expressed in kg ha-1, with grain moisture at 13%. The climatic variables used in the study were maximum air temperature (Tmax, ºC), average air temperature (Tavg, ºC), minimum air temperature (Tmin, ºC), relative air humidity (RH, %), precipitation (Prec, mm), wind speed (WS, m/s), dew point (DP, °C), incident radiation (Rad_Inc, MJ/m²), and total radiation (RAD_OL, MJ/m²); and geographic factors were altitude (ALT), longitude (LON), and latitude (LAT). The G5 genotype with a genetic value for grain yield above the general average is the most adapted to favorable environments. Altitude had the greatest influence on the biological variability of the genotypes, with a negative correlation of moderate magnitude with grain yield. Grain yield was enhanced in environments with altitudes lower than 338 m at latitudes below 24.17S.
publishDate 2023
dc.date.none.fl_str_mv 2023-08-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicosonline.uems.br/index.php/agrineo/article/view/7246
10.32404/rean.v10i3.7246
url https://periodicosonline.uems.br/index.php/agrineo/article/view/7246
identifier_str_mv 10.32404/rean.v10i3.7246
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicosonline.uems.br/index.php/agrineo/article/view/7246/5556
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Mato Grosso do Sul, Unidade Universitária de Cassilândia
publisher.none.fl_str_mv Universidade Estadual de Mato Grosso do Sul, Unidade Universitária de Cassilândia
dc.source.none.fl_str_mv Revista de Agricultura Neotropical; v. 10 n. 3 (2023): REVISTA DE AGRICULTURA NEOTROPICAL; e7246
REVISTA DE AGRICULTURA NEOTROPICAL; Vol. 10 No. 3 (2023): REVISTA DE AGRICULTURA NEOTROPICAL; e7246
2358-6303
reponame:Revista de Agricultura Neotropical
instname:Universidade Estadual de Mato Grosso do Sul (UEMS)
instacron:UEMS
instname_str Universidade Estadual de Mato Grosso do Sul (UEMS)
instacron_str UEMS
institution UEMS
reponame_str Revista de Agricultura Neotropical
collection Revista de Agricultura Neotropical
repository.name.fl_str_mv Revista de Agricultura Neotropical - Universidade Estadual de Mato Grosso do Sul (UEMS)
repository.mail.fl_str_mv agriculturaneotropical@uems.br || wellingthon.junnyor@uems.br
_version_ 1797051249970905088

Registros relacionados