PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION

Detalhes bibliográficos
Autor(a) principal: da Rosa Sarturi, Marlon Vinicius
Data de Publicação: 2022
Outros Autores: Menegassi Bianchi Teixeira, Cleusa Adriane, Carvalho, Ivan Ricardo, Demari, Gustavo Henrique, Vieira Loro, Murilo, Pradebon, Leonardo Cesar, Donadel Port, Eduarda
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Agricultura Neotropical
Texto Completo: https://periodicosonline.uems.br/index.php/agrineo/article/view/7070
Resumo: This study aimed to evidence the best arrangement of plants according to altitudes to potentialize corn grain yield. An information survey was performed in the 2019/20 harvest, using 144 producers responsible for corn grain production fields totaling 2,301.3 hectares in 144 environments of Rio Grande do Sul. Within 144 environments, 14 corn hybrids were arranged: DKB 240 PRO, DOW 2A620, AG 9045 PRO3, AS1555 PRO3, AS1572 PRO2, AS1656, BIOGENE 7046, DKB 250 PRO2, DKB 290 PRO3, DKB 330RR, NS56, P1630HX, P30F53HX, and SH7910. Yield, morphological, and phenological variables were measured, and geographic and meteorological information was collected. There is a positive influence on grain yield according to altitude and plant population characteristics. At lower altitudes, increasing plant population is essential to enhance grain yield.
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spelling PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATIONPrevisão da produtividade de grãos de milho em função da altitude e da população de plantasZea maysGeographic variablesprincipal componentslinear associationZea maysVariáveis geográficasComponentes principaisAssociação linearThis study aimed to evidence the best arrangement of plants according to altitudes to potentialize corn grain yield. An information survey was performed in the 2019/20 harvest, using 144 producers responsible for corn grain production fields totaling 2,301.3 hectares in 144 environments of Rio Grande do Sul. Within 144 environments, 14 corn hybrids were arranged: DKB 240 PRO, DOW 2A620, AG 9045 PRO3, AS1555 PRO3, AS1572 PRO2, AS1656, BIOGENE 7046, DKB 250 PRO2, DKB 290 PRO3, DKB 330RR, NS56, P1630HX, P30F53HX, and SH7910. Yield, morphological, and phenological variables were measured, and geographic and meteorological information was collected. There is a positive influence on grain yield according to altitude and plant population characteristics. At lower altitudes, increasing plant population is essential to enhance grain yield.O objetivo deste trabalho foi evidenciar o melhor arranjo de plantas em função das altitudes para potencializar a produtividade de grãos de milho. Foi realizado um levantamento de informações na safra 2019/20, utilizando 144 produtores, responsáveis pelos campos de produção de grãos de milho, que totalizaram 2,301.3 hectares, em 144 ambientes do Rio Grande do Sul. Dentro de 144 ambientes, foram dispostos 14 híbridos de milho, os quais: DKB 240 PRO, DOW 2A620, AG 9045 PRO3, AS1555 PRO3, AS1572 PRO2, AS1656, BIOGENE 7046, DKB 250 PRO2, DKB 290 PRO3, DKB 330RR, NS56, P1630HX, P30F53HX e SH7910. Variáveis produtivas, morfológicas e fenológicas foram mensuradas, bem como informações geográficas e meteorológicas coletadas. Há uma influência positiva da produtividade de grãos em função da altitude e das características da população de plantas. Em altitudes mais baixas, o aumento da população de plantas é essencial para aumentar o rendimento de grãos de milho.Universidade Estadual de Mato Grosso do Sul, Unidade Universitária de Cassilândia2022-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicosonline.uems.br/index.php/agrineo/article/view/707010.32404/rean.v9i4.7070Revista de Agricultura Neotropical; v. 9 n. 4 (2022): REVISTA DE AGRICULTURA NEOTROPICAL; e7070REVISTA DE AGRICULTURA NEOTROPICAL; Vol. 9 No. 4 (2022): REVISTA DE AGRICULTURA NEOTROPICAL; e70702358-6303reponame:Revista de Agricultura Neotropicalinstname:Universidade Estadual de Mato Grosso do Sul (UEMS)instacron:UEMSenghttps://periodicosonline.uems.br/index.php/agrineo/article/view/7070/5271https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessda Rosa Sarturi, Marlon Vinicius Menegassi Bianchi Teixeira, Cleusa AdrianeCarvalho, Ivan RicardoDemari, Gustavo Henrique Vieira Loro, Murilo Pradebon, Leonardo CesarDonadel Port, Eduarda2023-01-18T22:13:39Zoai:ojs.pkp.sfu.ca:article/7070Revistahttps://periodicosonline.uems.br/index.php/agrineoPUBhttps://periodicosonline.uems.br/index.php/agrineo/oaiagriculturaneotropical@uems.br || wellingthon.junnyor@uems.br2358-63032358-6303opendoar:2023-01-18T22:13:39Revista de Agricultura Neotropical - Universidade Estadual de Mato Grosso do Sul (UEMS)false
dc.title.none.fl_str_mv PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION
Previsão da produtividade de grãos de milho em função da altitude e da população de plantas
title PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION
spellingShingle PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION
da Rosa Sarturi, Marlon Vinicius
Zea mays
Geographic variables
principal components
linear association
Zea mays
Variáveis geográficas
Componentes principais
Associação linear
title_short PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION
title_full PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION
title_fullStr PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION
title_full_unstemmed PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION
title_sort PREDICTION OF CORN GRAIN PRODUCTIVITY AS A FUNCTION OF ALTITUDE AND PLANT POPULATION
author da Rosa Sarturi, Marlon Vinicius
author_facet da Rosa Sarturi, Marlon Vinicius
Menegassi Bianchi Teixeira, Cleusa Adriane
Carvalho, Ivan Ricardo
Demari, Gustavo Henrique
Vieira Loro, Murilo
Pradebon, Leonardo Cesar
Donadel Port, Eduarda
author_role author
author2 Menegassi Bianchi Teixeira, Cleusa Adriane
Carvalho, Ivan Ricardo
Demari, Gustavo Henrique
Vieira Loro, Murilo
Pradebon, Leonardo Cesar
Donadel Port, Eduarda
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv da Rosa Sarturi, Marlon Vinicius
Menegassi Bianchi Teixeira, Cleusa Adriane
Carvalho, Ivan Ricardo
Demari, Gustavo Henrique
Vieira Loro, Murilo
Pradebon, Leonardo Cesar
Donadel Port, Eduarda
dc.subject.por.fl_str_mv Zea mays
Geographic variables
principal components
linear association
Zea mays
Variáveis geográficas
Componentes principais
Associação linear
topic Zea mays
Geographic variables
principal components
linear association
Zea mays
Variáveis geográficas
Componentes principais
Associação linear
description This study aimed to evidence the best arrangement of plants according to altitudes to potentialize corn grain yield. An information survey was performed in the 2019/20 harvest, using 144 producers responsible for corn grain production fields totaling 2,301.3 hectares in 144 environments of Rio Grande do Sul. Within 144 environments, 14 corn hybrids were arranged: DKB 240 PRO, DOW 2A620, AG 9045 PRO3, AS1555 PRO3, AS1572 PRO2, AS1656, BIOGENE 7046, DKB 250 PRO2, DKB 290 PRO3, DKB 330RR, NS56, P1630HX, P30F53HX, and SH7910. Yield, morphological, and phenological variables were measured, and geographic and meteorological information was collected. There is a positive influence on grain yield according to altitude and plant population characteristics. At lower altitudes, increasing plant population is essential to enhance grain yield.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-16
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/7070
10.32404/rean.v9i4.7070
url https://periodicosonline.uems.br/index.php/agrineo/article/view/7070
identifier_str_mv 10.32404/rean.v9i4.7070
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicosonline.uems.br/index.php/agrineo/article/view/7070/5271
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. 9 n. 4 (2022): REVISTA DE AGRICULTURA NEOTROPICAL; e7070
REVISTA DE AGRICULTURA NEOTROPICAL; Vol. 9 No. 4 (2022): REVISTA DE AGRICULTURA NEOTROPICAL; e7070
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
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