Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/7793 |
Resumo: | Average tests and correlation analysis (simple, canonical and trail) allow the identification of characters correlated with grain yield. Due to the low availability of studies that report the levels of correlation between soybean plants and the spacing between rows and the demands of rural producers, the aim of this study was to identify the influence of the spacing between rows of soybean genotypes on yield levels. , through statistical methodologies of averaging test, regressions and correlations. The study was conducted under field conditions at Fazenda Quero-Quero, in the municipality of Chapadão do Céu, Goiás, Brazil. The experimental design was a randomized block with 8 treatments, corresponding to 2 soybean genotypes (Desafio and M7739), submitted to 4 spacing between lines (22.5, 45, 67.5 and 90 cm) in 4 repetitions. Eight characters were quantified to explain grain yield. The analyzes were performed using the R Core Team statistical program. The characters showed interaction between the sources of variation and significance for the main effects. Correlations were described in the canonical variables and their direct and indirect effects were measured. At the end of the work, it was concluded that the line spacing and the genetic factor alter the soybean crop yield averages, and that the yield of the challenge and M7739 soybean genotypes is correlated with the stand, plant height and vegetables with two grains. |
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Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levelsEspaciado entre filas de genotipos de soja: promedios, regresiones y correlaciones en los niveles de rendimientoEspaçamento entre linhas de genótipos de soja: médias, regressões e correlações nos níveis de rendimentoSpacing between lines; Booth; Glycine max; Production.Espaciado entre líneas; Cabina; Glycine max; Producción.Espaçamento entre linhas; Estande; Glycine max; Produção.Average tests and correlation analysis (simple, canonical and trail) allow the identification of characters correlated with grain yield. Due to the low availability of studies that report the levels of correlation between soybean plants and the spacing between rows and the demands of rural producers, the aim of this study was to identify the influence of the spacing between rows of soybean genotypes on yield levels. , through statistical methodologies of averaging test, regressions and correlations. The study was conducted under field conditions at Fazenda Quero-Quero, in the municipality of Chapadão do Céu, Goiás, Brazil. The experimental design was a randomized block with 8 treatments, corresponding to 2 soybean genotypes (Desafio and M7739), submitted to 4 spacing between lines (22.5, 45, 67.5 and 90 cm) in 4 repetitions. Eight characters were quantified to explain grain yield. The analyzes were performed using the R Core Team statistical program. The characters showed interaction between the sources of variation and significance for the main effects. Correlations were described in the canonical variables and their direct and indirect effects were measured. At the end of the work, it was concluded that the line spacing and the genetic factor alter the soybean crop yield averages, and that the yield of the challenge and M7739 soybean genotypes is correlated with the stand, plant height and vegetables with two grains.Las pruebas de promedios y el análisis de correlación (simple, canónica y de rastro) permiten identificar caracteres correlacionados con el rendimiento de grano. Debido a la baja disponibilidad de estudios que reporten los niveles de correlación entre plantas de soja y el espaciamiento entre hileras y las demandas de los productores rurales, el objetivo de este estudio fue identificar la influencia del espaciamiento entre hileras de genotipos de soja en los niveles de rendimiento. , mediante metodologías estadísticas de prueba de promedios, regresiones y correlaciones. El estudio se llevó a cabo en condiciones de campo en Fazenda Quero-Quero, en el municipio de Chapadão do Céu, Goiás, Brasil. El diseño experimental fue un bloque al azar con 8 tratamientos, correspondientes a 2 genotipos de soja (Desafio y M7739), sometidos a 4 espaciamientos entre líneas (22,5, 45, 67,5 y 90 cm) en 4 repeticiones. Se cuantificaron ocho caracteres para explicar el rendimiento de grano. Los análisis se realizaron utilizando el programa estadístico R Core Team. Los personajes mostraron interacción entre las fuentes de variación y la importancia de los efectos principales. Se describieron correlaciones en las variables canónicas y se midieron sus efectos directos e indirectos. Al final del trabajo, se concluyó que el espaciado entre líneas y el factor genético alteran los promedios de rendimiento del cultivo de soja, y que el rendimiento del desafío y los genotipos de soja M7739 se correlacionan con el rodal, altura de planta y vegetales con dos granos.Testes de média e análises de correlações (simples, canônicas e trilha) permitem a identificação de caracteres correlacionados com o rendimento de grãos. Devido à pouca disponibilidade de trabalhos que relatam os níveis de correlação de plantas de soja com os espaçamentos entre linhas e por demandas dos produtores rurais, objetivou-se com o trabalho identificar a influência do espaçamento entre linhas de genótipos de soja sobre os níveis de rendimento, através de metodologias estatísticas de teste de média, regressões e correlações. O estudo foi conduzido sob condições de campo na Fazenda Quero-Quero, no município de Chapadão do Céu, Goiás, Brasil. O delineamento experimental foi em blocos ao acaso com 8 tratamentos, correspondentes a 2 genótipos de soja (Desafio e M7739), submetidos a 4 espaçamentos entre linhas (22.5, 45, 67.5 e 90 cm) em 4 repetições. Foram quantificados 8 caracteres para explicar o rendimento de grãos. As análises foram realizadas no programa estatísticos R Core Team. Os caracteres apresentaram interação entre as fontes de variação e significância para com os efeitos principais. Correlações foram descritas nas variáveis canônicas e mensuradas seus efeitos diretos e indiretos. Ao término do trabalho, concluiu-se que o espaçamento entre linhas e o fator genético alteram as médias de rendimento da cultura de soja, e que o rendimento dos genótipos de soja desafio e M7739 está correlacionado com o estande, altura de planta e legumes com dois grãos.Research, Society and Development2020-09-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/779310.33448/rsd-v9i9.7793Research, Society and Development; Vol. 9 No. 9; e952997793Research, Society and Development; Vol. 9 Núm. 9; e952997793Research, Society and Development; v. 9 n. 9; e9529977932525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/7793/7236Copyright (c) 2020 Luiz Leonardo Ferreira; Natália Vilela Moreira; Ivan Ricardo Carvalho; Núbia Sousa Carrijo dos Santos; Marilaine de Sá Fernandes; Alexandre Igor de Azevedo Pereira; Carmen Rosa da Silva Curvêlo; Rodrigo Vieira da Silva; Uirá do Amaral; Ricardo de Andrade Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFerreira, Luiz Leonardo Moreira, Natália Vilela Carvalho, Ivan Ricardo Santos, Núbia Sousa Carrijo dos Fernandes, Marilaine de Sá Pereira, Alexandre Igor de Azevedo Curvêlo, Carmen Rosa da Silva Silva, Rodrigo Vieira da Amaral, Uirá do Silva, Ricardo de Andrade 2020-09-18T01:42:11Zoai:ojs.pkp.sfu.ca:article/7793Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:30:24.950225Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels Espaciado entre filas de genotipos de soja: promedios, regresiones y correlaciones en los niveles de rendimiento Espaçamento entre linhas de genótipos de soja: médias, regressões e correlações nos níveis de rendimento |
title |
Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels |
spellingShingle |
Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels Ferreira, Luiz Leonardo Spacing between lines; Booth; Glycine max; Production. Espaciado entre líneas; Cabina; Glycine max; Producción. Espaçamento entre linhas; Estande; Glycine max; Produção. |
title_short |
Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels |
title_full |
Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels |
title_fullStr |
Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels |
title_full_unstemmed |
Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels |
title_sort |
Spacing between rows of soybean genotypes: averages, regressions and correlations in yield levels |
author |
Ferreira, Luiz Leonardo |
author_facet |
Ferreira, Luiz Leonardo Moreira, Natália Vilela Carvalho, Ivan Ricardo Santos, Núbia Sousa Carrijo dos Fernandes, Marilaine de Sá Pereira, Alexandre Igor de Azevedo Curvêlo, Carmen Rosa da Silva Silva, Rodrigo Vieira da Amaral, Uirá do Silva, Ricardo de Andrade |
author_role |
author |
author2 |
Moreira, Natália Vilela Carvalho, Ivan Ricardo Santos, Núbia Sousa Carrijo dos Fernandes, Marilaine de Sá Pereira, Alexandre Igor de Azevedo Curvêlo, Carmen Rosa da Silva Silva, Rodrigo Vieira da Amaral, Uirá do Silva, Ricardo de Andrade |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Ferreira, Luiz Leonardo Moreira, Natália Vilela Carvalho, Ivan Ricardo Santos, Núbia Sousa Carrijo dos Fernandes, Marilaine de Sá Pereira, Alexandre Igor de Azevedo Curvêlo, Carmen Rosa da Silva Silva, Rodrigo Vieira da Amaral, Uirá do Silva, Ricardo de Andrade |
dc.subject.por.fl_str_mv |
Spacing between lines; Booth; Glycine max; Production. Espaciado entre líneas; Cabina; Glycine max; Producción. Espaçamento entre linhas; Estande; Glycine max; Produção. |
topic |
Spacing between lines; Booth; Glycine max; Production. Espaciado entre líneas; Cabina; Glycine max; Producción. Espaçamento entre linhas; Estande; Glycine max; Produção. |
description |
Average tests and correlation analysis (simple, canonical and trail) allow the identification of characters correlated with grain yield. Due to the low availability of studies that report the levels of correlation between soybean plants and the spacing between rows and the demands of rural producers, the aim of this study was to identify the influence of the spacing between rows of soybean genotypes on yield levels. , through statistical methodologies of averaging test, regressions and correlations. The study was conducted under field conditions at Fazenda Quero-Quero, in the municipality of Chapadão do Céu, Goiás, Brazil. The experimental design was a randomized block with 8 treatments, corresponding to 2 soybean genotypes (Desafio and M7739), submitted to 4 spacing between lines (22.5, 45, 67.5 and 90 cm) in 4 repetitions. Eight characters were quantified to explain grain yield. The analyzes were performed using the R Core Team statistical program. The characters showed interaction between the sources of variation and significance for the main effects. Correlations were described in the canonical variables and their direct and indirect effects were measured. At the end of the work, it was concluded that the line spacing and the genetic factor alter the soybean crop yield averages, and that the yield of the challenge and M7739 soybean genotypes is correlated with the stand, plant height and vegetables with two grains. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-14 |
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://rsdjournal.org/index.php/rsd/article/view/7793 10.33448/rsd-v9i9.7793 |
url |
https://rsdjournal.org/index.php/rsd/article/view/7793 |
identifier_str_mv |
10.33448/rsd-v9i9.7793 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/7793/7236 |
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 |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 9; e952997793 Research, Society and Development; Vol. 9 Núm. 9; e952997793 Research, Society and Development; v. 9 n. 9; e952997793 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052657672650752 |