Correlations and path analysis in agronomic traits of soybeans under defoliation
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/48220 |
Resumo: | Stress events or leaf damage can alter the redistribution of photoassimilates and modify the morphological traits directly related to grain yield. This study aimed to evaluate the influence of agronomic traits on grain yield in soybean crop in function of leaf defoliation. The experiment consisted of a randomized block design with three replications, arranged in a 6 x 3 + 1 factorial scheme. The factors were composed by six reprodutive stages (R1, R2, R3, R4, R5, and R6) and three defoliation levels (33%, 66%, and 99%), and one additional treatment without defoliation (control). The following traits were evaluated: plant height, number of pods per plant, number of grains per pod, thousand grain weight, and grain yield. The magnitudes of the correlations between the same traits showed high oscillation according to the defoliation level. Results revealed the potential for the indirect selection for grain yield by the traits plant height and number of grains per pods under 0% of defoliation and by the trait number of pods per plant under 33% of defoliation. |
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Correlations and path analysis in agronomic traits of soybeans under defoliationCorrelações e análise de trilha em caracteres agronômicos de soja sob desfolhaStress.Glycine max (L.) Merrill.Damage levelIndirect selection.Agricultural SciencesEstresse.Glycine max (L.) Merrill.Nível de dano.Seleção indireta. Stress events or leaf damage can alter the redistribution of photoassimilates and modify the morphological traits directly related to grain yield. This study aimed to evaluate the influence of agronomic traits on grain yield in soybean crop in function of leaf defoliation. The experiment consisted of a randomized block design with three replications, arranged in a 6 x 3 + 1 factorial scheme. The factors were composed by six reprodutive stages (R1, R2, R3, R4, R5, and R6) and three defoliation levels (33%, 66%, and 99%), and one additional treatment without defoliation (control). The following traits were evaluated: plant height, number of pods per plant, number of grains per pod, thousand grain weight, and grain yield. The magnitudes of the correlations between the same traits showed high oscillation according to the defoliation level. Results revealed the potential for the indirect selection for grain yield by the traits plant height and number of grains per pods under 0% of defoliation and by the trait number of pods per plant under 33% of defoliation.Ocorrências de estresse ou danos foliares podem levar a alteração na redistribuição de fotoassimilados e modificar os caracteres morfológicos envolvidos diretamente na produtividade dos grãos. Portanto, objetivou-se avaliar por meio da análise de trilha, a influência de caracteres agronômicos na produtividade de grãos na cultura da soja em função de níveis desfolha da planta. O delineamento experimental utilizado foi o de blocos casualizados com três repetições, dispostos em esquema fatorial 6 x 3 + 1. O primeiro fator foi composto por seis estádios reprodutivos de desfolha (R1, R2, R3, R4, R5, R6) x três níveis de desfolha (33%, 66%, 99%) e um tratamento adicional sem desfolha (controle). Os caracteres avaliados foram: altura de plantas, número de legumes por planta, número de grãos por legume, peso de mil grãos e produtividade de grãos. As magnitudes das correlações entre os mesmos caracteres apresentaram alta oscilação de acordo com o nível de desfolha, sendo que, que existe potencial da seleção indireta para produtividade de grãos por meio da altura de plantas e número de grãos por legumes sob 0% desfolha e do número de legumes por planta sob 33% de desfolha.EDUFU2020-08-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/4822010.14393/BJ-v36n5a2020-48220Bioscience Journal ; Vol. 36 No. 5 (2020): Sept./Oct.; 1629-1637Bioscience Journal ; v. 36 n. 5 (2020): Sept./Oct.; 1629-16371981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/48220/29622Brazil; ContemporaryCopyright (c) 2020 Alan Mario Zuffo, Francisco de Alcântara Neto, Tiago Zoz, Rafael Felippe Ratke, Jorge González Aguilera, Paulo Eduardo Teodorohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessZuffo, Alan MarioAlcântara Neto, Francisco deZoz, TiagoRatke, Rafael FelippeAguilera, Jorge GonzálezTeodoro, Paulo Eduardo2022-06-10T13:42:45Zoai:ojs.www.seer.ufu.br:article/48220Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-06-10T13:42:45Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Correlations and path analysis in agronomic traits of soybeans under defoliation Correlações e análise de trilha em caracteres agronômicos de soja sob desfolha |
title |
Correlations and path analysis in agronomic traits of soybeans under defoliation |
spellingShingle |
Correlations and path analysis in agronomic traits of soybeans under defoliation Zuffo, Alan Mario Stress. Glycine max (L.) Merrill. Damage level Indirect selection. Agricultural Sciences Estresse. Glycine max (L.) Merrill. Nível de dano. Seleção indireta. |
title_short |
Correlations and path analysis in agronomic traits of soybeans under defoliation |
title_full |
Correlations and path analysis in agronomic traits of soybeans under defoliation |
title_fullStr |
Correlations and path analysis in agronomic traits of soybeans under defoliation |
title_full_unstemmed |
Correlations and path analysis in agronomic traits of soybeans under defoliation |
title_sort |
Correlations and path analysis in agronomic traits of soybeans under defoliation |
author |
Zuffo, Alan Mario |
author_facet |
Zuffo, Alan Mario Alcântara Neto, Francisco de Zoz, Tiago Ratke, Rafael Felippe Aguilera, Jorge González Teodoro, Paulo Eduardo |
author_role |
author |
author2 |
Alcântara Neto, Francisco de Zoz, Tiago Ratke, Rafael Felippe Aguilera, Jorge González Teodoro, Paulo Eduardo |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Zuffo, Alan Mario Alcântara Neto, Francisco de Zoz, Tiago Ratke, Rafael Felippe Aguilera, Jorge González Teodoro, Paulo Eduardo |
dc.subject.por.fl_str_mv |
Stress. Glycine max (L.) Merrill. Damage level Indirect selection. Agricultural Sciences Estresse. Glycine max (L.) Merrill. Nível de dano. Seleção indireta. |
topic |
Stress. Glycine max (L.) Merrill. Damage level Indirect selection. Agricultural Sciences Estresse. Glycine max (L.) Merrill. Nível de dano. Seleção indireta. |
description |
Stress events or leaf damage can alter the redistribution of photoassimilates and modify the morphological traits directly related to grain yield. This study aimed to evaluate the influence of agronomic traits on grain yield in soybean crop in function of leaf defoliation. The experiment consisted of a randomized block design with three replications, arranged in a 6 x 3 + 1 factorial scheme. The factors were composed by six reprodutive stages (R1, R2, R3, R4, R5, and R6) and three defoliation levels (33%, 66%, and 99%), and one additional treatment without defoliation (control). The following traits were evaluated: plant height, number of pods per plant, number of grains per pod, thousand grain weight, and grain yield. The magnitudes of the correlations between the same traits showed high oscillation according to the defoliation level. Results revealed the potential for the indirect selection for grain yield by the traits plant height and number of grains per pods under 0% of defoliation and by the trait number of pods per plant under 33% of defoliation. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-13 |
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://seer.ufu.br/index.php/biosciencejournal/article/view/48220 10.14393/BJ-v36n5a2020-48220 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/48220 |
identifier_str_mv |
10.14393/BJ-v36n5a2020-48220 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/48220/29622 |
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.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 36 No. 5 (2020): Sept./Oct.; 1629-1637 Bioscience Journal ; v. 36 n. 5 (2020): Sept./Oct.; 1629-1637 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
_version_ |
1797069081892880384 |