COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS

Detalhes bibliográficos
Autor(a) principal: Oliveira,Job T. de
Data de Publicação: 2022
Outros Autores: Oliveira,Rubens A. de, Cunha,Fernando F. da, Silva,Priscilla A., Teodoro,Paulo E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000500206
Resumo: ABSTRACT Peanut (Arachis hypogaea L.) is a legume belonging to the Fabaceae family, whose production aims at high pod yields and quality. This study aimed to investigate peanut physical traits and point out their relationship with total pod mass. Therefore, we evaluated total pod mass and the pod physical components: grain mass, pod shell mass, pod length, greatest and smallest transverse pod diameters, number of grains per pod, pod area, pod perimeter, and fruit volume. Initially, these morphological variables were correlated by Pearson’s coefficient, and a correlation network was used to graphically express the obtained results. Path analysis identified that pod total mass has a cause-and-effect relationship with the variables number of grains per pod, grain mass, and pod shell mass. As a result, these variables can be used in indirect selection for higher crop yields; therefore, monitoring pod total mass before harvest is a strategy to predict the final yield of peanuts.
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spelling COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICSPath analysislegumeproductionArachis hypogaea L.ABSTRACT Peanut (Arachis hypogaea L.) is a legume belonging to the Fabaceae family, whose production aims at high pod yields and quality. This study aimed to investigate peanut physical traits and point out their relationship with total pod mass. Therefore, we evaluated total pod mass and the pod physical components: grain mass, pod shell mass, pod length, greatest and smallest transverse pod diameters, number of grains per pod, pod area, pod perimeter, and fruit volume. Initially, these morphological variables were correlated by Pearson’s coefficient, and a correlation network was used to graphically express the obtained results. Path analysis identified that pod total mass has a cause-and-effect relationship with the variables number of grains per pod, grain mass, and pod shell mass. As a result, these variables can be used in indirect selection for higher crop yields; therefore, monitoring pod total mass before harvest is a strategy to predict the final yield of peanuts.Associação Brasileira de Engenharia Agrícola2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000500206Engenharia Agrícola v.42 n.5 2022reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v42n5e20220018/2022info:eu-repo/semantics/openAccessOliveira,Job T. deOliveira,Rubens A. deCunha,Fernando F. daSilva,Priscilla A.Teodoro,Paulo E.eng2022-11-04T00:00:00Zoai:scielo:S0100-69162022000500206Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2022-11-04T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS
title COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS
spellingShingle COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS
Oliveira,Job T. de
Path analysis
legume
production
Arachis hypogaea L.
title_short COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS
title_full COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS
title_fullStr COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS
title_full_unstemmed COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS
title_sort COMMERCIAL CLASSIFICATION OF PEANUTS BASED ON POD PHYSICAL CHARACTERISTICS
author Oliveira,Job T. de
author_facet Oliveira,Job T. de
Oliveira,Rubens A. de
Cunha,Fernando F. da
Silva,Priscilla A.
Teodoro,Paulo E.
author_role author
author2 Oliveira,Rubens A. de
Cunha,Fernando F. da
Silva,Priscilla A.
Teodoro,Paulo E.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Oliveira,Job T. de
Oliveira,Rubens A. de
Cunha,Fernando F. da
Silva,Priscilla A.
Teodoro,Paulo E.
dc.subject.por.fl_str_mv Path analysis
legume
production
Arachis hypogaea L.
topic Path analysis
legume
production
Arachis hypogaea L.
description ABSTRACT Peanut (Arachis hypogaea L.) is a legume belonging to the Fabaceae family, whose production aims at high pod yields and quality. This study aimed to investigate peanut physical traits and point out their relationship with total pod mass. Therefore, we evaluated total pod mass and the pod physical components: grain mass, pod shell mass, pod length, greatest and smallest transverse pod diameters, number of grains per pod, pod area, pod perimeter, and fruit volume. Initially, these morphological variables were correlated by Pearson’s coefficient, and a correlation network was used to graphically express the obtained results. Path analysis identified that pod total mass has a cause-and-effect relationship with the variables number of grains per pod, grain mass, and pod shell mass. As a result, these variables can be used in indirect selection for higher crop yields; therefore, monitoring pod total mass before harvest is a strategy to predict the final yield of peanuts.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S0100-69162022000500206
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000500206
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-eng.agric.v42n5e20220018/2022
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 Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.42 n.5 2022
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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