Seeding rate in soybean according to the soil apparent electrical conductivity

Detalhes bibliográficos
Autor(a) principal: MOURA,SUZANY S.
Data de Publicação: 2020
Outros Autores: FRANÇA,LUIZ T., PEREIRA,VITOR S., TEODORO,PAULO EDUARDO, BAIO,FÁBIO H.R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201041
Resumo: Abstract This work aimed to study different seeding rates in soybean, at management zones determined by the mapping of the soil apparent electrical conductivity (ECa) and its relationships with plant phenology and grain yield (GY). The experiment consisted of a completely randomized design, with six replications. The plant population ranged between 311,000, 360,000, and 422,000 plants ha-1, and the fixed population (360,000 plants ha-1). The management zone with the least yield potential, received the highest seed population. The management zone with the highest plant vigor potential, received the lowest seed population. The variables plant height, Normalized Difference Vegetation Index (NDVI) at 50, 66, and 92 days after emergence (DAE), one hundred-grain weight, and GY were analyzed. ECa maps can be used to decide the seed population of the soybean. The decision strategy of increasing 20% of the seed soybean population on the smaller ECa map zones, and decreasing 20% seed population on higher ECa zones was effective and resulted in similar GY, even with the negative pressure of the high resistance of penetration (RP) values in some zones. GY map variability was influenced by ECa 0-0.2 m, by NDVI at 92 DAE and by RP 0.4-0.6 m soil layer.
id ABC-1_bbc7089d1fc31e7c6f33cff3ac1b1e10
oai_identifier_str oai:scielo:S0001-37652020000201041
network_acronym_str ABC-1
network_name_str Anais da Academia Brasileira de Ciências (Online)
repository_id_str
spelling Seeding rate in soybean according to the soil apparent electrical conductivityseed populationprecision agriculturevegetation indexsoil mechanical resistance to penetrationAbstract This work aimed to study different seeding rates in soybean, at management zones determined by the mapping of the soil apparent electrical conductivity (ECa) and its relationships with plant phenology and grain yield (GY). The experiment consisted of a completely randomized design, with six replications. The plant population ranged between 311,000, 360,000, and 422,000 plants ha-1, and the fixed population (360,000 plants ha-1). The management zone with the least yield potential, received the highest seed population. The management zone with the highest plant vigor potential, received the lowest seed population. The variables plant height, Normalized Difference Vegetation Index (NDVI) at 50, 66, and 92 days after emergence (DAE), one hundred-grain weight, and GY were analyzed. ECa maps can be used to decide the seed population of the soybean. The decision strategy of increasing 20% of the seed soybean population on the smaller ECa map zones, and decreasing 20% seed population on higher ECa zones was effective and resulted in similar GY, even with the negative pressure of the high resistance of penetration (RP) values in some zones. GY map variability was influenced by ECa 0-0.2 m, by NDVI at 92 DAE and by RP 0.4-0.6 m soil layer.Academia Brasileira de Ciências2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201041Anais da Academia Brasileira de Ciências v.92 suppl.1 2020reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202020181112info:eu-repo/semantics/openAccessMOURA,SUZANY S.FRANÇA,LUIZ T.PEREIRA,VITOR S.TEODORO,PAULO EDUARDOBAIO,FÁBIO H.R.eng2020-07-27T00:00:00Zoai:scielo:S0001-37652020000201041Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-07-27T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Seeding rate in soybean according to the soil apparent electrical conductivity
title Seeding rate in soybean according to the soil apparent electrical conductivity
spellingShingle Seeding rate in soybean according to the soil apparent electrical conductivity
MOURA,SUZANY S.
seed population
precision agriculture
vegetation index
soil mechanical resistance to penetration
title_short Seeding rate in soybean according to the soil apparent electrical conductivity
title_full Seeding rate in soybean according to the soil apparent electrical conductivity
title_fullStr Seeding rate in soybean according to the soil apparent electrical conductivity
title_full_unstemmed Seeding rate in soybean according to the soil apparent electrical conductivity
title_sort Seeding rate in soybean according to the soil apparent electrical conductivity
author MOURA,SUZANY S.
author_facet MOURA,SUZANY S.
FRANÇA,LUIZ T.
PEREIRA,VITOR S.
TEODORO,PAULO EDUARDO
BAIO,FÁBIO H.R.
author_role author
author2 FRANÇA,LUIZ T.
PEREIRA,VITOR S.
TEODORO,PAULO EDUARDO
BAIO,FÁBIO H.R.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv MOURA,SUZANY S.
FRANÇA,LUIZ T.
PEREIRA,VITOR S.
TEODORO,PAULO EDUARDO
BAIO,FÁBIO H.R.
dc.subject.por.fl_str_mv seed population
precision agriculture
vegetation index
soil mechanical resistance to penetration
topic seed population
precision agriculture
vegetation index
soil mechanical resistance to penetration
description Abstract This work aimed to study different seeding rates in soybean, at management zones determined by the mapping of the soil apparent electrical conductivity (ECa) and its relationships with plant phenology and grain yield (GY). The experiment consisted of a completely randomized design, with six replications. The plant population ranged between 311,000, 360,000, and 422,000 plants ha-1, and the fixed population (360,000 plants ha-1). The management zone with the least yield potential, received the highest seed population. The management zone with the highest plant vigor potential, received the lowest seed population. The variables plant height, Normalized Difference Vegetation Index (NDVI) at 50, 66, and 92 days after emergence (DAE), one hundred-grain weight, and GY were analyzed. ECa maps can be used to decide the seed population of the soybean. The decision strategy of increasing 20% of the seed soybean population on the smaller ECa map zones, and decreasing 20% seed population on higher ECa zones was effective and resulted in similar GY, even with the negative pressure of the high resistance of penetration (RP) values in some zones. GY map variability was influenced by ECa 0-0.2 m, by NDVI at 92 DAE and by RP 0.4-0.6 m soil layer.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S0001-37652020000201041
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201041
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202020181112
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 Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.92 suppl.1 2020
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
instacron_str ABC
institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
_version_ 1754302868592001024