Observed and estimated leaf appearance of landrace and improved maize cultivars
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000100201 |
Resumo: | ABSTRACT: The objective of this study was to compare the simulations of leaf appearance of landrace and improved maize cultivars using the CSM-CERES-Maize (linear) and the Wang and Engel models (nonlinear). The coefficients of the models were calibrated using a data set of total leaf number collected in the 11/04/2013 sowing date for the landrace varieties ‘Cinquentinha’ and ‘Bico de Ouro’ and the simple hybrid ‘AS 1573PRO’. For the ‘BRS Planalto’ variety, model coefficients were estimated with data from 12/13/2014 sowing date. Evaluation of the models was with independent data sets collected during the growing seasons of 2013/2014 (Experiment 1) and 2014/2015 (Experiment 2) in Santa Maria, RS, Brazil. Total number of leaves for both landrace and improved maize varieties was better estimated with the Wang and Engel model, with a root mean square error of 1.0 leaf, while estimations with the CSM-CERES-Maize model had a root mean square error of 1.5 leaf. |
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Ciência rural (Online) |
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Observed and estimated leaf appearance of landrace and improved maize cultivarsZea mays L.vegetative developmentair temperaturesowing timemodelABSTRACT: The objective of this study was to compare the simulations of leaf appearance of landrace and improved maize cultivars using the CSM-CERES-Maize (linear) and the Wang and Engel models (nonlinear). The coefficients of the models were calibrated using a data set of total leaf number collected in the 11/04/2013 sowing date for the landrace varieties ‘Cinquentinha’ and ‘Bico de Ouro’ and the simple hybrid ‘AS 1573PRO’. For the ‘BRS Planalto’ variety, model coefficients were estimated with data from 12/13/2014 sowing date. Evaluation of the models was with independent data sets collected during the growing seasons of 2013/2014 (Experiment 1) and 2014/2015 (Experiment 2) in Santa Maria, RS, Brazil. Total number of leaves for both landrace and improved maize varieties was better estimated with the Wang and Engel model, with a root mean square error of 1.0 leaf, while estimations with the CSM-CERES-Maize model had a root mean square error of 1.5 leaf.Universidade Federal de Santa Maria2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000100201Ciência Rural v.48 n.1 2018reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20160775info:eu-repo/semantics/openAccessLangner,Josana AndreiaStreck,Nereu AugustoDurigon,AngelicaSilva,Stefanía Dalmolin daLago,IsabelDalmago,Genei AntonioReiniger,Lia Rejane SilveiraScheffel,Lúcio GabrielPoersch,Anderson Haaseng2018-01-19T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Observed and estimated leaf appearance of landrace and improved maize cultivars |
title |
Observed and estimated leaf appearance of landrace and improved maize cultivars |
spellingShingle |
Observed and estimated leaf appearance of landrace and improved maize cultivars Langner,Josana Andreia Zea mays L. vegetative development air temperature sowing time model |
title_short |
Observed and estimated leaf appearance of landrace and improved maize cultivars |
title_full |
Observed and estimated leaf appearance of landrace and improved maize cultivars |
title_fullStr |
Observed and estimated leaf appearance of landrace and improved maize cultivars |
title_full_unstemmed |
Observed and estimated leaf appearance of landrace and improved maize cultivars |
title_sort |
Observed and estimated leaf appearance of landrace and improved maize cultivars |
author |
Langner,Josana Andreia |
author_facet |
Langner,Josana Andreia Streck,Nereu Augusto Durigon,Angelica Silva,Stefanía Dalmolin da Lago,Isabel Dalmago,Genei Antonio Reiniger,Lia Rejane Silveira Scheffel,Lúcio Gabriel Poersch,Anderson Haas |
author_role |
author |
author2 |
Streck,Nereu Augusto Durigon,Angelica Silva,Stefanía Dalmolin da Lago,Isabel Dalmago,Genei Antonio Reiniger,Lia Rejane Silveira Scheffel,Lúcio Gabriel Poersch,Anderson Haas |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Langner,Josana Andreia Streck,Nereu Augusto Durigon,Angelica Silva,Stefanía Dalmolin da Lago,Isabel Dalmago,Genei Antonio Reiniger,Lia Rejane Silveira Scheffel,Lúcio Gabriel Poersch,Anderson Haas |
dc.subject.por.fl_str_mv |
Zea mays L. vegetative development air temperature sowing time model |
topic |
Zea mays L. vegetative development air temperature sowing time model |
description |
ABSTRACT: The objective of this study was to compare the simulations of leaf appearance of landrace and improved maize cultivars using the CSM-CERES-Maize (linear) and the Wang and Engel models (nonlinear). The coefficients of the models were calibrated using a data set of total leaf number collected in the 11/04/2013 sowing date for the landrace varieties ‘Cinquentinha’ and ‘Bico de Ouro’ and the simple hybrid ‘AS 1573PRO’. For the ‘BRS Planalto’ variety, model coefficients were estimated with data from 12/13/2014 sowing date. Evaluation of the models was with independent data sets collected during the growing seasons of 2013/2014 (Experiment 1) and 2014/2015 (Experiment 2) in Santa Maria, RS, Brazil. Total number of leaves for both landrace and improved maize varieties was better estimated with the Wang and Engel model, with a root mean square error of 1.0 leaf, while estimations with the CSM-CERES-Maize model had a root mean square error of 1.5 leaf. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 |
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=S0103-84782018000100201 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000100201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20160775 |
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 |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Rural v.48 n.1 2018 reponame:Ciência Rural instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Rural |
collection |
Ciência Rural |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140552114241536 |