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Provedor de dados:  Ciência Rural
País:  Brazil
Título:  Observed and estimated leaf appearance of landrace and improved maize cultivars
Autores:  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
Data:  2018-01-01
Ano:  2018
Palavras-chave:  Zea mays L.
Vegetative development
Air temperature
Sowing time
Model
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.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000100201
Editor:  Universidade Federal de Santa Maria
Relação:  10.1590/0103-8478cr20160775
Formato:  text/html
Fonte:  Ciência Rural v.48 n.1 2018
Direitos:  info:eu-repo/semantics/openAccess
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