Data/hora: 02/06/2024 19:17:30

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	
Fonte: 	info:eu-repo/semantics/openAccess