Observed and estimated leaf appearance of landrace and improved maize cultivars

dataset

posted on 2017-12-20, 02:47 authored by Josana Andreia Langner, Nereu Augusto Streck, Angelica Durigon, Stefanía Dalmolin da Silva, Isabel Lago, Genei Antonio Dalmago, Lia Rejane Silveira Reiniger, Lúcio Gabriel Scheffel, Anderson Haas Poersch

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.