“The gm18 and gmΔ17 estimates agree within the combined errors (P-value, 0.876)”
e2
“The gm calculations are applied to combined measurements of δ18O and Δ17O, and gas exchange in two C3 species, sunflower (Helianthus annuus L. cv. 'sunny') and ivy (Hedera hibernica L.), and the C4 species maize (Zea mays)”
“Optimization of base temperature and inclusion of an upper threshold by growth stage did not substantially decrease errors in predicting date of growth stage occurrence”
“There were no statistically significant differences in E:S between basal taxa and any derived group due to extremely large standard errors produced by GLS models”
Most standard errors of prediction in external validation from the reduced data sets were not significantly different from those from the whole data set.
“to control the technological maturity of grapes and total phenolic compounds of grape skins in red and white cultivars”
e5
“Most of the standard errors of prediction (SEP) in external validation obtained from the reduced data sets were not significantly different from those obtained using the whole data set”
Statistical testing based on the bootstrap method showed that the mean square errors (MSE) of the predicted bud-burst dates of two models, in which the start of ontogenetic development depended on dormancy development only, did not differ significantly.
“Statistical testing based on the bootstrap method showed that the mean square errors (MSE) of the predicted bud-burst dates of two models, in which the start of ontogenetic development depended on dormancy development only, did not differ significantly.”
estimates, rankings, standard errors of estimates, test efficiencies of contrasts for variety main (mean over all locations) effects, and discrimination power for varietiese0
“There were no notable differences between the two models in the estimates, rankings, standard errors of estimates, test efficiencies of contrasts for variety main (mean over all locations) effects, and discrimination power for varieties”
“The aim of this study was to calibrate and validate the AquaCrop model for maize crop in the edaphoclimatic conditions of Campos Gerais region, Paraná State, Brazil”
e3
“However, the errors were not enough to reduce the performance in the validation process for this localitie”
Jorge Luiz Moretti de Souza; Cibelle Tamiris de Oliveira; Stefanie Lais Kreutz Rosa; et al. Revista Brasileira de Meteorologia2020. doi:10.1590/0102-7786352001
“Field validation in monoculture conifer plantations in Ibaraki and Fukuoka, Japan, yielded CBH biases of 0.17 m and 0.25 m with RMSEs of 1.64 m and 1.94 m (11.2% and 12.3% of field means, respectively)”
e5
“CR estimation errors showed no systematic dependence on stand density across a wide density range (250–2800 trees/ha)”
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