“Standard errors of prediction by near infrared reflectance spectroscopy (NIRRS) in this study were of the same magnitude as those associated with conventional laboratory data”
e0
“specimens of forage grazed from widely diverse rangelands”
“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)”
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”
standard errors of prediction: 2.22 and 2.22% DMe0
Verbatim
t0
“lucerne”
e0
“The same was observed for IVDMD determination (correlation coefficients: 0.942 and 0.951; standard errors of calibration: 1.89 and 1.71% DM; standard errors of prediction: 2.22 and 2.22% DM, respectively)”
For protein determination in 345 lucerne forage samples, PCR and MLR gave quite similar results, with correlation coefficients of 0.978 (MLR) and 0.980 (PCR).
“For protein determination, results of both procedures were quite similar (correlation coefficients: 0.978 and 0.980; standard errors of calibration: 0.86 and 0.84% DM; standard errors of prediction: 0.81 and 0.80% DM respectively for MLR and PCR prediction equations)”
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