1991
DOI: 10.2135/cropsci1991.0011183x003100060034x
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Populations Structuring of Near Infrared Spectra and Modified Partial Least Squares Regression

Abstract: The computer programs CENTER and SELECT have been presented as a way to establish population boundaries and choose samples for near infrared calibrations. This study was conducted to evaluate calibrations derived on samples chosen by CENTER and SELECT from broad groups of hay, haylage, corn (Zea mays L.), wheat (Triticnm aestivum L.), and barley (Hordeum vulgare L.) samples. Population boundaries were established with a maximum standardized H distance from the average spectrum of 3.0. Every fifth sample was re… Show more

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Cited by 414 publications
(317 citation statements)
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“…Samples were considered to be well-represented by prediction equation calibration sets if global and neighborhood distances (GD and ND) calculated for each sample were ≤3 and ≤1.2, respectively, for individual constituents [32]. Samples that exceeded these limits for a constituent were considered outliers relative to the calibration dataset and predicted values for those constituents were excluded from comparisons of experimental treatments and calculations of TEY and TEP.…”
Section: Biomass Preparation and Nirs Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Samples were considered to be well-represented by prediction equation calibration sets if global and neighborhood distances (GD and ND) calculated for each sample were ≤3 and ≤1.2, respectively, for individual constituents [32]. Samples that exceeded these limits for a constituent were considered outliers relative to the calibration dataset and predicted values for those constituents were excluded from comparisons of experimental treatments and calculations of TEY and TEP.…”
Section: Biomass Preparation and Nirs Analysismentioning
confidence: 99%
“…Biomass samples for prediction equation development are selected to represent the range of spectral, cultural, and compositional characteristics, such as maturity and crop management, in the population of interest [32,35]. Calibration sets of paired spectra and reference wet chemical data are used with chemometrics software to develop prediction equations for rapid, cost-effective analysis of biomass constituents [35,38].…”
Section: Introductionmentioning
confidence: 99%
“…The mathematical treatments using in the 2, 8, 6, 1 (the first number is the second derivative of log 1/R, the second number is the gap in data points over which the derivative was calculated, the third and fourth denote the number of average data points that are curved to smooth spectrum) (Shenk and Westerhaus, 1991). The "SNV-D" (Standard Normal Variate and Detrend) was implemented for scatter correction (Shenk and Westehaus, 1991). And the wavelengths at every 2 nm across the entire visible (408~1092 nm) plus near infrared (1108~2492 nm) spectrum were used for calibrations.…”
Section: Calibration and Validationmentioning
confidence: 99%
“…Sample processing and chemical analysis DM, alkanes, N and AA were determined in feed and refusals, faeces and digesta samples as described elsewhere (Mayes et al, 1986;Shenk and Westerhaus, 1991;Bermingham et al, 2001 and2006).…”
Section: Treatment and Parasitologymentioning
confidence: 99%