Improved Barley Near Infra-red Spectroscopy (NIRS) equation
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'A total of 700 spring barley straw samples of genotypic diversity from diverse environments in Morocco were selected and scanned using a FOSS Near Infra-red Spectroscopy (NIRS) System 5000 spectrophotometer in the 1100nm to 2498nm spectral region. Calibration equations for feed quality traits (n=344) were developed using data from NIRS spectra and wet chemistry of representative samples and tested through external validation with the samples (n=137) not included in the calibration sets. A modified partial least-squares (MPLS) regression with independent validation used to confirm the equations and identify possible spectral outliers (GH-value>3, where GH is the Global Mahalanobis distance). Values for coefficient of determination (r2), standard error of prediction SEP(C) and ratio of performance deviation (RPD) were used for validation o' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["barley","nirs","prediction equation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'A total of 700 spring barley straw samples of genotypic diversity from diverse environments in Morocco were selected and scanned using a FOSS Near Infra-red Spectroscopy (NIRS) System 5000 spectrophotometer in the 1100nm to 2498nm spectral region. Calibration equations for feed quality traits (n=344) were developed using data from NIRS spectra and wet chemistry of representative samples and tested through external validation with the samples (n=137) not included in the calibration sets. A modified partial least-squares (MPLS) regression with independent validation used to confirm the equations and identify possible spectral outliers (GH-value>3, where GH is the Global Mahalanobis distance). Values for coefficient of determination (r2), standard error of prediction SEP(C) and ratio of performance deviation (RPD) were used for validation o' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
A total of 700 spring barley straw samples of genotypic diversity from diverse environments in Morocco were selected and scanned using a FOSS Near Infra-red Spectroscopy (NIRS) System 5000 spectrophotometer in the 1100nm to 2498nm spectral region. Calibration equations for feed quality traits (n=344) were developed using data from NIRS spectra and wet chemistry of representative samples and tested through external validation with the samples (n=137) not included in the calibration sets. A modified partial least-squares (MPLS) regression with independent validation used to confirm the equations and identify possible spectral outliers (GH-value>3, where GH is the Global Mahalanobis distance). Values for coefficient of determination (r2), standard error of prediction SEP(C) and ratio of performance deviation (RPD) were used for validation o
barley; nirs; prediction equation