Near infrared reflectance spectroscopy (NIRS) was evaluated for the prediction of the protein content in samples of grassland herbage taken at different stages of maturity (flowering to fruiting stage) in ‘Dehesa’ zones of Central‐Western Spain. A Technicon Infra Alyzer model 500 scanning monochromator interfaced with a Hewlett‐Packard 1000 minicomputer was used for the study. Protein content was predicted with NIRS data treated as log I/R using six or seven wavelengths. Calibrations were evaluated by comparing Kjeldahl analyses with those predicted by NIRS. The prediction of protein was found to be acceptable, the standard error carying between 0.56 and 0.68% in a range of protein content from 6.76 to 13.98%
Shrubs are an important source of food for domestic livestock and wildlife in semiarid areas. This i...
Near infra-red reflectance spectroscopy (NIRS) was used to develop calibration equations to measure ...
Fast and precise analytical tools can contribute to optimize pasture management decisions. This work...
The potential of near‐infrared reflectance spectroscopy (NIRS) for determining the chemical composit...
Near infrared reflectance spectroscopy (NIRS) was evaluated as a method to predict the botanical com...
The objective of the study was to evaluate the potential of near infrared reflectance (NIR) spectro...
Near-infrared reflectance spectroscopy (NIRS) was used to predict the dry matter (DM) and crude prot...
Near infrared reflectance spectroscopy (NIRS) was assessed for its capacity to estimate the mineral ...
Near infrared reflectance spectroscopy (NIRS) were used to assess the chemical composition of a wide...
Pasture quality monitoring is a key element in the decision making process of the farm manager. The ...
Intensive livestock feeding requires constant monitoring of diet composition to ensure a consistent ...
A near infrared reflectance spectroscopy (NIRS) method for rapid determination of nitrogen, phosphor...
Many ecological studies rely heavily on chemical analysis of plant and animal tissues. Often, there ...
A Near Infra-Red Reflectance Spectrophotometer was calibrated to analyse Italian ryegrass for protei...
One hundred and eighteen grass silage samples with known chemical composition and in vitro determine...
Shrubs are an important source of food for domestic livestock and wildlife in semiarid areas. This i...
Near infra-red reflectance spectroscopy (NIRS) was used to develop calibration equations to measure ...
Fast and precise analytical tools can contribute to optimize pasture management decisions. This work...
The potential of near‐infrared reflectance spectroscopy (NIRS) for determining the chemical composit...
Near infrared reflectance spectroscopy (NIRS) was evaluated as a method to predict the botanical com...
The objective of the study was to evaluate the potential of near infrared reflectance (NIR) spectro...
Near-infrared reflectance spectroscopy (NIRS) was used to predict the dry matter (DM) and crude prot...
Near infrared reflectance spectroscopy (NIRS) was assessed for its capacity to estimate the mineral ...
Near infrared reflectance spectroscopy (NIRS) were used to assess the chemical composition of a wide...
Pasture quality monitoring is a key element in the decision making process of the farm manager. The ...
Intensive livestock feeding requires constant monitoring of diet composition to ensure a consistent ...
A near infrared reflectance spectroscopy (NIRS) method for rapid determination of nitrogen, phosphor...
Many ecological studies rely heavily on chemical analysis of plant and animal tissues. Often, there ...
A Near Infra-Red Reflectance Spectrophotometer was calibrated to analyse Italian ryegrass for protei...
One hundred and eighteen grass silage samples with known chemical composition and in vitro determine...
Shrubs are an important source of food for domestic livestock and wildlife in semiarid areas. This i...
Near infra-red reflectance spectroscopy (NIRS) was used to develop calibration equations to measure ...
Fast and precise analytical tools can contribute to optimize pasture management decisions. This work...