The objective of this study was to evaluate the use of Near Infrared Spectroscopy (NIRS) to analyze maize silage with a portable instrument. The instrument was a Zeiss Corona 45 working between 960 and 1700 nm which was used in Italy, Czech Republic and Poland. Best prediction performances were obtained using the Italian data set. Prediction error were 1.0, 0.16 and 0.4 respectively for DM, CP and NDF on a as is basis. With the instrument from Poland and Czech Republic there were lower accuracy of prediction compared to the Italian dataset, probably for their limited (less than 100 samples) calibration data set. Merging all the data set improved prediction accuracy for CP but not DM. It would appear that some form of instrument standardizat...
Preservation of forages as silages is needed by dairy farmers in NW Spain to feed their cows during ...
The analysis of the maize plant immediately after harvest is essential in order to check the composi...
Using NIRS directly on undried silage can increase error due to variability in sample particle size,...
The objective of this study was to evaluate the use of Near Infrared Spectroscopy (NIRS) to analyze ...
Forage analysis by near infrared reflectance (NIR) spectroscopy has had many advancements since it b...
Near infrared reflectance (NIR) spectroscopy has been used to evaluate forage quality since the earl...
Two handheld near infrared (NIR) spectrometers were used to quantify crude protein (CP) content of m...
Italian ryegrass (Lolium multiflorum) is an annual forage grass species which is widely cultivated i...
International audienceNear Infrared Spectrometry (NIRS) is used to evaluate the nutritional value of...
Until recently, feed evaluation of silages in official laboratories and feed factories was based on ...
The study aimed to evaluate the most predictive traits of fresh maize and the most appropriate multi...
The nutritive value of Brachiaria Hybrids is one of the most important parameters in the forages bre...
Miniature near infrared (NIR) spectrometers have flooded the marketplace recently, but with lower gr...
The aim of this study was to investigate the use of near infrared reflectance (NIRS) spectroscopy to...
Near infrared reflectance spectroscopy (NIRS) were used to assess the chemical composition of a wide...
Preservation of forages as silages is needed by dairy farmers in NW Spain to feed their cows during ...
The analysis of the maize plant immediately after harvest is essential in order to check the composi...
Using NIRS directly on undried silage can increase error due to variability in sample particle size,...
The objective of this study was to evaluate the use of Near Infrared Spectroscopy (NIRS) to analyze ...
Forage analysis by near infrared reflectance (NIR) spectroscopy has had many advancements since it b...
Near infrared reflectance (NIR) spectroscopy has been used to evaluate forage quality since the earl...
Two handheld near infrared (NIR) spectrometers were used to quantify crude protein (CP) content of m...
Italian ryegrass (Lolium multiflorum) is an annual forage grass species which is widely cultivated i...
International audienceNear Infrared Spectrometry (NIRS) is used to evaluate the nutritional value of...
Until recently, feed evaluation of silages in official laboratories and feed factories was based on ...
The study aimed to evaluate the most predictive traits of fresh maize and the most appropriate multi...
The nutritive value of Brachiaria Hybrids is one of the most important parameters in the forages bre...
Miniature near infrared (NIR) spectrometers have flooded the marketplace recently, but with lower gr...
The aim of this study was to investigate the use of near infrared reflectance (NIRS) spectroscopy to...
Near infrared reflectance spectroscopy (NIRS) were used to assess the chemical composition of a wide...
Preservation of forages as silages is needed by dairy farmers in NW Spain to feed their cows during ...
The analysis of the maize plant immediately after harvest is essential in order to check the composi...
Using NIRS directly on undried silage can increase error due to variability in sample particle size,...