Method for the determination of processing influences on the energy value of feedstuff raw materials and/or feedstuffs

A computer-implemented method for determining processing influences on an energy value of a feedstuff raw material and/or feedstuff, the computer-implemented method comprising

• a) subjecting a sample of a processed feedstuff raw material and/or feedstuff to
• a1) measuring at least one parameter selected from the group consisting of a trypsin inhibitor activity, a urease activity, a protein solubility in alkali and a protein dispersibility index of a sample;
• a2) determining a ratio of a reactive amount of lysine to a total amount of lysine, comprising measuring the reactive amount of lysine and the total amount of lysine in the sample, followed by a formation of the ratio of the reactive amount of lysine to the total amount of lysine;
• and
• a3) measuring an amount of at least one amino acid selected from the group consisting of methionine, cysteine, cystine, threonine, leucine, arginine, isoleucine, valine, histidine, phenylalanine, tyrosine, tryptophan, glycine, serine, proline, alanine, aspartic acid and glutamic acid in the sample;
• b) plotting parameters obtained in a1) to a3) as a function of time points of processing of the sample in a);
• c1) determining an area in a plot of b), where a value of the trypsin inhibitor activity, expressed as mg of trypsin per g sample, is more than 4, an increase in a pH value in determining the urease activity is more than 0.35, a value of the protein solubility in alkali, expressed as a percentage of protein in the sample that is soluble in an alkaline solution, is more than 85%, and/or a value of the protein dispersibility index, expressed as a percentage of an original nitrogen content of the sample, is more than 40%, and assigning an are obtained thereby as under-processed;
• c2) determining the area in the plot of b), where a value of the ratio of the reactive amount of lysine to the total amount of lysine is less than 90%, the value of the protein dispersibility index is less than 15%, and/or the value of the protein solubility in alkali is less than 73%, and assigning an area obtained thereby as over-processed;
• c3) determining the area in the plot of b), where the value of the trypsin inhibitor activity-is less than 4, the value of the protein solubility in alkali is between 73 and 85%, the value of the protein dispersibility index is between 15 and 40% and/or the value of the ratio of the reactive amount of lysine to the total amount of lysine is at least 90%, and assigning an area obtained thereby as adequately processed;
• and/or
• subtracting the areas determined in c1) and c2) from the plot of b) and assigning an area obtained thereby as adequately processed;
• d) generating a processing scale by standardizing the areas obtained in c1) to c3) to equal size, sorting the areas obtained in c1) to c3) from over-processing to under-processing or vice versa and assigning a continuous scaling to standardized and sorted areas;
• e) inserting values of the parameters obtained in a1) to a3) into a power series, and forming a mean of values obtained from each power series, wherein said mean is designated as a processing condition indicator (PCI);
• and
• f) measuring a gross energy (GE), a digestible energy (DE), a metabolisable energy (ME), a net energy (NE) for pigs, and/or an apparent metabolizable energy corrected to zero nitrogen retention (AMEn) for poultry in a sample of the same feedstuff raw material and/or feedstuff as in a).

A computer-implemented method for assessing processing influences on an energy value of a feedstuff raw material and/or feedstuff, the computer-implemented method comprising:

• D1) recording a near infrared spectrum of a sample of the feedstuff raw material and/or feedstuff;
• D2) matching absorption intensities at respective wavelengths or wavenumbers in the near infrared spectrum obtained in D1) with corresponding parameters and their values determined in
• a1) measuring at least one parameter selected from the group consisting of a trypsin inhibitor activity, a urease activity, a protein solubility in alkali and a protein dispersibility index of the sample;
• a2) determining a ratio of a reactive amount of lysine to a total amount of lysine, comprising measuring the reactive amount of lysine and the total amount of lysine in the sample, followed by a formation of the ratio of the reactive amount of lysine to the total amount of lysine;
• and
• a3) measuring an amount of at least one amino acid selected from the group consisting of methionine, cysteine, cystine, threonine, leucine, arginine, isoleucine, valine, histidine, phenylalanine, tyrosine, tryptophan, glycine, serine, proline, alanine, aspartic acid and glutamic acid in the sample;
• and
• D3) plotting the matching of D2) as a calibration graph and/or expressing parameters determined in a1) to a3) in a calibration equation as a function of the absorption intensities at the respective wavelengths or wavenumbers matched in D2), D4) matching the absorption intensities at the respective wavelengths or wavenumbers in the near infrared spectrum of a sample obtained in D2) with processing conditions indicator of the sample;
• and
• D5) plotting the matching of D4) as a calibration graph and/or expressing the processing conditions indicator in a calibration equation as a function of the absorption intensities at the respective wavelengths or wavenumbers matched in D4),
• E1) recording a near infrared spectrum of a sample of a processed feedstuff raw material and/or feedstuff, wherein said sample is of unknown origin;
• E2) reading off values of at least one of the parameters of a1) to a3) matching to the absorptions in the near infrared spectrum obtained in E1) from the calibration graph of D3), and/or inserting the absorption intensities at the respective wavelengths or wavenumbers in the near infrared spectrum obtained in E1) into the calibration equation of D3) to obtain the values for the parameters of a1) to a3);
• E3) inserting the values for the parameters obtained in E2) into power series and forming a mean of the values obtained from each power series, wherein said mean is designated as the processing conditions indicator (PCI);
• and/or
• E4) reading off the processing conditions indicator from the calibration graph of D5) and/or inserting the absorption intensities at the respective wavelengths or wavenumbers into the calibration equation of D5) to obtain the processing conditions indicator (PCI).