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Application of the near infrared spectroscopy (NIRS) for the ethanol cereal breeding and ethanol production

Project

Production processes

This project contributes to the research aim 'Production processes'. Which funding institutions are active for this aim? What are the sub-aims? Take a look:
Production processes


Project code: JKI-PB-08-1201
Contract period: 01.10.2012 - 31.12.2017
Purpose of research: Applied research

The objective of project is the practice adapted use of near infrared spectroscopy (NIRS) for ethanol corn breeding and ethanol processing. More complex and expensive analytical methods are necessary currently to determine the yield of ethanol. This is a disadvantage for the rapid delivery of appropriate lines and grains. The planned development of robust NIR calibrations of relevant grain ingredients and the ethanol yield is an alternative method for practical use.The 'Verification of variance and environmental impact on technologically important properties for ethanol production in cereals winter wheat, winter triticale and winter rye' is to be implemented in the project through the screening of new breeding material (DH lines and hybrids) and agronomic field trials. This ensured through the integration of expert knowledge of fermentation technology, the cereal breeding and crop management data base generated sufficient variability and representativeness of the calibration models.Robust NIRS calibration models to estimate ethanol yield will promote the development of varieties of winter wheat, winter rye and winter triticale, quality of ethanol production and pricing. The project objective is the development of a rapid method for prediction of ethanol yield of weat, rye and triticale samples based on NIR calibrations. First test calibrations based on samples from field trials of German Plant Variety Office revealed no practically applicable calibration models. The standard error of cross validation ( RMSECV ) of the ethanol yield are 0.66 to 1.28 l ethanol/100 kg cereals. In relation to the low standard deviation (SD ) of the calibraton data sets (0,95 to 1,61 l ethanol/100 kg cereals) , the error in this way are too high, so that the RPDcv values ( RPDcv = SD / RMSECV ) is between 1.35 and 1.63. A RPD value 2.5 is required, so that the calibration can be used for screening. These first results in the context of literature reviews rise to the assumption that the observed standard deviation of the ethanol yield is maximal 2l ethanol/100 kg cereals. Therefore a subsequent step will focused the investigation on earlier breeding material.

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Subjects

Framework programme

BMEL Frameworkprogramme 2008

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