Publication Date

1993

Description

The development of rapid and reliable methods for the evaluation and prediction of forage quality has been the objective of many researchers for several years. The infrared-reflectance technique was developed for rapid prediction of nutritive value and chemical composition of feedstuffs, and for the last decade has been applied at our institute for the prediction of the nutritive value of forage samples from field trials and breeding programmes. Calibration curves have been developed for alfalfa (Medicago sativa L.), Italian ryegrass (Lolium multiflorum Lam.), cocksfoot (Dactylis glomerata L.), tall fescue (Festuca arundinacea· Schreb.), bromegrass (Bromus sp,) and clovers, Samples from performance tests carried out at various sites and with new breeding materials are systematically evaluated so as to upgrade the accuracy of the original calibration curves and, hence, to provide a precise estimation of the nutritive value of various forage species in crop management, physiology, genetics and breeding experiments.

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Improved Nutritive Value of Different Forage Species Monitored by Near-infrared Reflectance Spectroscopy

The development of rapid and reliable methods for the evaluation and prediction of forage quality has been the objective of many researchers for several years. The infrared-reflectance technique was developed for rapid prediction of nutritive value and chemical composition of feedstuffs, and for the last decade has been applied at our institute for the prediction of the nutritive value of forage samples from field trials and breeding programmes. Calibration curves have been developed for alfalfa (Medicago sativa L.), Italian ryegrass (Lolium multiflorum Lam.), cocksfoot (Dactylis glomerata L.), tall fescue (Festuca arundinacea· Schreb.), bromegrass (Bromus sp,) and clovers, Samples from performance tests carried out at various sites and with new breeding materials are systematically evaluated so as to upgrade the accuracy of the original calibration curves and, hence, to provide a precise estimation of the nutritive value of various forage species in crop management, physiology, genetics and breeding experiments.