Journal of the Japanese Agricultural Systems Society
Online ISSN : 2189-0560
Print ISSN : 0913-7548
ISSN-L : 0913-7548
Contributed paper
Estimating oat feed component values using near-infrared reflectance spectroscopy
Kentaro EGUCHIIkuo HATTORIMasaaki KATSURATomoyuki TAKAI
Author information
JOURNAL FREE ACCESS

2021 Volume 37 Issue 3 Pages 63-73

Details
Abstract

Oat is a crude feed that is widely cultivated after Italian ryegrass as a winter forage crop in Japan. Significant reductions in cost and labor can be expected using near infrared spectroscopy in the design of the feed. In addition to oat, there have been reports on the preparation of calibration curves for feed constituent values using materials containing wheat and sorghum, but there have not yet been reports of calibration curves for near-infrared spectroscopy limited to oat. Therefore, in this test, the purpose was to estimate the feed constituent value of oat by near-infrared spectroscopy. The precision of the calibration curve of feed constituent value was divided into four types: "sativa (Avena sativa L.)", "strigosa (Avena strigosa Schreb.)", "sativa/strigosa" and "All Included", which are mixed sowing of "strigosa" and "strigosa", by subdivision or roughly division, and it was clarified that "All Included" was highly accurate and that the operability was high without the need to change the calibration curve each time. A direct method (Method 1) in which the total digestible nutrient content (TDN) is calculated in the nutrient requirements of dairy cattle: seventh revised edition, 2001 NRC based on the measured value of the feed ingredient of oat, and a calibration curve is generated and evaluated by near-infrared spectroscopy using the calculated value, and a method (Method 2) in which the estimated value of the feed ingredient is obtained by near-infrared spectroscopy and the TDN content is indirectly calculated in the nutrient requirements of dairy cattle: seventh revised edition, 2001 NRC based on the calculated value, were examined, and it was clarified that Method 1 is superior.

Content from these authors
© 2021 The Japanese Agricultural Systems Society
Previous article
feedback
Top