Publication Date
1985
Location
Kyoto Japan
Description
The performance of a grinding energy test for the simple and rapid prediction of crude fibre content in spring growth of grassland was investigated during three successive years and its potential for deriving recommendations on appropriate cutting dates demonstrated. The grinding energy test appeared to achieve a precision comparable to that for near infrared based predictions of crude fibre reported from the literature. Prediction bias consisting in a mean 2% crude fibre underestimation was found to occur in one year presumably due to an anomalous _constellation of environmental conditions. This appeared to have affected the pattern of plant development and consequently grinding energy data as a physical attribute of forage quality differently from the chemical attribute crude fibre. It is argued that correction of bias is possible under these circumstances where early season validity checks on predicted samples may be carried out.
Citation
Paul, Chr; Borstel, U V.; and Zimmer, E, "Using Grinding Energy Measurements for Predicting Crude Fibre Content in First Growths of Permanent Grassland" (1985). IGC Proceedings (1985-2023). 6.
(URL: https://uknowledge.uky.edu/igc/1985/ses10/6)
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Using Grinding Energy Measurements for Predicting Crude Fibre Content in First Growths of Permanent Grassland
Kyoto Japan
The performance of a grinding energy test for the simple and rapid prediction of crude fibre content in spring growth of grassland was investigated during three successive years and its potential for deriving recommendations on appropriate cutting dates demonstrated. The grinding energy test appeared to achieve a precision comparable to that for near infrared based predictions of crude fibre reported from the literature. Prediction bias consisting in a mean 2% crude fibre underestimation was found to occur in one year presumably due to an anomalous _constellation of environmental conditions. This appeared to have affected the pattern of plant development and consequently grinding energy data as a physical attribute of forage quality differently from the chemical attribute crude fibre. It is argued that correction of bias is possible under these circumstances where early season validity checks on predicted samples may be carried out.
