Journal
AGRICULTURAL & ENVIRONMENTAL LETTERS
Volume 4, Issue 1, Pages -Publisher
WILEY
DOI: 10.2134/ael2018.11.0057
Keywords
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Funding
- Samuel Roberts Noble Foundation
- A.J. & Susan Jacques Chair
- Oklahoma Agricultural Experiment Station [OKL02939]
- USDA National Institute of Food and Agriculture, Hatch Project [OKL02939]
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Estimating forage availability is important in optimizing livestock stocking rates. The rising plate meter was developed to estimate forage availability. It needs a calibration equation to convert its measurement to a prediction of forage mass, and predictions can vary across crops, seasons, and locations. Our research objective was to derive new calibration equations for wheat (Triticum aestivum L.) and rye (Secale cereale L.). Most past literature used a linear model, but recent literature has suggested that using a quadratic model without an intercept could improve predictions. A non-nested test was used to test among these two non-nested models for wheat and rye calibration equations. The results favored the more encompassing model of a quadratic with an intercept; however, with wheat the quadratic with no intercept was not rejected. A pooling test indicated different equations were needed for species, seasonality (winter and non-winter), and tillage type (tilled or no-till).
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