Predicting seasonal production of eragrostis curvula

Abstract

The potential for mathematical prediction of the yield and quality of forage crops in fodder production planning is still untapped. This paper presents a multiple regression equation accounting for 88% of the variation that occurred in some 270 individual annual yields of Eragrostis curvula. The data originated from nine sites in the eastern high summer‐rainfall regions in South Africa. The significant variables were level of applied nitrogen, rainfall, age of pasture and a combination of soil factors.