Yield component forecasting models for corn
1988
Apichart Pongsrihadulchai (Office of Agricultural Economics, Bangkok (Thailand). Statistical and Survey Planning Section)
By the method of forecast the yield is implicated to two components, i.e. 1) corn ears per rai that bear grains and 2) average weight of the grains on each ear. Both components entails six stages of growth, namely 1) earing 2) bearing the seeds 3) mikly stage 4) stage of starchy liquid 5) flint stage 6) harvesting stage. For each component, a regression model is built incorporated with such varibles under study as number of the corn plants number of ears and length of grain rows. The data were gathered from corn plots, randomly drawn, in the farmers' corn fields. One sample corn plot consists of two subplots, each with two corn rows, 5 meters in length. The finding shows that forecasting the grain-bearing ears is satisfactorily reliable. Being relatively simple, the equatious gave rather high R2 values and the b, are statistically significantly far from zero. Furthermore, the yield estimates, when compared to the actual harvests, yield no difference of statistical significance. Thus the yield component forecasting proved a satisfactorily reliable parameter estimator.
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