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Statistical Models for Agroforestry Yield by D' Stardy Djami is a document available to read on EtoBox.

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The document evaluates statistical models for predicting yields in agroforestry systems. It analyzes data from an agroforestry research project on the yields of seven tree species and soybeans. Polynomial, sinusoidal, and MMF models best predicted tree height, while Gaussian and Richards models best predicted tree diameter. Soybean yield initially increased up to five years then declined; rational and Hoerl models best predicted soybean yield at 1m and 5m from trees. Yield correlated negatively with diamete

Author

D' Stardy Djami

Language

EN