Yield prediction model for falcata (paraserianthes falcataria (L.) Nielsen) in falcata-based agroforestry systems in Misamis Oriental, Philippines
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Sustainable adaption of Falcata-based agroforestry systems and improve tree component productivity in Misamis Oriental necessitates derivation of quantitative information on yield.
The project was conducted to determine the yield of Falcata planted in agroforestry systems considering various stand characteristics, physiographic characteristics, cultural practice, and
pest incidence. A total of 360 rectangular temporary sample plots (1000 m2 or 20 m x 50 m) across 3 cities and 15 municipalities were established. Diagnostic tests, correlation analysis, and
multiple regression analysis were used to develop the Falcata yield, prediction model. The result showed that the yield of Falcata under woodlot, boundary planting, alley cropping, multistorey, intercropping, and taungya agroforestry systems can be explained by age, merchantable height, site index, and spacing. The final yield model for Falcata is sqrtVolume (m3) = 0.1841444 -
10.42376*1/SI + 0.0029367*SP + 0.0842593*A + 0.0473169*MH. The newly developed model will serve as a guide in decision-making as to the right time to harvest, appropriate density, a
suitable site for the establishment, and the right merchantable height for greater productivity.
Keywords: Falcata, agroforestry, yield, volume, model
ID: 3623089