Pre-Harvest Forecasting of Cashew Yield Based on Biometrical Characters
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Date
2007-02
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Abstract
A study conducted for three years during 1978-81 to standardize a technique for forecasting cashew yield based on seven biometrical characters recorded at weekly intervals, revealed that yield can be forecast with reasonable precision (R2=o.64) by a single spot observation made during the peak flowering period (February-March). The number of variables could be brought down to three viz. the number of nuts on the tree, condition of flowering (graded 0 to 5), and canopy area, without substantially affecting the accuracy of the estimate (A* =0.61).
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In: Proceedings, PLACROSYM V, CPCRI, Kasaragod, 15-18 Dec. 1982. Edited by K. V. A. Bavappa and others 1984 p-41-45