Pre-Harvest Forecasting of Cashew Yield Based on Biometrical Characters

dc.contributor.authorGeorge, M.V.
dc.contributor.authorAmarnath, C.H.
dc.contributor.authorVijayakumar, K.
dc.date.accessioned2014-07-16T10:26:18Z
dc.date.available2014-07-16T10:26:18Z
dc.date.issued2007-02
dc.description.abstractA 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).en_US
dc.identifier.citationIn: Proceedings, PLACROSYM V, CPCRI, Kasaragod, 15-18 Dec. 1982. Edited by K. V. A. Bavappa and others 1984 p-41-45en_US
dc.identifier.urihttp://hdl.handle.net/123456789/4182
dc.language.isoenen_US
dc.titlePre-Harvest Forecasting of Cashew Yield Based on Biometrical Charactersen_US
dc.typeArticleen_US

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