Pre-Harvest Forecasting of Cashew Yield Based on Biometrical Characters
dc.contributor.author | George, M.V. | |
dc.contributor.author | Amarnath, C.H. | |
dc.contributor.author | Vijayakumar, K. | |
dc.date.accessioned | 2014-07-16T10:26:18Z | |
dc.date.available | 2014-07-16T10:26:18Z | |
dc.date.issued | 2007-02 | |
dc.description.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). | en_US |
dc.identifier.citation | In: Proceedings, PLACROSYM V, CPCRI, Kasaragod, 15-18 Dec. 1982. Edited by K. V. A. Bavappa and others 1984 p-41-45 | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/4182 | |
dc.language.iso | en | en_US |
dc.title | Pre-Harvest Forecasting of Cashew Yield Based on Biometrical Characters | en_US |
dc.type | Article | en_US |