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| Authors: | J. Dalmases, M. Pascual, V. Urbina, R. Blanco |
| Keywords: | fruit growth, prediction functions, Prunus persica |
Abstract:
Fruit growth is usually evaluated by using the increase in diameter.
Since fruit growth is a function of volume (or weight), this is often estimated on the basis of diameter by means of approximations to geometric forms.
In this report, we fitted the functions that more accurately correlated perimeter, diameter, volume and fresh weight of fruit to be used for an indirect estimation during the last part of seasonal growth by means of a non-destructive technique.
The regression equations showed the highest coefficient of determination (R2) in all studied cultivars when the chosen variable was the perimeter.
Since these relationships are genetically determined for a given environment, the regression coefficients for each variable in every cultivar are provided.
The reported curves improve the accuracy of estimations obtained with other methods, and the regression coefficients maintain their stability for different years.
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