Sampling factors affecting the use of mineral analysis of apple fruit for the prediction of bitter pit

49Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Several aspects of the sampling of apple fruit for mineral analysis and prediction of bitter pit incidence were studied. Variability of mineral analyses can be minimised, and precision of bitter pit prediction increased, by sampling fewer fruit per tree from a large number of trees. Less variability in Ca analysis was found by taking two opposite plugs of cortical tissue from each fruit. Fruits from the upper parts of trees had less Ca and a higher incidence of bitter pit. If a high proportion of fruit in the crop are from these sites, then a sampling scheme which excludes them may result in less accurate predictions. The relationship between fruit Ca concentration and fruit size varied with the crop load on tree tree. In heavily laden trees, the decrease in Ca concentration with increasing fruit weight was half that in lightly laden trees. The relationships between fruit size and both bitter pit incidence and Ca concentration were sufficiently strong to be useful in standardising sampling schemes for analysis and prediction. © Crown 1990.

Cite

CITATION STYLE

APA

Ferguson, I. B., & Triggs, C. M. (1990). Sampling factors affecting the use of mineral analysis of apple fruit for the prediction of bitter pit. New Zealand Journal of Crop and Horticultural Science, 18(2–3), 147–152. https://doi.org/10.1080/01140671.1990.10428086

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free