|
|
|
| Authors: | J. Mohammadi, V. Roohi |
| Keywords: | nutrient, leaf analysis, statistical quality control |
Abstract:
Besides soil testing, plant analysis can provide useful information about the nutrient status in plants.
Leaf analysis of almond trees provides essential and useful knowledge regarding nutrient status.
Nowadays, there are different methods to process and evaluate plant analysis data.
Moreover, optimal nutrient concentrations and critical levels which may cause deficiency or toxicity in plants are available.
Thus, the results of plant analysis can be compared directly with these reference values.
Unfortunately, most of these evaluation methods are not based on a sound and coherent statistical basis.
The major aim of this paper is to explore the capability and usefulness of statistical quality control procedures in the evaluation of seasonal changes of some mineral nutrients, including N, P, and K, in leaves of two almond cultivars.
Statistical quality control procedures can be used efficiently for assessing the mineral content of leaves.
Quality control charts can be applied to each variable separately, in order to investigate growth and nutritional conditions with respect to the temporal variability of individual factors.
These charts can indicate whether or not statistical control is being maintained and provide other signals that should be considered to detect the causes of being out of control.
|
Download Adobe Acrobat Reader (free software to read PDF files) |
|