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1. Green mathematics: Benefits of including biological variation in your data analysis.

Author

TIJSKENS, L. M. M., SCHOUTEN, R. E., UNUK, T., and SIMČIČ, M.

Subjects
PLANT variation, BIOLOGICAL variation statistics, PLANT development, DATA analysis, BIOLOGICAL mathematical modeling
Abstract

Copyright of Acta Agriculturae Slovenica is the property of Biotechnical Faculty of the University of Ljubljana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2015
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2. Green mathematics: Benefits of including biological variation in your data analysis

Author

L.M.M. Tijskens, Rob E. Schouten, Tatjana Unuk, and Marjan Simčič

Subjects
data analysis, Indexed nonlinear regression, lcsh:Agriculture, Biological variation, Biological property, Statistics, Colour of apples, tomatoes, Mixed effects nonlinear regression, apples, biological properties, biodiversity, Water Science and Technology, Mathematics, Firmness of tomatoes, mathematics, Scale (chemistry), lcsh:S, Horticulture & Product Physiology, PE&RC, biological differences, Variation (linguistics), statistical methods, Crop quality, Biological shift factor, measurement, General Agricultural and Biological Sciences, Tuinbouw & Productfysiologie, data processing
Abstract

Biological variation is omnipresent in nature. It contains useful information that is neglected by the usually applied statistical procedures. To extract this information special procedures have to be applied. Biological variation is seen in properties (e.g. size, colour, firmness), but the underlying issue is almost always to the variation in development or maturity in a batch of individuals generated by small scale environmental differences. The principles of assessing biological variation in batches of individuals are explained without putting emphasis on mathematical details. Obtained explained parts increase from about 60 to 80 % for the usual approach to 95 when the biological variation is taken into account. When technical variation or measuring error is small even 99 % can be achieved. The benefit of the presented technology is highlighted based on a number of already published studies covering the colour of apples during growth and storage and the firmness of cut tomatoes during storage

Published
2015

3. Green mathematics: Benefits of including biological variation in your data analysis

Author

Tijskens, L.M.M., Schouten, R.E., Unuk, T., Simcic, M., Tijskens, L.M.M., Schouten, R.E., Unuk, T., and Simcic, M.

Abstract

Biological variation is omnipresent in nature. It contains useful information that is neglected by the usually applied statistical procedures. To extract this information special procedures have to be applied. Biological variation is seen in properties (e.g. size, colour, firmness), but the underlying issue is almost always to the variation in development or maturity in a batch of individuals generated by small scale environmental differences. The principles of assessing biological variation in batches of individuals are explained without putting emphasis on mathematical details. Obtained explained parts increase from about 60 to 80 % for the usual approach to 95 when the biological variation is taken into account. When technical variation or measuring error is small even 99 % can be achieved. The benefit of the presented technology is highlighted based on a number of already published studies covering the colour of apples during growth and storage and the firmness of cut tomatoes during storage.

Published
2015

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