Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 503477
Title Linking 'generativity' to crop properties of indeterminate growing tomatoes by principal component analysis
Author(s) Scheepens, D.; Schepers, H.E.; Kooten, O. Van
Source Acta Horticulturae 1107 (2015). - ISSN 0567-7572 - p. 181 - 186.
DOI http://dx.doi.org/10.17660/ActaHortic.2015.1107.24
Department(s) Horticulture and Product Physiology Group
Groep van KootenGroep van Kooten
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) Crop condition - Grower - Multivariate analysis - Plant balance - Solanum lycopersicum
Abstract

'Generativity' and 'strength' are elusive concepts. They are in the daily vocabulary of growers, but objective determination and quantification is hard. Therefore they are avoided in science. The incorporation of 'generativity' and 'strength' into the vocabulary of science will increase the understandability of scientific results to growers, and open possibilities for applied research questions. Here we propose a multivariate approach. A tomato crop was monitored with observations that are common in tomato cultivation. The measurements included stem diameter, leaf length, length growth of the stem, harvested fruit weight and brix. A principal component analysis was performed on the plant observations to find out whether the principal components can be linked to the crop attributes 'generativity' and 'strength'. To create a difference in 'generativity' two different irrigation regimes and two different leaf pruning regimes were applied. This article presents a proof of principle. We demonstrate that a multivariate analysis can be used to visualize the crop condition in a way that is recognizable for growers. This opens the possibility for quantification of 'generativity' and 'strength'.

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