Implementing a Decision Support System for Plant Variety Testing in the Czech Republic

David Hampel, Martin Tláskal () and Jitka Janová
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Martin Tláskal: Mendel University in Brno

A chapter in Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry, 2024, pp 35-61 from Springer

Abstract: Abstract In our contribution, we address advanced problems of plant variety experiments, which are organised at the official level of the Czech Republic by the Central Institute for Supervising and Testing in Agriculture (CISTA), a specialised authority established by the Ministry of Agriculture of the Czech Republic. Experiments carried out by CISTA are typically conducted with a low number of replications, and it is often necessary to take into account the limited experimental area when planning an experiment. These are mostly organised according to Alpha-design which represents a specific optimisation issue. In official plant variety testing, various restrictions appear (shape of the area, height of plant varieties, appearance of the replicated neighbourhood of the plant variety) which are not included in the original optimisation, and ex post design modifications must be made. The aim of this chapter is to describe the process of the development and validation of a decision support system (DSS) that accommodates an optimal Alpha-design for these restrictions and provide detailed information on the implementation of the DSS in practice. The DSS was developed in 2012–2013 and implemented through 2014–2015, but the development of the DSS is still ongoing. Currently, it is in routine usage and works effectively.

Keywords: Damage-resistant Alpha-design; Decision support system; Experimental design; Implementation problems; Plant variety testing; Validation (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-3-031-49740-7_3

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