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Statements

Subject Item
n2:RIV%2F62156489%3A43110%2F13%3A00204886%21RIV14-TA0-43110___
rdf:type
skos:Concept n12:Vysledek
rdfs:seeAlso
https://mme2013.vspj.cz/about-conference/conference-proceedings
dcterms:description
Plant variety testing through field experiments and subsequent statistical evaluations provide necessary information for variety entry in national and international registers. A newly registered variety must possess unique properties making it distinct from other already registered varieties. It must be uniform, stable and provide original characteristics, which set it above the current level of production potential. Qualified decision-making about variety registration is conditioned upon availability of relevant information. The current paper describes the process of creating a support system for decision-making (DSS) to assist planning and evaluations of field experiments according to guidelines set by the National Plant Variety Office of Central Institute for Supervising and Testing in Agriculture. The decision support system shall represent a powerful instrument to provide assistance in the area of quantitative analysis, a part of the variety testing and evaluations. DSS generates optimum design of field experiments through suitable placement of varieties in field trial plans and secures the follow-up statistical analysis of the experimental results. The paper describes statistical and mathematical methods implemented in original or modified form and focuses on modules of the decision support system as a whole. Issues of validating the implemented algorithms are discussed. The DSS system was implemented in the MATLAB language and supplied with suitable user interface. Plant variety testing through field experiments and subsequent statistical evaluations provide necessary information for variety entry in national and international registers. A newly registered variety must possess unique properties making it distinct from other already registered varieties. It must be uniform, stable and provide original characteristics, which set it above the current level of production potential. Qualified decision-making about variety registration is conditioned upon availability of relevant information. The current paper describes the process of creating a support system for decision-making (DSS) to assist planning and evaluations of field experiments according to guidelines set by the National Plant Variety Office of Central Institute for Supervising and Testing in Agriculture. The decision support system shall represent a powerful instrument to provide assistance in the area of quantitative analysis, a part of the variety testing and evaluations. DSS generates optimum design of field experiments through suitable placement of varieties in field trial plans and secures the follow-up statistical analysis of the experimental results. The paper describes statistical and mathematical methods implemented in original or modified form and focuses on modules of the decision support system as a whole. Issues of validating the implemented algorithms are discussed. The DSS system was implemented in the MATLAB language and supplied with suitable user interface.
dcterms:title
Decision support system for plant variety testing in the Czech Republic Decision support system for plant variety testing in the Czech Republic
skos:prefLabel
Decision support system for plant variety testing in the Czech Republic Decision support system for plant variety testing in the Czech Republic
skos:notation
RIV/62156489:43110/13:00204886!RIV14-TA0-43110___
n12:predkladatel
n13:orjk%3A43110
n3:aktivita
n11:P
n3:aktivity
P(TD010128)
n3:dodaniDat
n9:2014
n3:domaciTvurceVysledku
n17:9585141 n17:3980553 n17:3060160
n3:druhVysledku
n18:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
68088
n3:idVysledku
RIV/62156489:43110/13:00204886
n3:jazykVysledku
n16:eng
n3:klicovaSlova
NNA; REML; field experiments; decision support system; plant variety testing
n3:klicoveSlovo
n14:plant%20variety%20testing n14:REML n14:field%20experiments n14:NNA n14:decision%20support%20system
n3:kontrolniKodProRIV
[D2A370F6F1FE]
n3:mistoKonaniAkce
Jihlava
n3:mistoVydani
Jihlava
n3:nazevZdroje
Proceedings of the 31st International Conference Mathematical Methods in Economics 2013
n3:obor
n22:BB
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n23:TD010128
n3:rokUplatneniVysledku
n9:2013
n3:tvurceVysledku
Hampel, David Adamec, Václav Janová, Jitka
n3:typAkce
n7:WRD
n3:zahajeniAkce
2013-09-11+02:00
s:numberOfPages
6
n15:hasPublisher
College of Polytechnics Jihlava
n21:isbn
978-80-87035-76-4
n20:organizacniJednotka
43110