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Web Application for Spatial Modelling of Field Trials

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Title Web Application for Spatial Modelling of Field Trials
 
Creator Aparicio, Johan
Ariza-Suarez, Daniel
Raatz, Bodo
 
Subject PHENOTYPES
GENETICS
AGRICULTURE
FIELD TRIALS
SPATIAL DATA
 
Description In plant improvement experimental designs are used to decompose the total phenotypic variance observed in field experiments into at least two components: A genetic and a non-genetic component that is attributable to the spatial variation or environment. Recently, new methodologies for the modelling of spatial trends have been published using the arrangement of the experimental units in the field. These methodologies have shown an improvement in the prediction of the genetic potential of evaluated genotypes. However, the use of these tools may be limited because of the cost to access a licensed product and/or the requirement to be familiar with the language and environment that was used for their implementation. This, in turn limits the data analysis efficiency for decision making. These limitations led to the development of Mr.Bean, an easy-to-access, practical and user-friendly tool that integrates the spatial modelling capabilities of SpATS, the graphical versatility of plotly and the interactive and simple construction approach offered by Shiny for the development of Web applications. This tool incorporates descriptive analyses, measures of dispersion and centralization, graphical visualization for comparing multiple variables, the adjustment of
mixed models with or without spatial components and the identification of outlier data. All these capabilities are aimed at plant breeders and in general people working with agricultural field data to make precise decisions more quickly
 
Date 2019-09-26T14:00:00Z
2019-09-26T14:00:00Z
2019-07
 
Type Conference Paper
 
Identifier Aparicio, Johan; Ariza-Suarez, Daniel; Raatz, Bodo (2019). Web Application for Spatial Modelling of Field Trials. In: 15-19 of July 2019, Barranquilla, Colombia XXIX Simposio Internacional de Estadística.
https://hdl.handle.net/10568/103767
 
Language en
 
Rights Other