Rank-based data synthesis of common bean on-farm trials across four Central American countries

Location-specific information is required to support decision making in crop variety management, especially under increasingly challenging climate conditions. Data synthesis can aggregate data from individual trials to produce information that supports decision making in plant breeding programs,...

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Autores principales:	Aguilar, Amílcar, Barrios, Mirna, Mercado, Leida, Suchini Ramírez, José Gabriel, y 14 autores más.
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	Crop Breeding & Genetics 2014
Materias:	MANEJO DEL CULTIVO CROP MANAGEMENT DATOS DE LA INVESTIGACIÓN RESEARCH DATA ENSAYOS DE VARIEDADES VARIETY TRIALS TOMA DE DECISIONES DECISION MAKING AMÉRICA CENTRAL TRICOT DATA SYNTHESIS
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/4674

id	RepoCATIE4674
record_format	dspace
spelling	RepoCATIE46742023-06-12T13:16:07Z Rank-based data synthesis of common bean on-farm trials across four Central American countries Aguilar, Amílcar Barrios, Mirna Mercado, Leida Suchini Ramírez, José Gabriel y 14 autores más. MANEJO DEL CULTIVO CROP MANAGEMENT DATOS DE LA INVESTIGACIÓN RESEARCH DATA ENSAYOS DE VARIEDADES VARIETY TRIALS TOMA DE DECISIONES DECISION MAKING AMÉRICA CENTRAL TRICOT DATA SYNTHESIS Location-specific information is required to support decision making in crop variety management, especially under increasingly challenging climate conditions. Data synthesis can aggregate data from individual trials to produce information that supports decision making in plant breeding programs, extension services, and of farmers. Data from on-farm trials using the novel approach of triadic comparison of technologies (tricot) are increasingly available, from which more insights could be gained using a data synthesis approach. The objective of our study was to present the applicability of a rank-based data synthesis approach to several datasets from tricot trials to generate location-specific information supporting decision making in crop variety management. Our study focuses on tricot data from14 trials of common bean (Phaseolus vulgaris L.) performed between 2015 and 2018 across four countries in Central America (Costa Rica, El Salvador, Honduras, and Nicaragua). The combined data of 17 common bean genotypes were rank aggregated and analyzed with the Plackett– Luce model. Model-based recursive partitioning was used to assess the influence of spatially explicit environmental covariates on the performance of common bean genotypes. Location-specific performance was predicted for the three main growing seasons in Central America. We demonstrate how the rank-based data synthesis methodology allows integrating tricot trial data fromheterogenous sources to provide location-specific information to support decision making in crop variety management. Maps of genotype performance can support decision making in crop variety evaluation such as variety recommendations to farmers and variety release processes 2014-10-20T04:27:31Z 2014-10-20T04:27:31Z 2022 Artículo https://repositorio.catie.ac.cr/handle/11554/4674 openAccess en Crop Science https://doi.org/10.1002/csc2.20817 21 páginas application/pdf Crop Breeding & Genetics
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
topic	MANEJO DEL CULTIVO CROP MANAGEMENT DATOS DE LA INVESTIGACIÓN RESEARCH DATA ENSAYOS DE VARIEDADES VARIETY TRIALS TOMA DE DECISIONES DECISION MAKING AMÉRICA CENTRAL TRICOT DATA SYNTHESIS
spellingShingle	MANEJO DEL CULTIVO CROP MANAGEMENT DATOS DE LA INVESTIGACIÓN RESEARCH DATA ENSAYOS DE VARIEDADES VARIETY TRIALS TOMA DE DECISIONES DECISION MAKING AMÉRICA CENTRAL TRICOT DATA SYNTHESIS Aguilar, Amílcar Barrios, Mirna Mercado, Leida Suchini Ramírez, José Gabriel y 14 autores más. Rank-based data synthesis of common bean on-farm trials across four Central American countries
description	Location-specific information is required to support decision making in crop variety management, especially under increasingly challenging climate conditions. Data synthesis can aggregate data from individual trials to produce information that supports decision making in plant breeding programs, extension services, and of farmers. Data from on-farm trials using the novel approach of triadic comparison of technologies (tricot) are increasingly available, from which more insights could be gained using a data synthesis approach. The objective of our study was to present the applicability of a rank-based data synthesis approach to several datasets from tricot trials to generate location-specific information supporting decision making in crop variety management. Our study focuses on tricot data from14 trials of common bean (Phaseolus vulgaris L.) performed between 2015 and 2018 across four countries in Central America (Costa Rica, El Salvador, Honduras, and Nicaragua). The combined data of 17 common bean genotypes were rank aggregated and analyzed with the Plackett– Luce model. Model-based recursive partitioning was used to assess the influence of spatially explicit environmental covariates on the performance of common bean genotypes. Location-specific performance was predicted for the three main growing seasons in Central America. We demonstrate how the rank-based data synthesis methodology allows integrating tricot trial data fromheterogenous sources to provide location-specific information to support decision making in crop variety management. Maps of genotype performance can support decision making in crop variety evaluation such as variety recommendations to farmers and variety release processes
format	Artículo
author	Aguilar, Amílcar Barrios, Mirna Mercado, Leida Suchini Ramírez, José Gabriel y 14 autores más.
author_facet	Aguilar, Amílcar Barrios, Mirna Mercado, Leida Suchini Ramírez, José Gabriel y 14 autores más.
author_sort	Aguilar, Amílcar
title	Rank-based data synthesis of common bean on-farm trials across four Central American countries
title_short	Rank-based data synthesis of common bean on-farm trials across four Central American countries
title_full	Rank-based data synthesis of common bean on-farm trials across four Central American countries
title_fullStr	Rank-based data synthesis of common bean on-farm trials across four Central American countries
title_full_unstemmed	Rank-based data synthesis of common bean on-farm trials across four Central American countries
title_sort	rank-based data synthesis of common bean on-farm trials across four central american countries
publisher	Crop Breeding & Genetics
publishDate	2014
url	https://repositorio.catie.ac.cr/handle/11554/4674
work_keys_str_mv	AT aguilaramilcar rankbaseddatasynthesisofcommonbeanonfarmtrialsacrossfourcentralamericancountries AT barriosmirna rankbaseddatasynthesisofcommonbeanonfarmtrialsacrossfourcentralamericancountries AT mercadoleida rankbaseddatasynthesisofcommonbeanonfarmtrialsacrossfourcentralamericancountries AT suchiniramirezjosegabriel rankbaseddatasynthesisofcommonbeanonfarmtrialsacrossfourcentralamericancountries AT y14autoresmas rankbaseddatasynthesisofcommonbeanonfarmtrialsacrossfourcentralamericancountries
_version_	1808117659739357184

Rank-based data synthesis of common bean on-farm trials across four Central American countries

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