| dc.creator | Aguilar, Amílcar | |
| dc.creator | Barrios, Mirna | |
| dc.creator | Mercado, Leida | |
| dc.creator | Suchini Ramírez, José Gabriel | |
| dc.creator | y 14 autores más. | |
| dc.date | 2014-10-20T04:27:31Z | |
| dc.date | 2014-10-20T04:27:31Z | |
| dc.date | 2022 | |
| dc.identifier | https://repositorio.catie.ac.cr/handle/11554/4674 | |
| dc.identifier | openAccess | |
| dc.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 | |
| dc.format | 21 páginas | |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.publisher | Crop Breeding & Genetics | |
| dc.relation | Crop Science | |
| dc.relation | https://doi.org/10.1002/csc2.20817 | |
| dc.subject | MANEJO DEL CULTIVO | |
| dc.subject | CROP MANAGEMENT | |
| dc.subject | DATOS DE LA INVESTIGACIÓN | |
| dc.subject | RESEARCH DATA | |
| dc.subject | ENSAYOS DE VARIEDADES | |
| dc.subject | VARIETY TRIALS | |
| dc.subject | TOMA DE DECISIONES | |
| dc.subject | DECISION MAKING | |
| dc.subject | AMÉRICA CENTRAL | |
| dc.subject | TRICOT | |
| dc.subject | DATA SYNTHESIS | |
| dc.title | Rank-based data synthesis of common bean on-farm trials across four Central American countries | |
| dc.type | Artículo | |
