CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA

Autores
Scarpin, Gonzalo Joel; Hand, Lavesta C.; Roberts, Phillip M.; Bhattarai, Anish; Bastos, Leonardo M.
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Cotton (Gossypium hirsutum L.) is a critical crop for Georgia's agricultural economy, with variety selection being a critical decision for farmers due to its impact on yield and fiber quality. To support this process, we developed an interactive variety recommender tool using data from the University of Georgia (UGA) On-Farm Cotton Variety Evaluation Program, which includes 117 trials conducted across 35 sites over five years (2020–2024) under both irrigated and dryland conditions. This application note presents a methodological framework for variety recommendations, which integrates advanced analytical tools to evaluate and compare genotype performance across diverse environments. The dashboard enables users to interactively explore the dataset through a range of visualizations, including county-specific information, variety recommender, trait comparisons, state-level performance, and environmental ranking. A built-in variety recommender tool ranks top-performing genotypes based on mean relative performance. Additionally, the dashboard provides detailed trial management information to support comprehensive decision-making. By allowing comparisons across yield, ginning turnout, loan value and fiber quality metrics, the platform assists farmers, county agents, and consultants in optimizing variety selection in Georgia. While the results reflect past performance and must be interpreted in the context of local agronomic and technological factors, the tool effectively translates complex multi-environment trial data into actionable insights. Finally, it aims to enhance both productivity and sustainability in cotton production across Georgia, U.S. through informed, data-driven decision-making.
EEA Reconquista
Fil: Scarpin, Gonzalo Joel. University of Georgia. Department of Crop and Soil Sciences; Estados Unidos
Fil: Scarpin, Gonzalo Joel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Reconquista; Argentina
Fil: Hand, Lavesta C. University of Georgia. Department of Crop and Soil Sciences; Estados Unidos
Fil: Roberts, Phillip M. University of Georgia. Department of Entomology; Estados Unidos
Fil: Bhattarai, Anish. University of Georgia. Department of Crop and Soil Sciences; Estados Unidos
Fil: Bastos, Leonardo M. University of Georgia. Department of Crop and Soil Sciences; Estados Unidos
Fuente
European Journal of Agronomy 177 : 128090. (June 2026)
Materia
Algodón
Variedades
Genotipos
Factores Ambientales
Georgia (EUA)
Toma de Decisiones
Cotton
Gossypium hirsutum
Varieties
Genotypes
Environmental Factors
Georgia (USA)
Decision-making
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/25518
Acceder
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oai_identifier_str oai:localhost:20.500.12123/25518
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network_name_str INTA Digital (INTA)
spelling CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USAScarpin, Gonzalo JoelHand, Lavesta C.Roberts, Phillip M.Bhattarai, AnishBastos, Leonardo M.AlgodónVariedadesGenotiposFactores AmbientalesGeorgia (EUA)Toma de DecisionesCottonGossypium hirsutumVarietiesGenotypesEnvironmental FactorsGeorgia (USA)Decision-makingCotton (Gossypium hirsutum L.) is a critical crop for Georgia's agricultural economy, with variety selection being a critical decision for farmers due to its impact on yield and fiber quality. To support this process, we developed an interactive variety recommender tool using data from the University of Georgia (UGA) On-Farm Cotton Variety Evaluation Program, which includes 117 trials conducted across 35 sites over five years (2020–2024) under both irrigated and dryland conditions. This application note presents a methodological framework for variety recommendations, which integrates advanced analytical tools to evaluate and compare genotype performance across diverse environments. The dashboard enables users to interactively explore the dataset through a range of visualizations, including county-specific information, variety recommender, trait comparisons, state-level performance, and environmental ranking. A built-in variety recommender tool ranks top-performing genotypes based on mean relative performance. Additionally, the dashboard provides detailed trial management information to support comprehensive decision-making. By allowing comparisons across yield, ginning turnout, loan value and fiber quality metrics, the platform assists farmers, county agents, and consultants in optimizing variety selection in Georgia. While the results reflect past performance and must be interpreted in the context of local agronomic and technological factors, the tool effectively translates complex multi-environment trial data into actionable insights. Finally, it aims to enhance both productivity and sustainability in cotton production across Georgia, U.S. through informed, data-driven decision-making.EEA ReconquistaFil: Scarpin, Gonzalo Joel. University of Georgia. Department of Crop and Soil Sciences; Estados UnidosFil: Scarpin, Gonzalo Joel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Reconquista; ArgentinaFil: Hand, Lavesta C. University of Georgia. Department of Crop and Soil Sciences; Estados UnidosFil: Roberts, Phillip M. University of Georgia. Department of Entomology; Estados UnidosFil: Bhattarai, Anish. University of Georgia. Department of Crop and Soil Sciences; Estados UnidosFil: Bastos, Leonardo M. University of Georgia. Department of Crop and Soil Sciences; Estados UnidosElsevier2026-03-19T10:39:06Z2026-03-19T10:39:06Z2026-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/25518https://www.sciencedirect.com/science/article/pii/S11610301260010971161-03011873-7331https://doi.org/10.1016/j.eja.2026.128090European Journal of Agronomy 177 : 128090. (June 2026)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengGeorgia .......... (state) (World, North and Central America, United States)7007248info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-03-26T11:25:30Zoai:localhost:20.500.12123/25518instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-03-26 11:25:31.201INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA
title CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA
spellingShingle CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA
Scarpin, Gonzalo Joel
Algodón
Variedades
Genotipos
Factores Ambientales
Georgia (EUA)
Toma de Decisiones
Cotton
Gossypium hirsutum
Varieties
Genotypes
Environmental Factors
Georgia (USA)
Decision-making
title_short CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA
title_full CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA
title_fullStr CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA
title_full_unstemmed CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA
title_sort CottonVaRx: A cotton variety recommender dashboard use case from Georgia, USA
dc.creator.none.fl_str_mv Scarpin, Gonzalo Joel
Hand, Lavesta C.
Roberts, Phillip M.
Bhattarai, Anish
Bastos, Leonardo M.
author Scarpin, Gonzalo Joel
author_facet Scarpin, Gonzalo Joel
Hand, Lavesta C.
Roberts, Phillip M.
Bhattarai, Anish
Bastos, Leonardo M.
author_role author
author2 Hand, Lavesta C.
Roberts, Phillip M.
Bhattarai, Anish
Bastos, Leonardo M.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Algodón
Variedades
Genotipos
Factores Ambientales
Georgia (EUA)
Toma de Decisiones
Cotton
Gossypium hirsutum
Varieties
Genotypes
Environmental Factors
Georgia (USA)
Decision-making
topic Algodón
Variedades
Genotipos
Factores Ambientales
Georgia (EUA)
Toma de Decisiones
Cotton
Gossypium hirsutum
Varieties
Genotypes
Environmental Factors
Georgia (USA)
Decision-making
dc.description.none.fl_txt_mv Cotton (Gossypium hirsutum L.) is a critical crop for Georgia's agricultural economy, with variety selection being a critical decision for farmers due to its impact on yield and fiber quality. To support this process, we developed an interactive variety recommender tool using data from the University of Georgia (UGA) On-Farm Cotton Variety Evaluation Program, which includes 117 trials conducted across 35 sites over five years (2020–2024) under both irrigated and dryland conditions. This application note presents a methodological framework for variety recommendations, which integrates advanced analytical tools to evaluate and compare genotype performance across diverse environments. The dashboard enables users to interactively explore the dataset through a range of visualizations, including county-specific information, variety recommender, trait comparisons, state-level performance, and environmental ranking. A built-in variety recommender tool ranks top-performing genotypes based on mean relative performance. Additionally, the dashboard provides detailed trial management information to support comprehensive decision-making. By allowing comparisons across yield, ginning turnout, loan value and fiber quality metrics, the platform assists farmers, county agents, and consultants in optimizing variety selection in Georgia. While the results reflect past performance and must be interpreted in the context of local agronomic and technological factors, the tool effectively translates complex multi-environment trial data into actionable insights. Finally, it aims to enhance both productivity and sustainability in cotton production across Georgia, U.S. through informed, data-driven decision-making.
EEA Reconquista
Fil: Scarpin, Gonzalo Joel. University of Georgia. Department of Crop and Soil Sciences; Estados Unidos
Fil: Scarpin, Gonzalo Joel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Reconquista; Argentina
Fil: Hand, Lavesta C. University of Georgia. Department of Crop and Soil Sciences; Estados Unidos
Fil: Roberts, Phillip M. University of Georgia. Department of Entomology; Estados Unidos
Fil: Bhattarai, Anish. University of Georgia. Department of Crop and Soil Sciences; Estados Unidos
Fil: Bastos, Leonardo M. University of Georgia. Department of Crop and Soil Sciences; Estados Unidos
description Cotton (Gossypium hirsutum L.) is a critical crop for Georgia's agricultural economy, with variety selection being a critical decision for farmers due to its impact on yield and fiber quality. To support this process, we developed an interactive variety recommender tool using data from the University of Georgia (UGA) On-Farm Cotton Variety Evaluation Program, which includes 117 trials conducted across 35 sites over five years (2020–2024) under both irrigated and dryland conditions. This application note presents a methodological framework for variety recommendations, which integrates advanced analytical tools to evaluate and compare genotype performance across diverse environments. The dashboard enables users to interactively explore the dataset through a range of visualizations, including county-specific information, variety recommender, trait comparisons, state-level performance, and environmental ranking. A built-in variety recommender tool ranks top-performing genotypes based on mean relative performance. Additionally, the dashboard provides detailed trial management information to support comprehensive decision-making. By allowing comparisons across yield, ginning turnout, loan value and fiber quality metrics, the platform assists farmers, county agents, and consultants in optimizing variety selection in Georgia. While the results reflect past performance and must be interpreted in the context of local agronomic and technological factors, the tool effectively translates complex multi-environment trial data into actionable insights. Finally, it aims to enhance both productivity and sustainability in cotton production across Georgia, U.S. through informed, data-driven decision-making.
publishDate 2026
dc.date.none.fl_str_mv 2026-03-19T10:39:06Z
2026-03-19T10:39:06Z
2026-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/25518
https://www.sciencedirect.com/science/article/pii/S1161030126001097
1161-0301
1873-7331
https://doi.org/10.1016/j.eja.2026.128090
url http://hdl.handle.net/20.500.12123/25518
https://www.sciencedirect.com/science/article/pii/S1161030126001097
https://doi.org/10.1016/j.eja.2026.128090
identifier_str_mv 1161-0301
1873-7331
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Georgia .......... (state) (World, North and Central America, United States)
7007248
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv European Journal of Agronomy 177 : 128090. (June 2026)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.977003

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