Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis

Cotton growing regions in South America are affected by Colletotrichum gossypii var. cephalosporioides (Cgc). The most severe epidemics provokes considerable yield reductions linked to meristem necrosis, oversprouting, excessive branching and stunting (Figure 1). The Sinu Valle...

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Autores principales:	Burbano Figueroa, Oscar, Moreno Moran, Milena, Salazar Pertuz, Keyra, Osorio Almanza, Lorena, Montes Mercado, Karen, Mosquera, Everto, Vergara, Enrique, Rodriguez, Maria del Valle
Formato:	article
Lenguaje:	Inglés
Publicado:	ResearchGate 2025
Materias:	Enfermedades de las plantas - H20 Algodón Ramularia Control de enfermedades Colletotrichum Transitorios http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_6444 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_1761
Acceso en línea:	https://www.researchgate.net/publication/341734733_Identification_of_resistance_to_ramulosis_caused_by_Colletotrichum_gossypii_var_cephalosporioides_in_cotton_advanced_breeding_lines_and_monitoring_of_ramulosis_disease_by_RGB-image_analysis http://hdl.handle.net/20.500.12324/40671

id	RepoAGROSAVIA40671
record_format	dspace
institution	Corporación Colombiana de Investigación Agropecuaria
collection	Repositorio AGROSAVIA
language	Inglés
topic	Enfermedades de las plantas - H20 Algodón Ramularia Control de enfermedades Colletotrichum Transitorios http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_6444 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_1761
spellingShingle	Enfermedades de las plantas - H20 Algodón Ramularia Control de enfermedades Colletotrichum Transitorios http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_6444 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_1761 Burbano Figueroa, Oscar Moreno Moran, Milena Salazar Pertuz, Keyra Osorio Almanza, Lorena Montes Mercado, Karen Mosquera, Everto Vergara, Enrique Rodriguez, Maria del Valle Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis
description	Cotton growing regions in South America are affected by Colletotrichum gossypii var. cephalosporioides (Cgc). The most severe epidemics provokes considerable yield reductions linked to meristem necrosis, oversprouting, excessive branching and stunting (Figure 1). The Sinu Valley is a major cotton producer in Colombia and is heavily affected by this disease. Rainfall was identified as the main driver of ramulosis development in the Sinu Valley prevailing in crops planted at the beginning of the main rainy season (Figure 2). Fifty five advanced breeding lines (ABLs) were assessed by ramulosis field resistance. Nine ABLs exhibited high levels of partial resistance (< 10% of plants exhibiting oversprouting). With the aim to optimize disease assessing accuracy and breeding efforts for ramulosis resistance, we had evaluated the use of red-green-blue (RGB) based indices for automated assessment of ramulosis disease. Eleven cultivars exhibiting contrasting level of ramulosis resistance were grown and photographed at different phenological stages. RGB indices extracted by Breedpix software from these plot images were compared with visual assessment of plant disease severity. The RGB indices Hue, Saturation, b, and v measured ten weeks after planting (boll opening) were correlated with accumulated disease severity and oversprouting (estimated as the area under the disease progress stairs). Oversprouting exhibited the higher correlation coefficients (r = 0.60, -0.65, -0.65, -0.60 and 0.54, P < 0.001). Additionally, destructive sampling across phenological development showed that green area (GA) has a positive correlation with total fresh biomass, leaf area index, leaf fresh biomass and green cover (GC) (r = 0.65, 0.60, 0.70 and 0.95, P < 0.001). RGB-based indices are appropriate predictors of cotton growth and ramulosis severity and a cost effective tool for cotton phenotyping based on automation of RGB-images assessment and affordable cost of RGB-cameras
format	article
author	Burbano Figueroa, Oscar Moreno Moran, Milena Salazar Pertuz, Keyra Osorio Almanza, Lorena Montes Mercado, Karen Mosquera, Everto Vergara, Enrique Rodriguez, Maria del Valle
author_facet	Burbano Figueroa, Oscar Moreno Moran, Milena Salazar Pertuz, Keyra Osorio Almanza, Lorena Montes Mercado, Karen Mosquera, Everto Vergara, Enrique Rodriguez, Maria del Valle
author_sort	Burbano Figueroa, Oscar
title	Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis
title_short	Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis
title_full	Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis
title_fullStr	Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis
title_full_unstemmed	Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis
title_sort	identification of resistance to ramulosis caused by colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by rgb-image analysis
publisher	ResearchGate
publishDate	2025
url	https://www.researchgate.net/publication/341734733_Identification_of_resistance_to_ramulosis_caused_by_Colletotrichum_gossypii_var_cephalosporioides_in_cotton_advanced_breeding_lines_and_monitoring_of_ramulosis_disease_by_RGB-image_analysis http://hdl.handle.net/20.500.12324/40671
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spelling	RepoAGROSAVIA406712025-05-22T03:01:19Z Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis Burbano Figueroa, Oscar Moreno Moran, Milena Salazar Pertuz, Keyra Osorio Almanza, Lorena Montes Mercado, Karen Mosquera, Everto Vergara, Enrique Rodriguez, Maria del Valle Enfermedades de las plantas - H20 Algodón Ramularia Control de enfermedades Colletotrichum Transitorios http://aims.fao.org/aos/agrovoc/c_1926 http://aims.fao.org/aos/agrovoc/c_6444 http://aims.fao.org/aos/agrovoc/c_2327 http://aims.fao.org/aos/agrovoc/c_1761 Cotton growing regions in South America are affected by Colletotrichum gossypii var. cephalosporioides (Cgc). The most severe epidemics provokes considerable yield reductions linked to meristem necrosis, oversprouting, excessive branching and stunting (Figure 1). The Sinu Valley is a major cotton producer in Colombia and is heavily affected by this disease. Rainfall was identified as the main driver of ramulosis development in the Sinu Valley prevailing in crops planted at the beginning of the main rainy season (Figure 2). Fifty five advanced breeding lines (ABLs) were assessed by ramulosis field resistance. Nine ABLs exhibited high levels of partial resistance (< 10% of plants exhibiting oversprouting). With the aim to optimize disease assessing accuracy and breeding efforts for ramulosis resistance, we had evaluated the use of red-green-blue (RGB) based indices for automated assessment of ramulosis disease. Eleven cultivars exhibiting contrasting level of ramulosis resistance were grown and photographed at different phenological stages. RGB indices extracted by Breedpix software from these plot images were compared with visual assessment of plant disease severity. The RGB indices Hue, Saturation, b, and v measured ten weeks after planting (boll opening) were correlated with accumulated disease severity and oversprouting (estimated as the area under the disease progress stairs). Oversprouting exhibited the higher correlation coefficients (r = 0.60, -0.65, -0.65, -0.60 and 0.54, P < 0.001). Additionally, destructive sampling across phenological development showed that green area (GA) has a positive correlation with total fresh biomass, leaf area index, leaf fresh biomass and green cover (GC) (r = 0.65, 0.60, 0.70 and 0.95, P < 0.001). RGB-based indices are appropriate predictors of cotton growth and ramulosis severity and a cost effective tool for cotton phenotyping based on automation of RGB-images assessment and affordable cost of RGB-cameras Algodón-Gossypium herbaceum 2025-02-12T16:53:45Z 2025-02-12T16:53:45Z 2016-01 2016 article Artículo científico http://purl.org/coar/resource_type/c_2df8fbb1 info:eu-repo/semantics/article https://purl.org/redcol/resource_type/ART http://purl.org/coar/version/c_970fb48d4fbd8a85 https://www.researchgate.net/publication/341734733_Identification_of_resistance_to_ramulosis_caused_by_Colletotrichum_gossypii_var_cephalosporioides_in_cotton_advanced_breeding_lines_and_monitoring_of_ramulosis_disease_by_RGB-image_analysis http://hdl.handle.net/20.500.12324/40671 10.13140/RG.2.2.25759.79525 reponame:Biblioteca Digital Agropecuaria de Colombia instname:Corporación colombiana de investigación agropecuaria AGROSAVIA eng Cimmyt 1 1 Casadesús, J. and Villegas, D. 2015. Simple Digital Photography for Assessing Biomass and Leaf Area Index in Cereals. Bio Protoc 5(11). Zhou, B., Elazab, A., Bort, J., Vergara, O., Serret, M.D. and Araus, J.L. 2015. Low-cost assessment of wheat resistance to yellow rust through conventional RGB images. Computers and Electronics in Agriculture 116, pp. 20–29. Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf application/pdf Colombia ResearchGate CIMMYT; (2016): CIMMYT (Ene.);p. 1-1.

Identification of resistance to ramulosis caused by Colletotrichum gossypii var. cephalosporioides in cotton advanced breeding lines and monitoring of ramulosis disease by RGB-image analysis

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