Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids

American spittlebug species (Hemiptera: Cercopidae) are major pests in Urochloa humidicola (syn. Brachiaria humidicola) cultivars in the neotropics. The U. humidicola breeding program of the Alliance Bioversity-CIAT aims to increase tolerance to spittlebugs. To develop tolerant U. humidicola genotyp...

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Autores principales: Hernández, Luis Miguel, Espitia, Paula A., Cardoso Arango, Juan Andrés
Formato: Journal Article
Lenguaje:Inglés
Publicado: International Center for Tropical Agriculture 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/125325
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author Hernández, Luis Miguel
Espitia, Paula A.
Cardoso Arango, Juan Andrés
author_browse Cardoso Arango, Juan Andrés
Espitia, Paula A.
Hernández, Luis Miguel
author_facet Hernández, Luis Miguel
Espitia, Paula A.
Cardoso Arango, Juan Andrés
author_sort Hernández, Luis Miguel
collection Repository of Agricultural Research Outputs (CGSpace)
description American spittlebug species (Hemiptera: Cercopidae) are major pests in Urochloa humidicola (syn. Brachiaria humidicola) cultivars in the neotropics. The U. humidicola breeding program of the Alliance Bioversity-CIAT aims to increase tolerance to spittlebugs. To develop tolerant U. humidicola genotypes, adequate screening methods are needed. Currently, visual scores of plant damage by spittlebugs is the standard method to screen for variation in plant tolerance. However, visual scoring is prone to human bias, is of medium throughput and relies on the expertise of well-trained personnel. In this study, estimations of plant damage from SPAD chlorophyll meter measurements and digital images with visual scoring from an inexpert evaluator and visual scoring from an expert were compared. This information should inform if different methods could be implemented in the U. humidicola breeding program. Time needed to evaluate damage was recorded for each method. Lin’s correlation coefficient, Pearson’s correlation coefficient and broad sense heritability values were calculated. Damage estimated from digital images showed the highest throughput (twice as fast as visual scoring from an expert), high correlations with visual scoring (r>0.80, P<0.0001) and heritability values for plant damage as good or better (>0.7) than those obtained by visual scoring from an expert. Results indicate that digital imaging could improve the efficiency of phenotyping in breeding for increased tolerance to spittlebugs in U. humidicola.
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spelling CGSpace1253252025-11-11T17:45:02Z Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids Hernández, Luis Miguel Espitia, Paula A. Cardoso Arango, Juan Andrés cercopidae pest resistance digital image processing visual inspection high-throughput phenotyping host plant resistance sensors resistencia a las plagas procesamiento digital de imágenes examen visual American spittlebug species (Hemiptera: Cercopidae) are major pests in Urochloa humidicola (syn. Brachiaria humidicola) cultivars in the neotropics. The U. humidicola breeding program of the Alliance Bioversity-CIAT aims to increase tolerance to spittlebugs. To develop tolerant U. humidicola genotypes, adequate screening methods are needed. Currently, visual scores of plant damage by spittlebugs is the standard method to screen for variation in plant tolerance. However, visual scoring is prone to human bias, is of medium throughput and relies on the expertise of well-trained personnel. In this study, estimations of plant damage from SPAD chlorophyll meter measurements and digital images with visual scoring from an inexpert evaluator and visual scoring from an expert were compared. This information should inform if different methods could be implemented in the U. humidicola breeding program. Time needed to evaluate damage was recorded for each method. Lin’s correlation coefficient, Pearson’s correlation coefficient and broad sense heritability values were calculated. Damage estimated from digital images showed the highest throughput (twice as fast as visual scoring from an expert), high correlations with visual scoring (r>0.80, P<0.0001) and heritability values for plant damage as good or better (>0.7) than those obtained by visual scoring from an expert. Results indicate that digital imaging could improve the efficiency of phenotyping in breeding for increased tolerance to spittlebugs in U. humidicola. 2022-09-30 2022-11-03T10:33:56Z 2022-11-03T10:33:56Z Journal Article https://hdl.handle.net/10568/125325 en Open Access application/pdf International Center for Tropical Agriculture Hernández, L.; Espitia, P.; Cardoso, J.A. (2022) Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids. Tropical Grasslands-Forrajes Tropicales 10(3) p. 271-279. ISSN: 2346-3775
spellingShingle cercopidae
pest resistance
digital image processing
visual inspection
high-throughput phenotyping
host plant resistance
sensors
resistencia a las plagas
procesamiento digital de imágenes
examen visual
Hernández, Luis Miguel
Espitia, Paula A.
Cardoso Arango, Juan Andrés
Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids
title Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids
title_full Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids
title_fullStr Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids
title_full_unstemmed Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids
title_short Digital imaging outperforms traditional scoring methods for spittlebug tolerance in Urochloa humidicola hybrids
title_sort digital imaging outperforms traditional scoring methods for spittlebug tolerance in urochloa humidicola hybrids
topic cercopidae
pest resistance
digital image processing
visual inspection
high-throughput phenotyping
host plant resistance
sensors
resistencia a las plagas
procesamiento digital de imágenes
examen visual
url https://hdl.handle.net/10568/125325
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