Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti)
ABSTRACT The red spider mites are a major biotic limitation to productivity for Brachiaria ( Urochloa spp.) grasses in tropical Eastern Africa, causing severe economic losses mainly in the dry seasons. However, due to the lack of reports of integrated pest management strategies, genetic resistance c...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/176110 |
| _version_ | 1855530990886191104 |
|---|---|
| author | Espitia-Buitrago, Paula Cotes Torres, José Miguel Hernandez, Luis Miguel Cardoso, Juan Andres Chidawanyika, Frank Jauregui, Rosa Noemi |
| author_browse | Cardoso, Juan Andres Chidawanyika, Frank Cotes Torres, José Miguel Espitia-Buitrago, Paula Hernandez, Luis Miguel Jauregui, Rosa Noemi |
| author_facet | Espitia-Buitrago, Paula Cotes Torres, José Miguel Hernandez, Luis Miguel Cardoso, Juan Andres Chidawanyika, Frank Jauregui, Rosa Noemi |
| author_sort | Espitia-Buitrago, Paula |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | ABSTRACT The red spider mites are a major biotic limitation to productivity for Brachiaria ( Urochloa spp.) grasses in tropical Eastern Africa, causing severe economic losses mainly in the dry seasons. However, due to the lack of reports of integrated pest management strategies, genetic resistance can play a crucial role in Brachiaria ‐based livestock systems, minimising the impact of this pest. The objective of this study was to develop and validate a methodology for accurately categorising resistance responses in Urochloa genotypes to identify potential sources of resistance to the Western Kenya red spider mite Oligonychus trichardti (Meyer 1974). Accordingly, 25 genotypes of Urochloa spp. were evaluated under the infestation of O. trichardti . Response variables included mite count and percentage of plant damage 14 days after infestation. Plant damage quantification involved visual assessment using a severity scale (AVR) and two high‐throughput digital image analysis methodologies: one based on the threshold establishment in the RGB colour space (DTR) and another one based on image quantisation using three colour subsets (DQU). A linear regression of these methodologies demonstrated that the DTR methodology is more accurate and has higher concordance with the visual assessments, hence chosen for selecting tolerant genotypes. The genotypes evaluated did not exhibit an antibiotic effect; however, varying levels of tolerance were observed. Ultimately, six tolerant genotypes were identified. CIAT 16125 (cv. Piata) and CIAT 26646 (cv. La Libertad) exhibited the highest levels of tolerance, while CIAT 6426 and CIAT 664 were the most susceptible and are recommended as control candidates for future trials. |
| format | Journal Article |
| id | CGSpace176110 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1761102025-11-11T18:54:49Z Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti) Espitia-Buitrago, Paula Cotes Torres, José Miguel Hernandez, Luis Miguel Cardoso, Juan Andres Chidawanyika, Frank Jauregui, Rosa Noemi image analysis análisis de imágenes plant breeding host plant resistance high-throughput phenotyping fenotipado de alto rendimiento resistencia de la planta huésped fitomejoramiento-mejoramiento genético de plantas plant damage daño vegetal ABSTRACT The red spider mites are a major biotic limitation to productivity for Brachiaria ( Urochloa spp.) grasses in tropical Eastern Africa, causing severe economic losses mainly in the dry seasons. However, due to the lack of reports of integrated pest management strategies, genetic resistance can play a crucial role in Brachiaria ‐based livestock systems, minimising the impact of this pest. The objective of this study was to develop and validate a methodology for accurately categorising resistance responses in Urochloa genotypes to identify potential sources of resistance to the Western Kenya red spider mite Oligonychus trichardti (Meyer 1974). Accordingly, 25 genotypes of Urochloa spp. were evaluated under the infestation of O. trichardti . Response variables included mite count and percentage of plant damage 14 days after infestation. Plant damage quantification involved visual assessment using a severity scale (AVR) and two high‐throughput digital image analysis methodologies: one based on the threshold establishment in the RGB colour space (DTR) and another one based on image quantisation using three colour subsets (DQU). A linear regression of these methodologies demonstrated that the DTR methodology is more accurate and has higher concordance with the visual assessments, hence chosen for selecting tolerant genotypes. The genotypes evaluated did not exhibit an antibiotic effect; however, varying levels of tolerance were observed. Ultimately, six tolerant genotypes were identified. CIAT 16125 (cv. Piata) and CIAT 26646 (cv. La Libertad) exhibited the highest levels of tolerance, while CIAT 6426 and CIAT 664 were the most susceptible and are recommended as control candidates for future trials. 2025-07 2025-08-14T13:50:40Z 2025-08-14T13:50:40Z Journal Article https://hdl.handle.net/10568/176110 en Open Access application/pdf Wiley Espitia-Buitrago, P.; Cotes Torres, J.M.; Hernandez, L.M.; Cardoso, J.A.; Chidawanyika, F.; Jauregui, R.N. (2025) Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti). Grass and Forage Science 80(3): e70007. ISSN: 0142-5242 |
| spellingShingle | image analysis análisis de imágenes plant breeding host plant resistance high-throughput phenotyping fenotipado de alto rendimiento resistencia de la planta huésped fitomejoramiento-mejoramiento genético de plantas plant damage daño vegetal Espitia-Buitrago, Paula Cotes Torres, José Miguel Hernandez, Luis Miguel Cardoso, Juan Andres Chidawanyika, Frank Jauregui, Rosa Noemi Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti) |
| title | Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti) |
| title_full | Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti) |
| title_fullStr | Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti) |
| title_full_unstemmed | Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti) |
| title_short | Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti) |
| title_sort | enhancing phenotyping accuracy for selection of urochloa tolerant genotypes to red spider mite oligonychus trichardti |
| topic | image analysis análisis de imágenes plant breeding host plant resistance high-throughput phenotyping fenotipado de alto rendimiento resistencia de la planta huésped fitomejoramiento-mejoramiento genético de plantas plant damage daño vegetal |
| url | https://hdl.handle.net/10568/176110 |
| work_keys_str_mv | AT espitiabuitragopaula enhancingphenotypingaccuracyforselectionofurochloatolerantgenotypestoredspidermiteoligonychustrichardti AT cotestorresjosemiguel enhancingphenotypingaccuracyforselectionofurochloatolerantgenotypestoredspidermiteoligonychustrichardti AT hernandezluismiguel enhancingphenotypingaccuracyforselectionofurochloatolerantgenotypestoredspidermiteoligonychustrichardti AT cardosojuanandres enhancingphenotypingaccuracyforselectionofurochloatolerantgenotypestoredspidermiteoligonychustrichardti AT chidawanyikafrank enhancingphenotypingaccuracyforselectionofurochloatolerantgenotypestoredspidermiteoligonychustrichardti AT jaureguirosanoemi enhancingphenotypingaccuracyforselectionofurochloatolerantgenotypestoredspidermiteoligonychustrichardti |