Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies
Avocado crop (Persea americana Mill.) is of great commercial importance due to its high profitability. However, it is being affected by various diseases and pests that affect yield and reduce fruit quality. The aim of this research was to develop methodologies for the evaluation of avocado plantatio...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Universidad de Concepción
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.12955/2078 https://doi.org/10.29393/CHJAA38-25GTER10025 |
| _version_ | 1855490608718675968 |
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| author | Chumbimune Vivanco, Sheyla Yanett Cárdenas Rengifo, Gloria Patricia Saravia Navarro, David Valqui Valqui, Lamberto Salazar Coronel, Wilian Arbizu Berrocal, Carlos Irvin |
| author_browse | Arbizu Berrocal, Carlos Irvin Chumbimune Vivanco, Sheyla Yanett Cárdenas Rengifo, Gloria Patricia Salazar Coronel, Wilian Saravia Navarro, David Valqui Valqui, Lamberto |
| author_facet | Chumbimune Vivanco, Sheyla Yanett Cárdenas Rengifo, Gloria Patricia Saravia Navarro, David Valqui Valqui, Lamberto Salazar Coronel, Wilian Arbizu Berrocal, Carlos Irvin |
| author_sort | Chumbimune Vivanco, Sheyla Yanett |
| collection | Repositorio INIA |
| description | Avocado crop (Persea americana Mill.) is of great commercial importance due to its high profitability. However, it is being affected by various diseases and pests that affect yield and reduce fruit quality. The aim of this research was to develop methodologies for the evaluation of avocado plantations using different non-destructive technologies for rapid phenotyping and early detection of the incidence of diseases or damage due to stress in the stem. A plot of 0.7 ha. was evaluated, with a total of 44 individuals using Field-Map technology (dasometric and morphological characterization), RGB-multispectral images from Remotely Piloted Aircraft System (RPAS) (rapid phenotyping), while 15 individuals were evaluated using tomography (assessment of the internal state of the stem). The results with tomography indicated that there is a tree with wood rot of 14% with a lower acoustic speed with respect to the other trees evaluated. A high correlation was observed between the dasometric variables (r-Pearson from 0.63 to 0.98) estimated with Field-Map [crown base height, crown projection (m2) and total height] and with RPAS (height, perimeter and area). The vegetation indices do not have a direct correlation with the dasometric variables; five of the indices have a high contribution to variability except for the Normalized Difference Red Edge (NDRE). It can be concluded that the technologies used in this study would help to perform evaluations with a greater number of reliable and precise data with respect to the information obtained in a traditional way, while they can be replicated in commercial plots or research studies of different perennial crops, generating useful information for management decisions and crop evaluation. |
| format | Artículo |
| id | INIA2078 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Universidad de Concepción |
| publisherStr | Universidad de Concepción |
| record_format | dspace |
| spelling | INIA20782024-12-12T16:46:22Z Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies Chumbimune Vivanco, Sheyla Yanett Cárdenas Rengifo, Gloria Patricia Saravia Navarro, David Valqui Valqui, Lamberto Salazar Coronel, Wilian Arbizu Berrocal, Carlos Irvin Field-Map Remotely Piloted Aircraft System Tomography Phenotyping Avocado (Persea americana Mill.) https://purl.org/pe-repo/ocde/ford#4.04.00 Avocados Persea americana Phenotyping Vegetation index Avocado crop (Persea americana Mill.) is of great commercial importance due to its high profitability. However, it is being affected by various diseases and pests that affect yield and reduce fruit quality. The aim of this research was to develop methodologies for the evaluation of avocado plantations using different non-destructive technologies for rapid phenotyping and early detection of the incidence of diseases or damage due to stress in the stem. A plot of 0.7 ha. was evaluated, with a total of 44 individuals using Field-Map technology (dasometric and morphological characterization), RGB-multispectral images from Remotely Piloted Aircraft System (RPAS) (rapid phenotyping), while 15 individuals were evaluated using tomography (assessment of the internal state of the stem). The results with tomography indicated that there is a tree with wood rot of 14% with a lower acoustic speed with respect to the other trees evaluated. A high correlation was observed between the dasometric variables (r-Pearson from 0.63 to 0.98) estimated with Field-Map [crown base height, crown projection (m2) and total height] and with RPAS (height, perimeter and area). The vegetation indices do not have a direct correlation with the dasometric variables; five of the indices have a high contribution to variability except for the Normalized Difference Red Edge (NDRE). It can be concluded that the technologies used in this study would help to perform evaluations with a greater number of reliable and precise data with respect to the information obtained in a traditional way, while they can be replicated in commercial plots or research studies of different perennial crops, generating useful information for management decisions and crop evaluation. 2023-02-17T16:27:10Z 2023-02-17T16:27:10Z 2022-12-27 info:eu-repo/semantics/article Chumbimune, S., Cárdenas, G.; Saravia, D.; Valqui, L.; Salazar, W. & Arbizu, C. (2022). Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies. Chilean Journal of Agricultural & Animal Sciences, 38(3), 259-273. doi: 10.20944/preprints202205.0231.v1 0719-3890 https://hdl.handle.net/20.500.12955/2078 https://doi.org/10.29393/CHJAA38-25GTER10025 eng urn:issn:0719-3890 Chilean Journal of Agricultural & Animal Sciences info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf application/pdf Universidad de Concepción PE Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Field-Map Remotely Piloted Aircraft System Tomography Phenotyping Avocado (Persea americana Mill.) https://purl.org/pe-repo/ocde/ford#4.04.00 Avocados Persea americana Phenotyping Vegetation index Chumbimune Vivanco, Sheyla Yanett Cárdenas Rengifo, Gloria Patricia Saravia Navarro, David Valqui Valqui, Lamberto Salazar Coronel, Wilian Arbizu Berrocal, Carlos Irvin Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies |
| title | Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies |
| title_full | Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies |
| title_fullStr | Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies |
| title_full_unstemmed | Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies |
| title_short | Methodology for avocado (Persea americana Mill.) orchard evaluation using different measurement technologies |
| title_sort | methodology for avocado persea americana mill orchard evaluation using different measurement technologies |
| topic | Field-Map Remotely Piloted Aircraft System Tomography Phenotyping Avocado (Persea americana Mill.) https://purl.org/pe-repo/ocde/ford#4.04.00 Avocados Persea americana Phenotyping Vegetation index |
| url | https://hdl.handle.net/20.500.12955/2078 https://doi.org/10.29393/CHJAA38-25GTER10025 |
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