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Resumen
In recent years, the application of remote sensing techniques is gaining a growing interest and importance in agriculture. Researchers often combine data from near-infrared and red spectral bands according to their specific objectives. These types of combinations present the disadvantage of lack of sensitivity due to using a single or limited group of bands. In this work on-farm canopy spectral reflectance (CSR) data, composing of ten spectral bands (SBs)
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dc.contributor.author | Arias, Claudia | |
dc.contributor.author | Montero Bulacio, Enrique | |
dc.contributor.author | Rigalli, Nicolás | |
dc.contributor.author | Romagnoli, Martín | |
dc.contributor.author | Curin, Facundo | |
dc.contributor.author | Gonzalez, Fernanda Gabriela | |
dc.contributor.author | Otegui, María Elena | |
dc.contributor.author | Portapila, Margarita | |
dc.date.accessioned | 2021-03-23T11:13:44Z | |
dc.date.available | 2021-03-23T11:13:44Z | |
dc.date.issued | 2021-03 | |
dc.identifier.other | https://doi.org/10.1080/01431161.2021.1875148 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/8955 | |
dc.identifier.uri | https://www.tandfonline.com/doi/abs/10.1080/01431161.2021.1875148 | |
dc.description.abstract | In recent years, the application of remote sensing techniques is gaining a growing interest and importance in agriculture. Researchers often combine data from near-infrared and red spectral bands according to their specific objectives. These types of combinations present the disadvantage of lack of sensitivity due to using a single or limited group of bands. In this work on-farm canopy spectral reflectance (CSR) data, composing of ten spectral bands (SBs) plus four spectral vegetation indices (SVIs), is considered in a joint manner to set up a methodology capable to identify genotype by environment interaction (GxE) in wheat. Spectral data are analysed over five wheat genotypes grown in five different environments. Historically breeders have recognized the potentially negative implications of GxE in selection and cultivar deployment and have focused on developing tools and resources to quantify it. We propose to perform a statistical batch processing, applying two-way analysis of variance to multiple spectral data, with genotype and environment as fixed factors. Results prove that this methodology performs well in both directions, capturing differences between genotypes within a single environment, and between environments for a single genotype, representing a step forward to converting spectral data into knowledge for the subject of GxE. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | Taylor & Francis | es_AR |
dc.rights | info:eu-repo/semantics/restrictedAccess | es_AR |
dc.source | International Journal of Remote Sensing 42 (10) : 3660–3680, (March 2021) | es_AR |
dc.subject | Trigo | es_AR |
dc.subject | Wheat | eng |
dc.subject | Genotipos | es_AR |
dc.subject | Genotypes | eng |
dc.subject | Interacción Genotipo Ambiente | es_AR |
dc.subject | Genotype Environment Interaction | eng |
dc.subject.other | Pergamino, Buenos Aires | es_AR |
dc.title | Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.description.origen | EEA Pergamino | es_AR |
dc.description.fil | Fil: Arias, Claudia. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina | es_AR |
dc.description.fil | Fil: Montero Bulacio, Enrique. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina | es_AR |
dc.description.fil | Fil: Rigalli, Nicolás. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina | es_AR |
dc.description.fil | Fil: Romagnoli, Martín. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina | es_AR |
dc.description.fil | Fil: Curin, Facundo. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET-UNNOBA Pergamino); Argentina | es_AR |
dc.description.fil | Fil: González, Fernanda G. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires (CITNOBA, CONICET- UNNOBA Pergamino); Argentina | es_AR |
dc.description.fil | Fil: González, Fernanda G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Ecofisiología; Argentina | es_AR |
dc.description.fil | Fil: Otegui, María Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. | es_AR |
dc.description.fil | Fil: Otegui, María Elena. Universidad de Buenos Aires. Facultad de Agronomía; Argentina | es_AR |
dc.description.fil | Fil: Otegui, María Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Ecofisiología; Argentina | es_AR |
dc.description.fil | Fil: Portapila, Margarita. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina | es_AR |
dc.subtype | cientifico |
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