Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat
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...
| Main Authors: | , , , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Taylor & Francis
2021
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/8955 https://www.tandfonline.com/doi/abs/10.1080/01431161.2021.1875148 https://doi.org/10.1080/01431161.2021.1875148 |
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| author | Arias, Claudia Montero Bulacio, Enrique Rigalli, Nicolás Romagnoli, Martín Curin, Facundo Gonzalez, Fernanda Gabriela Otegui, María Elena Portapila, Margarita |
| author_browse | Arias, Claudia Curin, Facundo Gonzalez, Fernanda Gabriela Montero Bulacio, Enrique Otegui, María Elena Portapila, Margarita Rigalli, Nicolás Romagnoli, Martín |
| author_facet | Arias, Claudia Montero Bulacio, Enrique Rigalli, Nicolás Romagnoli, Martín Curin, Facundo Gonzalez, Fernanda Gabriela Otegui, María Elena Portapila, Margarita |
| author_sort | Arias, Claudia |
| collection | INTA Digital |
| description | 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. |
| format | Artículo |
| id | INTA8955 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | dspace |
| spelling | INTA89552021-03-23T11:25:20Z Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat Arias, Claudia Montero Bulacio, Enrique Rigalli, Nicolás Romagnoli, Martín Curin, Facundo Gonzalez, Fernanda Gabriela Otegui, María Elena Portapila, Margarita Trigo Genotipos Interacción Genotipo Ambiente Wheat Genotypes Genotype Environment Interaction Pergamino, Buenos Aires 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. EEA Pergamino Fil: Arias, Claudia. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina Fil: Montero Bulacio, Enrique. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina Fil: Rigalli, Nicolás. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina Fil: Romagnoli, Martín. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina 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 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 Fil: González, Fernanda G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Ecofisiología; Argentina Fil: Otegui, María Elena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Otegui, María Elena. Universidad de Buenos Aires. Facultad de Agronomía; Argentina Fil: Otegui, María Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Ecofisiología; Argentina Fil: Portapila, Margarita. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas (CIFASIS-CONICET, ROSARIO); Argentina 2021-03-23T11:13:44Z 2021-03-23T11:13:44Z 2021-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/8955 https://www.tandfonline.com/doi/abs/10.1080/01431161.2021.1875148 https://doi.org/10.1080/01431161.2021.1875148 eng info:eu-repo/semantics/restrictedAccess application/pdf Taylor & Francis International Journal of Remote Sensing 42 (10) : 3660–3680, (March 2021) |
| spellingShingle | Trigo Genotipos Interacción Genotipo Ambiente Wheat Genotypes Genotype Environment Interaction Pergamino, Buenos Aires Arias, Claudia Montero Bulacio, Enrique Rigalli, Nicolás Romagnoli, Martín Curin, Facundo Gonzalez, Fernanda Gabriela Otegui, María Elena Portapila, Margarita Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat |
| title | Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat |
| title_full | Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat |
| title_fullStr | Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat |
| title_full_unstemmed | Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat |
| title_short | Ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat |
| title_sort | ability of in situ canopy spectroscopy to differentiate genotype by environment interaction in wheat |
| topic | Trigo Genotipos Interacción Genotipo Ambiente Wheat Genotypes Genotype Environment Interaction Pergamino, Buenos Aires |
| url | http://hdl.handle.net/20.500.12123/8955 https://www.tandfonline.com/doi/abs/10.1080/01431161.2021.1875148 https://doi.org/10.1080/01431161.2021.1875148 |
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