Optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to Sclerotinia sclerotiorum on capitula
In sunflower breeding, plant phenotyping of white rot (WR) resistance requires a significant amount of resources. Thus the present study aimed to evaluate the possibility to make a more efficient phenotyping of WR resistance in sunflower hybrids per unit of allocated resources. The Degree of Genetic...
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| Format: | Artículo |
| Language: | Inglés |
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Springer
2025
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| Online Access: | http://hdl.handle.net/20.500.12123/21998 https://link.springer.com/article/10.1007/s10681-025-03479-7 https://doi.org/10.1007/s10681-025-03479-7 |
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| author | Delgado, Santiago Germán Cendoya, Maria Gabriela Castaño, Fernando Daniel |
| author_browse | Castaño, Fernando Daniel Cendoya, Maria Gabriela Delgado, Santiago Germán |
| author_facet | Delgado, Santiago Germán Cendoya, Maria Gabriela Castaño, Fernando Daniel |
| author_sort | Delgado, Santiago Germán |
| collection | INTA Digital |
| description | In sunflower breeding, plant phenotyping of white rot (WR) resistance requires a significant amount of resources. Thus the present study aimed to evaluate the possibility to make a more efficient phenotyping of WR resistance in sunflower hybrids per unit of allocated resources. The Degree of Genetic Determination (DGD) estimated from 37 commercial hybrids evaluated by their relative incubation period (RIP) and relative daily lesion growth (RDLG) for 3 years (y) in field experiments designed with 3 replications (r) and 12 plants/plot (pl/p), i.e. 108 plants/hybrid (pl/h), was compared with DGDs estimated using < 108 pl/h. When using fewer resources, DGD values were estimated with less precision in all year-replication-plant/plot combinations. The bias between the DGD averages estimated and the benchmarked DGD values of 0.78 (RIP) and 0.63 (RDLG) and, consequently, the inaccuracies of such estimations increased gradually. The 3y-2r-6pl/p combination was the level of allocated resources showing a still acceptable relative genotypic variability detected for RIP, given that a 100% probability of the DGD estimated was higher than the proposed threshold (DGD = 0.60) value, although the probability for RDLG was quite lower. That combination also resulted in a not-to-be overlooked gain in relative genotypic variability per unit of allocated resources in relation to that with 108 pl/h. So, the cost associated with resources, such as land, seeds, time, and personnel, allocated to assess WR resistance could be reduced without significantly altering the accuracy and precision of the DGD values estimated respect to the benchmarked ones. |
| format | Artículo |
| id | INTA21998 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA219982025-04-23T10:10:31Z Optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to Sclerotinia sclerotiorum on capitula Delgado, Santiago Germán Cendoya, Maria Gabriela Castaño, Fernando Daniel Girasol Fenotipado Estimación Experimentación en Campo Asignación de Recursos Podredumbres Sunflowers Phenotyping Valuation Field Experimentation Resource Allocation Rots In sunflower breeding, plant phenotyping of white rot (WR) resistance requires a significant amount of resources. Thus the present study aimed to evaluate the possibility to make a more efficient phenotyping of WR resistance in sunflower hybrids per unit of allocated resources. The Degree of Genetic Determination (DGD) estimated from 37 commercial hybrids evaluated by their relative incubation period (RIP) and relative daily lesion growth (RDLG) for 3 years (y) in field experiments designed with 3 replications (r) and 12 plants/plot (pl/p), i.e. 108 plants/hybrid (pl/h), was compared with DGDs estimated using < 108 pl/h. When using fewer resources, DGD values were estimated with less precision in all year-replication-plant/plot combinations. The bias between the DGD averages estimated and the benchmarked DGD values of 0.78 (RIP) and 0.63 (RDLG) and, consequently, the inaccuracies of such estimations increased gradually. The 3y-2r-6pl/p combination was the level of allocated resources showing a still acceptable relative genotypic variability detected for RIP, given that a 100% probability of the DGD estimated was higher than the proposed threshold (DGD = 0.60) value, although the probability for RDLG was quite lower. That combination also resulted in a not-to-be overlooked gain in relative genotypic variability per unit of allocated resources in relation to that with 108 pl/h. So, the cost associated with resources, such as land, seeds, time, and personnel, allocated to assess WR resistance could be reduced without significantly altering the accuracy and precision of the DGD values estimated respect to the benchmarked ones. EEA Balcarce Fil: Delgado, Santiago Germán. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada Balcarce. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina Fil: Cendoya, María Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada Balcarce. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina Fil: Castaño, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce. Unidad Integrada Balcarce. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina 2025-04-23T10:00:35Z 2025-04-23T10:00:35Z 2025-03-11 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/21998 https://link.springer.com/article/10.1007/s10681-025-03479-7 1573-5060 (Online) 0014-2336 (Print) https://doi.org/10.1007/s10681-025-03479-7 eng info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Springer Euphytica 221 : 35 (March 2025) |
| spellingShingle | Girasol Fenotipado Estimación Experimentación en Campo Asignación de Recursos Podredumbres Sunflowers Phenotyping Valuation Field Experimentation Resource Allocation Rots Delgado, Santiago Germán Cendoya, Maria Gabriela Castaño, Fernando Daniel Optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to Sclerotinia sclerotiorum on capitula |
| title | Optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to Sclerotinia sclerotiorum on capitula |
| title_full | Optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to Sclerotinia sclerotiorum on capitula |
| title_fullStr | Optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to Sclerotinia sclerotiorum on capitula |
| title_full_unstemmed | Optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to Sclerotinia sclerotiorum on capitula |
| title_short | Optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to Sclerotinia sclerotiorum on capitula |
| title_sort | optimization of resource allocation in field phenotyping of sunflower for components of partial resistance to sclerotinia sclerotiorum on capitula |
| topic | Girasol Fenotipado Estimación Experimentación en Campo Asignación de Recursos Podredumbres Sunflowers Phenotyping Valuation Field Experimentation Resource Allocation Rots |
| url | http://hdl.handle.net/20.500.12123/21998 https://link.springer.com/article/10.1007/s10681-025-03479-7 https://doi.org/10.1007/s10681-025-03479-7 |
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