Geostatistical Methods to Build Citrus Cross-Pollination RiskMaps
Valencian citriculture is oriented towards fresh production, which requires fruits with few seeds or seedless fruits. Consequently, parthenocarpic and self-incompatible varieties are mainly cultivated. However, some mandarin varieties, under favorable circumstances, induce seed formation in other ma...
| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
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MDPI
2022
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/8449 https://www.mdpi.com/2073-4395/12/11/2673 |
| _version_ | 1855032792659787776 |
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| author | Moltó, Enrique Orts, Carmen Pardo, José Izquierdo-Sanz, Héctor |
| author_browse | Izquierdo-Sanz, Héctor Moltó, Enrique Orts, Carmen Pardo, José |
| author_facet | Moltó, Enrique Orts, Carmen Pardo, José Izquierdo-Sanz, Héctor |
| author_sort | Moltó, Enrique |
| collection | ReDivia |
| description | Valencian citriculture is oriented towards fresh production, which requires fruits with few seeds or seedless fruits. Consequently, parthenocarpic and self-incompatible varieties are mainly cultivated. However, some mandarin varieties, under favorable circumstances, induce seed formation in other mandarins by cross-pollination. This phenomenon depends on the germination capacity of the pollen of the pollinating variety, the number of ovules of the pollinated variety, the distance between them, and the abundance of pollinating insects. Previous studies in Instituto Valenciano de Investigaciones Agrarias (IVIA) have determined the ability to pollinate and be pollinated by all commercial varieties in Europe. Moreover, the Regional Government, Generalitat Valenciana, has georeferenced information on the cultivated varieties. We present two geostatistical models to estimate the risk of plots to be pollinated, depending on the varieties present in their environment, the number of plants, and their distance. Models are used to generate local and regional cross-pollination risk maps. Moreover, the robustness of these models to changes in the values assigned to their main parameters is assessed using different similarity calculations. |
| format | article |
| id | ReDivia8449 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | ReDivia84492025-04-25T14:49:00Z Geostatistical Methods to Build Citrus Cross-Pollination RiskMaps Moltó, Enrique Orts, Carmen Pardo, José Izquierdo-Sanz, Héctor Google earth engine Fruit quality Similarity Citriculture Risk maps F63 Plant physiology - Reproduction U40 Surveying methods H50 Miscellaneous plant disorders Q01 Food science and technology Seedlessness Apiculture Seedless varieties Cross pollination Cultivated varieties Geographic information systems Valencian citriculture is oriented towards fresh production, which requires fruits with few seeds or seedless fruits. Consequently, parthenocarpic and self-incompatible varieties are mainly cultivated. However, some mandarin varieties, under favorable circumstances, induce seed formation in other mandarins by cross-pollination. This phenomenon depends on the germination capacity of the pollen of the pollinating variety, the number of ovules of the pollinated variety, the distance between them, and the abundance of pollinating insects. Previous studies in Instituto Valenciano de Investigaciones Agrarias (IVIA) have determined the ability to pollinate and be pollinated by all commercial varieties in Europe. Moreover, the Regional Government, Generalitat Valenciana, has georeferenced information on the cultivated varieties. We present two geostatistical models to estimate the risk of plots to be pollinated, depending on the varieties present in their environment, the number of plants, and their distance. Models are used to generate local and regional cross-pollination risk maps. Moreover, the robustness of these models to changes in the values assigned to their main parameters is assessed using different similarity calculations. 2022-11-30T08:33:56Z 2022-11-30T08:33:56Z 2022 article publishedVersion Moltó, E., Orts, C., Pardo, J. L. & Izquierdo-Sanz, H. (2022). Geostatistical Methods to Build Citrus Cross-Pollination Risk Maps. Agronomy, 12(11), 2673. 2073-4395 http://hdl.handle.net/20.500.11939/8449 10.3390/agronomy12112673 https://www.mdpi.com/2073-4395/12/11/2673 en info:eu-repo/grantAgreement/ERDF/PCV 2021-2027/52204 This work has been partially financed by the project “Engineering developments for the assurance of a profitable, sustainable and competitive agriculture from field to table” (internal reference number 52204) co-financed by IVIA and the European Regional Development Fund (ERDF). Héctor Izquierdo benefits of an Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) pre-doctoral contract (reference PRE2021-100395) financed by the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) and the European Social Fund Plus (ESF+). Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess MDPI electronico |
| spellingShingle | Google earth engine Fruit quality Similarity Citriculture Risk maps F63 Plant physiology - Reproduction U40 Surveying methods H50 Miscellaneous plant disorders Q01 Food science and technology Seedlessness Apiculture Seedless varieties Cross pollination Cultivated varieties Geographic information systems Moltó, Enrique Orts, Carmen Pardo, José Izquierdo-Sanz, Héctor Geostatistical Methods to Build Citrus Cross-Pollination RiskMaps |
| title | Geostatistical Methods to Build Citrus Cross-Pollination RiskMaps |
| title_full | Geostatistical Methods to Build Citrus Cross-Pollination RiskMaps |
| title_fullStr | Geostatistical Methods to Build Citrus Cross-Pollination RiskMaps |
| title_full_unstemmed | Geostatistical Methods to Build Citrus Cross-Pollination RiskMaps |
| title_short | Geostatistical Methods to Build Citrus Cross-Pollination RiskMaps |
| title_sort | geostatistical methods to build citrus cross pollination riskmaps |
| topic | Google earth engine Fruit quality Similarity Citriculture Risk maps F63 Plant physiology - Reproduction U40 Surveying methods H50 Miscellaneous plant disorders Q01 Food science and technology Seedlessness Apiculture Seedless varieties Cross pollination Cultivated varieties Geographic information systems |
| url | http://hdl.handle.net/20.500.11939/8449 https://www.mdpi.com/2073-4395/12/11/2673 |
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