A method for using monthly average temperatures in phenology models for grapevine (<i>Vitis vinifera</i> L.)
In recent years, there have been increasing efforts to link phenology models with seasonal climate predictions in so-called Decision Support Systems (DSS) to tailor crop management strategies. However, temporal discrepancies between phenology models with temperature data gathered on a daily basis an...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Viticulture and Enology Society
2022-11-01
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| Series: | OENO One |
| Subjects: | |
| Online Access: | https://oeno-one.eu/article/view/5401 |
| _version_ | 1811317295949021184 |
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| author | Omar Garcia-Tejera Raül Marcos-Matamoros Boris Basile Alessandro Mataffo Pasquale Scognamiglio Henar Prieto Luis Mancha Inês Cabral Jorge Queiroz Joana Valente Fernando Alves Nube González-Reviriego Sara Hernández-Barrera Mercè Mata Joan Girona |
| author_facet | Omar Garcia-Tejera Raül Marcos-Matamoros Boris Basile Alessandro Mataffo Pasquale Scognamiglio Henar Prieto Luis Mancha Inês Cabral Jorge Queiroz Joana Valente Fernando Alves Nube González-Reviriego Sara Hernández-Barrera Mercè Mata Joan Girona |
| author_sort | Omar Garcia-Tejera |
| collection | DOAJ |
| description | In recent years, there have been increasing efforts to link phenology models with seasonal climate predictions in so-called Decision Support Systems (DSS) to tailor crop management strategies. However, temporal discrepancies between phenology models with temperature data gathered on a daily basis and seasonal forecasting systems providing predictability on monthly scales have limited their use. In this work, we present a novel methodology to use monthly average temperature data in phenology models. Briefly stated, we modelled the timing of the appearance of specific grapevine phenological phases using monthly average temperatures. To do so, we computed the cumulative thermal time (Sf ) and the number of effective days per month (effd). The effd is the number of days in a month on which temperatures would be above the minimum value for development (Tb). The calculation of effd is obtained from a normal probability distribution function derived from historical weather records. We tested the methodology on four experimental plots located in different European countries with contrasting weather conditions and for four different grapevine cultivars. The root mean square deviation (RMSD) ranged from 4 to 7 days for all the phenological phases considered, at all the different sites, and for all the cultivars. Furthermore, the bias of observed vs predicted comparisons was not significantly different when using either monthly mean or daily temperature values to model phenology. This new methodology, therefore, provides an easy and robust way to incorporate monthly temperature data into grapevine phenology models. |
| first_indexed | 2024-04-13T12:05:27Z |
| format | Article |
| id | doaj.art-db5cce54070a495c80dcc1a1a3e2364c |
| institution | Directory Open Access Journal |
| issn | 2494-1271 |
| language | English |
| last_indexed | 2024-04-13T12:05:27Z |
| publishDate | 2022-11-01 |
| publisher | International Viticulture and Enology Society |
| record_format | Article |
| series | OENO One |
| spelling | doaj.art-db5cce54070a495c80dcc1a1a3e2364c2022-12-22T02:47:40ZengInternational Viticulture and Enology SocietyOENO One2494-12712022-11-0156410.20870/oeno-one.2022.56.4.5401A method for using monthly average temperatures in phenology models for grapevine (<i>Vitis vinifera</i> L.) Omar Garcia-Tejera0Raül Marcos-Matamoros1Boris Basile2Alessandro Mataffo3Pasquale Scognamiglio4Henar Prieto5Luis Mancha6Inês Cabral7Jorge Queiroz8Joana Valente9Fernando Alves10Nube González-Reviriego11Sara Hernández-Barrera12Mercè Mata13Joan Girona14Universidad de La Laguna, Departamento de Ingeniería Agraria y del Medio Natural. Ctra. Geneto, 2, La Laguna, 38200 Tenerife - Instituto de Agricultura Sostenible-CSIC, Av. Menéndez Pidal s/n, 14080 Cordoba - Efficient Use of Water Program, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Parc de Gardeny, Edifici Fruitcentre, 25003 LleidaBarcelona Supercomputing Center (BSC), c/Jordi Girona, 29, 08034 Barcelona - University of Barcelona, Faculty of Physics, c/Martí i Franquès 1, 08028 BarcelonaDepartment of Agricultural Sciences, University of Naples Federico II, Portici (Napoli)Department of Agricultural Sciences, University of Naples Federico II, Portici (Napoli)Department of Agricultural Sciences, University of Naples Federico II, Portici (Napoli)Center for Scientific and Technological Research of Extremadura (CICYTEX). Agricultural Research Institute “Finca La Orden-Valdesequera”. Highway A-5 km. 372, 06187 Guadajira (Badajoz)Center for Scientific and Technological Research of Extremadura (CICYTEX). Agricultural Research Institute “Finca La Orden-Valdesequera”. Highway A-5 km. 372, 06187 Guadajira (Badajoz)GreenUPorto – Sustainable Agrifood Production Research Centre / Inov4Agro, DGAOT, Faculty of Sciences of University of Porto, Campus de Vairão, Rua da Agrária, 747, 4485-646 VairãoGreenUPorto – Sustainable Agrifood Production Research Centre / Inov4Agro, DGAOT, Faculty of Sciences of University of Porto, Campus de Vairão, Rua da Agrária, 747, 4485-646 VairãoSymington Family Estates, Vinhos, S.A., Travessa Barão de Forrester 86, 4400-034 Vila Nova de GaiaSymington Family Estates, Vinhos, S.A., Travessa Barão de Forrester 86, 4400-034 Vila Nova de GaiaBarcelona Supercomputing Center (BSC), c/Jordi Girona, 29, 08034 BarcelonaInstituto Tecnológico y de Energías Renovables, S.A. (ITER), Polígono Industrial de Granadilla s/n, 38600 Granadilla (Santa Cruz de Tenerife)Efficient Use of Water Program, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Parc de Gardeny, Edifici Fruitcentre, 25003 LleidaEfficient Use of Water Program, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Parc de Gardeny, Edifici Fruitcentre, 25003 LleidaIn recent years, there have been increasing efforts to link phenology models with seasonal climate predictions in so-called Decision Support Systems (DSS) to tailor crop management strategies. However, temporal discrepancies between phenology models with temperature data gathered on a daily basis and seasonal forecasting systems providing predictability on monthly scales have limited their use. In this work, we present a novel methodology to use monthly average temperature data in phenology models. Briefly stated, we modelled the timing of the appearance of specific grapevine phenological phases using monthly average temperatures. To do so, we computed the cumulative thermal time (Sf ) and the number of effective days per month (effd). The effd is the number of days in a month on which temperatures would be above the minimum value for development (Tb). The calculation of effd is obtained from a normal probability distribution function derived from historical weather records. We tested the methodology on four experimental plots located in different European countries with contrasting weather conditions and for four different grapevine cultivars. The root mean square deviation (RMSD) ranged from 4 to 7 days for all the phenological phases considered, at all the different sites, and for all the cultivars. Furthermore, the bias of observed vs predicted comparisons was not significantly different when using either monthly mean or daily temperature values to model phenology. This new methodology, therefore, provides an easy and robust way to incorporate monthly temperature data into grapevine phenology models.https://oeno-one.eu/article/view/5401phenology modellinggrapevineseasonalforecast |
| spellingShingle | Omar Garcia-Tejera Raül Marcos-Matamoros Boris Basile Alessandro Mataffo Pasquale Scognamiglio Henar Prieto Luis Mancha Inês Cabral Jorge Queiroz Joana Valente Fernando Alves Nube González-Reviriego Sara Hernández-Barrera Mercè Mata Joan Girona A method for using monthly average temperatures in phenology models for grapevine (<i>Vitis vinifera</i> L.) OENO One phenology modelling grapevine seasonal forecast |
| title | A method for using monthly average temperatures in phenology models for grapevine (<i>Vitis vinifera</i> L.) |
| title_full | A method for using monthly average temperatures in phenology models for grapevine (<i>Vitis vinifera</i> L.) |
| title_fullStr | A method for using monthly average temperatures in phenology models for grapevine (<i>Vitis vinifera</i> L.) |
| title_full_unstemmed | A method for using monthly average temperatures in phenology models for grapevine (<i>Vitis vinifera</i> L.) |
| title_short | A method for using monthly average temperatures in phenology models for grapevine (<i>Vitis vinifera</i> L.) |
| title_sort | method for using monthly average temperatures in phenology models for grapevine i vitis vinifera i l |
| topic | phenology modelling grapevine seasonal forecast |
| url | https://oeno-one.eu/article/view/5401 |
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