Temperature-Based Grapevine Ripeness Modeling for cv. Touriga Nacional and Encruzado in the Dão Wine Region, Portugal
In the present study, we calibrated and validated thermal models to predict the DOY date at which the grape maturity index, potential alcohol/total acidity (PA/TA), reaches 0.75 (<i>MS</i><sub>0.75</sub>), 1.0 (<i>MS</i><sub>1</sub>), 1.5 (<i>MS&...
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MDPI AG
2021-09-01
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author | Pedro Rodrigues Vanda Pedroso Fernando Gonçalves Samuel Reis João A. Santos |
author_facet | Pedro Rodrigues Vanda Pedroso Fernando Gonçalves Samuel Reis João A. Santos |
author_sort | Pedro Rodrigues |
collection | DOAJ |
description | In the present study, we calibrated and validated thermal models to predict the DOY date at which the grape maturity index, potential alcohol/total acidity (PA/TA), reaches 0.75 (<i>MS</i><sub>0.75</sub>), 1.0 (<i>MS</i><sub>1</sub>), 1.5 (<i>MS</i><sub>1.5</sub>), and 2.0 (<i>MS</i><sub>2</sub>) for two grapevine Portuguese varieties, Touriga Nacional (TN) and Encruzado (EN), growing in the Dão wine region, Portugal. Daily rates of forcing calculated with the Sigmoid (SM) function and the Degree Day (DD) function were used. The outcomes show that the best performance of the models was obtained for the heat accumulation starting at flowering (<i>t<sub>x</sub></i> = EL23). The analysis of model sensitivity to changes in forcing rate coefficients (<i>T<sub>0</sub></i>, <i>e</i>, and <i>d</i>) enabled the selection of the same models for all maturity stage of each variety. The selected models revealed significant predictability, though dependent on the grape maturity stage and variety <i>(EFF</i> > 0.81 for TN and <i>EFF</i> > 0.75 for EN). The non-linear regression analyses of sugar concentration (SC) and total acidity (TA) with heat accumulation, calculated using the select models, demonstrated that a high fraction of SC and TA variance was explained by the variation of these temperature-based indices. Comparatively to SC and TA, the results highlight that the thermal conditions accumulated from flowering had a lower influence on pH juice variance. |
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spelling | doaj.art-a60fa37fcc5c4c318ff209b33fdea59d2023-11-22T11:38:09ZengMDPI AGAgronomy2073-43952021-09-01119177710.3390/agronomy11091777Temperature-Based Grapevine Ripeness Modeling for cv. Touriga Nacional and Encruzado in the Dão Wine Region, PortugalPedro Rodrigues0Vanda Pedroso1Fernando Gonçalves2Samuel Reis3João A. Santos4CERNAS-IPV Research Centre, Campus Politécnico, Polytechnic Institute of Viseu, Repeses, 3504-510 Viseu, PortugalDireção Regional de Agricultura e Pescas do Centro, Centro de Estudos Vitivinícolas do Dão, Quinta da Cale, 3520-090 Nelas, PortugalCERNAS-IPV Research Centre, Campus Politécnico, Polytechnic Institute of Viseu, Repeses, 3504-510 Viseu, PortugalCoLAB VINES&WINES-National Collaborative Laboratory for the Portuguese Wine Sector, Associação para o Desenvolvimento da Viticultura Duriense (ADVID), Edifício Centro de Excelência da Vinha e do Vinho, Régia Douro Park, 5000-033 Vila Real, PortugalCentre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, Universidade de Trás-os-Montes e Alto Douro, UTAD, 5000-801 Vila Real, PortugalIn the present study, we calibrated and validated thermal models to predict the DOY date at which the grape maturity index, potential alcohol/total acidity (PA/TA), reaches 0.75 (<i>MS</i><sub>0.75</sub>), 1.0 (<i>MS</i><sub>1</sub>), 1.5 (<i>MS</i><sub>1.5</sub>), and 2.0 (<i>MS</i><sub>2</sub>) for two grapevine Portuguese varieties, Touriga Nacional (TN) and Encruzado (EN), growing in the Dão wine region, Portugal. Daily rates of forcing calculated with the Sigmoid (SM) function and the Degree Day (DD) function were used. The outcomes show that the best performance of the models was obtained for the heat accumulation starting at flowering (<i>t<sub>x</sub></i> = EL23). The analysis of model sensitivity to changes in forcing rate coefficients (<i>T<sub>0</sub></i>, <i>e</i>, and <i>d</i>) enabled the selection of the same models for all maturity stage of each variety. The selected models revealed significant predictability, though dependent on the grape maturity stage and variety <i>(EFF</i> > 0.81 for TN and <i>EFF</i> > 0.75 for EN). The non-linear regression analyses of sugar concentration (SC) and total acidity (TA) with heat accumulation, calculated using the select models, demonstrated that a high fraction of SC and TA variance was explained by the variation of these temperature-based indices. Comparatively to SC and TA, the results highlight that the thermal conditions accumulated from flowering had a lower influence on pH juice variance.https://www.mdpi.com/2073-4395/11/9/1777grape ripeningmodelingthermal modelsTouriga NacionalEncruzadoDão Wine Region |
spellingShingle | Pedro Rodrigues Vanda Pedroso Fernando Gonçalves Samuel Reis João A. Santos Temperature-Based Grapevine Ripeness Modeling for cv. Touriga Nacional and Encruzado in the Dão Wine Region, Portugal Agronomy grape ripening modeling thermal models Touriga Nacional Encruzado Dão Wine Region |
title | Temperature-Based Grapevine Ripeness Modeling for cv. Touriga Nacional and Encruzado in the Dão Wine Region, Portugal |
title_full | Temperature-Based Grapevine Ripeness Modeling for cv. Touriga Nacional and Encruzado in the Dão Wine Region, Portugal |
title_fullStr | Temperature-Based Grapevine Ripeness Modeling for cv. Touriga Nacional and Encruzado in the Dão Wine Region, Portugal |
title_full_unstemmed | Temperature-Based Grapevine Ripeness Modeling for cv. Touriga Nacional and Encruzado in the Dão Wine Region, Portugal |
title_short | Temperature-Based Grapevine Ripeness Modeling for cv. Touriga Nacional and Encruzado in the Dão Wine Region, Portugal |
title_sort | temperature based grapevine ripeness modeling for cv touriga nacional and encruzado in the dao wine region portugal |
topic | grape ripening modeling thermal models Touriga Nacional Encruzado Dão Wine Region |
url | https://www.mdpi.com/2073-4395/11/9/1777 |
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