UniPhen “PIWI”—high-resolution simulation of the phenological development of 13 fungus-tolerant cultivars based on a broad observation data set from Central Europe
Due to their high potential for fungicide reduction, fungus-tolerant “PIWI” cultivars are increasingly gaining interest in European viticulture. This investigation aimed (i) to obtain phenological observation datasets of PIWI cultivars across a broad set of European locations, (ii) to apply the tem...
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International Viticulture and Enology Society
2025-05-01
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| Online Access: | https://oeno-one.eu/article/view/8457 |
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| author | Daniel Molitor Kristina Heilemann César Dionisio Jiménez-Rodríguez Silke Hüther Oliver Trapp Anouck Stalport Julien Louvieaux Olivier Viret Martin Ladach Stefan Schumacher Bettina Lindner Pierre-Henri Dubuis Anne-Lise Fabre Michael Weber Arno Schmid Josef Terleth Wolfgang Renner Benjamin Foerg Kathleen Mackie-Haas Jürgen Junk |
| author_facet | Daniel Molitor Kristina Heilemann César Dionisio Jiménez-Rodríguez Silke Hüther Oliver Trapp Anouck Stalport Julien Louvieaux Olivier Viret Martin Ladach Stefan Schumacher Bettina Lindner Pierre-Henri Dubuis Anne-Lise Fabre Michael Weber Arno Schmid Josef Terleth Wolfgang Renner Benjamin Foerg Kathleen Mackie-Haas Jürgen Junk |
| author_sort | Daniel Molitor |
| collection | DOAJ |
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Due to their high potential for fungicide reduction, fungus-tolerant “PIWI” cultivars are increasingly gaining interest in European viticulture. This investigation aimed (i) to obtain phenological observation datasets of PIWI cultivars across a broad set of European locations, (ii) to apply the temperature sum based “UniPhen” model allowing for a precise simulation of the phenological development at all BCCH stages between bud swelling and berries ripe for harvest and (iii) to discuss the potential implementations in applied viticulture as well as in viticultural climate change impact research.
Four consecutive years of complete data sets of phenological observations originating from eight locations in Central Europe for 13 PIWI and 3 traditional cultivars were used to apply the UniPhen model using a cumulative degree day approach with three temperature thresholds (lower threshold: 10 °C; upper threshold: 20 °C; heat threshold: 30 °C). Muscaris showed the thermal-temporally earliest budburst, while Solaris was earliest in beginning of flowering and harvest ripeness. The latest budburst and the latest beginning of flowering in PIWI cultivars were observed in Pinotin, while harvest ripeness was reached latest by Calardis blanc. The average normalised standard deviation (SD15 °C) over all stages, locations and cultivars was 5.5, corresponding to 5.5 days at 15 °C, with the lowest SD15 °C values around budburst and flowering stages. The highest SD15 °C values were observed in the bunch closure and post-veraison stages.
UniPhen “PIWI” enables a precise simulation of all 31 BBCH stages between the beginning of the bud swell (01) and berries being ripe for harvest (89) for 13 fungus-tolerant cultivars and can be extended to additional cultivars. The model can be applied (i) as a bioclimatic indicator describing the suitability of a location/region for the cultivation of specific cultivars under present and future climate conditions, (ii) for the simulation of cultivar-specific phases of highest susceptibility for fungal diseases and, indirectly, the timing of fungicide treatments as well as (iii) for the classification of the relative late frost risk depending on the thermal-temporal precocity of budburst. This knowledge helps to lower the barrier to growing PIWI cultivars and helps to pave the way for a more sustainable, climate change-resilient viticulture.
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| format | Article |
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| language | English |
| publishDate | 2025-05-01 |
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| spelling | doaj-art-acdd4dedcbc14168b16910450cbf4b0a2025-08-20T02:29:29ZengInternational Viticulture and Enology SocietyOENO One2494-12712025-05-0159210.20870/oeno-one.2025.59.2.8457UniPhen “PIWI”—high-resolution simulation of the phenological development of 13 fungus-tolerant cultivars based on a broad observation data set from Central EuropeDaniel Molitor0Kristina Heilemann1César Dionisio Jiménez-Rodríguez2Silke Hüther3Oliver Trapp4Anouck Stalport5Julien Louvieaux6Olivier Viret7Martin Ladach8Stefan Schumacher9Bettina Lindner10Pierre-Henri Dubuis11Anne-Lise Fabre12Michael Weber13Arno Schmid14Josef Terleth15Wolfgang Renner16Benjamin Foerg17Kathleen Mackie-Haas18Jürgen Junk19Luxembourg Institute of Science and Technology (LIST), Environmental Sensing and Modelling research unit, 41, rue du Brill, L-4422 Belvaux, LuxembourgLuxembourg Institute of Science and Technology (LIST), Environmental Sensing and Modelling research unit, 41, rue du Brill, L-4422 Belvaux, LuxembourgLuxembourg Institute of Science and Technology (LIST), Environmental Sensing and Modelling research unit, 41, rue du Brill, L-4422 Belvaux, LuxembourgJulius Kuehn Institute, Institute for Grapevine Breeding, Geilweilerhof, D-76833 Siebeldingen, GermanyJulius Kuehn Institute, Institute for Grapevine Breeding, Geilweilerhof, D-76833 Siebeldingen, GermanyHaute Ecole provincial de Hainaut Condorcet, Laboratory of Applied Plant Ecophysiology, 1, rue de l’académie, B-7810 Ath, BelgiumHaute Ecole provincial de Hainaut Condorcet, Laboratory of Applied Plant Ecophysiology, 1, rue de l’académie, B-7810 Ath, Belgium / Centre pour l’Agronomie et l’Agro-industrie de la Province de Hainaut, 11, rue Paul Pastur, B-7800 Ath, BelgiumGeneral Direction of Agriculture, Viticulture and Veterinary Affairs, 29, avenue de Marcelin, CH-1110 Morges, SwitzerlandDienstleistungszentrum Ländlicher Raum (DLR) Rheinpfalz, Institute of Viticulture and Enology, Breitenweg 71, D-67435 Neustadt/WeinstraßeState Institute of Viticulture and Oenology (WBI), Merzhauser Str. 119, D-79100 Freiburg, GermanyHochschule Geisenheim University, Department of Plantbreeding, Von-Lade-Str. 1, D-65366 Geisenheim, GermanyAgroscope, Département fédéral de l'économie, de la formation et de la recherche DEFR 60, route de Duillier, CH-1260 NyonAgroscope, Département fédéral de l'économie, de la formation et de la recherche DEFR 60, route de Duillier, CH-1260 NyonDienstleistungszentrum Ländlicher Raum (DLR) Mosel, Gartenstraße 18, D-54470 Bernkastel-KuesLaimburg Research Centre Laimburg 6 – Pfatten, I-39040, ItalyLaimburg Research Centre Laimburg 6 – Pfatten, I-39040, ItalyVersuchsstation Obst- und Weinbau Haidegg, Ragnitzstraße 193, A-8047 Graz, AustriaDienstleistungszentrum Ländlicher Raum (DLR) Rheinhessen-Nahe-Hunsrück, Viticulture Group, Rüdesheimer Straße 60-68, D-55545 Bad KreuznachAgroscope, Schlossgass 8, CH-8820 Wädenswil, SwitzerlandLuxembourg Institute of Science and Technology (LIST), Environmental Sensing and Modelling research unit, 41, rue du Brill, L-4422 Belvaux, Luxembourg Due to their high potential for fungicide reduction, fungus-tolerant “PIWI” cultivars are increasingly gaining interest in European viticulture. This investigation aimed (i) to obtain phenological observation datasets of PIWI cultivars across a broad set of European locations, (ii) to apply the temperature sum based “UniPhen” model allowing for a precise simulation of the phenological development at all BCCH stages between bud swelling and berries ripe for harvest and (iii) to discuss the potential implementations in applied viticulture as well as in viticultural climate change impact research. Four consecutive years of complete data sets of phenological observations originating from eight locations in Central Europe for 13 PIWI and 3 traditional cultivars were used to apply the UniPhen model using a cumulative degree day approach with three temperature thresholds (lower threshold: 10 °C; upper threshold: 20 °C; heat threshold: 30 °C). Muscaris showed the thermal-temporally earliest budburst, while Solaris was earliest in beginning of flowering and harvest ripeness. The latest budburst and the latest beginning of flowering in PIWI cultivars were observed in Pinotin, while harvest ripeness was reached latest by Calardis blanc. The average normalised standard deviation (SD15 °C) over all stages, locations and cultivars was 5.5, corresponding to 5.5 days at 15 °C, with the lowest SD15 °C values around budburst and flowering stages. The highest SD15 °C values were observed in the bunch closure and post-veraison stages. UniPhen “PIWI” enables a precise simulation of all 31 BBCH stages between the beginning of the bud swell (01) and berries being ripe for harvest (89) for 13 fungus-tolerant cultivars and can be extended to additional cultivars. The model can be applied (i) as a bioclimatic indicator describing the suitability of a location/region for the cultivation of specific cultivars under present and future climate conditions, (ii) for the simulation of cultivar-specific phases of highest susceptibility for fungal diseases and, indirectly, the timing of fungicide treatments as well as (iii) for the classification of the relative late frost risk depending on the thermal-temporal precocity of budburst. This knowledge helps to lower the barrier to growing PIWI cultivars and helps to pave the way for a more sustainable, climate change-resilient viticulture. https://oeno-one.eu/article/view/8457cumulative degree daysclimate change adaptationclimate change mitigationfungus-tolerant cultivarshigh resolution phenological modelPIWI |
| spellingShingle | Daniel Molitor Kristina Heilemann César Dionisio Jiménez-Rodríguez Silke Hüther Oliver Trapp Anouck Stalport Julien Louvieaux Olivier Viret Martin Ladach Stefan Schumacher Bettina Lindner Pierre-Henri Dubuis Anne-Lise Fabre Michael Weber Arno Schmid Josef Terleth Wolfgang Renner Benjamin Foerg Kathleen Mackie-Haas Jürgen Junk UniPhen “PIWI”—high-resolution simulation of the phenological development of 13 fungus-tolerant cultivars based on a broad observation data set from Central Europe OENO One cumulative degree days climate change adaptation climate change mitigation fungus-tolerant cultivars high resolution phenological model PIWI |
| title | UniPhen “PIWI”—high-resolution simulation of the phenological development of 13 fungus-tolerant cultivars based on a broad observation data set from Central Europe |
| title_full | UniPhen “PIWI”—high-resolution simulation of the phenological development of 13 fungus-tolerant cultivars based on a broad observation data set from Central Europe |
| title_fullStr | UniPhen “PIWI”—high-resolution simulation of the phenological development of 13 fungus-tolerant cultivars based on a broad observation data set from Central Europe |
| title_full_unstemmed | UniPhen “PIWI”—high-resolution simulation of the phenological development of 13 fungus-tolerant cultivars based on a broad observation data set from Central Europe |
| title_short | UniPhen “PIWI”—high-resolution simulation of the phenological development of 13 fungus-tolerant cultivars based on a broad observation data set from Central Europe |
| title_sort | uniphen piwi high resolution simulation of the phenological development of 13 fungus tolerant cultivars based on a broad observation data set from central europe |
| topic | cumulative degree days climate change adaptation climate change mitigation fungus-tolerant cultivars high resolution phenological model PIWI |
| url | https://oeno-one.eu/article/view/8457 |
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