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Integrating Phenological, Aerobiological and Weather Data to Study the Local and Regional Flowering Dynamics of Four Grapevine Cultivars
Open AccessArticle

Prediction of Grapevine Yield Based on Reproductive Variables and the Influence of Meteorological Conditions

1
CITACA, Agri-Food Research and Transfer Cluster, Campus da Auga, University of Vigo, 32004 Ourense, Spain
2
Earth Sciences Institute (ICT), Pole of the Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
3
Department of Biology University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
*
Author to whom correspondence should be addressed.
Agronomy 2020, 10(5), 714; https://doi.org/10.3390/agronomy10050714
Received: 20 April 2020 / Revised: 10 May 2020 / Accepted: 13 May 2020 / Published: 16 May 2020
(This article belongs to the Special Issue Recent Advances in Viticulture and Breeding of Grapevine)
Climate has a direct influence on crop development and final yield. The consequences of global climate change have appeared during the last decades, with increasing weather variability in many world regions. One of the derived problems is the maintenance of food supply in this unstable context and the needed changes in agricultural systems, looking for sustainable and adaptation strategies. The study was carried out from 2008 to 2017. Aerobiological data were obtained with a Lanzoni VPPS-2000 volumetric sampler, following the Spanish Aerobiological Network protocol. The pollen and flower production was studied on ten vines of the Godello grapevine cultivar. A HOBO Micro Station and a MeteoGalicia station were used to obtain meteorological information. We observed the detrimental effect of rain on airborne pollen presence, and we statistically corroborated the negative effect of high temperatures on fruit set and ripening. We developed an accurate multiple regression model to forecast the grape yield, applying a Spearman’s correlation test to identify the most influential variables. The use of aerobiological and meteorological studies for crop yield prediction has been widely used in different crops that suppose important engines for economy development. This enables growers to adapt their crop management and adjust the spent resources. View Full-Text
Keywords: pollination dynamics; reproductive biology; grapevine; yield forecast; Godello pollination dynamics; reproductive biology; grapevine; yield forecast; Godello
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MDPI and ACS Style

González-Fernández, E.; Piña-Rey, A.; Fernández-González, M.; Aira, M.J.; Rodríguez-Rajo, F.J. Prediction of Grapevine Yield Based on Reproductive Variables and the Influence of Meteorological Conditions. Agronomy 2020, 10, 714. https://doi.org/10.3390/agronomy10050714

AMA Style

González-Fernández E, Piña-Rey A, Fernández-González M, Aira MJ, Rodríguez-Rajo FJ. Prediction of Grapevine Yield Based on Reproductive Variables and the Influence of Meteorological Conditions. Agronomy. 2020; 10(5):714. https://doi.org/10.3390/agronomy10050714

Chicago/Turabian Style

González-Fernández, Estefanía; Piña-Rey, Alba; Fernández-González, María; Aira, María J.; Rodríguez-Rajo, F. J. 2020. "Prediction of Grapevine Yield Based on Reproductive Variables and the Influence of Meteorological Conditions" Agronomy 10, no. 5: 714. https://doi.org/10.3390/agronomy10050714

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