Spatial Analysis of Climate in Winegrape Growing Regions in the Western United States

Jones, Gregory V.; Duff, Andrew A.; Hall, Andrew; Myers, Joseph W.

doi:10.5344/ajev.2010.61.3.313

Cited by 190 publications

(48 citation statements)

References 18 publications

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“…Growing degree‐days (GDD) is an index of daily cumulative heat during the GS (April–October in the Northern Hemisphere) based on daily Tmax and Tmin values; it assumes a sinusoidal curve as an approximation of the diurnal temperature variation (Allen, 1976; Baskerville & Emin, 1969). To obtain the area under the curve in the eight regions of Figure 1, a lower temperature threshold of 10°C was used following the equations of Baskerville and Emin (1969) and Jones et al (2010). Based on degrees Celsius, the minimum and maximum accumulated GDD thresholds for suitable wine regions are 850 and 2700, respectively, as shown in Table 1 (Jones et al, 2010; Winkler et al, 1974).…”

Section: Methodsmentioning

confidence: 99%

“…In North America the impact of climate change on viticulture has been studied through several works which have used observations and regional climate models (RCMs) (Jones, 2007;Jones et al, 2005Jones et al, , 2010Nemani et al, 2001;White et al, 2006). These studies show a positive trend in temperature during the winegrape GS (April-October in the Northern Hemisphere) in the present climate, especially minimum temperature, and a greater number of warm days.…”

Section: Introductionmentioning

confidence: 99%

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Impact of climate change in Mexican winegrape regions

Castillo,

Cavazos,

Pavia

2023

Intl Journal of Climatology

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We analysed the current climate of seven winegrowing regions of Mexico and their possible changes during the 21st century. Various bioclimatic indices were calculated with observations and simulations over a wide domain that covers Mexico and the south and southwest United States. We used two regional climate models (RegCM4.7 and RCA4) for historical (1981–2010), near future (NF: 2021–2050) and far future (FF: 2070–2099) periods under two greenhouse gas emissions scenarios (RCP2.6 and RCP8.5). Both models reproduced the main characteristics of the Mediterranean and semiarid climates typical of the winegrape regions with some biases. Despite the errors, the models suggest similar future changes during the growing season (GS: April–October) in winegrape regions. Increases in temperature (~1.2°C) are expected in the NF, which could produce an early start from the growth (mid‐March) season to the harvest. More significant changes are expected in the FF under the RCP8.5 scenario; temperature during April–October may increase ~4°C, and growing degree‐days (GDD) and minimum temperature could also increase (~700 and 4.5°C, respectively), especially in the northern Mexican high plateau, substantially reducing the suitable areas for viticulture. In Baja California (BC) the suitable years for viticulture may decline by 30%–50%, suggesting an increase in the interannual uncertainty. Moreover, in BC and California the number of cool nights (Tmin < 12°C) could be reduced during the current harvest season (September) affecting winegrape acidity and flavour. Therefore, the viticulture sector and the wine industry may need to implement early adaptation/mitigation measures to overcome these possible changes and winegrape phenology shifts.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of climate change in Mexican winegrape regions

Castillo,

Cavazos,

Pavia

2023

Intl Journal of Climatology

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“…Air temperature and rainfall were measured hourly at a nearby weather station (41°21′27.5″ N 14°6′7.8″ E). In 2008, total annual rainfall was 1088 mm, and the average the average growing-season temperature (between 1 April and 31 October; [ 44 ]) as 19.3 °C. The seasonal patterns of daily minimum, maximum, and mean air temperature and of daily rainfall are reported in Supplementary Figure S1 .…”

Section: Methodsmentioning

confidence: 99%

Early Canopy Management Practices Differentially Modulate Fruit Set, Fruit Yield, and Berry Composition at Harvest Depending on the Grapevine Cultivar

Mataffo

Scognamiglio

Molinaro

et al. 2023

Plants

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The size and number of the berries and the rachis length are the main elements that define bunch compactness in grapevine (Vitis vinifera L.). This trait is of scientific and commercial interest because it strongly influences phytosanitary status and quality of the fruits. In this work, we investigated the effect of different canopy management strategies based on apical shoot and/or leaf removal applied at the early stage (pre-bloom) in altering the key determinants of bunch compactness. Specifically, we compared apical defoliation (removal of the first half of the shoot leaves from the top), basal defoliation (removal of the second half), and shoot trimming (removal of the apical half of the shoot) to untreated controls. The work was carried out in two red varieties (‘Aglianico’ and ‘Casavecchia’) that have contrasting bunch compactness (compact and loose, respectively). We measured relevant morphological traits, photosynthetic rates, fertility, fruit set, bunch architecture, and fruit main compositional parameters. This study demonstrates that the position of the removed shoot leaves along with the shoot trimming differentially modified fruit set, the number of berries per bunch, and berry fresh weight and composition at harvest. Nonetheless, the influence on bunch compactness was limited mainly because of photosynthetic and morphological factors strongly associated with the cultivar.

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“…1. Estimation of bioclimatic indices and meteorological threats: Bioclimatic indices are commonly used to characterize growing areas worldwide in a standardized way, and are also useful metrics to provide the information about climate change impacts and regional climate suitability (Jones et al, 2010). Moreover, horticultural crops are sensitive organisms and their production strongly depends on the climatic conditions of each year.…”

Section: Fruclimadapt Package Featuresmentioning

confidence: 99%