Assessment of deterioration in skin color of table grape berries due to climate change and effects of two adaptation measures

Sugiura, Toshihiko; Shiraishi, Masayuki; Konno, Shohei; Sato, Akihiko

doi:10.2480/agrmet.d-18-00032

Cited by 5 publications

(8 citation statements)

References 35 publications

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“…perature in April and May (Table 4), in common with several table grape cultivars tested in Japan (Kamimori et al, 2019;Sugiura et al, 2019). To predict representative titratable acidity from the equation in Table 3 and recorded temperatures, it is necessary to estimate the full-flowering date in order to calculate the mean temperature during the temperature-sensitive period.…”

Section: Discussionmentioning

confidence: 99%

“…We previously presented equations to estimate the full-flowering date of 'Kyoho' and 'Pione' in the open field, under partial cover, and in unheated plastic greenhouses with and without side film (Sugiura et al, 2019). Because the acid concentration of table grapes in warm regions is not of concern, we used these equations, the equation in Table 3, and the temperature data for the experimental year to estimate the representative titratable acidity only in vineyards where mean air temperatures during the temperature-sensitive period were below 25°C.…”

Section: Discussionmentioning

confidence: 99%

“…heated and unheated greenhouses with side film than under any other condition (Sugiura et al, 2019). An earlier full-flowering date means an earlier onset of the temperature-sensitive period, so mean air temperatures during that period depend on both vineyard location and cultivation conditions.…”

Section: Titratable Acidity Of Table Grapes At the Harvest Datementioning

confidence: 99%

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Prediction of Acid Concentration in Wine and Table Grape Berries from Air Temperature

et al. 2020

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To develop equations to predict the titratable acidity of grape berries at harvest from air temperature, we analyzed several years of datasets on wine grapes grown in experimental vineyards in seven prefectures and of table grapes grown in 37 prefectures in Japan. Although the number of days from the full-flowering date to harvest date varied with the cultivar, the temperature throughout the period of 40 to 50 days before the harvest date was the most strongly correlated with the titratable acidity of all tested cultivars. The titratable acidity at the harvest date of the wine grape cultivars decreased as the mean temperature of the period increased as did that of the table grape cultivars, although the latter did not decrease much above 24°C. The titratable acidity of the wine grape cultivars showed good linear regression with the mean temperature from 60 to 99 DAF (days after full-flowering) in 'Chardonnay', from 65 to 109 DAF in 'Monde Briller', and from 35 to 84 DAF in 'Colline Verte'. That of table grape cultivars grown in cold regions showed good quadratic regression with the mean temperature from 50 to 92 DAF in 'Kyoho', from 46 to 91 DAF in 'Pione', and from 52 to 93 DAF in 'Suzuka'. The titratable acidity of table grape cultivars grown in warm regions was estimated to be about 0.5 g/100 mL. These regression equations can be used to select cultivars to plant and to identify suitable regions for each cultivar, as well as to estimate changes in acid concentration under global warming. We also determined the relationship between the rate of acid reduction of the wine grape cultivars and temperature from serial measurements of titratable acidity to allow growers to predict the change in titratable acidity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Prediction of Acid Concentration in Wine and Table Grape Berries from Air Temperature

et al. 2020

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“…However, such prediction needs a model that links development in grapes with air temperature. To date, studies have been conducted only for a few cultivars (Mosedale et al 2016, Sugiura et al 2019, and there is no practices are concentrated, and disperse during the busy season. In fruit cultivation, it is more difficult to change cropping type or replant than in annual crop cultivation; therefore, changing cropping types or varieties to adapt to climate change must be considered more than 10 years in advance.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Developmental Changes due to Climate Change in ‘Delaware’ Grapes in Osaka, Japan, based on Simulated Data

Kamimori

Hiramatsu

2022

JARQ

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Developmental Changes in 'Delaware' due to Climate Change in Osaka study on 'Delaware' grape.'Delaware' grape (Vitis labruscana Bailey) is a table grape cultivar that has the third largest growing area in Japan. Moreover, in Osaka Prefecture in the Kansai region of Japan, 'Delaware' is the main cultivar that accounts for 80% (266.7 ha) of grape production (Ministry of Agriculture, Forestry and Fisheries 2018). We previously confirmed that 'Delaware' grape, under open field conditions in Osaka, showed accelerations in budding and full-flowering from 1963 to 2010 (Kamimori et al. 2019) and statistically modeled the relationships between the budding and full-flowering dates and air temperature using data collected over nearly 50 years (Kamimori et al. 2020). The budding and full-flowering dates are indicators of the timing of cultivation management practices, such as pest control, shoot treatment, and gibberellic acid application. Grape growers combine different cropping types or varieties to shift the budding and full-flowering date, when cultivation management

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“…Phenological events are often estimated using an empirical model because of limited data on observed phenology, and many models have been developed to estimate phenological development in crops e.g., Horie and Nakagawa, 1990, Nakagawa and Horie, 1995and Yin et al, 1997Weir et al, 1984, Maruyama et al, 2010and Kawakita et al, 2020Williams et al, 1985, Caffarra and Eccel, 2010and Sugiura et al, 2019 in grapes . Conventional phenological models of budburst, leafout, and flowering, which are required for the assessment of frost risk, are mainly divided into two types: one-phase models e.g., Cannell and Smith, 1983;Chuine and Cour, 1999 , considering the ecodormancy processes affected by forcing temperatures in spring, and two-phase models e.g., Richardson et al, 1974;Chuine, 2000 , which consider endodormancy processes affected by chilling temperatures from autumn to winter as well as the ecodormancy processes.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal distribution of the potential risk of frost damage in tea fields from 1981-2020: A modeling approach considering phenology and meteorology

Kimura

Kudo

Maruyama

2021

J. Agric. Meteorol.

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Climate change may induce severe frost damage to crops, and thus a reasonable assessment of frost risk, considering both crop phenology and meteorology, is required. Here, we introduced a new index of potential frost risk F risk using thermal time minimum air temperature below the threshold value weighted by the percentage of budburst P bud . Moreover, we evaluated the spatiotemporal distributions of F risk in tea fields within a 60 km 60 km area in east Japan from 1981-2020, using 1 km 2 -gridded meteorological data and a newly developed model of P bud . The P bud model considered three phenological phases endodormancy, ecodormancy, and progress of budburst and successfully represented changes in the P bud of the tea buds for 15 years, with root mean square errors of 8.5 percentage points. The spatiotemporal distributions of F risk over the past 40 years showed that potential frost risk significantly increased at elevations ranging from 50 m to 300 m because the budburst advanced at a faster rate than the temperature warming. These elevations corresponded to areas where tea plants were mainly cultivated, which indicates that tea cultivation is becoming vulnerable to frost, and the risk of economic losses due to the frost is increasing. The proposed assessment of frost risk could contribute to predicting frost damage and developing more reliable strategies for the operation of frost protection under the effects of future climate change.

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Assessment of deterioration in skin color of table grape berries due to climate change and effects of two adaptation measures

Cited by 5 publications

References 35 publications

Prediction of Acid Concentration in Wine and Table Grape Berries from Air Temperature

Prediction of Acid Concentration in Wine and Table Grape Berries from Air Temperature

Prediction of Developmental Changes due to Climate Change in ‘Delaware’ Grapes in Osaka, Japan, based on Simulated Data

Spatiotemporal distribution of the potential risk of frost damage in tea fields from 1981-2020: A modeling approach considering phenology and meteorology

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