2009
DOI: 10.5344/ajev.2009.60.4.533
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Yield Components and Fruit Composition of Five Barbera Grapevine Selections in the San Joaquin Valley, California

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Cited by 3 publications
(4 citation statements)
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“…The average grape berry weight (0.64 g–1.6 g) and the number of seeds in the grape berry (1.08–2.03) in the variety Cabernet Sauvignon correspond to results that can be considered a varietal characteristic, bearing in mind the positive correlation with the results of other authors who dealt with this issue [ 8 , 50 , 51 , 52 ]. Similar results were recorded in the analysis of the number of grape berries in a grape cluster, which ranges from 65 to 164 [ 53 , 54 , 55 , 56 ], except for a slightly higher number of berries at the Trebinje locality during 2020. The grape berry weight of the Merlot variety is significantly influenced by production conditions, as evidenced by many literature references.…”
Section: Discussionsupporting
confidence: 82%
“…The average grape berry weight (0.64 g–1.6 g) and the number of seeds in the grape berry (1.08–2.03) in the variety Cabernet Sauvignon correspond to results that can be considered a varietal characteristic, bearing in mind the positive correlation with the results of other authors who dealt with this issue [ 8 , 50 , 51 , 52 ]. Similar results were recorded in the analysis of the number of grape berries in a grape cluster, which ranges from 65 to 164 [ 53 , 54 , 55 , 56 ], except for a slightly higher number of berries at the Trebinje locality during 2020. The grape berry weight of the Merlot variety is significantly influenced by production conditions, as evidenced by many literature references.…”
Section: Discussionsupporting
confidence: 82%
“… Fidelibus et al. (2006 , 2007 , and 2009 ) evaluated different varieties of Chardonnay, Merlot, and Barbera and observed that the varieties with larger berries were more susceptible to SR, as large berries often contribute to the development of tight clusters. Lisek and Lisek (2021) assessed the susceptibility to SR of 28 wine and 25 table grape cultivars with diverse geographic and genetic origins.…”
Section: Resultsmentioning
confidence: 99%
“…In the majority of these papers (n = 22), the disease was assessed by visual observations in terms of disease incidence or severity. Disease incidence was expressed as the percentage of clusters showing SR symptoms ( Duncan et al., 1995 ; Tjamos et al., 2004 ; Dimakopoulou et al., 2008 ; Calvo-Garrido et al., 2013 ; Calzarano et al., 2019 , 2020 ; Carbó et al., 2019 ; Vogel et al., 2020 ; Kenney and Hall, 2021 ; Owoyemi et al., 2022 ), as the proportion of clusters having four or more adjoining berries with SR symptoms ( Fidelibus et al., 2005 , 2006 , 2007 , 2009 ), or as the percentage of affected berries over the total number of detached berries ( Gao et al., 2020 ). Disease severity was expressed as the percentage of affected berries (i.e., berries with SR symptoms) over the total berries in a cluster ( Tjamos et al., 2004 ; Calvo-Garrido et al., 2013 ; Calzarano et al., 2019 , 2020 ; VanderWeide et al., 2020 ; Vogel et al., 2020 ; Kenney and Hall, 2021 ; Carbó et al., 2019 ), as the percentage of the cluster surface with SR symptoms ( Tjamos et al., 2004 ; Hall et al., 2018b ; Vogel et al., 2020 ; Lisek and Lisek, 2021 ; Cornelissen et al., 2022 ), or as an empirical rating ( Schena et al., 2005 ; Nigro et al., 2006 ; Huber, 2016 ; Madden et al., 2017 ; Pinto et al., 2017 ; Hall et al., 2018b ; Calderone et al., 2022 ).…”
Section: Resultsmentioning
confidence: 99%
“…When the berry TSS reached the commercial harvest standard of ~24 Brix for SJV Cabernet Sauvignon, yield and yield components (number of clusters, average cluster weight, average berry weight, and number of berries per cluster) were determined at harvest from each vine using methods similar to those described (Fidelibus et al 2009). Mean cluster weight was calculated as the ratio of yield divided by number of clusters per grapevine.…”
Section: Yield Componentsmentioning
confidence: 99%