2018
DOI: 10.24326/asphc.2018.5.8
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Inheritance and Phenotypic Correlations of Agronomic Traits in Grapevine Offsprings

Abstract: The mode of inheritance and the degree of phenotypic correlation between some more important agronomic traits in two offsprings obtained by direct and reciprocal crossing of cultivars 'Smederevka' and 'Gewurztraminer' were investigated in this study. In 62 genotypes from direct crossing (Smederevka  Gewurztraminer) and 66 genotypes from reciprocal crossing (Gewurztraminer  Smederevka), the traits evaluated were as follows: time of bud burst, flowering time, ripening time, bunch weight, berry weight, grape yi… Show more

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Cited by 7 publications
(6 citation statements)
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“…Positive correlations were obtained between yield weight per plant and the other yield components; however, greater correlation was recorded between yield and bunch weight (r = 0.71), bunch length and weight (r = 0.77), and bunch length and width (r = 0.71). The highest values of correlation were found between the variables related to berry size, such as berry weight and berry length (r = 0,89), berry weight and berry diameter (r = 0.92), and berry length and berry diameter (r = 0.87), which is in agreement with results obtained by other authors (WEI et al, 2002;EBADI et al, 2009;VERMA et al, 2014;NIKOLIĆ et al, 2018). The soluble solids content, titratable acidity, and ratio (SS/TA) had negative correlations with most of the variables; however, they were not significant or were of low magnitude, which indicates that the selection of superior individuals in relation to the production components will not have negative impacts in reduction of soluble solids content and acidity of the grapes.…”
Section: Assessment Of Table Grape Progenies and Correlation Between ...supporting
confidence: 91%
See 1 more Smart Citation
“…Positive correlations were obtained between yield weight per plant and the other yield components; however, greater correlation was recorded between yield and bunch weight (r = 0.71), bunch length and weight (r = 0.77), and bunch length and width (r = 0.71). The highest values of correlation were found between the variables related to berry size, such as berry weight and berry length (r = 0,89), berry weight and berry diameter (r = 0.92), and berry length and berry diameter (r = 0.87), which is in agreement with results obtained by other authors (WEI et al, 2002;EBADI et al, 2009;VERMA et al, 2014;NIKOLIĆ et al, 2018). The soluble solids content, titratable acidity, and ratio (SS/TA) had negative correlations with most of the variables; however, they were not significant or were of low magnitude, which indicates that the selection of superior individuals in relation to the production components will not have negative impacts in reduction of soluble solids content and acidity of the grapes.…”
Section: Assessment Of Table Grape Progenies and Correlation Between ...supporting
confidence: 91%
“…The soluble solids content, titratable acidity, and ratio (SS/TA) had negative correlations with most of the variables; however, they were not significant or were of low magnitude, which indicates that the selection of superior individuals in relation to the production components will not have negative impacts in reduction of soluble solids content and acidity of the grapes. Negative and low correlations between components of yield and of quality were also observed in other studies (WEI et al, 2002;EBADI et al, 2009;VERMA et al, 2014;NIKOLIĆ et al, 2018). Yield per plant and seed dry matter had positive correlation, though of low magnitude (r = 0.33).…”
Section: Assessment Of Table Grape Progenies and Correlation Between ...supporting
confidence: 77%
“…A large diversity of grape varieties is used in the wine industry with distinct characteristics in berry traits, such as berry size, color, flavors, and aromas (THIS et al, 2006). Such a wide range of varieties is largely a result of sexual crossing (natural or introduced by breeders) and natural mutation (THIS et al, 2006;NIKOLIĆ et al, 2018b). Also, new grapevine varieties, Vožd and Vladun are results of planned sexual crossing.…”
Section: Resultsmentioning
confidence: 99%
“…Nikolic et al. (2018), evaluating the phenotypic correlations between agronomic traits in grapevines, identified a significant and negative correlation between the soluble solids content and titratable acidity but also observed a positive correlation between the bunch mass and berry mass. Wei et al.…”
Section: Discussionmentioning
confidence: 99%