Abstract
The objectives of this study were to evaluate the performance of cultivars, to quantify the variability and to estimate the genetic distances of 66 wine grape accessions in the Grape Germplasm Bank of the EMBRAPA Semi-Arid, in Juazeiro, BA, Brazil, through the characterization of discrete and continuous phenotypic variables. Multivariate statistics, such as, principal components, Tocher's optimization procedure, and the graphic of the distance, were efficient in grouping more similar genotypes, according to their phenotypic characteristics. There was no agreement in the formation of groups between continuous and discrete morpho-agronomic traits, when Tocher's optimization procedure was used. Discrete variables allowed the separation of Vitis vinifera and hybrids in different groups. Significant positive correlations were observed between weight, length and width of bunches, and a negative correlation between titratable acidity and TSS/TTA. The major part (84.12%) of the total variation present in the original data was explained by the four principal components. The results revealed little variability between wine grape accessions in the Grape Germplasm Bank of Embrapa Semi-Arid.
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Claims 7
Claim · model-written summary
Multivariate statistics efficiently grouped phenotypically similar genotypes.
- Taxon
- wine grape
Vitis viniferat0 - Outcome
- efficient in grouping more similar genotypese0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Multivariate statistics, such as, principal components, Tocher's optimization procedure, and the graphic of the distance, were efficient in grouping more similar genotypes, according to their phenotypic characteristics.”
t0“wine grape”
Claim · model-written summary
Groups from continuous and discrete traits did not agree under Tocher optimization.
- Taxon
- wine grapeVitis viniferat0
- Outcome
- no agreement in the formation of groupse0
- Comparator
- continuous and discrete morpho-agronomic traitse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“There was no agreement in the formation of groups between continuous and discrete morpho-agronomic traits, when Tocher's optimization procedure was used.”
t0“wine grape”
Claim · model-written summary
Discrete variables separated Vitis vinifera and hybrids into different groups.
- Taxon
- Vitis viniferaVitis viniferae0
- Outcome
- separation of Vitis vinifera and hybrids in different groupse0
- Comparator
- hybridse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Discrete variables allowed the separation of Vitis vinifera and hybrids in different groups.”
Claim · model-written summary
Bunch weight, length and width had significant positive correlations.
- Taxon
- wine grapeVitis viniferat0
- Organ / stage
- bunchese0
- Outcome
- weight, length and width of bunchese0
- Direction
- positivee0
- Comparator
- length and width of bunchese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Significant positive correlations were observed between weight, length and width of bunches”
t0“wine grape”
Claim · model-written summary
Titratable acidity and TSS/TTA were negatively correlated.
- Taxon
- wine grapeVitis viniferat0
- Outcome
- titratable aciditye0
- Direction
- negativee0
- Comparator
- TSS/TTAe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“a negative correlation between titratable acidity and TSS/TTA.”
t0“wine grape”
Claim · model-written summary
Four principal components explained 84.12% of total variation.
- Taxon
- wine grapeVitis viniferat0
- Outcome
- total variation present in the original datae0
- Value
- 84.12%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The major part (84.12%) of the total variation present in the original data was explained by the four principal components.”
t0“wine grape”
Claim · model-written summary
Wine grape accessions showed little variability in the collection.
- Taxon
- wine grapeVitis viniferae0
- Material
- wine grape accessionse0
- Outcome
- little variabilitye0
- Direction
- littlee0
- Setting
- Grape Germplasm Bank of Embrapa Semi-Aride0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The results revealed little variability between wine grape accessions in the Grape Germplasm Bank of Embrapa Semi-Arid.”