Paper · 2014 · Revista Brasileira de Fruticultura

Repeatability, correlation and path analysis of physical and chemical characteristics of peach fruits

Rosana Gonçalves Pires Matias; Claudio Horst Bruckner; Pedro Crescêncio Souza Carneiro; et al.

5
claims
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verbatim quotes
5
citations
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research areas
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Open access · cc-by

Abstract

This study aimed to determine the number of measurements necessary to evaluate physical and chemical characteristics of peach fruits, study the relationships between them and their direct and indirect effects on the content of ascorbic acid and total carotenoids. The characteristics skin and pulp color, fruit weight, suture, equatorial and polar diameters, firmness, soluble solids (SS), titratable acidity (TA), SS/TA ratio, ascorbic acid and total carotenoids were evaluated in 39 cultivars of peach and 3 cultivars of nectarine from the orchard of the Universidade Federal de Viçosa. The repeatability coefficient was estimated by ANOVA and CPCOR. Phenotypic correlation coefficients (rf) were estimated and, after the multicollinearity diagnostics, they were unfolded to direct and indirect effects of the explanatory variables on the response variable using path analysis. There was agreement on the magnitude of repeatability coefficients obtained by the two methods; however, they varied among the 14 characteristics. The highest correlations were found between FW, SD, ED and PD. Seven fruits are sufficient to evaluate the physical and chemical characteristics of peach with a correlation coefficient of 90%. The characteristics considered in the path diagrams (b* skin, hº skin, b* pulp, hº pulp, ED, PD, FIR, SS, SS/AT and TC) are not the main determinants of the ascorbic acid. The yellow hue of the pulp (hº pulp) has the potential to be used in indirect selection for total carotenoids.

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Claims 5

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The two repeatability methods agreed in magnitude, though repeatability differed among 14 traits.

Outcome
repeatability coefficientse0
Comparator
the two methodse0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Prunus persica
Prunus persica · TaxonAllagash Brewing · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e0

“There was agreement on the magnitude of repeatability coefficients obtained by the two methods; however, they varied among the 14 characteristics”

✓ located verbatim in the source · abstract, characters 880–1025 · show in text ↑
e1

“ANOVA and CPCOR”

✓ located verbatim in the source · abstract, characters 636–651 · show in text ↑
t0

“peach fruits”

✓ located verbatim in the source · title, characters 89–101 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Fruit weight and suture, equatorial and polar diameters had the highest correlations.

Organ / stage
fruite1
Outcome
correlationse0
Qualifier
FW, SD, ED and PDe0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Prunus persica
Prunus persica · TaxonAllagash Brewing · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e0

“The highest correlations were found between FW, SD, ED and PD”

✓ located verbatim in the source · abstract, characters 1027–1088 · show in text ↑
e1

“fruit weight, suture, equatorial and polar diameters”

✓ located verbatim in the source · abstract, characters 305–357 · show in text ↑
t0

“peach fruits”

✓ located verbatim in the source · title, characters 89–101 · show in text ↑
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Seven fruits sufficed to evaluate peach physical and chemical traits at a 90% correlation coefficient.

Outcome
evaluate the physical and chemical characteristicse0
Value
90%e0
Qualifier
Seven fruitse0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Prunus persica
Prunus persica · TaxonAllagash Brewing · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e0

“Seven fruits are sufficient to evaluate the physical and chemical characteristics of peach with a correlation coefficient of 90%”

✓ located verbatim in the source · abstract, characters 1090–1218 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

The path diagram traits were not main determinants of ascorbic acid.

Organ / stage
skine0
Outcome
ascorbic acide0
Qualifier
not the main determinantse0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Prunus persica
Prunus persica · TaxonAllagash Brewing · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e0

“The characteristics considered in the path diagrams (b* skin, hº skin, b* pulp, hº pulp, ED, PD, FIR, SS, SS/AT and TC) are not the main determinants of the ascorbic acid”

✓ located verbatim in the source · abstract, characters 1220–1390 · show in text ↑
t0

“peach fruits”

✓ located verbatim in the source · title, characters 89–101 · show in text ↑
Associationauthor interpretationoriginal resultmeasured

Claim · model-written summary

Pulp yellow hue has potential for indirect selection for total carotenoids.

Organ / stage
pulpe0
Outcome
total carotenoidse0
Qualifier
potential to be used in indirect selectione0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Prunus persica
Prunus persica · TaxonAllagash Brewing · CC BY 2.0 · Wikimedia Commons ↗

Verbatim

e0

“The yellow hue of the pulp (hº pulp) has the potential to be used in indirect selection for total carotenoids”

✓ located verbatim in the source · abstract, characters 1392–1501 · show in text ↑
t0

“peach fruits”

✓ located verbatim in the source · title, characters 89–101 · show in text ↑