Pathway Analysis to Determine Factors Contributing to Overall Quality Scores in Four Berry Crops

Helen Cockerton; Maddi Blanco Unzueta; Abigail W. Johnson; Andrea Vadillo Dieguez; Felicidad Fernández Fernández

Open Access

Pathway Analysis to Determine Factors Contributing to Overall Quality Scores in Four Berry Crops

Helen Cockerton

Maddi Blanco Unzueta

Abigail W. Johnson

Andrea Vadillo Dieguez

and

Felicidad Fernández Fernández

| Dec 18, 2020

Journal of Horticultural Research

Volume 28 (2020): Issue 2 (December 2020)

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Page range: 35 - 42

Received: Jul 01, 2020

Accepted: Nov 01, 2020

DOI: https://doi.org/10.2478/johr-2020-0025

Keywords
benchmarking analysis, fruit quality, multiple fruit quality components, overall assessment, organoleptic assessment

© 2020 Helen Cockerton et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Biplots detailing variation in the fruit quality data. Trait names denoted as follows: Osc – overall score, App – appearance, Swt – sweetness perception, Acd – acid perception, Mas10 – mass of 10 berries, Mas20 – mass of 20 berries, Flv – flavor score, Txt – texture, Col – color, Sks – skin strength, Red – redness, Brt – brightness, Brx – Brix/total soluble sugars

Pathway analysis influence of different traits on the overall fruit quality score (Osc) in strawberry. Weight of links represents relative association between traits. Solid lines show links between overall score (Osc) and other traits, whereas dashed lines show links between other traits. App – appearance, Swt – Sweetness perception, Acd – acid perception, Flv – flavor score, Txt – texture, Col – color, Unf – Uniformity. Numbers are correlation coefficients

Pathway analysis influence of different traits on the overall fruit quality score (Osc) in raspberry. Note: See Fig. 1

Pathway analysis influence of different traits on the overall fruit quality score (Osc) in blackberry. Note: See Fig. 1

Pathway analysis influence of different traits on the overall fruit quality score (Osc) in blueberry. Weight of links represents relative association between traits. Solid lines show links between overall score (Osc) and other traits, whereas dashed lines show links between other traits. App – appearance, Swt – Sweetness perception, Acd – acid perception, Flv – flavor score, Txt – texture, Col – color, Crp – Crispness. Numbers are correlation coefficients

Significance values associated with berry range, cultivar, supermarket of origin, date before best and country of origin with fruit quality attributes. P-values associated with a chi2 test comparing two mixed models with and without target variable. NS denotes non-significant comparisons

Strawberry	Flavor	Sweetness	Acidity	Overall	Texture	Appearance	Brix

Range	NS	NS	NS	NS	NS	NS	NS
Cultivar	NS	0.040	NS	0.012	NS	NS	NS
Supermarket	NS	NS	NS	NS	NS	0.093	NS
Date before best	NS	NS	NS	0.000	0.098	0.021	NS
Country	NS	NS	NS	NS	NS	NS	NS

Blueberry	Flavor	Sweetness	Acidity	Overall	Texture	Appearance	Firmness

Range	NS	NS	NS	NS	NS	NS	NS
Cultivar	NS	NS	NS	0.028	NS	NS	0.006
Supermarket	NS	NS	NS	NS	NS	NS	NS
Date before best	NS	NS	0.016	NS	NS	NS	NS
Country	NS	NS	0.000	NS	NS	NS	0.029

Raspberry	Flavor	Sweetness	Acidity	Overall	Texture	Appearance	Redness

Range	NS	NS	NS	NS	NS	NS	NS
Cultivar	NS	0.014	0.001	0.009	NS	0.002	NS
Supermarket	NS	NS	NS	NS	NS	0.068	0.032
Date before best	NS	NS	NS	NS	NS	NS	NS
Country	NS	NS	NS	NS	NS	NS	0.072

Blackberry	Flavor	Sweetness	Acidity	Overall	Texture	Appearance	Brightness

Cultivar	NS	NS	NS	NS	NS	NS	NS
Supermarket	NS	NS	NS	NS	NS	NS	NS
Date before best	NS	NS	NS	NS	NS	NS	0.048
Country	NS	0.001	0.001	NS	NS	NS	NS

eISSN:: 2300-5009
Language:: English

Publication timeframe:: 2 times per year
Journal Subjects:: Life Sciences, Biotechnology, Plant Science, Ecology, other

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Pathway Analysis to Determine Factors Contributing to Overall Quality Scores in Four Berry Crops

Published Online: Dec 18, 2020

Page range: 35 - 42

Received: Jul 01, 2020

Accepted: Nov 01, 2020

DOI: https://doi.org/10.2478/johr-2020-0025

Keywords
benchmarking analysis, fruit quality, multiple fruit quality components, overall assessment, organoleptic assessment

© 2020 Helen Cockerton et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Significance values associated with berry range, cultivar, supermarket of origin, date before best and country of origin with fruit quality attributes. P-values associated with a chi2 test comparing two mixed models with and without target variable. NS denotes non-significant comparisons

Pathway Analysis to Determine Factors Contributing to Overall Quality Scores in Four Berry Crops

Published Online: Dec 18, 2020

Page range: 35 - 42

Received: Jul 01, 2020

Accepted: Nov 01, 2020

DOI: https://doi.org/10.2478/johr-2020-0025

Keywordsbenchmarking analysis, fruit quality, multiple fruit quality components, overall assessment, organoleptic assessment

© 2020 Helen Cockerton et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Significance values associated with berry range, cultivar, supermarket of origin, date before best and country of origin with fruit quality attributes. P-values associated with a chi2 test comparing two mixed models with and without target variable. NS denotes non-significant comparisons

Keywords
benchmarking analysis, fruit quality, multiple fruit quality components, overall assessment, organoleptic assessment