A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses

C. Fuentealba, R. Pedreschi, I. Hernández, and J. Saavedra. 2016. A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses. Cien. Inv. Agr. 43(3):356-365. Hass avocado (Persea americana Mill.) is marketed worldwide. Due to its comple...

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Autores principales: Fuentealba,Claudia, Pedreschi,Romina, Hernández,Ignacia, Saavedra,Jorge
Lenguaje:English
Publicado: Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2016
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202016000300002
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spelling oai:scielo:S0718-162020160003000022017-02-03A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stressesFuentealba,ClaudiaPedreschi,RominaHernández,IgnaciaSaavedra,Jorge Avocados heterogeneity multiple comparison ripening standard deviation C. Fuentealba, R. Pedreschi, I. Hernández, and J. Saavedra. 2016. A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses. Cien. Inv. Agr. 43(3):356-365. Hass avocado (Persea americana Mill.) is marketed worldwide. Due to its complex physiology, a wide variability in postharvest ripening can be observed, i.e., heterogeneity in the number of days to reach edible ripeness. There is a need for a simple and objective method for evaluating the efficacy of postharvest treatments in the reduction of this postharvest ripening heterogeneity given the high demand of import countries for consistent quality and product homogeneity. Therefore, the aim of this study was to compare the appropriateness of different statistical methods used to evaluate this ripening heterogeneity. Bartlett’s, Cochran’s, Levene’s homogeneity of variance tests were applied to different treatments. In addition, a multiple comparisons test of squared residuals (parametric and non-parametric) was applied. The classical statistical approaches (Bartlett’s, Cochran’s and Levene’s tests) showed similar results as the multiple comparisons test of squared residuals only when one treatment and large sample sizes (n=100) were evaluated. All statistical methods were able to detect significant differences in ripening heterogeneity from growers and storage conditions. The multiple comparisons test of squared residuals was the most suitable method for multifactorial experiments and small sample sizes (n=30) compared to the classical approaches, which increased the probability of obtaining false positives or a type I error.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.43 n.3 20162016-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202016000300002en10.4067/S0718-16202016000300002
institution Scielo Chile
collection Scielo Chile
language English
topic Avocados
heterogeneity
multiple comparison
ripening
standard deviation
spellingShingle Avocados
heterogeneity
multiple comparison
ripening
standard deviation
Fuentealba,Claudia
Pedreschi,Romina
Hernández,Ignacia
Saavedra,Jorge
A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses
description C. Fuentealba, R. Pedreschi, I. Hernández, and J. Saavedra. 2016. A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses. Cien. Inv. Agr. 43(3):356-365. Hass avocado (Persea americana Mill.) is marketed worldwide. Due to its complex physiology, a wide variability in postharvest ripening can be observed, i.e., heterogeneity in the number of days to reach edible ripeness. There is a need for a simple and objective method for evaluating the efficacy of postharvest treatments in the reduction of this postharvest ripening heterogeneity given the high demand of import countries for consistent quality and product homogeneity. Therefore, the aim of this study was to compare the appropriateness of different statistical methods used to evaluate this ripening heterogeneity. Bartlett’s, Cochran’s, Levene’s homogeneity of variance tests were applied to different treatments. In addition, a multiple comparisons test of squared residuals (parametric and non-parametric) was applied. The classical statistical approaches (Bartlett’s, Cochran’s and Levene’s tests) showed similar results as the multiple comparisons test of squared residuals only when one treatment and large sample sizes (n=100) were evaluated. All statistical methods were able to detect significant differences in ripening heterogeneity from growers and storage conditions. The multiple comparisons test of squared residuals was the most suitable method for multifactorial experiments and small sample sizes (n=30) compared to the classical approaches, which increased the probability of obtaining false positives or a type I error.
author Fuentealba,Claudia
Pedreschi,Romina
Hernández,Ignacia
Saavedra,Jorge
author_facet Fuentealba,Claudia
Pedreschi,Romina
Hernández,Ignacia
Saavedra,Jorge
author_sort Fuentealba,Claudia
title A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses
title_short A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses
title_full A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses
title_fullStr A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses
title_full_unstemmed A statistical approach for assessing the heterogeneity of Hass avocados subjected to different postharvest abiotic stresses
title_sort statistical approach for assessing the heterogeneity of hass avocados subjected to different postharvest abiotic stresses
publisher Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate 2016
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202016000300002
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