Next Article in Journal
Using Plant Phenomics to Exploit the Gains of Genomics
Previous Article in Journal
Grassland Management Influences the Response of Soil Respiration to Drought
Previous Article in Special Issue
Quantitative Analysis by HPLC and FT-MIR Prediction of Individual Sugars from the Plum Fruit Harvested during Growth and Fruit Development
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Agronomy 2019, 9(3), 125; https://doi.org/10.3390/agronomy9030125

Logistic Regression to Evaluate the Marketability of Pepper Cultivars

Department of Engineering, University of Almería, Agrifood Campus of International Excellence (CeiA3), 04120 La Cañada de San Urbano, Almería 04120, Spain
*
Author to whom correspondence should be addressed.
Received: 3 January 2019 / Revised: 28 February 2019 / Accepted: 4 March 2019 / Published: 7 March 2019
  |  
PDF [2812 KB, uploaded 7 March 2019]
  |  

Abstract

The goal of this paper is to show that logistic regression is an analytical method of interest to evaluate the marketability of different pepper (Capsicum annuum L.) cultivars. Two studies were conducted on “Italian sweet” pepper cultivars. Fruit samples were introduced in storage chambers and kept at 9 °C and 85–95% relative humidity during the study period. The fruits were evaluated individually and periodically by measuring the deterioration of fruit quality (rot, ageing, etc.). In this study, categorical explanatory variables (rot, etc.) and continuous explanatory variables (days of storage) were integrated and combined to determine the probability of marketability of the fruit. The results show that the binary logistic model is a useful statistical tool to analyse together both categorical and continuous variables in the study of the marketability of pepper cultivars. View Full-Text
Keywords: cultivar; pepper; quality; logistic regression; days of storage; probability of marketability cultivar; pepper; quality; logistic regression; days of storage; probability of marketability
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Díaz-Pérez, M.; Carreño-Ortega, Á.; Salinas-Andújar, J.-A.; Callejón-Ferre, Á.-J. Logistic Regression to Evaluate the Marketability of Pepper Cultivars. Agronomy 2019, 9, 125.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Agronomy EISSN 2073-4395 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top