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Ordinal regression model for pea seed mass Cover

Abstract

The development of seeds at various positions in the pod is asynchronous. Thus, the differences of seed dry mass production because of environmental conditions may depend on the cultivar type, type of inoculants and interrelations between seeds per pod, pods per plant or seeds per plant. Presently, a mathematical description of pea seed categorisation is missing. The aim of the study was the assessment of two groups of variables (quantitative and qualitative) for pea seed weight categorisation by ordinal regression model. Year, cultivar and inoculant constituted the first group (qualitative variables), whilst seeds per pod, the pods per plant and seeds per plant (quantitative variables) were entered as covariates in the ordinal regression model. According to the ordinal regression model variables, seeds per pod, pods per plant, seeds per plant, year and cultivar are meaningful predictors of the seed mass categories. However, the variable inoculant is marginally significant.

DOI: https://doi.org/10.1515/boku-2017-0008 | Journal eISSN: 2719-5430 | Journal ISSN: 0006-5471
Language: English
Page range: 81 - 87
Submitted on: Mar 14, 2017
Accepted on: Jul 4, 2017
Published on: Jun 30, 2017
Published by: Universität für Bodenkultur Wien
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Agnieszka Klimek-Kopyra, Jacek Strojny, Tadeusz Zając, Anna Ślizowska, Jana Klimešova, Reinhard W. Neugschwandtner, published by Universität für Bodenkultur Wien
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.