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Multivariate assessment of canning quality, chemical characteristics and yield of small white canning beans ( Phaseolus vulgaris L) in South Africa
Author(s) -
De Lange Annetjie,
Labuschagne Maryke
Publication year - 2000
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/1097-0010(20010101)81:1<30::aid-jsfa774>3.0.co;2-m
Subject(s) - cultivar , phaseolus , yield (engineering) , multivariate statistics , multivariate analysis , biology , mathematics , horticulture , statistics , materials science , metallurgy
The canning quality of small white dry beans produced in South Africa is subject to environmental effects, resulting in inconsistent quality. The aim of this study was to evaluate quality parameters and their genotype × environment interactions and to attain a better understanding of variates that discriminate between cultivars for canning quality, using multivariate analysis. Six small white cultivars were evaluated across 11 environments. The cultivars differed significantly over localities for eight of the characteristics. Significant genotype × environment interactions existed for protein, seed size, soaked bean mass, visual appearance, splits, texture and yield. Low linear correlation coefficients indicated that no single parameter could explain the variation in yield and canning quality attributes. Canonical correlation analysis was used to determine to what extent the variation in biochemical components was responsible for differences in canning quality. The differences between unacceptable, standard grade and choice grade cultivars were examined by means of canonical variate analysis. The differences between cultivars were mainly due to visual appearance and percentage K. The main differences between standard grade and choice grade beans were in seed size and percentage Ca. A model was computed for the objective characterisation of variation in canning quality attributes. © 2000 Society of Chemical Industry