Mathematical Approaches for Grouping Large-fruited Tomato Accessions According To Some Morphological and Biochemical Traits of the Fruit

Authors

  • Nikolaya Velcheva Institute of Plant Genetic Resources “Konstantin Malkov”, Sadovo, Agricultural academy, Sofia, Bulgaria Author
  • Lilia Krasteva Institute of Plant Genetic Resources “Konstantin Malkov”, Sadovo, Agricultural academy, Sofia, Bulgaria Author
  • Todorka Mokreva Agricultural University, Plovdiv, Bulgaria Author

Keywords:

cluster analysis; evaluation; tomato collection

Abstract

A three-year study of a collection of 23 large-fruited determinate tomato accessions with a different geographical origin from the ex situ collection of IPGR – Sadovo and Bulgarian cultivar Bononia as a standard was carried out. Through cluster analysis, accessions were divided into four groups based on similarities in morphological and biochemical characteristics of the fruit. Mathematical evaluation of the all characteristics values by Duncan methodology was carried. The analysis shows that the main indicator which divided the evaluated tomato collection is fruit mass. It was found that local forms from expedi¬tions are within the same cluster, characterized by the high values of all parameters and the differences with other accessions are statistically proven. The introduced genotype from Germany with a catalogue number A7000116 is with the lowest fruit weight, but with the highest biochemical values with a statistical evidence of differences with other accessions and falls into a separate cluster. There was a good agreement between results obtained with both statistical methods. The survey identified valuable genetic resources in favor of large-fruited tomato selection.

References

Ганева, Д. 2002. Доматите – храна за здраве и дъл голетие. Научна конф. с международно участие „Храни, здраве и дълголетие”, Смолян, 382-386

Кръстева, Л. 1995. Растителни ресурси от детерминантни домати и тяхното използване. Научни трудове на АУ – Пловдив, 40, 1, 13-16

Станчев, Л., Д. Бобошевска. 1974. Ръководство за лабораторни упражнения по агрохимия. Пловдив.

Ganeva, D., I. Ivanova, G. Pevicharova. 2006. Identifi cation of determinate tomato hybrids F1 using cluster analysis. Proc. of First International Symposium ,,Ecological Approaches towards the Production of Safety Food”, Plovdiv, 205-210

Ganeva, D., G. Pevičarova, I Đinović. 2009. Вiološke svojstva i prinos srpkih hibrida paradajza gajenih u južnoj Bugarskoj. Journal of Scientific Agricultural Research – Arhiv za poljoprivredne nauke, vol. 70 (№ 249), 55-65

Danailov, Zh. 2002. New achievements in tomato breed ing in Bulgaria. Proc. First Symposium on Horticulture. Ohrid. Republic of Macedonia, 338-341

Dimova, D., Krasteva, L. 2007. Evaluation of a large fruited determinate tomato collection using cluster analysis and principal component analysis. Acta Horticulturae, 729, p. 85-88

Engels, J., L. Visser. 2008. A guide to effective manage ment of germplasm collections. IPGR Handbooks for Gen ebanks № 6, Rome, Italy.

Krasteva, L., I. Lozanov, D. Dobrev, V. Sotirova, H. Georgiev, B. Vladimirov. 1993. Investigation and utilization of tomato genetic resources in Bulgaria. Proc. of the XIIth Eu carpia Meeting on Tomato Genetic and Breeding, 215-222

Maggioni, L. 2004. Conservation and use of vegetable genetic resources: a European perspective. ISHS. Leuven. Belgium. Acta Horticulturae, 637, 13-30

IPGRI. 1996. Descriptors for tomato Licopersicon spp. Rome, Italy.

FAO. 2009. International Treaty on PGR for Food and Agriculture. Rome, Italy.

SPSS for Windows. Base System User’s Guide. Release 6.0

Published

28.02.2013

How to Cite

Mathematical Approaches for Grouping Large-fruited Tomato Accessions According To Some Morphological and Biochemical Traits of the Fruit. (2013). Bulgarian Journal of Crop Science, 50(1), 50-53. https://agriacad.eu/ojs/index.php/bjcs/article/view/3744