Application of the factor analysis for comparative assessment of the agrobiological and technological indicators of the population and the clones of Dimyat variety
Keywords:
ampelographic indicators; clones; Dimyat; factor analysis; grapevine; population; regression modelingAbstract
The opportunities for application of the factor analysis for comparative assessment of the agrobiological and technological indicators of the population and the clones of Dimyat variety have been studied. It has been found that the factor distribution of phenological indicators relatively close to the population were clones 4/32 and 6/46, and the selected clones differed in the shoot growth, the potential and actual fertility, yield and mechanical analysis of cluster and berry. The application of the factor analysis and the regression model statistically proven allowed the impact of various economic indicators important for the formation of their ampelographics indicators to be determined in details. Depending on the selection objectives, the obtained information could be used for their objective assessment and increasing the efficiency of the individual selection.
References
Божинова, И., А. Механджиев. 1981. Използ ване на химичните мутагени в експерименталния мутагенезис при лозата. Промишлени технологии в лозарството. Материали от първа научна сесия, 19-20.06.1980, 88-100
Божинова, И., С. Кръстанова, А. Механджиев. 1982. Възможности за повишаване ефективността на клоновата селекция при лозата посредством експерименталния мутагенезис, Материали от I младежка национална школа-конференция по ге нетика. София, 23-24 ноември.
Въндев, Д. 1999. Статистика. София, с. 13-20
Димитров, П., Й. Иванов, К. Катеров. 1957. Проучване върху вътресортовото разнообразие при сортовете Мавруд и Димят. Научни трудове ИЛВ – Плевен, т. 1, 115-144
Кондарев, М., Г. Драганов. 1974. Димят черен. Лозарство и винарство, № 4, с. 18
Мокрева, Т., В. Ройчев. 2013. Статистически под ход за оценка качеството на вино от сорт Мавруд. Селскостопанска наука, 46 (1), 56-62
Найденова, П. 2000. Бизнес статистика. Уни верситетски курс. Марс-95, 284 с.
Радулов, Л., П. Абрашева, М. Иванов. 2004. Перспективни винени сортове лози за България.
FAMAD, България. Bryant, F, P. Yarnold. 1994. Principal compo nents analysis and exploratory and confirmatory factor analysis. American Psychological Association Books; http://en.wikipedia.org/wiki/Factor_analysis
Gocheva-Ilieva, S. G., I. P. Iliev. 2009. Statistical models of characteristics of metal vapor lasers. Nova Science Publishers, ISBN 978-1-61324-293-3.
Iliev, I. P., S. G. Gocheva-Ilieva, D. N. Astadjov, N. P. Denev, N. V. Sabotinov. 2008a. Statistical approach in planning experiments with a copper bromide vapor laser. Quantum Electron., vol. 38, No. 5, p. 436-440
Iliev, I. P., S. G. Gocheva-Ilieva, D. N. Astadjov, N. P. Denev, N. V. Sabotinov. 2008b. Statistical analy sis of the CuBr laser efficiency improvement. Optics and Laser Technology, vol. 40, 4, p. 641-646
Lacombe, T., J. M. Boursiquot, L. Audeguin. 2004. The prospection, conservation and evaluation of vine clones in France. Bulletin O. I. V., 885-886: 799-809
Pérez-Hugalde, C., L. Júdez, J. Litago, J. Yuste, J. 2004. Statistical procedure for clonal preselection of Vitis vinifera L. cv. Tempranillo in the Duero Valley, Spain. American Journal of Enology and Viticulture, Vol. 55, No. 4, p. 335-345
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2017 Bulgarian Journal of Crop Science

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
