Idrizi, Xhezair and Abdullahi, Xhabir and Xhabiri, Gafur and Alija, Durim (2018) THE EVULATION OF PHENOTYPIC VARATION OF NATIVE POPULATIONS OF THE BEAN IN MACEDONIA. International Journal of Food Technology and Nutrition, 1 (1-2). pp. 19-23. ISSN 2671-3071

[img] Text

Download (196kB)
Official URL:


The genetic variation is a raw material for the improvement of plants and one of the important components of every ecosystem or agricultural system generator (Pham 2000). Using this we can come to the development of lines, hybrids, the improvement of population, the development of synthetic cultivars with high frequency of desirable genes for yield, quality and resistant towards environmental stresses. As much as diversified is the spectrum of genetic variation, the higher is the frequency of desirable genes manipulation in the genetic backgrounds of the new appearance of plants. (Saavedra, 2002). The genetic plant variation can be accounted in the phenotypic and molecular level using different methods and techniques (Wouw 1999, Kearsey 2000). The amount of phenotypic variation is important not only in using breeding programme for the improvement or development of new genetic make-up of plants, but also for better understanding the role of flora in a practical and useful environment. Practically, the evaluation of phenotypic variation is simpler than the evaluation of molecular variation. Even if the morphological variation is highly influenced by the environmental conditions, it doesn’t give a clear scene of the real genetic variation that exists among and between different genotypes of a population, and morphologic markers are used for the characterization of germplasm. For identification of genetic variation are used different methods. All of them are based on the differentiation of polymorphisms that exist between different genotypes. Either these polymorphisms might be qualitative or quantitative. Usually the phenotypic plant variation is assessed to rank and weigh or quantify phenotypic differences that exist between individuals of a population, between and among species. Through the estimation of phenotypic variation, genotypes are classified in different groups in order to facilitate the planning of crossing among plants in a breeding programme. The need of genetic diversity is increasing as is the need for food. It is also essential for a sustainable development of agriculture which adapts according to the environmental alternation, and continuous functioning of biosphere regarding mankind survival. As the other plants, existence of genetic variation in the bean is an important component for a successful programme application for genetic development that aim the improvement for characters as the number of beans per pod, protein content, resistance to drought and other environmental stresses. This study aims to identify genetic diversity of native bean populations using morphological polymorphisms, as well as their relation will be determined through the different statistical analysis, creating the possibility of estimation of their evolutive and philogenesys history. The Pollog area is opulent with genetic bean resources. Its geographic position, climate and the landscape have enabled this zone the cultivation of autochthon plants a long time ago, not only for genetic development but also for the cultivation of different agricultural plants. Owing to good and edaphically climate as well as the microclimate and habitat of this zone, the genetic variation can be easily detected by local farmers. In this study, the most important is the evaluation of genetic variation between the local varieties for agronomic traits. The target of this study generally is based on the evaluation of the collected populations in the field conditions.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Unnamed user with email
Date Deposited: 05 Jun 2019 08:31
Last Modified: 05 Jun 2019 08:31

Actions (login required)

View Item View Item