Assessment of genetic diversity among alfalfa (Medicago sativa L.) genotypes by morphometry, seed storage proteins and RAPD analysis
| Autor: | Tijana Banjanac, Branislav Šiler, Dejan Sokolović, Bogovid Živković, Ratibor Štrbanović, Jasmina Radović |
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| Rok vydání: | 2012 |
| Předmět: |
0106 biological sciences
2. Zero hunger Germplasm 0303 health sciences Genetic diversity business.industry food and beverages Biology 01 natural sciences Biotechnology 03 medical and health sciences chemistry.chemical_compound Agronomy chemistry Genetic distance Plant protein Genetic marker Molecular marker Genetic variation Genetic variability business Agronomy and Crop Science 030304 developmental biology 010606 plant biology & botany |
| Zdroj: | Industrial Crops and Products |
| ISSN: | 0926-6690 |
| DOI: | 10.1016/j.indcrop.2012.03.027 |
| Popis: | Alfalfa is the world's widest grown forage crop with novel applications in the production of commercial proteins and biomass for biofuel. These alternative uses of alfalfa require new cultivars and breeding processes adjusted to specific production systems and demands. An estimate of the genetic diversity and differentiation between genotypes of breeding germplasm is of key importance for its improvement. Traditionally, it is has been achieved through morphological analyses, although novel methods of molecular marker analysis offer faster and more reliable tools. The objective of this study was to determine genetic variability of ten populations of alfalfa as a part of a collection at the Institute for Forage Crops, Krusevac, Serbia and to reveal relationships among genotypes through UPGMA(1) cluster analysis. Data obtained through three different methods were compared and the correlation among them was estimated. It has been found that clustering of examined genotypes based on analysis of morphology traits has the best fit with geographical origin of genotypes. Methods using molecular markers, as seed storage proteins or RAPDs,(2) provide a rapid way to discriminate between genotypes and have strong mutual correlation. Estimating the genetic distance through molecular marker analysis showed a poor fit of distance in relation to morphological analyses. (C) 2012 Elsevier By. All rights reserved. Ministry of Education and Science, Republic of Serbia [TR31057, 173024] |
| Databáze: | OpenAIRE |
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