Assessment of Genetic Diversity in Alfalfa Using DNA Polymorphism Analysis and Statistical Tools

The cultivation of alfalfa is crucial for farmers as it is an excellent forage crop with a high nitrogen-fixing capacity, making it indispensable in crop rotations. Breeding programs face challenges in advancing more rapidly in genetic diversity to achieve a higher heterosis effect and, consequently, greater yield. In this study, we used 30 alfalfa varieties, which were used for molecular analyses by 5 ISSR primers and 13 RAPD primers. The results obtained highlighted the greater efficiency of ISSR primers in identifying genetic diversity. On the other hand, the simultaneous use of ISSR + RAPD allowed for clearer clustering of varieties that enabled more efficiently distinguishing the genetic diversity. The most efficient ISSR primer, A17, generated 31 polymorphic bands, while the most efficient RAPD primer, L-07, generated only 21 bands. Varieties such as "Pastoral" and "F1413-02" exhibited low similarity coefficients (0.39), suggesting their potential for enhancing genetic variability through crossbreeding, thereby increasing the potential of achieving a greater heterosis effect. Conversely, varieties with high similarity coefficients, such as "Cristal" and "Viking" (0.81) are less suited for this purpose. The correlation between specific markers highlights that using both ISSR and RAPD markers together offers a clear understanding of genetic diversity in alfalfa, aiding in more effective selection for crossbreeding in breeding programs.

Authors

Institutions

Publication Details

Journal
Plants
Published
2024-10-11
DOI
https://doi.org/10.3390/plants13202853
Citations
8
Primary Topic
Genetic and Environmental Crop Studies
Type
article
Field-Weighted Citation Impact
4.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Genetic Diversity in Alfalfa Using DNA Polymorphism Analysis and Statistical Tools

Gabriela Gorinoiu, Ioan Sărac, C. Petolescu, Violeta Turcuș et al.
8 citations
Plants
Genetic and Environmental Crop Studies
4.80
article

Assessment of Genetic Diversity in Alfalfa Using DNA Polymorphism Analysis and Statistical Tools

Gabriela Gorinoiu, Ioan Sărac, C. Petolescu, Violeta Turcuș, Mariana Ganea, Nicolae Marinel HORABLAGA, G. Fora, Emilian Onișan, A. Turc, S. Popescu, D. Camen, I. Petrescu, Alina-Maria Țenche-Constantinescu
article en
8 citations

Abstract

The cultivation of alfalfa is crucial for farmers as it is an excellent forage crop with a high nitrogen-fixing capacity, making it indispensable in crop rotations. Breeding programs face challenges in advancing more rapidly in genetic diversity to achieve a higher heterosis effect and, consequently, greater yield. In this study, we used 30 alfalfa varieties, which were used for molecular analyses by 5 ISSR primers and 13 RAPD primers. The results obtained highlighted the greater efficiency of ISSR primers in identifying genetic diversity. On the other hand, the simultaneous use of ISSR + RAPD allowed for clearer clustering of varieties that enabled more efficiently distinguishing the genetic diversity. The most efficient ISSR primer, A17, generated 31 polymorphic bands, while the most efficient RAPD primer, L-07, generated only 21 bands. Varieties such as "Pastoral" and "F1413-02" exhibited low similarity coefficients (0.39), suggesting their potential for enhancing genetic variability through crossbreeding, thereby increasing the potential of achieving a greater heterosis effect. Conversely, varieties with high similarity coefficients, such as "Cristal" and "Viking" (0.81) are less suited for this purpose. The correlation between specific markers highlights that using both ISSR and RAPD markers together offers a clear understanding of genetic diversity in alfalfa, aiding in more effective selection for crossbreeding in breeding programs.

PlantsVol. 13(20)
University of Oradea (RO), West University of Timişoara (RO), Vasile Goldis Western University of Arad (RO), Academy of Agricultural and Forestry Sciences (RO)
Zero hunger
Openalex Percentile: Top 5%
Genetic and Environmental Crop Studies
4.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.