Genetic diversity among tall fescue ecotypes using agro-morphological traits, nutritional values and AFLP molecular markers

Authors

  • Fatemeh Amini Department of Agronomy and Plant Breeding Sciences, College of Abouraihan, University of Tehran, P. O. Box: 33916-53755, Tehran, Iran.
  • Hossein Ramshini Department of Agronomy and Plant Breeding Sciences, College of Abouraihan, University of Tehran, P. O. Box: 33916-53755, Tehran, Iran.
  • Mohamad Ali Norouzian Department of Agronomy and Plant Breeding Sciences, College of Abouraihan, University of Tehran, P. O. Box: 33916-53755, Tehran, Iran.
  • Peyman Masoomi Department of Agronomy and Plant Breeding Sciences, College of Abouraihan, University of Tehran, P. O. Box: 33916-53755, Tehran, Iran.
Abstract:

This study was carried out to compare agro-morphological traits and nutritive value of 25 tall fescue (Festuca arundinacea) ecotypes grown in Tehran, Iran. The experiments were carried out in a split plot design during 2016-2018 growing seasons. The results showed that there was a significant genetic variation in existing germplasm. The highest heritability was related to dry forage yield and collar diameter (88%). The low heritability levels of forage quality related traits indicated that environmental effects play a greater role in controlling this trait. The mean comparison showed that Isfahan ecotype 11 had the highest number of fertile shoots, dry forage yield and diameter of collar while ecotypes of Shahrood ecotype 9 had the highest percentage of dry mater and Dauphine genotype with 16.05% had the highest protein percentage. The number of fertile shoots (NFS) had a positive and significant correlation with dry forage yield (DFY) and plant height (PH). DFY was positively correlated with NDF (0.71) and negatively correlated with CP (-0.62). In AFLP analysis out of the 463 scored bands, 339 (68%) were polymorphic. PIC values ranged from 0.34 (EcoACA-MseCTA) to 0.10 (EcoAGC-MseCAC). The results showed that genetic distances between ecotypes based on agro-morphologic characters and nutritional values were correlated based on AFLP (r=0.41, P = 0.05) results. Based on cluster analysis all genotypes were classified into 4 genotypic groups. Considerable genetic variation and high heritability estimates indicate that direct selection for increasing forage yield could be promising. However, breeding nutritional values of forage quality might be more difficult due to environmental effects.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Genetic Diversity Evaluation of Lemon balm (Melissa officinalis L.) Ecotypes Using Morphological Traits and Molecular Markers

Genetic diversity of 12 lemon balm ecotypes was evaluated using agronomic traits as well as ISSR and RAPD markers. Results of analysis of variance showed high diversity among the studied ecotypes. Cluster analysis using UPGMA method grouped the ecotypes into three different groups based on the agronomic traits. Twelve ISSR primers created 106 polymorphic bands among the studied ecotypes. An ISS...

full text

Assessment of Genetic Diversity among Wild Populations of Achillea bieberstenii Afan. Using Agro-morphological and Germination Traits

There is substantial diversity in Achillea biebersteinii plants in Iran. It has considerable different biological activities including antibacterial, antifungal, antioxidant, insecticidal, herbicidal and wound healing. Research improvement for medicinal plants depends on the available genetic diversity. The assessment of genetic variability could increase the information for breeding programs. ...

full text

Genetic diversity and relationships among traits in potato genotypes using agronomic traits and molecular marker (SSR).

The molecular marker (SSR) has been used to investigate the markers associated with the agronomic traits including days to 50% flowering, tube ring time, days to maturity, plant height, the number of main stems per plant, the number of tubers per plant, dry matter content, main stem diameter, a single tuber weight, average single tuber weight, and the total yield in potato genotypes. Ten primer...

full text

Genetic diversity of Neotyphodium fungal endophytes in three Iranian grass species using AFLP molecular markers

Genetic diversity of fungal endophytes, Neotyphodium species, was studied in grasses Festuca arundinacea, F. pratensis and Lolium perenne using AFLP  markers. Fungi were isolated from the host leaf sheaths and Neotyphodium species were selected based on morphological characteristics. To confirm identity of selected fungi belonging to the genus Neotyphodium, polymerase chain reaction was perform...

full text

evaluation of genetic diversity of sugar beet (beta vulgaris l.) crossing parents using agro-morphological traits and molecular markers

eight pollinators (as pollen parents) and four cms lines (as seed parents) differing in salinity and drought tolerance were evaluated using agro-morphological traits and microsatellite markers. root yield, leaf weight, sugar content, sodium content (na+), potassium content (k+), a-amino nitrogen content, alkalinity coefficient, molasses sugar, white sugar content, extraction coefficient of suga...

full text

Evaluation of Genetic Diversity in Iranian Violet (Viola spp) Populations Using Morphological and RAPD Molecular Markers

Recognition of genetic reserves and desirable genes is the basis of breeding programs. So far, in Iran, due to the lack of recognition of genetic resources, a considerable breeding program has not been done on native plants. The study of the genetic diversity of violets as a native plant with ornamental and medicinal uses is the great importance in advancing the breeding goals of this plant. So...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 7  issue 2

pages  54- 64

publication date 2018-10-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023