Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes
2017
Autori
Ben Rhouma, HelaTaški-Ajduković, Ksenija
Zitouna, Nadia
Sdouga, Dorra
Milić, Dragan
Trifi-Farah, Neila
Članak u časopisu (Objavljena verzija)
Publisher's own license
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
The molecular diversity studies of alfalfa (Medicago sativa L.) germplasm could contribute to a more precise selection of parental populations in many breeding programs. Sequence-related amplified polymorphism (SRAP) markers were used to assess the genetic diversity of 110 individual plants from 13 selected alfalfa cultivars, landraces, and natural populations from Tunisia, Australia, Serbia, and Kazakhstan. Ten polymorphic SRAP primer combinations generated 137 alleles with 0.90 polymorphism information content. The percentage of polymorphic bands per genotype ranged from 57.66% to 70.07% with a mean of 64.29% and overall value of 100%. The genotype Sardi 10 had the highest value for the effective number of alleles; Nei's gene diversity and Shannon information index, exhibited the highest variability level (Ne = 1.453, He = 0.259, I = 0.381, respectively), whereas the genotype Nera exhibited the lowest variability level (Ne = 1.359, He = 0.211, I = 0.317, respectively). The AMOVA anal...ysis showed that 68% of the variance was within the genotypes; this was in line with the coefficient of genetic differentiation (Gst = 0.370). The genetic relatedness of alfalfa individuals analyzed by the neighbor-joining dendrogram was consistent with the Bayesian model-based clustering approach. The exceptions were individuals from genotypes Slavija and Nera, which were grouped separately by STRUCTURE analyses. These results provide useful information for the management of alfalfa genetic resources and the rational use of local and foreign alfalfa populations in breeding programs focused on the development of new, high-yielding cultivars more adapted to drought conditions in North Africa.
Ključne reči:
Alfalfa genotypes / breeding / genetic relationship / Medicago sativa / SRAP markersIzvor:
Chilean Journal of Agricultural Research, 2017, 77, 4, 332-339Izdavač:
- Inst Investigaciones Agropecuarias, Chillan
Finansiranje / projekti:
- Tunisian Ministry of Higher Education and Scientific Research [LabB02]
- Povećanje tržišnog značaja krmnih biljaka oplemenjivanjem i optimizacijom tehnologije proizvodnje semena (RS-MESTD-Technological Development (TD or TR)-31024)
DOI: 10.4067/S0718-58392017000400332
ISSN: 0718-5839
WoS: 000416141300006
Scopus: 2-s2.0-85039903531
Kolekcije
Institucija/grupa
FiVeRTY - JOUR AU - Ben Rhouma, Hela AU - Taški-Ajduković, Ksenija AU - Zitouna, Nadia AU - Sdouga, Dorra AU - Milić, Dragan AU - Trifi-Farah, Neila PY - 2017 UR - http://fiver.ifvcns.rs/handle/123456789/1704 AB - The molecular diversity studies of alfalfa (Medicago sativa L.) germplasm could contribute to a more precise selection of parental populations in many breeding programs. Sequence-related amplified polymorphism (SRAP) markers were used to assess the genetic diversity of 110 individual plants from 13 selected alfalfa cultivars, landraces, and natural populations from Tunisia, Australia, Serbia, and Kazakhstan. Ten polymorphic SRAP primer combinations generated 137 alleles with 0.90 polymorphism information content. The percentage of polymorphic bands per genotype ranged from 57.66% to 70.07% with a mean of 64.29% and overall value of 100%. The genotype Sardi 10 had the highest value for the effective number of alleles; Nei's gene diversity and Shannon information index, exhibited the highest variability level (Ne = 1.453, He = 0.259, I = 0.381, respectively), whereas the genotype Nera exhibited the lowest variability level (Ne = 1.359, He = 0.211, I = 0.317, respectively). The AMOVA analysis showed that 68% of the variance was within the genotypes; this was in line with the coefficient of genetic differentiation (Gst = 0.370). The genetic relatedness of alfalfa individuals analyzed by the neighbor-joining dendrogram was consistent with the Bayesian model-based clustering approach. The exceptions were individuals from genotypes Slavija and Nera, which were grouped separately by STRUCTURE analyses. These results provide useful information for the management of alfalfa genetic resources and the rational use of local and foreign alfalfa populations in breeding programs focused on the development of new, high-yielding cultivars more adapted to drought conditions in North Africa. PB - Inst Investigaciones Agropecuarias, Chillan T2 - Chilean Journal of Agricultural Research T1 - Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes EP - 339 IS - 4 SP - 332 VL - 77 DO - 10.4067/S0718-58392017000400332 ER -
@article{ author = "Ben Rhouma, Hela and Taški-Ajduković, Ksenija and Zitouna, Nadia and Sdouga, Dorra and Milić, Dragan and Trifi-Farah, Neila", year = "2017", abstract = "The molecular diversity studies of alfalfa (Medicago sativa L.) germplasm could contribute to a more precise selection of parental populations in many breeding programs. Sequence-related amplified polymorphism (SRAP) markers were used to assess the genetic diversity of 110 individual plants from 13 selected alfalfa cultivars, landraces, and natural populations from Tunisia, Australia, Serbia, and Kazakhstan. Ten polymorphic SRAP primer combinations generated 137 alleles with 0.90 polymorphism information content. The percentage of polymorphic bands per genotype ranged from 57.66% to 70.07% with a mean of 64.29% and overall value of 100%. The genotype Sardi 10 had the highest value for the effective number of alleles; Nei's gene diversity and Shannon information index, exhibited the highest variability level (Ne = 1.453, He = 0.259, I = 0.381, respectively), whereas the genotype Nera exhibited the lowest variability level (Ne = 1.359, He = 0.211, I = 0.317, respectively). The AMOVA analysis showed that 68% of the variance was within the genotypes; this was in line with the coefficient of genetic differentiation (Gst = 0.370). The genetic relatedness of alfalfa individuals analyzed by the neighbor-joining dendrogram was consistent with the Bayesian model-based clustering approach. The exceptions were individuals from genotypes Slavija and Nera, which were grouped separately by STRUCTURE analyses. These results provide useful information for the management of alfalfa genetic resources and the rational use of local and foreign alfalfa populations in breeding programs focused on the development of new, high-yielding cultivars more adapted to drought conditions in North Africa.", publisher = "Inst Investigaciones Agropecuarias, Chillan", journal = "Chilean Journal of Agricultural Research", title = "Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes", pages = "339-332", number = "4", volume = "77", doi = "10.4067/S0718-58392017000400332" }
Ben Rhouma, H., Taški-Ajduković, K., Zitouna, N., Sdouga, D., Milić, D.,& Trifi-Farah, N.. (2017). Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes. in Chilean Journal of Agricultural Research Inst Investigaciones Agropecuarias, Chillan., 77(4), 332-339. https://doi.org/10.4067/S0718-58392017000400332
Ben Rhouma H, Taški-Ajduković K, Zitouna N, Sdouga D, Milić D, Trifi-Farah N. Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes. in Chilean Journal of Agricultural Research. 2017;77(4):332-339. doi:10.4067/S0718-58392017000400332 .
Ben Rhouma, Hela, Taški-Ajduković, Ksenija, Zitouna, Nadia, Sdouga, Dorra, Milić, Dragan, Trifi-Farah, Neila, "Assessment of the genetic variation in alfalfa genotypes using SRAP markers for breeding purposes" in Chilean Journal of Agricultural Research, 77, no. 4 (2017):332-339, https://doi.org/10.4067/S0718-58392017000400332 . .