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Pregled bibliografske jedinice broj: 877459

Analysis of population structure in bread wheat using SSR markers


Sonja Petrović, Tihomir Čupić, Sunčica Guberac, Andrijana Rebekić, Sonja Vila
Analysis of population structure in bread wheat using SSR markers // Zbornik radova 52. hrvatskog i 12. međunarodnog simpozij agronoma / Vila, S ; Antunović, Z. (ur.).
Osijek: Poljoprivredni fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017. str. 242-246 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 877459 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Analysis of population structure in bread wheat using SSR markers

Autori
Sonja Petrović, Tihomir Čupić, Sunčica Guberac, Andrijana Rebekić, Sonja Vila

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Zbornik radova 52. hrvatskog i 12. međunarodnog simpozij agronoma / Vila, S ; Antunović, Z. - Osijek : Poljoprivredni fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017, 242-246

Skup
52. hrvatski i 12. međunarodni simpozij agronoma

Mjesto i datum
Dubrovnik, Hrvatska, 12.02.2017. - 17.02.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
bread wheat ; genotypes ; SSR markers ; genetic structure

Sažetak
Forty bread wheat cultivars were analysed with 26 SSR markers scattered among A, B and D genomes. Set of 26 microsatellite primer pairs yielded total of 108 different alleles with 3.88 alleles per locus with average genetic diversity (He) of 0.57. Population structure estimates average distances between individuals in same cluster were: cluster 1 was 0.4750, cluster 2, 0.4994 and in cluster 3 was 0.4328. First cluster was represented by Croatian cultivars, from Bc Institute (5) and Agricultural Institute Osijek (8). The second cluster was clearly represented by foreign genotypes from France (2) and Austria (5), together with three Croatian genotypes. The last, third, cluster revealed that majority (11) of genotypes clustered had membership probabilities from 80 to 98%, gathered around two varieties Srpanjka and Demetra. All 40 genotypes were largely separated by origin, and then by common ancestors their pedigree.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija), Biotehnologija



POVEZANOST RADA


Projekti:
HRZZ-UIP-2013-11-2000 - Stvaranje pšenice za budućnost-potraga za novim genima iz postojećih izvora (PHENOWHEAT) (Petrović, Sonja, HRZZ - 2013-11) ( CroRIS)

Ustanove:
Poljoprivredni institut Osijek,
Fakultet agrobiotehničkih znanosti Osijek


Citiraj ovu publikaciju:

Sonja Petrović, Tihomir Čupić, Sunčica Guberac, Andrijana Rebekić, Sonja Vila
Analysis of population structure in bread wheat using SSR markers // Zbornik radova 52. hrvatskog i 12. međunarodnog simpozij agronoma / Vila, S ; Antunović, Z. (ur.).
Osijek: Poljoprivredni fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017. str. 242-246 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Sonja Petrović, Tihomir Čupić, Sunčica Guberac, Andrijana Rebekić, Sonja Vila (2017) Analysis of population structure in bread wheat using SSR markers. U: Vila, S. & Antunović, Z. (ur.)Zbornik radova 52. hrvatskog i 12. međunarodnog simpozij agronoma.
@article{article, year = {2017}, pages = {242-246}, keywords = {bread wheat, genotypes, SSR markers, genetic structure}, title = {Analysis of population structure in bread wheat using SSR markers}, keyword = {bread wheat, genotypes, SSR markers, genetic structure}, publisher = {Poljoprivredni fakultet Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, year = {2017}, pages = {242-246}, keywords = {bread wheat, genotypes, SSR markers, genetic structure}, title = {Analysis of population structure in bread wheat using SSR markers}, keyword = {bread wheat, genotypes, SSR markers, genetic structure}, publisher = {Poljoprivredni fakultet Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Dubrovnik, Hrvatska} }




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