Volume 13, Issue 7 (2011)
JAST 2011, 13(7): 1147-1161 |
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Hadadinejad M, Ebadi A, Naghavi M R, Nikkhah R. Genealogy and Molecular Diversity of Iranian Grapevine Progenies. JAST 2011; 13 (7) :1147-1161
URL: http://jast.modares.ac.ir/article-23-12232-en.html
URL: http://jast.modares.ac.ir/article-23-12232-en.html
1- Department of Horticulture, College of Agriculture and Natural Resources, University of Tehran, Karaj, Islamic Republic of Iran.
2- Department of Agronomy and Plant Breeding, College of Agriculture, University of Tehran, Karaj, Islamic Republic of Iran.
3- Department of Horticultural Science, College of Agriculture, Persian Gulf University, Boushehr, Islamic Republic of Iran.
2- Department of Agronomy and Plant Breeding, College of Agriculture, University of Tehran, Karaj, Islamic Republic of Iran.
3- Department of Horticultural Science, College of Agriculture, Persian Gulf University, Boushehr, Islamic Republic of Iran.
Abstract: (8150 Views)
Grapes are among the world most planted horticultural crops. Since the last century, attempts have been made to improve the quality of grapes in the world. Meanwhile, the necessity of having knowledge about the history of progenies families led to the link between genealogy and breeding. Considering some previous mislabeling, in order to find out the accuracy of the controlled crosses as well as determining the possible parents and genealogy of the hybrid progenies, 23 grapevine genotypes were studied by using 14 SSRs loci. These progenies included 12 promising lines selected from 22 crosses as well as their parents that included four seedless and seven seeded cultivars from Iranian Grape Breeding Program, The highest similarity between a female parent and its progenies, which was obtained from dice similarity coefficient and cluster analysis, was about 0.65, belonging to 'Alibaba' and its three progenies (S54, S55, S40). Results rejected any cross-selfing in female parents and also discriminated progenies from parents. Due to possible common genetic backgrounds in the parents, assigning progenies to their parents by cluster analysis or allele counting was impossible. Therefore, parentage analyses were done within likelihood based assignment approach using CERVUS 3.0 software. By this approach, true parents could be identified from candidate parents based on calculated positive and negative LOD scores. Also, by using this approach, genotyping errors, which were previously derived from low number of SSR loci or similarity in the parents' backgrounds, decreased in the final results. In addition, full sib and half sib relationships between S55 and S54 with S40 were obvious. Furthermore, wherever prevention of inbreeding depression is required, the results could be used to select convenient parents for backcrossing.
Received: 2011/09/22 | Accepted: 2011/09/22 | Published: 2011/09/22
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