Marker Assisted Selection in Citrus Rootstock Breeding Based on a Major Gene Locus ‘Tyr1’ Controlling Citrus Nematode Resistance

2010 ◽  
Vol 9 (4) ◽  
pp. 557-567
Author(s):  
Xu XIANG ◽  
Zhan-ao DENG ◽  
Chun-xian CHEN ◽  
Fred G Gmitter ◽  
Kim Bowman
2002 ◽  
Vol 74 (2) ◽  
pp. 223-232 ◽  
Author(s):  
K. Marshall ◽  
J. Henshall ◽  
H. J. J. van der Werf

AbstractA simulation study, based on a closed sheepmeat breeding nucleus and incorporating marker-assisted selection (MAS), was used to evaluate response when different proportions of animals were marker typed. Two traits were included in the simulation: trait 1, a production trait where phenotypes were available prior to selection, and trait 2, a carcass trait where phenotypic information was not available on breeding animals. Selection on an index which comprised estimated breeding values (EBVs) for both traits was possible by calculating EBVs for trait 2 as the sum of EBVs for a polygenic component, obtained from a genetic regression, and EBVs for a major gene component, obtained by inferring genotypes at a major gene locus from a linked marker locus. Different marker typing strategies were evaluated. These differed in the criteria used to select progeny for typing, and in the proportion of male and female progeny selected. Typing progeny that were likely to be used as a breeding animal, but excluding those whose marker genotype could be predicted with reasonable certainty, was an efficient genotyping strategy. Close to maximum gain at the major gene locus was achieved when only a proportion of animals were marker typed (for example 90% of maximum response was achieved with a little over one-third of the selection candidates marker typed). This indicates the potential for substantial savings in relation to the cost of marker typing in commercial breeding flocks.


2011 ◽  
Vol 30 (5) ◽  
pp. 883-900 ◽  
Author(s):  
Dominique Dambier ◽  
Hamid Benyahia ◽  
Giovanni Pensabene-Bellavia ◽  
Yildiz Aka Kaçar ◽  
Yann Froelicher ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-5
Author(s):  
Sunil Kumar Biraggari ◽  
K. Krishna Mohana Reddy ◽  
J. Sudhakar ◽  
Shiva Shankar Bugude ◽  
Rajesh Nichenametla ◽  
...  

Papillion-Lefèvre Syndrome is a very rare disorder of autosomal recessive inheritance distinguished by palmar plantar hyperkeratosis and early onset of periodontitis affecting the dentition. Genetic studies have identified a mutation in the major gene locus of chromosome 11q14 with loss of function. Cathepsin C gene is to be responsible for Papillion-Lefèvre Syndrome. The present case report describes a 13-year-old female, who visited the Department of Periodontology with the chief compliant of bleeding gums and loose teeth. She presented with the signs and symptoms of Papillion-Lefèvre Syndrome. The patient had premature shedding of her deciduous dentition. On clinical examination, extraorally, the patient presented with persistent thickening, flaking, and scaling of the skin of palms and soles. Her intraoral examination revealed gingival inflammation, abscess formation, and periodontal pockets. Her intraoral radiographs showed bone loss involving the central incisors and molars. The patient underwent periodontal therapy and is under maintenance.


2000 ◽  
Vol 100 (7) ◽  
pp. 1010-1017 ◽  
Author(s):  
P. Ling ◽  
L. W. Duncan ◽  
Z. Deng ◽  
D. Dunn ◽  
X. Hu ◽  
...  

Author(s):  
Maria Angeles Forner-Giner ◽  
Alberto Continella ◽  
Jude W. Grosser

2007 ◽  
Vol 2007 ◽  
pp. 153-153
Author(s):  
Mehdi Aminafshar ◽  
Mojtaba Hosseinpour Mashhadi ◽  
Laleh jamsi

Now a days, scientists like to find about association of major genes and quantitative traits. In the first step, breeding value of quantitative trait should be predicted and genotype of animals for special major gene locus should be detected. Then, GLM analyses are used to compare all levels of genotypes and study about their association with quantitative traits. The accuracy of prediction of breeding value may influence the result of analyses. Different models with different accuracy of prediction may be utilized to predict breeding value. In this article, different models, with and without using the Genotypic Data of Major Genes Loci were used in order to identify the better model for genetic evaluation in this situation.


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