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1
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
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Analysis of single gene multitrait effects in livestock by the use of Gibbs sampling

100%
Dobek A., Molinski K., Szydlowski M., Szwaczkowski T.
Journal of Applied Genetics
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2000
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tom 41
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nr 4
2

A plant mixture model against Plasmopara halstedii [sunflower downy mildew]

72%
Sakr N.
Journal of Plant Protection Research
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2010
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tom 50
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nr 2
125-129
Sunflower downy mildew caused by Plasmopara halstedii is one of the most potentially important diseases. So far, a complete, major gene resistance (Pl) has been used successfully. But, with the appearance of eight races in France since 2000, research on more durable resistance was undertaken. In this study, we presented new results concerning the evolution of pathogenicity in P. halstedii under conditions of re-enforced infection and different Pl gene selection pressure. Moreover, we studied the evolution of virulence and aggressiveness of P. halstedii under a mixture model of sunflower inbred lines carrying the two types of resistance (qualitative and quantitative). This sunflower model may enhance durable resistance against P. halstedii.
3
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Simulation study on the application of Gibbs sampling for major gene detection in a population of laying hens

72%
Szydlowski M., Szwaczkowski T.
Journal of Applied Genetics
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1998
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tom 39
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nr 4
A method for the detection of segregating major genes based on the analysis of estimated marginal posterior major gene variance density was examined. The properties of the method were investigated using data sets simulated for a real population of laying hens consisting of eleven generations. Marginal posterior densities of model parameters were estimated by the Gibbs sampling approach proposed by Janss et al. (1995). With the data of about 4000 observations it was possible to detect a major gene responsible for one third of the genetic variance and one tenth of the phenotypic variance, irrespectively of the degree of dominance at the major locus. The inference based on the posterior marginal major gene variance can be sensitive to skewness of the data. It was shown that skewness of 0.2 can lead to a false detection of a major gene. The method is robust against a non-genetic mixture of normal distributions.
4

Genetic determination of pig's carcass meat deposition and hypothesis of a major gene. Principles for the organization of selection on this criterion

58%
Burlot T., Naveau J.
Animal Science Papers and Reports. Supplement
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2003
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tom 21
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nr 1
5

Investigation of major gene for milk yield, milking speed, dry matter intake, and body weight in dairy cattle

58%
Karacaoren B., Kadarmideen H. N., Janss L. L. G.
Journal of Applied Genetics
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2006
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tom 47
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nr 4
The main aim of this study was to determine if there exist any major gene for milk yield (MY), milking speed (MS), dry matter intake (DMI), and body weight (BW) recorded at various stages of lactation in first-lactation dairy cows (2543 observations from 320 cows) kept at the research farm of the Swiss Federal Institute of Technology between April 1994 and April 2004. Data were modelled based a simple repeatability covariance structure and analysed by using Bayesian segregation analyses. Gibbs sampling was used to make statistical inferences on posterior distributions; inferences were based on a single run of the Markov chain for each trait with 500 000 samples, with each 10th sample collected because of the high correlation among the samples. The posterior mean (±SD) of major gene variance was 2.61 (±2.46) for MY, 0.83 (±1.26) for MS, 4.37 (±2.34) for DMI, and 2056.43 (±665.67) for ВW. Highest posterior density regions for 3 of the 4 traits did not include 0 (except MS), which supported the evidence for major gene. With additional tests for agreement with Mendelian transmission probabilities, we could only confirm the existence of a major gene for MY, but not for MS, DMI, and BW. Expected Mendelian transmission probabilities and their model fits were also compared.
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