PARTHENOGENESIS AND GENETIC VARIABILITY. II. ONE-LOCUS MODELS FOR VARIOUS DIPLOID POPULATIONS
نویسندگان
چکیده
منابع مشابه
The decay of genetic variability in geographically structured populations. II.
The geographical structure of a population distributed continuously and homogeneously along an infinite linear habitat is explored. The analysis is restricted to a single locus in the absence of selection, and every mutant is assumed to be new to the population. An explicit formula is derived for the probability that two homologous genes separated by a given distance at any time t are the same ...
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The inference of haplotype pairs directly from unphased genotype data is a key step in the analysis of genetic variation in relation to disease and pharmacogenetically relevant traits. Most popular methods such as Phase and PL do require either the coalescence assumption or the assumption of linkage between the single-nucleotide polymorphisms (SNPs). We have now developed novel approaches that ...
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HE scarcity of genetically defined variants has been onerous in the case of amphibians and other organisms used in experimental embryology, the major interest of the authors. Few mutants have been described in these orgauisms and fewer yet have been mapped (LINDSLEY, FANKHAUSER and HUMPHREY 1956; HUMPHREY 1959). Genetic studies of amphibians have dealt primarily with Ambystoma mexicanum, Xenopu...
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The experiment was conducted using Randomized Complete Block Design with Row Column arrangement and three replications. Grain yield, phenological and other traits were recorded. The Residual Maximum Likelihood (REML) combined analysis of variance across locations showed very highly significant (P
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The experiment was conducted using Randomized Complete Block Design with Row Column arrangement and three replications. Grain yield, phenological and other traits were recorded. The Residual Maximum Likelihood (REML) combined analysis of variance across locations showed very highly significant (P
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ژورنال
عنوان ژورنال: Genetics
سال: 1970
ISSN: 1943-2631
DOI: 10.1093/genetics/66.2.369