scholarly journals The use and misuse of regression models in landscape genetic analyses

2020 ◽  
Vol 30 (1) ◽  
pp. 37-47 ◽  
Author(s):  
William E. Peterman ◽  
Nathaniel S. Pope
Keyword(s):  
Regression Models ◽  
Genetic Analyses ◽  
Landscape Genetic

scholarly journals Landscape genetic analyses of Cervus elaphus and Sus scrofa: comparative study and analytical developments

Heredity ◽  
2019 ◽  
Vol 123 (2) ◽  
pp. 228-241 ◽  
Author(s):  
Simon Dellicour ◽  
Jérôme G. Prunier ◽  
Sylvain Piry ◽  
Marie-Christine Eloy ◽  
Sabine Bertouille ◽  
...  
Keyword(s):  
Comparative Study ◽  
Cervus Elaphus ◽  
Sus Scrofa ◽  
Genetic Analyses ◽  
Landscape Genetic

Landscape genetic analyses reveal fine-scale effects of forest fragmentation in an insular tropical bird

2017 ◽  
Vol 26 (19) ◽  
pp. 4906-4919 ◽  
Author(s):  
Aurélie Khimoun ◽  
William Peterman ◽  
Cyril Eraud ◽  
Bruno Faivre ◽  
Nicolas Navarro ◽  
...  
Keyword(s):  
Forest Fragmentation ◽  
Scale Effects ◽  
Fine Scale ◽  
Genetic Analyses ◽  
Tropical Bird ◽  
Landscape Genetic

scholarly journals Genetic analyses of protein yield in dairy cows applying random regression models with time-dependent and temperature x humidity-dependent covariates

2011 ◽  
Vol 94 (8) ◽  
pp. 4129-4139 ◽  
Author(s):  
K. Brügemann ◽  
E. Gernand ◽  
U.U. von Borstel ◽  
S. König
Keyword(s):  
Dairy Cows ◽  
Regression Models ◽  
Protein Yield ◽  
Time Dependent ◽  
Random Regression ◽  
Genetic Analyses

Genetic analyses of partial egg production in Japanese quail using multi-trait random regression models

2017 ◽  
Vol 58 (6) ◽  
pp. 624-628
Author(s):  
K. Karami ◽  
S. Zerehdaran ◽  
B. Barzanooni ◽  
E. Lotfi
Keyword(s):  
Japanese Quail ◽  
Regression Models ◽  
Egg Production ◽  
Random Regression ◽  
Genetic Analyses

scholarly journals Waste not, want not: microsatellites remain an economical and informative technology for conservation genetics

2021 ◽  
Author(s):  
Samantha Hauser ◽  
Giridhar Athrey ◽  
Paul Leberg
Keyword(s):  
Genetic Diversity ◽  
Population Genetic ◽  
Genetic Research ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genetic Analyses ◽  
Source Populations ◽  
Landscape Genetic ◽  
Source Sink ◽  
Population Genetic Analyses

Comparisons of microsatellite and single-nucleotide polymorphisms (SNPs) have found that SNPs outperform microsatellites in population genetic analyses, calling into the question the continued utility of microsatellites in population and landscape genetics. Yet highly polymorphic markers may be of value in species that have reduced genetic variation. This study repeated analyses previously done using microsatellites with SNPs developed from ddRAD sequencing in the black-capped vireo source-sink system. SNPs provided greater resolution of genetic diversity, population differentiation, and migrant detection but could not reconstruct parentage relationships due to insufficient heterozygosities. The biological inferences made by both sets of markers were similar: asymmetrical gene flow from source populations to the remaining sink populations. With the landscape genetic analyses, we found different results between the two molecular markers, but associations of the top environmental features (riparian, open habitat, agriculture, and human development) with dispersal estimates were shared between marker types. Despite the higher precision of SNPs, we find that microsatellites effectively uncover population processes and patterns and are superior for parentage analyses in this species with reduced genetic diversity. This study illustrates the continued applicability and relevance of microsatellites in population genetic research.

Genetic analyses of stillbirth in relation to litter size using random regression models

2010 ◽  
Vol 88 (12) ◽  
pp. 3800-3808 ◽  
Author(s):  
C. Y. Chen ◽  
I. Misztal ◽  
S. Tsuruta ◽  
W. O. Herring ◽  
J. Holl ◽  
...  
Keyword(s):  
Litter Size ◽  
Regression Models ◽  
Random Regression ◽  
Genetic Analyses

Determining the number and location of genetically differentiated population fragments

2017 ◽  
Author(s):  
Richard Frankham ◽  
Jonathan D. Ballou ◽  
Katherine Ralls ◽  
Mark D. B. Eldridge ◽  
Michele R. Dudash ◽  
...  
Keyword(s):  
Genetic Differentiation ◽  
Paradigm Shift ◽  
Random Mating ◽  
Genetic Erosion ◽  
Geographic Location ◽  
Current Response ◽  
Genetic Management ◽  
Genetic Analyses ◽  
Geographic Locations ◽  
Landscape Genetic

The number and geographic location of genetically differentiated populations must be identified to determine if fragmented populations require genetic management. Clustering of related genotypes to geographic locations (landscape genetic analyses) is used to determine the number of populations and their boundaries, with the simplest analyses relying on random mating within, but not across populations. Evidence of genetic differentiation among populations indicates either that they have drifted apart (and are likely inbred) and/or that the populations are adaptively differentiated. The current response when populations are genetically differentiated is usually to recommend separate management, but this is often ill-advised. A paradigm shift is needed where evidence of genetic differentiation among populations is followed by an assessment of whether populations are suffering genetic erosion, whether there are other populations to which they could be crossed, and whether the crosses would be beneficial, or harmful.

Landscape genetic analyses reveal host association of mitochondrial haplotypes in the Asian corn borer, Ostrinia furnacalis

2020 ◽  
Author(s):  
Zhaoke Dong ◽  
Chao Li ◽  
Qingqing Zhang ◽  
Lili Li ◽  
Zengbin Lu ◽  
...  
Keyword(s):  
Ostrinia Furnacalis ◽  
Host Association ◽  
Genetic Analyses ◽  
Corn Borer ◽  
Mitochondrial Haplotypes ◽  
Asian Corn Borer ◽  
Landscape Genetic
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