0000000001174427

AUTHOR

Francisco Garcia-gonzalez

0000-0001-9515-9038

showing 2 related works from this author

Temperature as a modulator of sexual selection

2018

A central question in ecology and evolution is to understand why sexual selection varies so much in strength across taxa; it has long been known that ecological factors are crucial to this. Temperature is a particularly salient abiotic ecological factor that modulates a wide range of physiological, morphological and behavioural traits, impacting individuals and populations at a global taxonomic scale. Furthermore, temperature exhibits substantial temporal variation (e.g. daily, seasonally and inter-seasonally), and hence for most species in the wild sexual selection will regularly unfold in a dynamic thermal environment. Unfortunately, studies have so far almost completely neglected the rol…

0106 biological sciencesMaleSexual SelectionPopulationBiology010603 evolutionary biology01 natural sciencesbepress|Life Sciences|Ecology and Evolutionary BiologyGeneral Biochemistry Genetics and Molecular BiologySexual conflict03 medical and health sciencesbepress|Life SciencesHumansSelection Geneticbepress|Life Sciences|Ecology and Evolutionary Biology|Behavior and EthologyeducationSelection (genetic algorithm)030304 developmental biologyAbiotic componenteducation.field_of_study0303 health sciencesTemperaturesSexual conflictReproductive successReproductionTemperatureSelecció naturalPopulation viabilityMeta-analysisPhenotypeSexual selectionEvolutionary biology13. Climate actionSexual selectionTraitEvolutionary ecologyFemaleRapid environmental changeGeneral Agricultural and Biological Sciencesbepress|Life Sciences|Ecology and Evolutionary Biology|EvolutionEvolució (Biologia)
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COMPARING EVOLVABILITIES: COMMON ERRORS SURROUNDING THE CALCULATION AND USE OF COEFFICIENTS OF ADDITIVE GENETIC VARIATION

2012

In 1992, David Houle showed that measures of additive genetic variation standardized by the trait mean, CVA (the coefficient of additive genetic variation) and its square (IA), are suitable measures of evolvability. CVA has been used widely to compare patterns of genetic variation. However, the use of CVAs for comparative purposes relies critically on the correct calculation of this parameter. We reviewed a sample of quantitative genetic studies, focusing on sire models, and found that 45% of studies use incorrect methods for calculating CVA and that practices that render these coefficients meaningless are frequent. This may have important consequences for conclusions drawn from comparative…

GeneticsSireData transformation (statistics)BiologyHeritabilityQuantitative trait locusEvolvabilityGenetic variationStatisticsGeneticsTraitGeneral Agricultural and Biological SciencesEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Evolution
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