Craig A. Walling

TL;DR: A practical guide for ecologists interested in exploring the potential to apply this quantitative genetic method in their research, by outlining key concepts in quantitative genetics and how an animal model estimates relevant quantitative genetic parameters, such as heritabilities or genetic correlations.

TL;DR: Video monitoring combined with DNA profiling of all of the members of a wild population of field crickets across two generations to capture the factors predicting the reproductive success of males and females confirmed the fundamental prediction that males vary more in their reproductive success than females.

TL;DR: The first formal meta-analysis to test whether there is an overall association between TL and subsequent mortality risk in vertebrates other than humans and model laboratory rodents found an overall significant negative association implying that short telomeres are associated with increased mortality risk, which was robust to evident publication bias.

TL;DR: Here, it is argued that the apparent conflict between quantitative genetic theory and common sense is resolved by recognition of indirect genetic effects (IGEs), and that IGEs likely provide a widespread but poorly recognized source of evolutionary constraint for traits influenced by competition.

TL;DR: The use of additional information allows MasterBayes and COLONY2 to assign more correct paternities, whereas their use of individual‐ rather than population‐level confidence generates fewer erroneous assignments, and it is suggested that maximal information may be gained by combining outputs from different programs.