Genetics and Analysis of Quantitative Traits
By Suzanne M. Leal. 2001
1,214 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/d78f58e6170d1b4fab239108e7c810f7ab610a00
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Citations in the corpus
- Gene flow and local adaptation in two endemic plant species (2001, methodology): “…after removing the population eect from the ANOVAs. h 2 was estimated for each trait using the Jackknife procedure by resampling families, i.e. deleting iteratively one family and performing a new ANOVA with the new data set obtained (Bonnin et al., 1996, 1997; Lynch and Walsh, 1998, pp. 569±70).”
- Selection response of cortisol and lysozyme in rainbow trout and correlation to growth (2002, methodology): “The BLUP procedure utilises the available information optimally to provide the most accurate estimates of the breeding candidate’s genetic value (for details of BLUP, see e.g. Lynch and Walsh, 1998).”
- The evolution of personality variation in humans and other animals. (2006, background): “Though the five broad factors, or domains, are decomposable into finer facets (Costa & McCrae, 1985) and certainly do not capture all the variation in human personality (Paunonen & Jackson, 2000), there is broad consensus that they are useful representations of the major axes of variation in human…”
- The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster (2001, background): “05 sex 287 (7) 500 (13) 921 (23) 1,422 (36) genotype 1 (0) 5 (0) 58 (1) 267 (7) age 44 (1) 82 (2) 248 (6) 594 (15) sex × genotype 1 (0) 11 (0) 126 (3) 431 (11) dye 303 (8) 525 (13) 983 (25) 1536 (39)”
- Rate, molecular spectrum, and consequences of human mutation (2010, background): “Because most complex traits in humans have very high heritabilities (54), the concern then is that unique aspects of human culture, religion, and other social interactions with well intentioned short-term benefits will eventually lead to the long-term genetic deterioration of the human gene pool.”
- Rapid evolution of flowering time by an annual plant in response to a climate fluctuation (2007, methodology): “rapa conform to expectations based on the intensity of selection observed in the field (22)? This question can be addressed by comparing observed changes to those predicted from a standard model of quantitative genetics, the breeders equation: R nSh2 (14) (see Materials and Methods).”
- Inclusive composite interval mapping of quantitative trait genes. (2009, neutral): “A global search reveals epistatic interaction between QTL for early growth in the chicken.”
- Fitting and comparing models of phyletic evolution: random walks and beyond (2006, neutral): “Note that maximum likelihood estimate of variance from equation (A.4) is downwardly biased, accounting for the (N 1)/N bias observed in the estimating 2step (Lynch and Walsh 1998, p. 810).”
- Estimates of heritability and genotype–environment interactions for body weight in sea bass (Dicentrarchus labrax L.) raised under communal rearing conditions (2006, methodology): “However, the magnitude of potential bias is expected to be 6 minor when heritability is high and family sizes are large (Lynch and Walsh, 1998) which is the 7 case in our study (heritability estimates are between 0.”
- Associations between over-winter survival and resting metabolic rate in juvenile North American red squirrels (2010, positive): “As a result, quantifying a trait’s repeatability provides a useful tool for determining the maximum potential of a trait to evolve under natural selection (Bennett & Harvey 1987; Lynch & Walsh 1998; Bech, Langseth & Gabrielsen 1999; Nespolo & Franco 2007).”
- InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change (2016, neutral): “Inheritance rules are based on the infinitesimal model of quantitative genetics theory (Lynch and Walsh, 1998).”
- Transgenerational plasticity and environmental stress: do paternal effects act as a conduit or a buffer? (2016, background): “Functional Ecology © 2015 British Ecological Society, Functional Ecology and via changes in provisioning (Lynch & Walsh 1998).”