scholarly journals Deciphering hybrid larch reaction norms using random regression

2018 ◽  
Author(s):  
Alexandre Marchal ◽  
Carl D. Schlichting ◽  
Rémy Gobin ◽  
Philippe Balandier ◽  
Frédéric Millier ◽  
...  
Keyword(s):  
Phenotypic Plasticity ◽  
Water Availability ◽  
Genetic Parameters ◽  
Parental Species ◽  
Ring Width ◽  
Reaction Norms ◽  
Random Regression ◽  
Hybrid Larch ◽  
Quantitative Genetic ◽  
Quantitative Genetic Parameters

ABSTRACTThe link between phenotypic plasticity and heterosis is a broad fundamental question, with stakes in breeding. We report a case-study evaluating temporal series of wood ring traits of hybrid larch (Larix decidua×L. kaempferiand reciprocal) in relation to soil water availability. Growth rings record the tree plastic responses to past environmental conditions, and we used random regressions to estimate the reaction norms of ring width and wood density with respect to water availability. We investigated the role of phenotypic plasticity on the construction of hybrid larch heterosis and on the expression of its quantitative genetic parameters. The data came from an intra-/interspecific diallel mating design between both parental species. Progenies were grown in two environmentally contrasted sites, in France. Ring width plasticity with respect to water availability was confirmed, as all three taxa produced narrower rings under the lowest water availability. Hybrid larch appeared to be the most plastic taxon as its superiority over its parental species increased with increasing water availability. Despite the low heritabilities of the investigated traits, we found that the quantitative genetic parameters varied along the water availability gradient. Finally, by means of a complementary simulation, we demonstrated that random regression can be applied to model the reaction norms of non-repeated records of phenotypic plasticity bound by a family structure. Random regression is a powerful tool for the modeling of reaction norms in various contexts, especially perennial species.

scholarly journals Phenotypic plasticity of labile traits in the wild

2013 ◽  
Vol 59 (4) ◽  
pp. 485-505 ◽  
Author(s):  
Jon E. Brommer
Keyword(s):  
Life History ◽  
Phenotypic Plasticity ◽  
Statistical Approach ◽  
Scale Up ◽  
Population Level ◽  
Wild Populations ◽  
Quantitative Genetic ◽  
In The Wild ◽  
The Individual ◽  
Quantitative Genetic Parameters

Abstract Individual-based studies allow quantification of phenotypic plasticity in behavioural, life-history and other labile traits. The study of phenotypic plasticity in the wild can shed new light on the ultimate objectives (1) whether plasticity itself can evolve or is constrained by its genetic architecture, and (2) whether plasticity is associated to other traits, including fitness (selection). I describe the main statistical approach for how repeated records of individuals and a description of the environment (E) allow quantification of variation in plasticity across individuals (IxE) and genotypes (GxE) in wild populations. Based on a literature review of life-history and behavioural studies on plasticity in the wild, I discuss the present state of the two objectives listed above. Few studies have quantified GxE of labile traits in wild populations, and it is likely that power to detect statistically significant GxE is lacking. Apart from the issue of whether it is heritable, plasticity tends to correlate with average trait expression (not fully supported by the few genetic estimates available) and may thus be evolutionary constrained in this way. Individual-specific estimates of plasticity tend to be related to other traits of the individual (including fitness), but these analyses may be anti-conservative because they predominantly concern stats-on-stats. Despite the increased interest in plasticity in wild populations, the putative lack of power to detect GxE in such populations hinders achieving general insights. I discuss possible steps to invigorate the field by moving away from simply testing for presence of GxE to analyses that ‘scale up’ to population level processes and by the development of new behavioural theory to identify quantitative genetic parameters which can be estimated.

scholarly journals SHARED SPATIAL EFFECTS ON QUANTITATIVE GENETIC PARAMETERS: ACCOUNTING FOR SPATIAL AUTOCORRELATION AND HOME RANGE OVERLAP REDUCES ESTIMATES OF HERITABILITY IN WILD RED DEER

Evolution ◽  
2012 ◽  
Vol 66 (8) ◽  
pp. 2411-2426 ◽  
Author(s):  
Katie V. Stopher ◽  
Craig A. Walling ◽  
Alison Morris ◽  
Fiona E. Guinness ◽  
Tim H. Clutton‐Brock ◽  
...  
Keyword(s):  
Home Range ◽  
Spatial Autocorrelation ◽  
Red Deer ◽  
Genetic Parameters ◽  
Spatial Effects ◽  
Home Range Overlap ◽  
Quantitative Genetic ◽  
Range Overlap ◽  
Quantitative Genetic Parameters

scholarly journals EVOLUTIONARY POTENTIAL OF A LARGE MARINE VERTEBRATE: QUANTITATIVE GENETIC PARAMETERS IN A WILD POPULATION

Evolution ◽  
2009 ◽  
Vol 63 (4) ◽  
pp. 1051-1067 ◽  
Author(s):  
Joseph D. DiBattista ◽  
Kevin A. Feldheim ◽  
Dany Garant ◽  
Samuel H. Gruber ◽  
Andrew P. Hendry
Keyword(s):  
Genetic Parameters ◽  
Wild Population ◽  
Evolutionary Potential ◽  
Quantitative Genetic ◽  
Quantitative Genetic Parameters

Environment-Dependence of Quantitative Genetic Parameters in Impatiens pallida

Evolution ◽  
1996 ◽  
Vol 50 (3) ◽  
pp. 1083 ◽  
Author(s):  
Cynthia C. Bennington ◽  
James B. McGraw
Keyword(s):  
Genetic Parameters ◽  
Quantitative Genetic ◽  
Environment Dependence ◽  
Quantitative Genetic Parameters

Estimation of Quantitative Genetic Parameters for Outcrossing-Related Traits in Barley

Crop Science ◽  
2005 ◽  
Vol 45 (1) ◽  
pp. cropsci2005.0098 ◽  
Author(s):  
Adel H. Abdel-Ghani ◽  
Heiko K. Parzies ◽  
Salvatore Ceccarelli ◽  
Stefania Grando ◽  
Hartwig H. Geiger
Keyword(s):  
Genetic Parameters ◽  
Quantitative Genetic ◽  
Quantitative Genetic Parameters

scholarly journals Deciphering Hybrid Larch Reaction Norms Using Random Regression

2018 ◽  
Vol 9 (1) ◽  
pp. 21-32 ◽  
Author(s):  
Alexandre Marchal ◽  
Carl D. Schlichting ◽  
Rémy Gobin ◽  
Philippe Balandier ◽  
Frédéric Millier ◽  
...  
Keyword(s):  
Reaction Norms ◽  
Random Regression ◽  
Hybrid Larch

Estimating Quantitative Genetic Parameters Using Sibships Reconstructed From Marker Data

Genetics ◽  
2000 ◽  
Vol 155 (4) ◽  
pp. 1961-1972 ◽  
Author(s):  
Stuart C Thomas ◽  
William G Hill
Keyword(s):  
Prior Knowledge ◽  
Genetic Parameters ◽  
Allele Frequencies ◽  
Parameter Estimates ◽  
Monte Carlo Techniques ◽  
Quantitative Genetic ◽  
Downward Bias ◽  
Mean Square Errors ◽  
Sibship Reconstruction ◽  
Quantitative Genetic Parameters

Abstract Previous techniques for estimating quantitative genetic parameters, such as heritability in populations where exact relationships are unknown but are instead inferred from marker genotypes, have used data from individuals on a pairwise level only. At this level, families are weighted according to the number of pairs within which each family appears, hence by size rather than information content, and information from multiple relationships is lost. Estimates of parameters are therefore not the most efficient achievable. Here, Markov chain Monte Carlo techniques have been used to partition the population into complete sibships, including, if known, prior knowledge of the distribution of family sizes. These pedigrees have then been used with restricted maximum likelihood under an animal model to estimate quantitative genetic parameters. Simulations to compare the properties of parameter estimates with those of existing techniques indicate that the use of sibship reconstruction is superior to earlier methods, having lower mean square errors and showing nonsignificant downward bias. In addition, sibship reconstruction allows the estimation of population allele frequencies that account for the relationships within the sample, so prior knowledge of allele frequencies need not be assumed. Extensions to these techniques allow reconstruction of half sibships when some or all of the maternal genotypes are known.

scholarly journals THE COMPARISON OF QUANTITATIVE GENETIC PARAMETERS BETWEEN POPULATIONS

Evolution ◽  
1991 ◽  
Vol 45 (1) ◽  
pp. 143-151 ◽  
Author(s):  
Ruth G. Shaw
Keyword(s):  
Genetic Parameters ◽  
Quantitative Genetic ◽  
Quantitative Genetic Parameters

scholarly journals Quantitative-genetic parameters of sorghum growth under striga infestation in Mali and Kenya

2001 ◽  
Vol 120 (1) ◽  
pp. 49-56 ◽  
Author(s):  
B. I. G. Haussmann ◽  
D. E. Hess ◽  
B. V. S. Reddy ◽  
S. Z. Mukuru ◽  
M. Kayentao ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Quantitative Genetic ◽  
Quantitative Genetic Parameters
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