scholarly journals Genetic Components of Variation in Nemophila menziesii Undergoing Inbreeding: Morphology and Flowering Time

Genetics ◽  
1998 ◽  
Vol 150 (4) ◽  
pp. 1649-1661 ◽  
Author(s):  
Ruth G Shaw ◽  
Diane L Byers ◽  
Frank H Shaw

Abstract The standard approaches to estimation of quantitative genetic parameters and prediction of response to selection on quantitative traits are based on theory derived for populations undergoing random mating. Many studies demonstrate, however, that mating systems in natural populations often involve inbreeding in various degrees (i.e., self matings and matings between relatives). Here we apply theory developed for estimating quantitative genetic parameters for partially inbreeding populations to a population of Nemophila menziesii recently obtained from nature and experimentally inbred. Two measures of overall plant size and two of floral size expressed highly significant inbreeding depression. Of three dominance components of phenotypic variance that are defined under partial inbreeding, one was found to contribute significantly to phenotypic variance in flower size and flowering time, while the remaining two components contributed only negligibly to variation in each of the five traits considered. Computer simulations investigating selection response under the more complete genetic model for populations undergoing mixed mating indicate that, for parameter values estimated in this study, selection response can be substantially slowed relative to predictions for a random mating population. Moreover, inbreeding depression alone does not generally account for the reduction in selection response.

Evolution ◽  
2009 ◽  
Vol 63 (4) ◽  
pp. 1051-1067 ◽  
Author(s):  
Joseph D. DiBattista ◽  
Kevin A. Feldheim ◽  
Dany Garant ◽  
Samuel H. Gruber ◽  
Andrew P. Hendry

2013 ◽  
Vol 56 (1) ◽  
pp. 191-199 ◽  
Author(s):  
I. Nagy ◽  
P. Gyovai ◽  
I. Radnai ◽  
H. Nagyné Kiszlinger ◽  
J. Farkas ◽  
...  

Abstract. Genetic parameters, inbreeding depression and genetic trends were estimated for average daily gain between the ages of 5-10 weeks and thigh muscle volume (measured in vivo with computerized tomography) in a group of 22 098 Pannon terminal line rabbits born between 2006 and 2011 and reared in 3 396 litters. The data sets were analysed with bi-variate animal models taking pedigree completeness (complete generation equivalent) into account. By 2011, all rabbits were inbred and the average inbreeding coefficient and complete generation equivalent of the population were 7.69 % and 11.89 %, respectively. Estimated heritability was moderate both for average daily gain (0.23±0.02) and thigh muscle volume (0.25±0.03). Litter effects were low for both traits (0.16±0.00 and 0.09±0.01 respectively). The genetic correlation coefficient estimate between average daily gain and thigh muscle volume was also low (0.02±0.08). Significant inbreeding depression (per 10 % inbreeding) was only detected for average daily gain (0.57 g/d). The estimated annual selection response was substantial both for average daily gain and thigh muscle volume (1.49 g/d and 5.84 cm3, respectively), proving the efficiency of the breeding programme.


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

Genetics ◽  
2000 ◽  
Vol 155 (4) ◽  
pp. 1961-1972 ◽  
Author(s):  
Stuart C Thomas ◽  
William G Hill

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.


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 ◽  
...  

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