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They require the use of large population size and may suffer from slow convergence.
In stage 1, algorithm search is guided toward exploration through the use of large population size and relatively large standard deviation (std) in normal distribution.
The low to medium heritability of the eggshell trait revealed by our results and other study [ 34] suggested the necessary use of large population for causal mutant identification.
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Use of large population-based data material with a high response rate.
Strengths are the use of large population-based datasets, the combination of data collected from three high-immigration countries and the use of a standardized definition of the outcome based on ICD-10 diagnostic codes and migrant groups.
Study strengths include the use of large population-based data sets, the combination of data collected from six high-immigration countries and the use of standardised definitions of outcomes and migrant groups.
Common strengths of the evidence were: a) the application of a theoretical framework to guide physical activity behavior change (e.g.,[ 16, 17]); b) the availability of Canadian data describing previous efforts to disseminate physical activity guidelines (e.g.,[ 18, 19] ); and c) the use of large population-based samples to monitor message uptake (e.g., [ 20, 21] ).
Key factors for success are the use of large populations and powerful statistical tools.
Coupling the use of large populations with the ability to utilize historical recombination, these studies elucidated the highly polygenic nature of PH and FT (Buckler et al. 2009; Peiffer et al. 2014).
There are many advantages of association mapping in breeding populations compared with traditional QTL mapping, such as use of large populations with phenotypic data collected through multiple locations and years, diverse genetic backgrounds with multiple allele polymorphism, and availability of populations and phenotypic data (Parisseaux and Bernardo 2004).
The results of this study showed that one LOD support intervals around QTLs identified in the Franklin/Yerong population were smaller than those in the Franklin/TX9425 population, this is because the Franklin/Yerong population was larger and further reduction in size of confidence intervals will require the use of larger populations [ 43].
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