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Biometric analysis also showed the existence of intraclonal variation in quantitative traits related to plant architecture.
Further, pollen being the main mode of gene flow, genetic differentiation in quantitative traits was maintained by natural selection (Bloomfield et al. [2011]).
However, plant breeding is currently limited by incremental improvements in quantitative traits that often rely on laborious selection of rare naturally occurring mutations in gene-regulatory regions.
New technologies have facilitated identification of genes involved in quantitative traits, and many genes underpinning quantitative trait loci involved in rice crop yield have been isolated.
This suggests that the degree of differentiation in quantitative traits exceeds the differentiation by genetic drift alone.
Differences in quantitative traits in mothers and in children according to maternal periconception folic acid use were tested using an independent t-test.
The results presented here are preliminary to the identification of genetic determinants underlying variation in quantitative traits, including risk factors for many common disorders.
Furthermore, we test for spatially variable selection by comparing the degree of differentiation in quantitative traits with the degree of differentiation that could be generated by drift alone.
Reaction norms are a common tool for describing phenotypic plasticity in quantitative traits [1] [2] as well as for understanding evolutionary processes at the level of life-histories [3].
In quantitative traits analyses, the rs6234 G-allele was significantly associated with increased HOMA-B (P = 0.0059) and decreased HOMA-S (P = 0.0349), but not with fasting glucose (P = 0.93).
Deciphering the genetic basis of natural variation in quantitative traits presents a challenge because the variation is often continuous and because there is often extensive genotype×environment (G×E) interactions.
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