|
|
|
|
|
| Chapman, S.C.; Wang, J.; Rebetzke, G.J.; Bonnett, D.G.. |
| There are many sources of variability in gene–phenotype associations. During the measurement of genotype and phenotype and during selection, researchers must deal with experimental error in trials; gene-gene interaction (epistasis) for sub-traits and observed traits; trait-trait interaction (pleiotropy) and gene- or genotype-by-environment interaction. These effects can be structured in a framework that allows simulation of the entire gene-environment ‘landscape’. Studies of these landscapes have been published by others. Here we aim to explain with simple examples some of the types of insights that can be made. A current challenge for breeders working with simple marker–phenotype associations is to design selection strategies that can rapidly create new... |
| Tipo: Conference proceedings |
|
| Ano: 2007 |
URL: http://library.wur.nl/ojs/index.php/frontis/article/view/1294 |
| |
|
|
| Torres, H.s.; Klein, Patrice; Siegelman, L.; Qiu, B.; Chen, S.; Ubelman, C.; Wang, J.; Menemenlis, D.; Fu, L.‐l.. |
| Numerical studies indicate that interactions between ocean internal gravity waves (especially those <100 km) and geostrophic (or balanced) motions associated with mesoscale eddy turbulence (involving eddies of 100–300 km) impact the ocean's kinetic energy budget and therefore its circulation. Results from these studies have never been confirmed by observations in regional or basin‐scale domains. Here we show that internal gravity waves have a spectral signature on sea‐surface height (SSH) during summer that significantly differs from that of balanced motions. These spectral differences lead us to propose a new dynamical framework that quantifies the interactions between internal gravity waves and balanced motions in physical space from SSH snapshots,... |
| Tipo: Text |
|
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00509/62035/66167.pdf |
| |
|
|
|
