Sentence examples for multiple traits of from inspiring English sources
Here, we study multiple traits of floodplain Orthoptera communities under the influence of two different sources of disturbance, land use and seasonal flooding.
In order to unravel the genetic architecture of multiple traits of Agaricus bisporus and the genetic correlations among traits, we have investigated a total of six agronomic and quality traits through multi-trait QTL analyses in a mixed-model.
Since good crop varieties combine optimal values for several traits to maximize productivity and quality, multiple traits of germplasm should be evaluated during a breeding scheme rather than single traits.
Contrary to Americans and the United States there are multiple traits of personality on European soil, reason why the European Union has not yet and might never become the United States of Europe, dreamt by France's Jean Monnet in the aftermath of World War II.
To fully understand the role of predation as a selective force, it is also necessary to collect evidence of predation outside the typical predator-prey system, gather information on large sample sizes, and investigate multiple traits of prey simultaneously.
All these results indicate that the hybrid cells may acquire multiple traits of stem cells.
Superior button mushroom varieties require the combination of multiple traits to maximize productivity and quality.
Morphobiological indicators and selection index are helpful tools to obtain promising genotypes and selecting multiple traits for genetic improvement of the predator, Cryptolaemus montrouzieri (Mulsant) (Coleoptera: Coccinellidae).
Responses of multiple traits to selection from a single environmental factor can be constrained by negative genetic correlations among those traits (Falconer and Mackay1996).
To better control for the analysis of multiple traits, each of the three experiments, were also analysed by multiple trait CIM (MT-CIM) [ 36, 37].
Some statistical methods have been developed to map QTLs underlying multiple traits, most of which are based on maximum-likelihood methods.
