Sentence examples for trait information from inspiring English sources

In this context, enrichment of existing trait information for both fish and invertebrates is critical (Recommendation 1, Table 2).

When the same photo appeared the next day, the subject automatically retrieved the corresponding trait information from memory.

Purple triangles and dashed lines are estimates using trait information, red circles and solid lines are estimates using broad functional groups (FG).

Madin, J. S. et al. The Coral Trait Database, a curated database of trait information for coral species from the global oceans.

(3) What is the impact of using either coarse functional groups or finer-scale trait information on the above patterns of functional diversity?

Where trait information was lacking at the species level, genus level averages were used (mean for continuous traits and mode for categorical traits)16.

Prior to implementation of these QTL in marker assisted selection programs for functional traits, information about direct and correlated effects of these QTL as well as fine mapping of their chromosomal positions is required.

Such agricultural modelling and simulations need access to elaborated geolocated genetic-trait information as well as complementary data sources coming from geospatial data providers and geospatial data hubs, e.g. soil moisture data, climate data.

From delivering a flexible, integrative and sharing eGRASP web platform based on openess, the objectives of enabling researchers in crop modelling, agro-ecological modelling either as developer of new models or evaluating agriculture strategies (agro-ecomic modelling), to seamlessly re-use existing models and specific data such genetic-trait information will be achieved.

Within the "from farm to fork" chain, various heterogeneous data including genetic-trait information are to be considered as part of the computational modelling for prevision and forecast; most of them have a geo-location or spatial component or would be required to have one to be used from a plethora of model applications of various complexities.

In addition, a number of exemplar use cases were generated, illustrating how different types of information can be combined to augment what we know about a person, including cyber (e.g., IP address), biometric (e.g., fingerprint), biographic (e.g., home address), and psychological (e.g., personality traits) information.