Sentence examples for morphometric traits that from inspiring English sources

We developed a system for the rapid phenotyping of Drosophila morphometric traits that meets these requirements: the FlyCatwalk.

Traits subject to ecological selection (such as morphometric traits that influence feeding behavior or locomotion) should correlate with variation in the physical environment.

In summary, we present an automated phenotyping system for Drosophila morphometric traits that allows performing extremely time-consuming artificial selection experiments by increasing experimental throughput approximately four-fold while preserving data quality comparable with standard manual measurements.

We present an automated system for the rapid phenotyping of Drosophila morphometric traits that allows performing artificial selection experiments with a substantially increased throughput than was previously possible while preserving data quality comparable with standard manual methods.

These results suggest that ecological selection has acted on these traits to create geographic variation that is independent of subspecies identity, such that individuals exhibit morphometric traits that are adapted to the local environment.

Beyond the currently implemented morphometric traits (IOD, SW, WA, WL, WW), other traits that are based on head, thorax, abdomen, or wing size and shape can easily be added.

In addition, we set the groundwork for routine high-throughput phenotyping of medaka strains to quantify morphometric features, which is one of many possible traits that can be measured in this vertebrate.

To investigate if the spatial gradient of gyny in P. phylax is linked to a gradient of dispersal ability, we assessed morphological variation by examining six interdependent traits that jointly estimate the relative size of adult queens: five morphometric estimates from two body parts (head and forewing) and the dry weight of entire individuals.

These results suggest that morphometric traits are not clearly divergent between the subspecies, but rather that geographic variation in these traits likely arises via local selective pressures from the physical environment, regardless of genetic background.

Morphometric analyses of 3-D cranial landmarks, using cluster analyses of landmark covariances, followed by Fisher's z-transformation and Student's t-test to determine if grouped landmarks displayed significantly higher covariances than observed between groups, identified six sets of traits that were consistently recovered in the examined species (Fig. 1).

The present study has shown that morphometric traits of A. melegueta are greatly influenced by its ecological habitat.