Sentence examples for morphometric traits we from inspiring English sources

By using the phylogenetic analyses of mtDNA sequence data, molecular diagnostic sites and phenotypic morphometric traits, we uncovered two previously undetected species whose distributions contradict the two existing biogeographic models.

In stark contrast to the patterns observed in morphometric traits, we found several lines of evidence supporting a diminished role of environment and a greater role of isolation by distance in explaining variation in plumage hue.

Thus, in this study we used morphometric traits to define variations in A. melegueta accessions.

We nevertheless expect island morphometric traits to capture at least some of the habitat diversity associated with soil heterogeneity (see Discussion).

With the FlyCatwalk, we can measure multiple morphometric traits simultaneously: wing area, wing length, and wing width; the dimensions of the thorax, abdomen, and head; and two measures that we chose as proxies for body size, interocular distance and shoulder width.

We addressed the potential of particular morphometric traits to respond to different selective forces by taking two approaches: firstly by estimating genetic variance in situ from wild caught individuals, and secondly by using a pond-bred population maintained and allowed to breed under semi-natural conditions.

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 measured most (20 out of 22) of the morphometric traits described by Castellano and Giacoma [ 39].

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

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.

While we were able to infer the presence of additive genetic variance for morphometric traits from two generations of pond data, more stringent analyses including F2 and F3 are planned although data are not yet available due to the relatively long generation time (approximately 2.5 years).