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Aspergillus parasiticus had the most predicted SMCs across all Aspergilli examined, based on predictions from both programs, while A. nidulans had the least number of SMCs (Table  3).>> -wrap-foot>> -wraColony> acharactersracters on Czpaek's medium, incubated at 25 oC for 7 days: diameter; texture; color.

In Figure 1 the HAQ, PCS, MCS, and EQ-5D lines, and in Figure 2 the HAQ and PCS lines, were based on predictions from the mixed model, using the fixed-portion linear predictor plus contributions based on predicted random effects.

Subsequently, we grouped predicted genes into orthogroups and transferred functional annotation from one-to-one orthologs in model species, that is, C. albicans or Saccharomyces cerevisiae, based on predictions from the MetaPhOrs approach (Pryszcz et al. 2011).

Finally, genes were annotated with: 1) putative functions derived from Gene Ontology (GO) terms transferred from one-to-one orthologs in model species, that is, C. albicans or Saccharomyces cerevisiae, based on predictions from the MetaPhORs (Pryszcz et al. 2011) webserver and 2) protein domains from PFAM (Bateman et al. 2004) predicted with HMMER (Eddy 2011) version 3.0.3.

Based on predictions from a validated microcircuit model of spatial WM, we hypothesized two key behavioral consequences: i) increased variability of WM traces over time, reducing performance precision; and ii) decreased ability to filter out distractors that overlap with WM representations.

Here we document body size variation among island populations derived from mainland C. mitchellii and relate these data to hypotheses based on predictions from island physical variables.

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The P-frame (or predictive frame) is encoded based on prediction from the preceding I- frame or a P-frame in the video sequence.

The B-frame (or bidirectionally predictive-coded frame) is encoded based on prediction from preceding and succeeding I- or P-frames.

There were some differences in accuracy between G1 and G2 for Merino sires based on prediction from combined purebred and crossbred Merinos, but there was no consistent pattern to these differences.

These results are consistent with the small positive prediction ability (with an accuracy of 0.08 for WS and of 0.12 for PD sires for PWW) we observed in an extra analysis based on prediction from crossbred PD*Merino and WS*Merino, respectively.

In particular, marker-assisted selection (MAS) is widely applied, but is not necessarily an optimal approach for complex agronomic traits as it is usually based on predictions derived from only a few markers in linkage disequilibrium (LD) to large effect quantitative trait loci (QTL) and, thus, ignores the contributions from small to intermediate effect QTL [ 6, 7].

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