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The effect sizes for the much more precise loci we detected were similar to those reported for light dark box and open-field activity in F2 crosses (Flint 2003), with each locus accounting for 10.9 13.7% of the trait variance, or 5.4 6.9% in an additive genetic model.
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These findings provide more precise genomic loci regulating VAB and define two novel loci regulating locomotor behavior.
This framework was generalized in the McDonald-Krietman Poisson Random Field (MKPRF) approach where information across multiple loci can be used to estimate global, locus-independent parameters such as the time of species divergence, allowing for more precise estimates of locus specific effects [33].
The distribution of these deficiencies allowed a more precise mapping of these loci than was previously possible.
The joint consideration of multiple crosses among related taxa (whether species or strains) not only allows more precise mapping of the genetic loci (called quantitative trait loci, QTL) that contribute to important quantitative traits, but also offers the opportunity to identify the origin of a QTL allele on the phylogenetic tree that relates the taxa.
Furthermore, the estimates become more precise with higher number of loci (Additional file 9); when using 29 loci, the power increase in 79′-83′ 79′-83′offsparentcoffspringas mucohortthe power gaised when the two pasent-offspring cohort informuchon is combined, but using 14 loci.
However, the coalescent-based methods (IMa) suffered from a lack of convergence of the lineage divergence parameter (t) based on the present data, thus, efforts need to be undertaken to obtain more precise estimates with multi-locus approach and perhaps parameter-rich evolutionary model implemented with Approximate Bayesian Computation to resolve their complicated evolutionary history [ 86].
We propose that the improvement in across-breed prediction achieved by BayesR with the multi-breed reference population is due to more precise mapping of quantitative trait loci (QTL), which was demonstrated for several regions.
It is possible that the similar growth conditions used in the different genetic screens may limit the tractable symbiotic loci and applying more precise or subtle conditions may allow the identification of additional symbiotic loci.
While MALAT-1 was initially defined as a cluster of ESTs more than 8 kb in length, our more precise 5'-RLM/3'-RACE studies of the NEAT2 locus show a slightly different sequence for the transcript which more closely matches the current database of ESTs (sequence deposited in Genbank as EF177381).
Our revised maps described in this paper will allow more precise QTL analysis, including identification of loci associated with various attributes such as flower vase life, an important trait for ornamental plants that has not yet been mapped in the mapping population.
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