Your English writing platform
Discover LudwigSuggestions(1)
Exact(6)
After analyzing the population structure, we estimated FST within and across the three breeds for each SNP under a pure drift model.
Highly prioritised breeds for each case are represented in italic characters.
Thus, the QTL effect at the marker was twice the estimated additive effect divided by the phenotypic difference between the founder breeds for each trait.
Table 4 shows the posterior means of the genetic correlations between breeds for each trait when combining information from the M, N, and H reference populations.
A meta-analysis was performed across the three breeds for each calving performance trait to identify common variants associated with these traits in the three breeds.
The observed overlap in the associated SNPs in the two breeds for each trait was computed based on the matrix product between the two incidence matrices.
Similar(54)
Additional file 1: Hardy Weinberg equilibrium test for all sheep breeds and for each breed separately.
Animals received either a good quality hay or a medium quality hay (three cows per breed for each hay, according to Latin square designs).
|iHS| was calculated within breed for each SNP in dairy and beef datasets following Voight et al.[ 9].
* Also found differentially expressed between breeds in Ferraz et al. [ 3] The most extreme breed for each of the geneprobes is shaded in Table 5.
The correlation between the disease risk (high or low) and average allele frequency for each breed for each SNP was estimated, regarding a P-value of less than 0.05 statistically significant.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com