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Exact(7)
Distances between markers were calculated from their respective positions on the consensus molecular linkage map.
Genetic distances between markers were calculated using the Kosambi mapping function [ 13].
Next, the modified logarithm of odds (MLOD) scores between markers were calculated to further confirm the robustness of markers for each LGs.
Correlations between markers were calculated by linear regression and values of Pearson's correlation coefficient (r) and the likelihood of non-zero slope (p) is stated.
LD between markers were calculated for the A, B, and D genomes, and plotted against the genetic distance in centimorgans (cM).
The recombination rates between markers were calculated using JoinMap 4.0 software [ 40] and the genetic map was constructed using a modified logarithm of odds (mLOD) threshold ≥ 7.0 (http://www.kyazma.nl/index.php/mc.JoinMap/sc.FAQ) and a maximum recombination fraction of 0.4.
Similar(53)
The genetic distances between markers are calculated from the recombination fractions (r) with the Haldane map function.
Pairwise r between markers was calculated for each chromosome using TASSEL v.4.0 [ 58].
Pairwise LD between markers was calculated as squared correlation coefficient (r 2 ) of alleles using R package synbreed [ 31].
Genetic distances between the markers were calculated with the Kosambi mapping function in JoinMap v.3.0 (Kyazma B.V, Wageningen, The Netherlands) and graphical genotypes were visualized with the GGT software (Van Berloo 1999).
The sex-specific LG maps are presented in Figure 1 and Figure 2. Intervals between adjacent markers were calculated in centimorgan units for both sex-specific maps using Kosambi mapping function.
Related(20)
between parameters were calculated
between markers were computed
between markers were estimated
between markers were performed
between AUCs were calculated
between scales were calculated
between samples were calculated
between markers were reestimated
between markers were analyzed
between hormones were calculated
between correlations were calculated
between accessions were calculated
between datasets were calculated
between homologs were calculated
between cores were calculated
between clusters were calculated
between variables were calculated
between isolates were calculated
between treatments were calculated
between genes were calculated
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