Sentence examples for data of each trait from inspiring English sources

We used Proc GLM procedure with replication mean data of each trait in each season for studying the effect of genotype (RILs), environment and genotype × environment interactions for observed variance among RILs by residual maximum likelihood algorithm (REML) as suggested [ 65].

This however should be tested in experiments where repeated thickness measurements are made from these sites and where data for each trait of interest e.g. reproductive performance, sow longevity or meat characteristics, are available.

We transformed each phenotype using van der Waerden's scores (Conover 1999) and estimated genetic and residual variances of the transformed data for each trait using EMMA.

Both the correlation data and the distribution of each trait are reported in Additional file 5: Figure S4.> Associations between SNP alleles and morphology were acquired on the basis of three different models.

Following the instructions given in the original GWAS (Sabatti et al., 2009), we firstly excluded individuals according to the phenotypic exclusion criteria and then undertook the procedures of quality control of genotype data and corrected each trait for the SexCOPG covariate (recoded according to gender, status of taking oral contraception and pregnancy) (Supplementary Note 3).

The test of presence of QTL was then re-run for each half of the data and for each trait.

The mean, range and standard deviation of the phenotypic data recorded for each trait and covariate are shown in Table 1.

Logarithm of the odds (LOD) threshold values applied to declare the presence of a QTL were estimated by performing the genome wide permutation tests implemented in MapQTL version 5.0 using at least 1000 permutations of the original data set for each trait, resulting in a 95% LOD threshold between 2.7 and 3.0.

Accuracies of estimated breeding values for POCRE were also better than POCRE0, except in the training data of HT trait.

In the current study, we used phenotypic data of each RIL evaluated for leaf structure traits leaf length (LL) and leaf width (LW) from two locations, Aurora (AU), NY, and Champaign-Urbana (CU), IL, over 2 yr (2006 and 2007).

Data of 18 traits including both quantitative and qualitative were collected and used to design sampling strategy.