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We first evaluated the impact of sampling method on genotyping experimental outcomes.
Genetic data from 13 clinical trials were evaluated to assess the impact of saliva sample volume on genotyping experimental outcomes on the FRET-based KASPar genotyping platform.
These results suggest that sample collection volume is an important factor that contributes to successful genotyping experimental outcomes.
The impact of sampling method was evaluated by comparing genotyping experimental outcomes for DNA derived from either blood or saliva samples.
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Myles, S. et al. Association mapping: critical considerations shift from genotyping to experimental design.
Genotyping large experimental crosses provides variants where Mendelian violations can be identified and the variants are observed at high frequencies in independent samples; as such, experimental crosses represent one of the most reliable sources of genetic variants.
The grain yield (GY) of common bean was significantly (P ≤ 0.05) affected by Rhizobium inoculation, the genotypes, experimental sites and their interaction (Table 1).
ANOVA showed significant (P ≤ 0.05) effect due to Rhizobium inoculation, the genotype, experimental locations and their interaction on total plant N accumulation (TPNA) (Table 1).
ANOVA revealed that the main effect of Rhizobium inoculation, the genotypes, experimental locations and their interaction were significant (P ≤ 0.05) on total biomass yield (TBY) (Table 1).
The effect of Rhizobium inoculation, the genotypes, experimental locations and their interaction was significant on nodule dry weight (NDW) (Table 1).
By making sexual crosses between resistant and susceptible Solanum genotypes, experimental (segregating) populations were produced.
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