The major QTL for OA on linkage group 5 accounted for 29% of the phenotypic variation, which is overlapped also with the QTLs for several water status traits.
QTL analysis showed that several putative genomic regions are involved in the total variation of water status traits under two water treatments.
After 12 days of differential watering, water status traits (leaf water potential, relative water content, turgor potential, osmotic potential and osmotic potential at full turgor) as well as osmotic adjustment (OA) were evaluated.
Overall, the Bellwether Phenotyping Platform and PlantCV software detected significant effects of genotype and environment on height, biomass, water-use efficiency, color, plant architecture, and tissue water status traits.
The goals of the present research were to develop an integrated and high density genetic-linkage map using simple sequence repeat (SSR) and amplified fragment length polymorphism (AFLP) markers on a population of 123F99 recombinant inbred lines (RILs) and to identify QTLs involved in the genetic control of water status traits and osmotic adjustment under well-watered and water-stressed conditions.
A variety of traits, including demographic, status traits, tastes, and moral views were chosen because they might independently have importance for participants.
Interactions between covariates and noise were borderline significant (0.05 < p < 0.10) for sex, obesity, marital status, and trait anxiety, in the model for any insomnia symptom (Table 1).
If this assumption is not met (e.g., many common alleles with small effect, genetic heterogeneity), GWAS will not work, because in different individuals different variants will account for a disease status or trait level.
The setafftrait 1 -1 0 command converted affect status to trait 1 (affected men), -1 (affected women) and 0 (unaffected siblings and parents), and the results are summarized in Table 7.
