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In all analyses, height trait was corrected for sex and age and transformed to be normally distributed with a mean of zero and standard deviation of one.
Two QTL were detected in the NAM mapping population for the plant height trait (Table 2).
Eighteen known functional genes and twenty-five candidate genes for flowering time and plant height trait were fine-mapped into a 2.21 4.96 Mb interval.
Only one QTL, designated as qPH1.1, was identified for plant height trait on chromosome 1 at an interval of RM302‐RM11968 and it accounted for 15.42 % phenotypic variance.
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Length and height traits are in mm.
The two body height traits (stature and body depth) had many significant SNPs with overlapping gene regions of BTA11.
The gene list for flowering time and plant height traits which collected from previous work (XLSX 28 kb) Additional file 21: Table S13.
Moreover, in this population combined with the IBM Syn4 RIL population, we detected 135 QTLs for flowering time and plant height traits across the two populations.
Traits measured include leaf rolling, leaf drying and relative water content as reported in [ 20], traits related to leaf area, leaf weight and carbon isotope discrimination as reported in [ 16], plus biomass and tiller number, canopy temperature (by infrared thermometer), leaf chlorophyll content (SPAD meter) and plant height traits that have not been previously reported.
GBS was an effective and relatively low-cost approach to rapidly construct a genetic map of the GPMx population that was suitable for genetic analysis of row type and height traits, allowing us to precisely position ari-e.GP on chromosome 5H.
There was also a trend among the GWAS presentations to study non-disease-related traits, such as height, or traits indirectly linked to disease, for example, blood-lipid and cholesterol levels.
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