TABLE 5

Environment-specific QTL effects for moisture

Chromosome no.
Environment namePosition (cM):111222334455667889910
54113218418115686200911021152512854122208410753
AD9450−4910−626−15−1020−118−26−32−252410115−138−14
NP9427−3014−11141−813−49−16−13−14−1−10−56−11−2−20
SV9439−4112−1016−4−2117−98−22−23−1314−41910−121−17
WN9444−4515−1015−11−1322−1212−27−18−187−20148−162−24
YK9419−122−676−39−15−7−9−75−5−13−7−1−13
CI9534−265−10205−1512−1014−17−26−9119145−11−19−21
GC9538−227−728−234−37−29−23−8−1106−7−10−15
MR9532−187−108−1−61−44−4−14−90066−7−7−14
NP9536−2322−1714−9−8177−9−1916−12−150−217−12−12−16
PR9524−23−5−14200−711−158−16−14−19−12262−7−6−11
SV9533−36−11−14176−20−515−25−33−51518109−12−16−15
YA9528−151−161014−64−1910−23−17−216−7163−8−15−23
  • The effects given are multiplied by a factor of 100. Negative QTL effects mean that the A allele gives higher moisture values than the B allele, and positive QTL effects mean that the B allele gives higher moisture values. The italic (underlined) values are significant negative (positive) QTL effects. For the VCOV structure we used the second-order factor analytic model.