Degree-day modeling applications in turfgrass management have recently
seen increased interest. The predictive capacity of any degree-day mo
del is dependent on an accurate determination of the basal growth temp
eratures for the species under consideration. The objective of this st
udy was to determine basal growth temperatures and growth rate constan
ts for eight warm season turfgrasses (five species). Sprigs from bermu
dagrass [Cynodon dactylon (L.) Pers. cv. Arizona Common and C. dactylo
n lc C., transvaalensis Burtt Davey cv. Midiron], buffalograss [Buchlo
e dactyloides (Nutt.) Engelm. cv. Kansas Common and Texoka], zoysiagra
ss (Zoysia japonica Steudel cv. Meyer), St. Augustinegrass [Stenotaphr
um secundatum (Walter) Kuntze cv. Raleigh and Floratam], and centipede
grass [Eremochloa ophiuroides (Munro) Hackel, cv. Common] were grown a
t temperatures ranging from 5 to 30 degrees C in a controlled environm
ent chamber under 14-h photoperiods. Chamber temperature was decreased
in a step-wise fashion to the next temperature after two leaves were
fully expanded. Leaf growth rates at each temperature were calculated
and expressed as millimeters per day. Base temperature and growth rate
constants for each turfgrass were calculated with segmented nonlinear
regression analysis. Base temperatures for the eight tested cultivars
ranged from 0 to 13 degrees C. Interspecific and intraspecific differ
ences for basal growth temperature were found, indicating that degree-
day model application accuracy is dependent on proper determination of
target species and cultivar basal growth temperature.