Abstract
A model was developed to simulate germination of loblolly pine in nurseries. The model inputs included sowing depth, mulch type, amount of mulch, daily mean temperature, length of seed stratification period, seed quality (germination determined by a seed testing laboratory), and temperature used by the seed testing laboratory to determine seed quality. The model simulated daily germination as percent of the total number of seeds sown. Germination data observed by Boyer et al. (1987) in 1984 at Jake Stauffer Alabama Forestry Commission nursery near Opelika, Alabama, was used to test the model. The cumulative germination curve predicted by the model closely followed the observed data. An analysis of the model indicated that the predicted germination rate was more sensitive to the input values of sowing depth, length of seed stratification period, laboratory determined germination, and amount of mulch than to the other model input parameters.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
