References
- Brown, R. F. and P. G. Mayer. 1988. Representing cumulative germination. 2. The use of the Weibull function and other empirically derived functions. Annal. Bot. 61 : 127-138 https://doi.org/10.1093/oxfordjournals.aob.a087535
- Cussans, G. W., S. Raudonius, P. Brain, and S. Cumberworth. 1996. Effects of depth of seed burial and soil aggregate size on seedling emergence of Alopecurus myosuroides, Galium aparine, Stellaria media and wheat (Triticum aestivum L.). Weed Res. 36 : 133-142 https://doi.org/10.1111/j.1365-3180.1996.tb01809.x
- Ekeleme, F., F. Forcella, D. W. Archer, D. Chikoye, and I. O. Akobundu. 2004. Simulation of shoot emergence pattern of cogograss (Imperata cylindrical) in the humid tropics. Weed Sci. 52 : 961-967 https://doi.org/10.1614/WS-03-146R1
- Forcella, F. R. 1993. Seedling emergence model for velvetleaf. Agro. J. 85 : 929-933 https://doi.org/10.2134/agronj1993.00021962008500040026x
- Forcella, F. R., L. Benech-Arnold, R. Sanchez, and C. M. Ghersa. 2000. Modeling seedling emergence. Field Crops Res. 67: 123-139 https://doi.org/10.1016/S0378-4290(00)00088-5
- Genstat 5 Committee. 1997. Genstat 5 Release 4.1: Reference Manual Supplement to Genstat 5 Committee (1993) Genstat 5 Reference Manual Release 3. Oxford, UK: Numerical Algorithms Group
- Gompertz, B. 1825. On the nature of the functions expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Philos. Trans., 115 : 513-585 https://doi.org/10.1098/rstl.1825.0026
- Holm, L., D. Pucknette, J. Pnacho, and J. Herberger. 1977. The World's Worst Weeds: Distribution and biology. Univ. Hawaii Press, Honolulu, USA
- Kim, D. S. 1993. Characterization of emergence and early growth of Echinochloa spp. and rice under the condition of direct-seeding rice culture. MSc thesis, Suwon, Seoul National University
- King, C. A. and L. R. Oliver. 1994. A model for predicting large crabgrass (Digitaria sanguinalis) emergence as influenced by temperature and water potential. Weed Sci. 42: 561-567
- Kropff, M. J. 1988. Modelling the effects of weeds on crop production. Weed Res. 28 : 465-471 https://doi.org/10.1111/j.1365-3180.1988.tb00829.x
- Kwon, Y. W., D. S. Kim, and S. W. Park. 1996. Effect of soil temperature on the emergence-speed of rice and bamyardgrasses under dry direct-seeding condition. Kor. J. Weed Sci. 16 : 81-87
- Kwon, Y. W., B. W. Lee, and D. S. Kim. 1996. Seedling emergence of rice, weedy rice and Echinochloa species sown before wintering and in the early spring. Kor. J. Weed Sci. 16 : 88-89
- Lapp, M. S. and W. P. Skoropad. 1976. A mathematical model of conodial germination and appressorial formation for Colletotrichum graminicola. Can. J. Bot. 54 : 2239-2242 https://doi.org/10.1139/b76-240
- Myers, M. W., W. S. Curran, M. J. VanGessel, D. D. Calvin, D. A. Mortensen, B. A. Majek, H. D. Karsten, and G. W. Roth. 2004. Predicting weed emergence for eight annual in the northeastern United States. Weed Sci. 52 : 913-919 https://doi.org/10.1614/WS-04-025R
- Norris, R. F. 1992. Case history for weed competition/population ecology: barnyardgrass (Echinochloa crus-galli) in sugar beets (Beta vulgaris). Weed Tech. 6 : 220-227 https://doi.org/10.1017/S0890037X0003459X
- Oliver, L. R. 1979. Influence of soybean (Glycine max) planting date on velvetleaf (Abutilon theophrasti) competition. Weed Sci. 27 : 183-188
- Prostko, E. P., H. I. Wu, J. M. Chandler, and S. A. Senseman. 1997. Modeling weed emergence as influenced by burial depth using the Fermi-Dirac distribution function. Weed Sci. 45 : 242-248
- Prostko, E. P., H. I. Wu, and J. M. Chandler. 1998. Modeling seedling johnsongrass (Sorghum halepense) emergence as influenced by temperature and burial depth. Weed Sci. 46: 549-554
- Vleeshouwers, L. M. 1997. Modelling the effect of temperature, soil penetration resistance, burial depth and seed weight on pre-emergence growth of weeds. Annal. Bot. 79 : 553-563 https://doi.org/10.1006/anbo.1996.0377
- Weaver, S. E., C. S. Tan, and P. Brain. 1988. Effect of temperature and soil moisture on time of emergence of tomatoes and four weed species. Can. J. Plant Sci. 68 : 877-886 https://doi.org/10.4141/cjps88-105