A plant growth model for integrated weed management in direct-seeded rice. I. Development and sensitivity analyses of monoculture growth

Field Crops Research

Volumn 62, Issue 2-3, 1999, Pages 129-143

  Caton, B P ^a   Foin, T C ^a   Hill, J E ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Cropping system; Cultural control; Light dynamics; Oryza sativa; Parameter sensitivity; Simulation; Structural sensitivity; Water management; Water seeded

Indexed keywords

GROWTH; INTEGRATED APPROACH; MODEL; MONOCULTURE; RICE; SENSITIVITY ANALYSIS; WEED CONTROL;

ORYZA SATIVA;

EID: 0033047409     PISSN: 03784290     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-4290(99)00010-6     Document Type: Article

References (68)

1. Bastiaans, L., Kropff, M.J., Kempuchetty, N., Rajan, A., Migo, T.R., 1997. Can simulation models help design rice cultivars that are more competitive against weeds? Field Crops Res. 51, 101-111.
2. Boote, K.J., Loomis, R.S., 1991. The prediction of canopy assimilation, In: Boote, K.F., Loomis, R.S. (Eds.), Modeling Crop Photosynthesis - From Biochemistry to Canopy, American Society of Agronomy and Crop Science Society of America, Madison, WI, pp. 109-140.
3. Boote K.J., Pickering N.B. Modeling photosynthesis of row crop canopies. HortSci. 29:1994;1423-1434.
4. Bouhache M., Bayer D.E. Photosynthetic response of flooded rice (Oryza sativa) and three Echinochloa species to changes in environmental factors. Weed Sci. 41:1993;611-614.
5. Breen, J.L., 1995. The design, parameterization and validation of CANWER, a model to simulate biomass development, shading, tillering and yield of direct-seeded rice in competition with broadleaf weeds, Ph.D. dissertation, University of California, Davis, CA.
6. Caton B.P., Foin T.C., Gibson K.D., Hill J.E. A temperature-based model of direct-, water-seeded rice (Oryza sativa) stand establishment in California. Agric. For. Meteorol. 90:1998;91-102.
7. Caton, B.P., Foin, T.C., Hill, J.E., 1999a. A plant growth model for integrated weed management in direct-seeded rice: II. Validation testing of water-depth effects and monoculture growth, Field Crops Res. 62, 145-155.
8. Caton, B.P., Foin, T.C., Hill, J.E., 1999b. A plant growth model for integrated weed management in direct-seeded rice: III. Interspecific competition for light, Field Crops Res. in press.
9. Chapman A.L., Peterson M.L. The seedling establishment of rice under water in relation to temperature and dissolved oxygen. Crop Sci. 2:1962;391-395.
10. Cook M.G., Evans L.T. Some physiological aspects of the domestication and improvement of rice (Oryza spp.). Field Crops Res. 6:1983;219-238.
11. Cousens R., Brain P., O'Donovan J.T., O'Sullivan P.A. The use of biologically realistic equations to describe the effects of weed density and relative time of emergence on crop yield. Weed Sci. 35:1987;720-723.
12. Cussans, G.W., 1995. Integrated weed management, In: Glen, D.M., Greaves, M.P., Anderson, H.M. (Eds.), Ecology and Integrated Farming Systems, Wiley, London, pp. 17-29.
13. De Datta, S.K., 1981. Principles and Practices of Rice Production, Wiley Interscience, New York, 618 pp.
14. De Datta S.K. Technology development and the spread of direct seeded flooded rice in Southeast Asia. Exp. Agric. 22:1986;417-426.
15. Doyle C.J. Mathematical models in weed management. Crop Prot. 10:1991;432-444.
16. Elmore C.L. A reintroduction to integrated weed management. Weed Sci. 44:1996;409-412.
17. Firbank L.G., Watkinson A.R. Modelling the population dynamics of an arable weed and its effects upon crop yield. J. Appl. Ecol. 23:1986;147-159.
18. Forseth, I.N., Norman, J.M., 1993. Modelling of solar irradiance, leaf energy budget and canopy photosynthesis, In: Hall, D.O., Scurlock, J.M.O., Bolhar-Nordenkampf, H.R., Leegood, R.C., Long, S.P. (Eds.), Photosynthesis and Production in a Changing Environment: A Field and Laboratory Manual, Chapman and Hall, New York, pp. 207-219.
19. Gerald, C.F., Wheatley, P.O., 1989. Applied Numerical Analysis, Addison Wesley, New York.
20. Goudriaan J. A simple and fast numerical method for the computation of daily totals of crop photosynthesis. Agric. For. Meteorol. 38:1986;249-254.
21. Goudriaan J. The bare bones of leaf-angle distribution in radiation models for canopy photosynthesis and energy exchange. Agric. For. Meteorol. 43:1988;155-169.
22. Graf B., Hill J.E. Modelling the competition for light and nitrogen between rice and Echinochloa crus-galli. Agric. Sys. 40:1992;345-359.
23. Graf B., Rakotobe O., Zahner P., Delucchi V., Gutierrez A.P. A simulation model for the dynamics of rice growth and development: I. The carbon balance. Agric. Sys. 32:1990;341-365.
24. Hill J.E., Smith R.J.J., Bayer D.E. Rice weed control: Current technology and emerging issues in temperate rice. Aust. J. Exp. Agric. 34:1994;1021-1029.
25. Hill, J.E., Kesselring, T.J., Williams, J.F., Scardaci, S.C., Canevari, W.M., Mutters, C.G., 1997. California rice varieties: Description and performance summary of the 1996 and multiyear statewide rice variety tests in California, Agronomy Progress Report no. 258, University of California, Davis, CA.
26. Hoshikawa, K., 1975. Growth of the Rice Plant, Nosan-gyoson-Bunka-Kyokai, Tokyo, 317 pp.
27. Humphreys L., Sides R., Fattore A. Rice establishment: Deep water and turbidity both reduce temperature and light near the seed. Farmers' Newsletter, Large Area. 147:1996;30-31.
28. Johnson I.R., Thornley J.H.M. A model of instantaneous and daily canopy photosynthesis. J. Theor. Biol. 107:1984;531-545.
29. Kirk, J.T.O., 1994. Light and Photosynthesis in Aquatic Ecosystems, 2nd edn., Cambridge University Press, Cambridge, UK, 401 pp.
30. Kropff, M.J., 1993. Mechanisms of competition for light, In: Kropff, M.J., van Laar, H.H. (Eds.), Modeling Crop-Weed Interactions, CAB International, Wallingford, UK, pp. 33-62.
31. Kropff, M.J., Lotz, L.A.P., 1993. Eco-physiological characterization of the species, In: Kropff, M.J., van Laar, H.H. (Eds.), Modeling Crop-Weed Interactions, CAB International, Wallingford, UK, pp. 83-104.
32. Kropff, M.J., van Laar, H.H. (Eds.), 1993. Modelling Crop-Weed Interactions, CAB International, Wallingford, UK, 274 pp.
33. Kropff M.J., Weaver S.E., Smits M.A. Use of ecophysiological models for crop-weed interference: Relations amongst weed density, relative time of weed emergence, relative leaf area, and yield loss. Weed Sci. 40:1992;296-301.
34. Kropff, M.J., van Kraalingen, D.W.G., van Laar, H.H., 1993a. Program structure of the model INTERCOM, In: Kropff, M.J., van Laar, H.H. (Eds.), Modeling Crop-Weed Interactions, CAB International, Wallingford, UK, pp. 201-246.
35. Kropff, M.J., Weaver, S.E., Lotz, L.A.P., Lindquist, J.L., Joenje, W., Schnieders, B.J., van Keulen, N.C., Migo, T.R., Fajardo, F.F., 1993b. Understanding crop-weed interaction in field situations, In: Kropff, M.J., van Laar, H.H. (Eds.), Modeling Crop-Weed Interactions, CAB International, Wallingford, UK, pp. 105-136.
36. Leuning R., Kelliher F.M., De Pury D.G.G., Schulze E.-D. Leaf nitrogen, photosynthesis, conductance and transpiration: Scaling from leaves to canopies. Plant Cell Environ. 18:1995;1183-1200.
37. Lindquist J.L., Kropff M.J. Applications of an ecophysiological model for irrigated rice (Oryza sativa)-Echinochloa competition. Weed Sci. 44:1996;52-56.
38. Lindquist, J.L., Kropff, M.J., 1997. Improving rice tolerance to barnyardgrass through early crop vigour: Simulations with INTERCOM, In: Kropff, M.J., Teng, P.S., Aggarwal, P.K., Bouma, J., Bouman, B.A.M., Jones, J.W., van Laar, H.H. (Eds.), Applications of Systems Approaches at the Field Level. Systems Approaches for Sustainable Agricultural Development, Kluwer Academic Publishers, London, pp. 53-62.
39. Mackill D.J., Amante M.M., Vergara B.S., Sarkarung S. Improved semidwarf rice lines with tolerance to submergence of seedlings. Crop Sci. 33:1993;749-753.
40. McMennamy, J.A., O'Toole, J.C., 1983. RICEMOD: A physiologically based rice growth and yield model, IRRI Res. Pap. Ser. 87, IRRI, Los Baños, The Philippines, 33 pp.
41. Miller D.R. Sensitivity analysis and validation of simulation models. J. Theor. Biol. 48:1974;345-360.
42. Miller, B.C., 1989. A study of rice growth and development designed to develop CARICE: A rice growth model for scheduling management actions and evaluating management strategies under California's direct-seeded, continuously-flooded culture, Ph.D. dissertation, University of California, Davis, CA, 107 pp.
43. Miller B.C., Hill J.E., Roberts S.R. Plant population effects on growth and yield in water-seeded rice. Agron. J. 83:1991;291-297.
44. Miller B.C., Foin T.C., Hill J.E. CARICE: A rice model for scheduling and evaluating management actions. Agron. J. 85:1993;938-947.
45. Mood, A.M., Graybill, F.A., 1963. Introduction to the Theory of Statistics, McGraw-Hill, New York, 443 pp.
46. Navas M.-L. Using plant population biology in weed research: A strategy to improve weed management. Weed Res. 31:1991;171-179.
47. Noda K., Ozawa K., Ibaraki K. Studies on the damage on rice plants due to weed competition (effect of barnyardgrass competition on growth, yield, and some ecophysiological aspects of rice plants). Bull. Kyushu Agric. Exp. Stn. 13:1968;345-367.
48. Pachepsky L.B., Haskett J.D., Acock B. An adequate model of photosynthesis - I. Parameterization, validation and comparison of models. Agric. Sys. 50:1996;209-225.
49. Peng S., Cassman K.G., Kropff M.J. Relationship between leaf photosynthesis and nitrogen content of field-grown rice in tropics. Crop Sci. 35:1995;1627-1630.
50. Penning de Vries, F.W.T., Jansen, D.M., ten Berge, H.F.M., Bakema, A., 1989. Simulation of Ecophysiological Processes of Growth in Several Annual Crops, Pudoc, Wageningen, The Netherlands, 271 pp.
51. Robertson M.J. Relationships between internode elongation, plant height and leaf appearance in maize. Field Crops Res. 38:1994;135-145.
52. 2 concentrations. Aust. J. Plant Physiol. 16:1989;265-278.
53. Setter T.L., Conocono E.A., Egdane J.A., Kropff M.J. Possibility of increasing yield potential of rice by reducing panicle height in the canopy. I. Effects of panicles on light interception and canopy photosynthesis. Aust. J. Plant Physiol. 22:1995;441-451.
54. Setter T.L., Ellis M., Laureles E.V., Ella E.S., Senadhira D., Mishra S.B., Sarkarung S., Datta S. Physiology and genetics of submergence tolerance in rice. Ann. Bot. 79(Supp.A):1997;67-77.
55. Spitters C.J.T. Separating the diffuse and direct component of global radiation and its implications for modeling canopy photosynthesis. Part II. Calculation of canopy photosynthesis. Agric. For. Meteorol. 38:1986;231-242.
56. Spitters C.J.T., Toussaint H.A.J.M., Goudriaan J. Separating the diffuse and direct component of global radiation and its implications for modeling canopy photosynthesis. Part I. Components of incoming radiation. Agric. For. Meteorol. 38:1986;217-229.
57. Swanton C.J., Weise S.F. Integrated weed management: The rationale and approach. Weed Tech. 5:1991;657-663.
58. Thornley, J.H.M., Johnson, I.R., 1990. Plant and Crop Modelling: A Mathematical Approach to Plant and Crop Physiology, Oxford University Press, Oxford, UK, 669 pp.
59. Whitton B.A., Aziz A., Francis P., Rother J.A., Simon J.W., Tahmida Z.N. Ecology of deepwater rice-fields in Bangladesh. 1. Physical and chemical environment. Hydrobiologia. 169:1988;3-67.
60. Williams J.F., Roberts S.R., Hill J.E., Scardaci S.C., Tibbitts G. Managing water for weed control in rice. Calif. Agric. 44:1990;7-10.
61. Williams, J.F., Scardaci, S.C., Hill, J.E., 1994. Water depth in an integrated rice weed control program, In: Humphreys, E., Murray, E.A., Clampett, W.S., Lewin, L.G. (Eds.), Temperate Rice Conference, Temperate Rice Conference Organising Committee, Griffith, NSW, Australia, pp. 409-415.
62. Wu G.W., Wilson L.T. Parameterization, verification, and validation of a physiologically complex age-structured rice simulation model. Agric. Sys. 56:1998;483-511.
63. Wyse D.L. New technologies and approaches for weed management in sustainable agriculture systems. Weed Tech. 8:1994;403-407.
64. Yamasue Y., Murayama H., Inoue H., Matsui T., Kusanagi T. Productive structures of rice and Echinochloa oryzicola Vasing. in mixed stands. J. Weed Sci. Tech. 42:1997;357-365.
65. Yamauchi M., Chuong P.V. Rice seedling establishment as affected by cultivar, seed coating with calcium peroxide, sowing depth, and water level. Field Crops Res. 41:1995;123-134.
66. Yoshida, S., 1981. Fundamentals of Rice Crop Science. International Rice Research Institute, Manila, Philippines, 269 pp.
67. Yusoff M.A., Zainol A.A. Interception of photosynthetically active radiation of some Malaysian rice genotypes. MARDI Res. J. 17:1989;178-185.
68. Zalom, F.G., Goodell, P.B., Wilson, L.T., Barnett, W.W., Bentley, W.J. , 1983. Degree-days: The calculation and use of heat units in pest management, Leaflet No. 21373, University California, Div. Agric. Nat. Resources, Berkeley, CA.