Modelling vertical and lateral seed bank movements during mouldboard ploughing.

Abstract The vertical distribution of weed seeds in the soil is of fundamental importance because seedling emergence depends on seed depth. The lateral displacement of the earth during mouldboard ploughing contributes to the dispersal of the weeds inside the tilled field. In order to model vertical and lateral seed displacements during ploughing, an existing model describing soil particle movements for different ploughing characteristics (depth and width) and soil structures was tested on a multilocal field trial. The trials were carried out in 1996 and 1997 and comprised two soil textures and three soil structures; tillage was performed with a mouldboard plough at varying ploughing widths and depths. Seeds were simulated by beads that were introduced immediately before ploughing with an auger at different depths and lateral positions (relative to the future passage of the coulter) within and just below the ploughed horizon. Lateral displacement and the final vertical position of the beads were measured and compared to the simulations obtained with the model. The model correctly simulated the final vertical seed co-ordinate and lateral seed displacement as a function of soil structure, ploughing width and depth and initial seed position, if ploughing depth is lower than ploughing width. If, however, the former exceeds the latter and/or if the furrows are not properly rotated, the model does not simulate the seed movements correctly. The model was then used to calculate seed transfer matrices describing vertical seed movements between seed bank layers for different conditions and plough modes and to determine the optimal ploughing mode for a given seed bank distribution. For instance, if most seeds are located in the top layer ploughing should be as deep as possible, with a low depth to width ratio to maximise soil inversion and seed burial. If, however, the seeds are concentrated in the bottom layer, the model can be used to decide how shallowly to plough in order to avoid disturbing the deeper seeds and what ploughing width to associate to this depth in order to minimise soil inversion and leave as many seeds as possible undisturbed. Ways of improving the model are suggested, particularly the necessity to simulate the effect of a skim coulter.

[1]  P. Lutman,et al.  Induction of secondary dormancy in rape seeds (Brassica napus L.) by prolonged imbibition under conditions of water stress or oxygen deficiency in darkness , 1997 .

[2]  W. E. Dyer,et al.  Exploiting Weed Seed Dormancy and Germination Requirements through Agronomic Practices , 1995, Weed Science.

[3]  S. Moss Survey on the contribution of weed biology and herbicides to weed management in the UK , 1994 .

[4]  Roger D. Cousens,et al.  A model of the effects of cultivation on the vertical distribution of weed seeds within the soil. , 1990 .

[5]  C. M. Karssen,et al.  Environmental factors influencing the expression of dormancy patterns in weed seeds. , 1989 .

[6]  R. Naylor ASPECTS OF THE POPULATION DYNAMICS OF THE WEED ALOPECURUS MYOSUROIDES HUDS. IN WINTER CEREAL CROPS , 1972 .

[7]  C. L. Mohler,et al.  Weed seedling emergence and seed survival: separating the effects of seed position and soil modification by tillage , 1997 .

[8]  L. Horng,et al.  The Effects of Depth and Duration of Burial on the Germination of Ten Annual Weed Seeds , 1978, Weed Science.

[9]  D. Buhler,et al.  Effects of Tillage on Vertical Distribution and Viability of Weed Seed in Soil , 1992, Weed Science.

[10]  C. J. Doyle,et al.  A model of the economics of controlling Alopecurus myosuroides Huds. in winter wheat , 1986 .

[11]  S. Benvenuti Soil Light Penetration and Dormancy of Jimsonweed (Datura stramonium) Seeds , 1995, Weed Science.

[12]  Comportement du sol au labour : évolution de l'état structural au cours du labour , 1993 .

[13]  P. Brain,et al.  Effects of depth of seed burial and soil aggregate size on seedling emergence of Alopecurus myosuroides, Galium aparine, Stellaria media and wheat , 1996 .

[14]  Gérard Monnier,et al.  Le profil cultural : l'état physique du sol et ses conséquences agronomiques , 1969 .

[15]  S. Moss,et al.  Guidelines for the prevention and control of herbicide-resistant black-grass (Alopecurus myosuroides Huds.) , 1994 .

[16]  David A. Mortensen,et al.  Simulation analysis of crop rotation effects on weed seedbanks. , 1995 .

[17]  H. Manichon Observation morphologique de l'état structural et mise en évidence d'effets de compactage des horizons travaillés , 1987 .

[18]  P. Jensen Effect of light environment during soil disturbance on germination and emergence pattern of weeds , 1995 .

[19]  R. Froud-Williams,et al.  Influence of Cultivation Regime Upon Buried Weed Seeds in Arable Cropping Systems , 1983 .

[20]  J. Caneill,et al.  Comportement du sol au labour : méthode d'analyse et évaluation des conséquences de l'état initial du sol sur l'état transformé par le labour , 1993 .

[21]  Claudio M. Ghersa,et al.  The fate of Datura ferox seeds in the soil as affected by cultivation, depth of burial and degree of maturity , 1988 .

[22]  James A. Young,et al.  Influences of Temperature, Light and Water Stress on Germination of Fringed Sage (Artemisia frigida) , 1995, Weed Science.

[23]  J. Schjoerring,et al.  Residual nitrogen effect of clover-ryegrass swards on yield and N uptake of a subsequent winter wheat crop as studied by use of 15N methodology and mathematical modelling , 1997 .

[24]  M. Goss,et al.  Soil Compaction and Regeneration , 2022 .

[25]  P. Lutman,et al.  Germination behaviour of dormant oilseed rape seeds in relation to temperature , 1997 .

[26]  D. Wallach,et al.  Mean squared error of prediction in models for studying ecological and agronomic systems , 1987 .

[27]  P. Debaeke,et al.  INTEGRATING CROP MANAGEMENT AND CROP ROTATION EFFECTS INTO MODELS OF WEED POPULATION DYNAMICS : A REVIEW , 1998 .

[28]  Daniel Wallach,et al.  Mean squared error of prediction as a criterion for evaluating and comparing system models , 1989 .