A biophysical dairy farm model to evaluate rotational grazing management strategies

This paper describes a biophysical dairy farm model developed as part of the SEPATOU system that simulates pasture-dominated feeding strategies in a dairy cow enterprise. It can reproduce the effects of various technical management options applied to a set of grazing fields on a daily basis over a period of several months. The model is made up of three submodels that deal with the soil (availability of water), sward and animal (cow intake and milk yield) components. It includes as driving variables the main factors that farmers can control (nitrogen fertilizer rate, defoliation frequency and intensity, composition of cows' diet) in order to attain some objectives such as the intended grazing herbage contribution in the cows' diet or the amount of milk produced per cow or per ha. The intended purpose of the SEPATOU system has led to several original developments. In order to simulate various defoliation regimes, growth and senescence processes are dissociated as there is no longer synchronization between them, and the effect of grazing intensity is expressed in terms of the ratio between the herbage mass after and before grazing. The animal intake submodel that can deal with mixed feeding combines two approaches, one based on energy requirements and the other on the relationship between herbage mass, herbage digestibility and intake. The model of herbage digestibility is based on herbage mass and takes into account its variation down the sward profile; this latter aspect plays a key role in the plant-animal interaction. The model has been validated using typical farm cases in Brittany. It provides realistic estimates of the state variables involved in the processes, such as herbage mass and daily milk yield, and it credibly predicts the timing of key events (e.g. date of turnout to grass, end of first grazing cycle).

[1]  M J Cros,et al.  Simulating rotational grazing management. , 2001, Environment international.

[2]  S. Prache,et al.  Préhensibilité de l'herbe pâturée chez les bovins et les ovins , 1997 .

[3]  J. Peyraud,et al.  Review of the effect of nitrogen fertilization on the chemical composition, intake, digestion and nutritive value of fresh herbage: consequences on animal nutrition and N balance , 1998 .

[4]  Gilles Lemaire,et al.  Relation entre dynamique de croissance et dynamique de prélèvement d'azote pour un peuplement de graminées fourragères. I. — Etude de l'effet du milieu , 1984 .

[5]  W. Holmes,et al.  The influence of size of animal and stocking rate on the herbage intake and grazing behaviour of cattle , 1983, The Journal of Agricultural Science.

[6]  M. Duru,et al.  Growth and Senescence of the Successive Leaves on a Cocksfoot Tiller. Effect of Nitrogen and Cutting Regime , 2000 .

[7]  Donald Kerr,et al.  DAIRYPRO—a knowledge-based decision support system for strategic planning on sub-tropical dairy farms. I. System description , 1999 .

[8]  M. Freer,et al.  GRAZPLAN: Decision support systems for Australian grazing enterprises—I. Overview of the GRAZPLAN project, and a description of the MetAccess and LambAlive DSS , 1997 .

[9]  D. J. Minson,et al.  Prospects for improving the digestibility and intake of tropical grasses. , 1980 .

[10]  G. Lemaire,et al.  N Uptake and Distribution in Plant Canopies , 1997 .

[11]  Marie-Josée Cros SEPATOU: a Decision Support System for the Management of Rotational Grazing in a Dairy Production , 2001 .

[12]  Jr Wilson Variation of leaf characteristics with level of insertion on a grass tiller. 1. Development rate, chemical composition and dry matter digestibility , 1976 .

[13]  M. Duru,et al.  In vitro digestibility response of cocksfoot (Dactylis glomerata L.) to growth and defoliation: a simple model , 1999, The Journal of Agricultural Science.

[14]  F. Gastal,et al.  Generation of Form and Associated Mass Deposition during Leaf Development in Grasses: a Kinematic Approach for Non-steady Growth , 1997 .

[15]  T. Kristensen,et al.  Simulated effect on dairy cow and herd production of different grazing intensities , 1997 .

[16]  R. C. Muchow,et al.  Radiation Use Efficiency , 1999 .

[17]  A. Langlet,et al.  Comparaison des dynamiques d'apparition et de mortalité des organes de fétuque élevée, dactyle et luzerne (feuilles, talles et tiges) , 1993 .

[18]  J. Aufrere Etude de la prévision de la digestibilité des fourrages par une méthode enzymatique , 1982 .

[19]  I. Wright Field and Laboratory Methods for Grassland and Animal Production Research , 2002 .

[20]  C. Demarquilly,et al.  INFLUENCE DE LA FERTILISATION AZOTÉE SUR LA VALEUR ALIMENTAIRE DES FOURRAGES VERTS , 1970 .

[21]  M. Robson,et al.  Nitrogen Deficiency in Small Closed Communities of S24 Ryegrass. II. Changes in the Weight and Chemical Composition of Single Leaves During Their Growth and Death , 1978 .

[22]  J. Donnelly,et al.  DECISION SUPPORT : DELIVERING THE BENEFITS OF GRAZING SYSTEMS RESEARCH , 1999 .

[23]  J. B. Dent,et al.  The Plant/Animal Interface in Models of Grazing Systems , 2018, Agricultural Systems modeting and Simulation.

[24]  M. Robson,et al.  The grass plant—its form and function , 1988 .

[25]  F. Papy,et al.  Modelling decision-making processes for annual crop management , 1998 .

[26]  J. Monteith SOLAR RADIATION AND PRODUCTIVITY IN TROPICAL ECOSYSTEMS , 1972 .

[27]  S. Recous,et al.  STICS : a generic model for the simulation of crops and their water and nitrogen balances. I. Theory, and parameterization applied to wheat and corn , 1998 .

[28]  Graeme C. Wake,et al.  Optimal grazing of a multi-paddock system using a discrete time model , 1995 .

[29]  J. W. Stuth,et al.  Modelling pasture and animal production. , 2000 .

[30]  Simulation of biomass, carbon and nitrogen accumulation in grass to link with a soil nitrogen dynamics model , 1998 .

[31]  D. R. Buckmaster,et al.  A grazing simulation model : GRASIM A : Model development , 1997 .

[32]  J. Cherney,et al.  Nitrogen management and sustainability , 1998 .

[33]  D. Wilman,et al.  Concentrations of N, P, K, Ca, Mg and Na in perennial ryegrass and white clover leaves of different ages , 1994 .

[34]  G. Lemaire,et al.  The effect of daily herbage allowance, herbage mass and animal factors upon herbage intake by grazing dairy cows , 1996 .

[35]  J. Angus,et al.  An integrated model for growth and nutritional value of timothy , 1995 .

[36]  Andrew D. Moore,et al.  GRAZPLAN: Decision support systems for Australian grazing enterprises. III. Pasture growth and soil moisture submodels, and the GrassGro DSS , 1997 .

[37]  Gilles Lemaire,et al.  Production maximale de matière sèche et rayonnement solaire intercepté par un couvert végétal , 1986 .

[38]  C. Topp,et al.  Simulating the impact of global warming on milk and forage production in Scotland: 2. The effects on milk yields and grazing management of dairy herds , 1996 .

[39]  S J Woodward,et al.  Validating a model that predicts daily growth and feed quality of New Zealand dairy pastures. , 2001, Environment international.

[40]  Anthony J. Parsons,et al.  Plant growth functions and possible spatial and temporal scaling errors in models of herbivory , 2001 .

[41]  H. Dove Constraints to the modelling of diet selection and intake in the grazing ruminant , 1996 .

[42]  I. R. Johnson,et al.  Physiological models of grass growth , 1988 .

[43]  P. D. P. Wood,et al.  Factors affecting the shape of the lactation curve in cattle , 1969 .

[44]  G. Bélanger,et al.  Growth Analysis of a Tall Fescue Sward Fertilized with Different Rates of Nitrogen , 1992 .

[45]  Edward J. Rykiel,et al.  Testing ecological models: the meaning of validation , 1996 .

[46]  J. Woledge,et al.  The Effect of Temperature on Photosynthesis of Ryegrass and White Clover Leaves , 1982 .

[47]  C. J. Doyle,et al.  A simulation model of bull beef production under rotational grazing in the Waikato Region of New Zealand , 1989 .

[48]  Claude Varlet-Grancher,et al.  Mise au point: Rayonnement solaire absorbé ou intercepté par un couvert végétal , 1989 .

[49]  J. Leaver Milk production from grazed temperate grassland , 1985, Journal of Dairy Research.

[50]  R Seznec,et al.  MODELISATION ET SIMULATION , 1981 .

[51]  Anthony J. Parsons,et al.  Use of a model to optimize the interaction between frequency and severity of intermittent defoliation and to provide a fundamental comparison of the continuous and intermittent defoliation of grass , 1988 .

[52]  Robert G. Sargent,et al.  Validation and verification of simulation models , 1999, Proceedings of the 2004 Winter Simulation Conference, 2004..

[53]  A. Davies The Regrowth of Grass Swards , 1988 .

[54]  P. Cox Some issues in the design of agricultural decision support systems , 1996 .

[55]  C. W. Holmes,et al.  Some effects of herbage composition, as influenced by previous grazing management, on milk production by cows grazing on ryegrass/white clover pastures. 2. Milk production in late spring/summer: effects of grazing intensity during the preceding spring period , 1992 .

[56]  M. Duru,et al.  Modeling growth of cocksfoot (Dactylis glomerata L.) and tall fescue (Festuca arundinacea schreb.) at the end of spring in relation to herbage nitrogen status , 1995 .