Planning for whole-farm systems research at a credible scale: subdividing land into farmlets with equivalent initial conditions
J. M. Scott A H , M. Munro B , N. Rollings B C , W. Browne D , P. J. Vickery E , C. Macgregor A , G. E. Donald F and H. Sutherland GA School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
B Formerly, School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
C 25 Caringa Street, Urangan, Qld 4655, Australia.
D 22 Trim Street, Armidale, NSW 2350, Australia.
E 12 Caroline Crescent, Armidale, NSW 2350, Australia.
F Precision Agriculture Research Group, University of New England, Armidale, NSW 2351, Australia.
G ‘Deeargee’, Uralla, NSW 2358, Australia.
H Corresponding author. Email: dr.jimscott@gmail.com
Animal Production Science 53(8) 618-627 https://doi.org/10.1071/AN11176
Submitted: 14 August 2011 Accepted: 27 March 2012 Published: 10 July 2013
Journal Compilation © CSIRO Publishing 2013 Open Access CC BY-NC-ND
Abstract
Most research comparing different farming systems has been conducted on relatively uniform plots at small scales made necessary by the desire for sufficient replication of the systems and cost limitations. This paper describes an alternative approach to plan the allocation of land to three unreplicated whole-farm management systems such that each farmlet had equivalent starting conditions and yet was at a scale credible to both livestock producers and researchers. The paddocks of each farmlet were distributed across the landscape in a ‘patchwork quilt’ pattern after six iterations of a mapping exercise using a Geographic Information System. Allocation of paddocks took into account those variables of the landscape and natural resource capacity that were not able to be altered. An important benefit of the procedure was that it ensured that the farmlets were co-located with contiguous paddock boundaries so that all farmlets experienced the same climatic as well as biophysical conditions. An electromagnetic survey was conducted of the entire property and used in conjunction with a detailed soils map in order to classify areas into soil conductivity groupings. Equivalent areas of each soil type were allocated across the three farmlets. Similarly, land was distributed according to its topography so that no farmlet would be compromised by being allocated more low lying, flood-prone land than any other farmlet. The third factor used to allocate land to each farmlet was the prior fertiliser history of the original paddocks. This process ensured that each farmlet was objectively allocated equivalent areas of soil type, topography and fertiliser history thus avoiding initial bias among the farmlets. After the plan for all paddocks of each farmlet was finalised, new paddock boundaries were drawn and where necessary, fencing was removed, modified and added, along with re-arranged watering points. The farmlet treatments commenced in July 2000 when the first pasture establishment and differential fertiliser applications were carried out. Evidence from the electromagnetic survey and the Landsat imagery confirmed that the distribution of hydrologic soil conductivity and vegetation greenness were similar between all farmlets just before the commencement of the experiment.
References
Beecher HG, Hume IH, Dunn BW (2002) Improved method for assessing rice soil suitability to restrict recharge. Australian Journal of Experimental Agriculture 42, 297–307.| Improved method for assessing rice soil suitability to restrict recharge.Crossref | GoogleScholarGoogle Scholar |
Begg JE (1959) Annual pattern of soil moisture stress under sown and native pastures. Australian Journal of Agricultural Research 10, 518–529.
| Annual pattern of soil moisture stress under sown and native pastures.Crossref | GoogleScholarGoogle Scholar |
Bell AK, Allan CJ (2000) PROGRAZE – an extension package in grazing and pasture management. Australian Journal of Experimental Agriculture 40, 325–330.
| PROGRAZE – an extension package in grazing and pasture management.Crossref | GoogleScholarGoogle Scholar |
Bywater AC (1990) Exploitation of the systems approach in technical design of agricultural enterprises. In ‘Systems theory applied to agriculture and the food chain’. (Eds J Jones, P Street) pp. 61–88. (Elsevier Applied Science: London)
Carré F, McBratney AB, Minasny B (2007) Estimation and potential improvement of the quality of legacy soil samples for digital soil mapping. Geoderma 141, 1–14.
| Estimation and potential improvement of the quality of legacy soil samples for digital soil mapping.Crossref | GoogleScholarGoogle Scholar |
Clark DA (2010) Contribution of farmlet scale research in New Zealand and Australia to improved dairy farming systems. In ‘Proceedings of the 4th Australasian dairy science symposium’. (Eds GR Edwards, RH Bryant) pp. 112–124. (Caxton Press: Christchurch, New Zealand)
Dalgliesh NP, Foale MA, McCown RL (2009) Re-inventing model-based decision support with Australian dryland farmers. 2. Pragmatic provision of soil information for paddock-specific simulation and farmer decision making. Crop and Pasture Science 60, 1031–1043.
| Re-inventing model-based decision support with Australian dryland farmers. 2. Pragmatic provision of soil information for paddock-specific simulation and farmer decision making.Crossref | GoogleScholarGoogle Scholar |
Donald GE, Scott JM, Vickery PJ (2013) Satellite derived evidence of whole farmlet and paddock responses to management and climate. Animal Production Science 53, 699–710.
| Satellite derived evidence of whole farmlet and paddock responses to management and climate.Crossref | GoogleScholarGoogle Scholar |
Fales SL, Muller LD, Ford SA, Osullivan M, Hoover RJ, Holden LA, Lanyon LE, Buckmaster DR (1995) Stocking rate affects production and profitability in a rotationally grazed pasture system. Journal of Production Agriculture 8, 88–96.
Grainger C (1998) ABC Farms Final Report. Victorian Department of Natural Resources and Environment, Ellinbank, Victoria.
Guppy CN, Edwards C, Blair GJ, Scott JM (2013) Whole-farm management of soil nutrients drives productive grazing systems: the Cicerone farmlet experiment confirms earlier research. Animal Production Science 53, 649–657.
| Whole-farm management of soil nutrients drives productive grazing systems: the Cicerone farmlet experiment confirms earlier research.Crossref | GoogleScholarGoogle Scholar |
Hinch GN, Hoad J, Lollback M, Hatcher S, Marchant R, Colvin A, Scott JM, Mackay D (2013) Livestock weights in response to three whole-farmlet management systems. Animal Production Science 53, 727–739.
| Livestock weights in response to three whole-farmlet management systems.Crossref | GoogleScholarGoogle Scholar |
Hutchinson KJ (1997) Grazing Systems. In ‘CSIRO Armidale: fifty years of pastoral research, 1947–1997’. (Ed. JL Wheeler) pp. 35–66. (CSIRO Division of Animal Production: Armidale, NSW)
Jago JG, Davis KL, Copeman PJ, Ohnstad I, Woolford MM (2007) Supplementary feeding at milking and minimum milking interval effects on cow traffic and milking performance in a pasture-based automatic milking system. The Journal of Dairy Research 74, 492–499.
| Supplementary feeding at milking and minimum milking interval effects on cow traffic and milking performance in a pasture-based automatic milking system.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhtlSmtb3I&md5=23d9468c3e4830bc22c427c8e9359339CAS | 17922936PubMed |
Kaine G, Doyle B, Sutherland H, Scott JM (2013) Surveying the management practices and research needs of graziers in the New England region of New South Wales. Animal Production Science 53, 602–609.
| Surveying the management practices and research needs of graziers in the New England region of New South Wales.Crossref | GoogleScholarGoogle Scholar |
Kemp DR, Michalk DL, Virgona JM (2000) Towards more sustainable pastures: lessons learnt. Australian Journal of Experimental Agriculture 40, 343–356.
| Towards more sustainable pastures: lessons learnt.Crossref | GoogleScholarGoogle Scholar |
Lambert MG, Clark DA, Grant DA, Costall DA, Fletcher RH (1983) Influence of fertiliser and grazing management on North Island moist hill country. 1. Herbage accumulation. New Zealand Journal of Agricultural Research 26, 95–108.
| Influence of fertiliser and grazing management on North Island moist hill country. 1. Herbage accumulation.Crossref | GoogleScholarGoogle Scholar |
Langeveld JWA, Verhagen A, Neeteson JJ, van Keulen H, Conijn JG, Schils RLM, Oenema J (2007) Evaluating farm performance using agri-environmental indicators: recent experiences for nitrogen management in The Netherlands. Journal of Environmental Management 82, 363–376.
| Evaluating farm performance using agri-environmental indicators: recent experiences for nitrogen management in The Netherlands.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXmvFSrtb0%3D&md5=e0c7c6b15315cdc5cb580424315fc1a2CAS |
Laws JA, Pain BF, Jarvis SC, Scholefield D (2000) Comparison of grassland management systems for beef cattle using self-contained farmlets: effects of contrasting nitrogen inputs and management strategies on nitrogen budgets, and herbage and animal production. Agriculture Ecosystems & Environment 80, 243–254.
| Comparison of grassland management systems for beef cattle using self-contained farmlets: effects of contrasting nitrogen inputs and management strategies on nitrogen budgets, and herbage and animal production.Crossref | GoogleScholarGoogle Scholar |
Ledgard SF, Penno JW, Sprosen MS (1999) Nitrogen inputs and losses from clover/grass pastures grazed by dairy cows, as affected by nitrogen fertilizer application. The Journal of Agricultural Science 132, 215–225.
| Nitrogen inputs and losses from clover/grass pastures grazed by dairy cows, as affected by nitrogen fertilizer application.Crossref | GoogleScholarGoogle Scholar |
Lowe KF (2007) 2006 Presidential Address: the changing face of forage systems for subtropical dairying in Australia. Tropical Grasslands 41, 1–8.
Murison R, Scott JM (2013) Statistical methodologies for drawing causal inference from an unreplicated farmlet experiment conducted by the Cicerone Project. Animal Production Science 53, 643–648.
| Statistical methodologies for drawing causal inference from an unreplicated farmlet experiment conducted by the Cicerone Project.Crossref | GoogleScholarGoogle Scholar |
R Development Core Team (2009) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing) Available at http://www.R-project.org [Verified 20 June 2012]
Roe R (1947) Preliminary survey of the natural pastures of the New England District of New South Wales and a general discussion of their problems. Bulletin No. 210. Council for Scientific and Industrial Research, Melbourne.
Schafer BM (1980) A description of the soils on the CSIRO Pastoral Research Laboratory property, Chiswick, Armidale, NSW. Technical Paper No. 8. CSIRO Animal Research Laboratories, Armidale, NSW.
Schnug E, Panten K, Haneklaus S (1998) Sampling and nutrient recommendations – the future. Communications in Soil Science and Plant Analysis 29, 1455–1462.
| Sampling and nutrient recommendations – the future.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1cXlvVSmtrY%3D&md5=96e3e3dfa34efbaf1dba76d7989907ecCAS |
Scott JM, Gaden CA, Edwards C, Paull DR, Marchant R, Hoad J, Sutherland H, Coventry T, Dutton P (2013) Selection of experimental treatments, methods used and evolution of management guidelines for comparing and measuring three grazed farmlet systems. Animal Production Science 53, 628–642.
| Selection of experimental treatments, methods used and evolution of management guidelines for comparing and measuring three grazed farmlet systems.Crossref | GoogleScholarGoogle Scholar |
Thomas G, Mathews G (1991) Comparison of two management systems of dairy farmlets based on conservation of either hay or silage. Australian Journal of Experimental Agriculture 31, 195–203.
| Comparison of two management systems of dairy farmlets based on conservation of either hay or silage.Crossref | GoogleScholarGoogle Scholar |
Thomson EF, Bahhady FA (1995) A model-farm approach to research on crop livestock integration. 1. Conceptual-framework and methods. Agricultural Systems 49, 1–16.
| A model-farm approach to research on crop livestock integration. 1. Conceptual-framework and methods.Crossref | GoogleScholarGoogle Scholar |
Tucker CJ, Sellers PJ (1986) Satellite remote sensing of primary production. International Journal of Remote Sensing 7, 1395–1416.
| Satellite remote sensing of primary production.Crossref | GoogleScholarGoogle Scholar |
Turner BW, Alcock DJ (2000) The dry sheep equivalent – redefining a ‘Standard’. Asian-Australasian Journal of Animal Sciences Supplement Vol. C, 21
Valentine S, Lewis P, Cowan RT, DeFaveri J (2009) The effects of high stocking rates on milk production from dryland and irrigated Mediterranean pastures. Animal Production Science 49, 100–111.
| The effects of high stocking rates on milk production from dryland and irrigated Mediterranean pastures.Crossref | GoogleScholarGoogle Scholar |
Williams B, Walker J, Anderson J (2006) Spatial variability of regolith leaching and salinity in relation to whole farm planning. Australian Journal of Experimental Agriculture 46, 1271–1277.
| Spatial variability of regolith leaching and salinity in relation to whole farm planning.Crossref | GoogleScholarGoogle Scholar |