Pasture and the theory of diversification
C. D. Lewis A D , C. K. M. Ho B , B. R. Cullen C and B. Malcolm B CA Department of Economic Development, Jobs, Transport and Resources, 1301 Hazeldean Road, Ellinbank, Vic. 3821, Australia.
B Department of Economic Development, Jobs, Transport and Resources, 32 Lincoln Square North, Carlton, Vic. 3053, Australia.
C Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Vic. 3010, Australia.
D Corresponding author. Email: claire.lewis@ecodev.vic.gov.au
Animal Production Science 57(7) 1210-1218 https://doi.org/10.1071/AN16482
Submitted: 22 July 2016 Accepted: 26 October 2016 Published: 23 December 2016
Abstract
Diversifying farm activities can reduce the business risk of agricultural production. The aim of the present study was to investigate the effect of diversifying the types of dairy pastures sown on (1) the average seasonal growth rate (kg DM/ha/day) of pasture and (2) the variability of seasonal growth rate of pasture over time by diversifying the types of pastures grown on a dairy farm. This approach is similar to the approach used to assess the diversification of annual cropping activities, although repeated harvest of pasture by grazing animals and the seasonality of pasture DM production complicates the question. The question investigated was ‘How does substituting chicory (Cichorium intybus L.) or tall fescue (Festuca arundinaceae Schreb.) monocultures for a perennial ryegrass (Lolium perenne L.)–white clover (Trifolium repens L.) pasture in increasing proportions affect (1) the average growth rate (kg DM/ha.day) of pasture and (2) the variability of growth rate of pasture in each season?’. The biophysical model DairyMod was used to simulate 30 years growth of a mixed sward of perennial ryegrass and white clover and monocultures of chicory and tall fescue for two rain-fed locations in the high-rainfall zone of southern Australia. Including chicory in the pasture base had the potential to increase pasture growth rate during the summer–early autumn period compared with growing perennial ryegrass–white clover alone. This increase in pasture growth rate increased variability, and reduced growth rates in late autumn–winter and spring. The simulated growth rates of tall fescue and perennial ryegrass were strongly correlated in all seasons; hence, tall fescue did not reduce the variability of total DM. Further analysis would include price correlations and variability and consider the whole-farm implications. The analysis presented here for the high-rainfall zone showed that introducing alternative forages may have benefits in terms of increasing pasture growth rates at critical times of the production year, but the variability of the growth rate was not reduced.
Additional keywords: chicory, tall fescue, yield risk.
References
Barkley A, Peterson H, Shroyer J (2010) Wheat variety selection to maximize returns and minimize risk: an application of portfolio theory. Journal of Agricultural and Applied Economics 42, 39–55.| Wheat variety selection to maximize returns and minimize risk: an application of portfolio theory.Crossref | GoogleScholarGoogle Scholar |
Browne N, Kingwell R, Behrendt R, Eckard R (2013) The relative profitability of dairy, sheep, beef and grain farm enterprises in southeast Australia under selected rainfall and price scenarios. Agricultural Systems 117, 35–44.
| The relative profitability of dairy, sheep, beef and grain farm enterprises in southeast Australia under selected rainfall and price scenarios.Crossref | GoogleScholarGoogle Scholar |
Chapman DF, Kenny SN, Beca D, Johnson IR (2008) Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 2. Inter-annual variation in forage supply, and business risk. Agricultural Systems 97, 126–138.
| Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 2. Inter-annual variation in forage supply, and business risk.Crossref | GoogleScholarGoogle Scholar |
Chapman DF, Cullen BR, Johnson IR, Beca D (2009) Interannual variation in pasture growth rate in Australian and New Zealnd dairy regions and its consequences for system management. Animal Production Science 49, 1071–1079.
| Interannual variation in pasture growth rate in Australian and New Zealnd dairy regions and its consequences for system management.Crossref | GoogleScholarGoogle Scholar |
Chapman DF, Kenny SN, Lane N (2011) ‘Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 3. Estimated economic value of additional home-grown feed. Agricultural Systems 104, 589–599.
| ‘Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 3. Estimated economic value of additional home-grown feed.Crossref | GoogleScholarGoogle Scholar |
Chapman DF, Dassanayake K, Hill JO, Cullen BR, Lane N (2012) Forage-based dairying in a water-limited future: use of models to investigate farming system adaptation in southern Australia. Journal of Dairy Science 95, 4153–4175.
| Forage-based dairying in a water-limited future: use of models to investigate farming system adaptation in southern Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XoslKitLk%3D&md5=c6565052eb63a66e0d3083c19b4d5762CAS |
Chapman DF, Beca D, Hill J, Tharmaraj J, Jacobs JL, Cullen BR (2014) Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 4. Economic performance. Animal Production Science 54, 256–262.
| Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 4. Economic performance.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXitVynsrs%3D&md5=d2026d5bd90266089c3f8e37dcb0eca1CAS |
Chatfield C (2004) ‘The analysis of time series, an introduction.’ (Chapman & Hall/CRC: New York)
Clark SG, Ward GN, Kearney GA, Lawson AR, McCaskill MR, O’Brien BJ, Raeside MC, Behrendt R (2013) Can summer-active perennial species improve pasture nutritive value and sward stability? Crop & Pasture Science 64, 600–614.
| Can summer-active perennial species improve pasture nutritive value and sward stability?Crossref | GoogleScholarGoogle Scholar |
Cullen BR, Rawnsley RP, Eckard RJ, Christie KM, Bell MJ (2014) Use of modelling to identify perennial ryegrass plant traits for future warmer and drier climates. Crop & Pasture Science 65, 758–766.
| Use of modelling to identify perennial ryegrass plant traits for future warmer and drier climates.Crossref | GoogleScholarGoogle Scholar |
Fisher J, Tozer P, Abrecht D (2012) Livestock in no-till cropping systems: a story of trade-offs. Animal Production Science 52, 197–214.
| Livestock in no-till cropping systems: a story of trade-offs.Crossref | GoogleScholarGoogle Scholar |
Hardaker J, Huirne R, Anderson J, Lien G (2004) ‘Coping with risk in agriculture.’ (CABI: Wallingford, UK)
Heady E (1952a) ‘Economics of agricultural production and resource use.’ (Prentice-Hall Inc.: Englewood Cliffs, NJ)
Heady E (1952b) Diversification in resource allocation and minimization of income variability. Journal of Farm Economics 34, 482–496.
| Diversification in resource allocation and minimization of income variability.Crossref | GoogleScholarGoogle Scholar |
Ho CKM, Newman M, Dalley DE, Little S, Wales WJ (2013) Performance, return and risk of different dairy systems in Australia and New Zealand. Animal Production Science 53, 894–906.
Ho CKM, Malcolm B, Doyle PT (2015) Supplementary feeding options to alleviate the impacts of decreased water availability on dairy-farm economic performance in northern Victoria. Animal Production Science 55, 194–200.
| Supplementary feeding options to alleviate the impacts of decreased water availability on dairy-farm economic performance in northern Victoria.Crossref | GoogleScholarGoogle Scholar |
Jacobs JL (2014) Challenges in ration formulation in pasture-based milk production systems. Animal Production Science 54, 1130–1140.
Johnson IR (2013) ‘DairyMod and the SGS pasture model: a mathematical description of the biophysical model structure.’ (IMJ Consultants: Dorrigo, NSW)
Johnson IR, Chapman DF, Snow VO, Eckard RJ, Parsons AJ, Lambert MG, Cullen BR (2008) DairyMod and EcoMod: biophysical pasture-simulation models for Australia and New Zealand. Australian Journal of Experimental Agriculture 48, 621–631.
| DairyMod and EcoMod: biophysical pasture-simulation models for Australia and New Zealand.Crossref | GoogleScholarGoogle Scholar |
Kandulu JM, Bryan BA, King D, Connor JD (2012) Mitigating economic risk from climate variability in rain-fed agriculture through enterprise mix diversification. Ecological Economics 79, 105–112.
| Mitigating economic risk from climate variability in rain-fed agriculture through enterprise mix diversification.Crossref | GoogleScholarGoogle Scholar |
Kingwell RS (1994) Risk attitude and dryland farm management. Agricultural Systems 45, 191–202.
| Risk attitude and dryland farm management.Crossref | GoogleScholarGoogle Scholar |
Lee JM, Hemmingson NR, Minnee EMK, Clark CEF (2015) Management strategies for chicory (Cichorium intybus) and plantain (Plantago lanceolata): impact on dry matter yield, nutritive characteristics and plant density. Crop & Pasture Science 66, 168–183.
| Management strategies for chicory (Cichorium intybus) and plantain (Plantago lanceolata): impact on dry matter yield, nutritive characteristics and plant density.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXksVSlsbg%3D&md5=a61019024453178542317089eab5980eCAS |
Lewis C, Malcolm B, Farquharson RJ, Leury BJ, Behrendt R, Clark S (2012) Economic analysis of improved perennial pasture systems. Australian Farm Business Management Journal 9, 37–46.
Li G, Kemp PD (2005) Forage chicory (Cichorium intybus L.): a review of its agronomy and animal production. Advances in Agronomy 88, 187–222.
| Forage chicory (Cichorium intybus L.): a review of its agronomy and animal production.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXitlKisr0%3D&md5=24346d16946e6f4ef525b9f30dd60f26CAS |
Malcolm B, Makeham J, Wright V (2005) ‘The farming game: agricultural management and marketing.’ (Cambridge University Press: Sydney)
Malcolm B, Ho CKM, Armstrong DP, Doyle PT, Tarrant KA, Heard JW, Leddin CM, Wales WJ (2012) Dairy directions: a decade of whole farm analysis of dairy systems. Australian Agribusiness Review 20, 39–57.
Malcolm B, Smith KF, Jacobs JL (2014) Perennial pasture persistence: the economic perspective. Crop & Pasture Science 65, 713–720.
| Perennial pasture persistence: the economic perspective.Crossref | GoogleScholarGoogle Scholar |
Muir SK, Ward GN, Jacobs JL (2014) Milk production and composition of mid-lactation cows consuming perennial ryegrass-and chicory-based diets. Journal of Dairy Science 97, 1005–1015.
| Milk production and composition of mid-lactation cows consuming perennial ryegrass-and chicory-based diets.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhvV2gur3I&md5=0494b18a045c8e80e83df9d75d391dddCAS |
Nie ZN, Chapman DF, Tharmaraj J, Clements R (2004) Effects of pasture species mixture, management, and environment on the productivity and persistence of dairy pastures in south-west Victoria. 1. Herbage accumulation and seasonal growth pattern. Australian Journal of Agricultural Research 55, 625–636.
| Effects of pasture species mixture, management, and environment on the productivity and persistence of dairy pastures in south-west Victoria. 1. Herbage accumulation and seasonal growth pattern.Crossref | GoogleScholarGoogle Scholar |
Pembleton K (2015) Plantain and chicory could potentially complement the perennial ryegrass dominant dairy feedbase. In ‘The proceedings of the 17th Agronomy Society of Australia conference’, Hobart, Australia. (Eds T Acuña, M Harrison, C Moeller, D Parsons) (Australian Society of Agronomy Inc.)
Pembleton KG, Tozer KN, Edwards GR, Jacobs JL, Turner LR (2015) Simple versus diverse pastures: opportunities and challenges in dairy systems. Animal Production Science 55, 893–901.
| Simple versus diverse pastures: opportunities and challenges in dairy systems.Crossref | GoogleScholarGoogle Scholar |
Raeside M, Friend M, Behrendt R, Lawson A, Clark S (2012) A review of summer-active tall fescue use and management in Australia’s high-rainfall zone. New Zealand Journal of Agricultural Research 55, 393–411.
| A review of summer-active tall fescue use and management in Australia’s high-rainfall zone.Crossref | GoogleScholarGoogle Scholar |
Rawnsley RP, Chapman DF, Jacobs JL, Garcia SC, Callow MN, Edwards GR, Pembleton KP (2013) Complementary forages-integration at a whole-farm level. Animal Production Science 53, 976–987.
Tharmaraj J, Chapman DF, Nie ZN, Lane AP (2008) Herbage accumulation, botanical composition, and nutritive value of five pasture types for dairy production in southern Australia. Australian Journal of Agricultural Research 59, 127–138.
| Herbage accumulation, botanical composition, and nutritive value of five pasture types for dairy production in southern Australia.Crossref | GoogleScholarGoogle Scholar |
Tharmaraj J, Chapman DF, Hill J, Jacobs JL, Cullen BR (2014) Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 2. Forage harvested. Animal Production Science 54, 234–246.
| Increasing home-grown forage consumption and profit in non-irrigated dairy systems. 2. Forage harvested.Crossref | GoogleScholarGoogle Scholar |
Ward G, Clark S, Kearney G, McCaskill M, Raeside M, Lawson A, Behrendt R (2013) Summer-active perennials in pasture systems improve seasonal pasture distribution without compromising winter–spring production. Crop & Pasture Science 64, 673–686.
| Summer-active perennials in pasture systems improve seasonal pasture distribution without compromising winter–spring production.Crossref | GoogleScholarGoogle Scholar |
Wolfe E (2009) ‘Country pasture/forage resource profiles: Australia.’ (Food and Agriculture Organization of the United Nations: Rome)