Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Understanding Tasmanian dairy farmer adoption of pasture management practices: a Theory of Planned Behaviour approach

Alison Hall A C , Lydia Turner A and Sue Kilpatrick B
+ Author Affiliations
- Author Affiliations

A Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 3523, Burnie, Tas. 7320, Australia.

B Faculty of Education, University of Tasmania, Locked Bag 1307, Launceston, Tas. 7250, Australia.

C Corresponding author. Email: A.F.Hall@utas.edu.au

Animal Production Science 59(10) 1941-1950 https://doi.org/10.1071/AN18321
Submitted: 15 August 2018  Accepted: 28 January 2019   Published: 3 May 2019

Abstract

Improved pasture management and increased pasture utilisation are positively associated with dairy farm efficiency and profitability in Tasmania. Supporting dairy farmers in developing pasture management knowledge and skills has been a key priority for research, development and extension in the Tasmanian dairy industry. The role of extension has been to increase farmer awareness and knowledge of best practice pasture management and to facilitate farmer learning, focusing on training farmers to use pasture measurement tools. However, many farmers have never used a pasture measurement tool, only trialled/tested a tool, and/or do not implement recommended pasture management practices. This study aimed to identify and understand factors influencing pasture management decision-making and behaviour for different farmer subgroups. Qualitative data was obtained through semi-structured interviews with 30 Tasmanian dairy farmers. The Theory of Planned Behaviour was used to identify and explore key factors influencing pasture management behaviour. There was a negative effect of social influence on pasture measurement tool use by experienced farmers, with many perceiving tool use to be for less experienced, younger farmers. This negative influence limited their intention to measure pasture and engage in the learning process required to overcome perceived control factors and change practices. Perceived control factors limiting behaviour change included tool data inaccuracy and challenging calculations associated with applying measurement data on-farm. This study demonstrates how the Theory of Planned Behaviour can be used to identify and understand factors influencing adoption behaviour of Tasmanian dairy farmers and assist in developing recommendations for future extension and pasture management programs.

Additional keywords: decision-making, intention, pasture measurement, tools.


References

Ajzen I (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes 50, 179–211.
The theory of planned behavior.Crossref | GoogleScholarGoogle Scholar |

Ajzen I (2002) Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology 32, 665–683.
Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior.Crossref | GoogleScholarGoogle Scholar |

Ajzen I (2011) The theory of planned behaviour: reactions and reflections. Psychology & Health 26, 1113–1127.
The theory of planned behaviour: reactions and reflections.Crossref | GoogleScholarGoogle Scholar |

Alasuutari P (1995) ‘Researching culture: qualitative method and cultural studies.’ (Sage Publications Limited: London)

Arvola A, Vassallo M, Dean M, Lampila P, Saba A, Lähteenmäki L, Shepherd R (2008) Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour. Appetite 50, 443–454.
Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour.Crossref | GoogleScholarGoogle Scholar | 18036702PubMed |

Assael H (1988) ‘Consumer behavior and marketing action.’ (South Western College Publishing: Cincinnati, OH)

Bamberry G, Dunn T, Lamont A (1997) ‘Pilot study of the relationship between farmer education and good farm management.’ (Rural Industries Research Development Corporation: Canberra)

Barberia AM, Attree M, Todd C (2008) Understanding eating behaviours in Spanish women enrolled in a weight‐loss treatment. Journal of Clinical Nursing 17, 957–966.
Understanding eating behaviours in Spanish women enrolled in a weight‐loss treatment.Crossref | GoogleScholarGoogle Scholar | 18321293PubMed |

Barr N, Cary J (2000) Influencing improved natural resource management on farms. (Bureau of Rural Sciences: Canberra) Available at https://www.researchgate.net/publication/52006677_Influencing_Improved_Natural_Resource_Management_on_Farms_A_Guide_to_Understanding_Factors_Influencing_the_Adoption_of_Sustainable_Resource_Practices [Verified 31 October 2017]

Bazeley P, Jackson K (2013) ‘Qualitative data analysis with NVivo.’ (Sage Publications Limited: London)

Beedell J, Rehman T (1999) Explaining farmers’ conservation behaviour: why do farmers behave the way they do? Journal of Environmental Management 57, 165–176.
Explaining farmers’ conservation behaviour: why do farmers behave the way they do?Crossref | GoogleScholarGoogle Scholar |

Beukes P, McCarthy S, Wims C, Gregorini P, Romera A (2019) Regular estimates of herbage mass can improve profitability of pasture-based dairy systems. Animal Production Science 59, 359–367.
Regular estimates of herbage mass can improve profitability of pasture-based dairy systems.Crossref | GoogleScholarGoogle Scholar |

Black A (2000) Extension theory and practice: a review. Animal Production Science 40, 493–502.
Extension theory and practice: a review.Crossref | GoogleScholarGoogle Scholar |

Blackwell RD, Paul W, James FE (2006) ‘Attributes of attitudes in ‘consumer behavior’.’ (Thompson Press: New York)

Bond J, Kriesemer S, Emborg J, Chadha M (2009) Understanding farmers’ pesticide use in Jharkhand India. Extension Farming Systems Journal 5, 53–62.

Bränström R, Ullen H, Brandberg Y (2004) Attitudes, subjective norms and perception of behavioural control as predictors of sun-related behaviour in Swedish adults. Preventive Medicine 39, 992–999.
Attitudes, subjective norms and perception of behavioural control as predictors of sun-related behaviour in Swedish adults.Crossref | GoogleScholarGoogle Scholar | 15475034PubMed |

Burton RJ (2004) Reconceptualising the ‘behavioural approach’ in agricultural studies: a socio-psychological perspective. Journal of Rural Studies 20, 359–371.
Reconceptualising the ‘behavioural approach’ in agricultural studies: a socio-psychological perspective.Crossref | GoogleScholarGoogle Scholar |

Byerlee D (1987) From adaptive research to farmer recommendations and extension advice. Agricultural Administration and Extension 27, 231–244.
From adaptive research to farmer recommendations and extension advice.Crossref | GoogleScholarGoogle Scholar |

Chapman DF, Cullen BR, Johnson IR, Beca D (2009) Interannual variation in pasture growth rate in Australian and New Zealand dairy regions and its consequences for system management. Animal Production Science 49, 1071–1079.
Interannual variation in pasture growth rate in Australian and New Zealand dairy regions and its consequences for system management.Crossref | GoogleScholarGoogle Scholar |

Conner M, Smith N, McMillan B (2003) Examining normative pressure in the theory of planned behaviour: impact of gender and passengers on intentions to break the speed limit. Current Psychology (New Brunswick, N.J.) 22, 252–263.
Examining normative pressure in the theory of planned behaviour: impact of gender and passengers on intentions to break the speed limit.Crossref | GoogleScholarGoogle Scholar |

Craigie A (2013) Dairy pasture management in Tasmania. Honours thesis, University of Tasmania, Hobart, Tasmania, Australia.

Dairy Australia (2015) Dairy moving forward. Available at https://www.npirdef.org/content/29/bde44b01/Dairy-Moving-Forward-2015.pdf [Verified 16 January 2019]

Dillon P, Roche J, Shalloo L, Horan BJ (2005) Optimising financial return from grazing in temperate pastures. In ‘Proceedings of a satellite workshop of the XXth international grassland congress’, July 2005, Cork, Ireland. (Ed. J Murphy) pp. 131–147. (Wageningen Academic Publishers: Wageningen, The Netherlands)

Eastwood C, Kenny S (2009) Art or science? Heuristic versus data driven grazing management on dairy farms. Extension Farming Systems Journal 5, 95–102.

Fielding KS, Terry DJ, Masser BM, Bordia P, Hogg MA (2005) Explaining landholders’ decisions about riparian zone management: The role of behavioural, normative, and control beliefs. Journal of Environmental Management 77, 12–21.
Explaining landholders’ decisions about riparian zone management: The role of behavioural, normative, and control beliefs.Crossref | GoogleScholarGoogle Scholar | 15946787PubMed |

Fishbein M, Ajzen I (2011) ‘Predicting and changing behavior: the reasoned action approach.’ (Psychology Press: New York)

Flor RJ, Singleton G, Casimero M, Abidin Z, Razak N, Maat H, Leeuwis C (2016) Farmers, institutions and technology in agricultural change processes: outcomes from adaptive research on rice production in Sulawesi, Indonesia. International Journal of Agricultural Sustainability 14, 166–186.
Farmers, institutions and technology in agricultural change processes: outcomes from adaptive research on rice production in Sulawesi, Indonesia.Crossref | GoogleScholarGoogle Scholar |

French P, O’Brien B, Shalloo L (2015) Development and adoption of new technologies to increase the efficiency and sustainability of pasture-based systems. Animal Production Science 55, 931–935.
Development and adoption of new technologies to increase the efficiency and sustainability of pasture-based systems.Crossref | GoogleScholarGoogle Scholar |

Fujisaka S (1994) Learning from six reasons why farmers do not adopt innovations intended to improve sustainability of upland agriculture. Agricultural Systems 46, 409–425.
Learning from six reasons why farmers do not adopt innovations intended to improve sustainability of upland agriculture.Crossref | GoogleScholarGoogle Scholar |

Geraerts E, Bernstein DM, Merckelbach H, Linders C, Raymaekers L, Loftus EF (2008) Lasting false beliefs and their behavioral consequences. Psychological Science 19, 749–753.
Lasting false beliefs and their behavioral consequences.Crossref | GoogleScholarGoogle Scholar | 18816279PubMed |

Ghadim AKA, Pannell DJ (1999) A conceptual framework of adoption of an agricultural innovation. Agricultural Economics 21, 145–154.
A conceptual framework of adoption of an agricultural innovation.Crossref | GoogleScholarGoogle Scholar |

Gibson DV, Smilor RW (1991) Key variables in technology transfer: a field-study based empirical analysis. Journal of Engineering and Technology Management 8, 287–312.
Key variables in technology transfer: a field-study based empirical analysis.Crossref | GoogleScholarGoogle Scholar |

Gray DI (2001) The tactical management processes used by pastoral-based dairy farmers: a multiple-case study of experts. PhD thesis, Massey University, Palmerston North New Zealand.

Guerin L, Guerin T (1994) Constraints to the adoption of innovations in agricultural research and environmental management: a review. Animal Production Science 34, 549–571.
Constraints to the adoption of innovations in agricultural research and environmental management: a review.Crossref | GoogleScholarGoogle Scholar |

Hall A, Turner L, Irvine L, Kilpatrick S (2017) Pasture management and extension on Tasmanian dairy farms-who measures up? Rural Extension and Innovation Systems Journal 13, 32–40.

Howell WS (1982) ‘The empathic communicator.’ (Wadsworth Pub Co.: Belmont, CA)

Ingram J (2008) Agronomist–farmer knowledge encounters: an analysis of knowledge exchange in the context of best management practices in England. Agriculture and Human Values 25, 405–418.
Agronomist–farmer knowledge encounters: an analysis of knowledge exchange in the context of best management practices in England.Crossref | GoogleScholarGoogle Scholar |

Irvine L (2013) ‘Dairy Smart – profitable, resilient and sustainable dairy farmers who possess the skills and information to grow the Tasmanian dairy industry.’ (Tasmanian Institute of Agriculture, University of Tasmania: Burnie, Tas.)

Kaine G (2004) ‘Consumer behaviour as a theory of innovation adoption in agriculture.’ (AgResearch: Hamilton, New Zealand)

Kauppinen T, Vainio A, Valros A, Rita H, Vesala KM (2010) Improving animal welfare: qualitative and quantitative methodology in the study of farmers’ attitudes. Animal Welfare (South Mimms, England) 19, 523–536.

Kilpatrick S, Johns S (1999) ‘Managing farming: how farmers learn.’ (Rural Industries Research and Development Corporation: Launceston, Tas.)

Kilpatrick S, Johns S (2003) How farmers learn: different approaches to change. Journal of Agricultural Education and Extension 9, 151–164.
How farmers learn: different approaches to change.Crossref | GoogleScholarGoogle Scholar |

Klerkx L, Aarts N, Leeuwis C (2010) Adaptive management in agricultural innovation systems: the interactions between innovation networks and their environment. Agricultural Systems 103, 390–400.
Adaptive management in agricultural innovation systems: the interactions between innovation networks and their environment.Crossref | GoogleScholarGoogle Scholar |

Kor K, Mullan BA (2011) Sleep hygiene behaviours: an application of the theory of planned behaviour and the investigation of perceived autonomy support, past behaviour and response inhibition. Psychology & Health 26, 1208–1224.
Sleep hygiene behaviours: an application of the theory of planned behaviour and the investigation of perceived autonomy support, past behaviour and response inhibition.Crossref | GoogleScholarGoogle Scholar |

Kuehne G, Llewellyn R, Pannell DJ, Wilkinson R, Dolling P, Ouzman J, Ewing M (2017) Predicting farmer uptake of new agricultural practices: a tool for research, extension and policy. Agricultural Systems 156, 115–125.
Predicting farmer uptake of new agricultural practices: a tool for research, extension and policy.Crossref | GoogleScholarGoogle Scholar |

Lane N (2014) Pathways to successful farm businesses. Australian Dairy Farm Investment Forum. Available at http://dairyaustralia.intersearch.com.au/public/showdspaceattachment.php?item_id=3646&sequence_id=1[Verified 16 January 2019]

Lobb A, Mazzocchi M, Traill W (2007) Modelling risk perception and trust in food safety information within the theory of planned behaviour. Food Quality and Preference 18, 384–395.
Modelling risk perception and trust in food safety information within the theory of planned behaviour.Crossref | GoogleScholarGoogle Scholar |

Mann E (2006) 20/12 pasture business project final report. Department of Primary Industries and Water, Burnie, Tasmania, Australia.

Marsh SP, Pannell DJ, Lindner RK (1995) The adoption of lupins in Western Australia: did extension make a difference? In ‘39th annual conference of the Australian Agricultural Economics Society’, 14–16 February 1995, University of Western Australia, Perth, Western Australia.

O’Donovan M, Connolly I, Dillon P, Rath M, Stakelum G (2002) Visual assessment of herbage mass. Irish Journal of Agricultural and Food Research 41, 201–211.

Öhlmér B, Olson K, Brehmer B (1998) Understanding farmers’ decision making processes and improving managerial assistance. Agricultural Economics 18, 273–290.
Understanding farmers’ decision making processes and improving managerial assistance.Crossref | GoogleScholarGoogle Scholar |

Pannell DJ, Marshall GR, Barr N, Curtis A, Vanclay F, Wilkinson R (2006) Understanding and promoting adoption of conservation practices by rural landholders. Australian Journal of Experimental Agriculture 46, 1407–1424.
Understanding and promoting adoption of conservation practices by rural landholders.Crossref | GoogleScholarGoogle Scholar |

Rawnsley RP, Chapman DF, Jacobs JL, Garcia SC, Callow MN, Edwards GR, Pembleton KP (2012) Complementary forages – integration at a whole-farm level. In ‘Proceedings of the 5th Australasian dairy science symposium’, 13–15 November 2012, Melbourne, Australia. (Ed. J Jacobs) pp. 314–329. (Australasian Dairy Science Symposium: Tallygroopna, Vic.)

Renzi S, Klobas J (2008) Using the theory of planned behavior with qualitative research. Dondena working paper 12. Available at http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.668.4401&rep=rep1&type=pdf [Verified 8 May 2017]

Rogers EM (2003) ‘Diffusion of innovations.’ (Free Press: New York)

Scrivner JH, Center DM, Jones MB (1986) A rising plate meter for estimating production and utilization. Journal of Range Management 39, 475–477.
A rising plate meter for estimating production and utilization.Crossref | GoogleScholarGoogle Scholar |

Sewell AM, Gray DI, Blair HT, Kemp PD, Kenyon PR, Morris ST, Wood BA (2014) Hatching new ideas about herb pastures: learning together in a community of New Zealand farmers and agricultural scientists. Agricultural Systems 125, 63–73.
Hatching new ideas about herb pastures: learning together in a community of New Zealand farmers and agricultural scientists.Crossref | GoogleScholarGoogle Scholar |

Stockdale C (1984) Evaluation of techniques for estimating the yield of irrigated pastures intensively grazed by dairy cows. 2. The rising plate meter. Australian Journal of Experimental Agriculture 24, 305–311.
Evaluation of techniques for estimating the yield of irrigated pastures intensively grazed by dairy cows. 2. The rising plate meter.Crossref | GoogleScholarGoogle Scholar |

Tasmanian Institute of Agriculture (2017) ‘Tasmanian Dairy Business of the Year Awards.’ (University of Tasmania: Burnie, Tas.)

Thomson K-L, von Solms R, Louw L (2006) Cultivating an organizational information security culture. Computer Fraud & Security 2006, 7–11.
Cultivating an organizational information security culture.Crossref | GoogleScholarGoogle Scholar |

Trumbo W, Garrett J, O’Keefe C (2001) Intention to conserve water: environmental values, planned behavior, and information effects. A comparison of three communities sharing a watershed. Society & Natural Resources 14, 889–899.
Intention to conserve water: environmental values, planned behavior, and information effects. A comparison of three communities sharing a watershed.Crossref | GoogleScholarGoogle Scholar |

Turner L, Irvine L (2017) Tasmanian dairy farmers and the pasture management process: case study findings on the role of coaching in achieving practice change. Rural Extension & Innovations Systems Journal 13, 31–40.

Vanclay F, Lawrence G (1994) Farmer rationality and the adoption of environmentally sound practices; a critique of the assumptions of traditional agricultural extension. European Journal of Agricultural Education and Extension 1, 59–90.
Farmer rationality and the adoption of environmentally sound practices; a critique of the assumptions of traditional agricultural extension.Crossref | GoogleScholarGoogle Scholar |

Wauters E, Mathijs E (2010) A behavioural model for the adoption of soil conservation practices. Institute for Agricultural and Fisheries Research, Social Science Unit, Merelbeke, Belgium. Available at https://tucson.ars.ag.gov/ [Verified 15 November 2016]

Wilkinson R (2011) The many meanings of adoption. In ‘Changing land management: adoption of new practices by rural landholders’. (Eds D Pannell, F Vanclay) pp. 39–49. (CSIRO Publishing: Melbourne)

Yu X (2014) Risk Attitudes, Social Interactions and the Adoption of Genotyping in Dairy Production. Masters thesis, University of Guelph, Canada.