Livestock record-keeping training through extension services for improving breeding and production management

Introduction

Good records make good farmers. That simple principle, repeated in livestock extension manuals for decades, still struggles to gain traction among small-scale producers. Across Australia's beef and sheep sectors, producers managing fewer than 500 head consistently lag behind larger operations in systematic data collection on breeding, health, and production metrics [1] . Why does this gap persist? Smaller producers often cite time constraints, perceived complexity of record systems, and unclear return on investment as barriers to adoption [2] . Yet evidence from North American and European livestock industries shows that even basic record-keeping correlates with improved breeding efficiency, earlier disease detection, and better marketing outcomes [3] . In Queensland, where beef cattle represent the state's largest agricultural commodity, extension services have periodically offered record-keeping workshops. But these have typically been one-off events with limited follow-up [4] . Recent work in New Zealand demonstrated that combining initial training with ongoing mentorship raised recordkeeping adoption rates by 54% compared to workshops alone [5] . This staged approach aligns with adult learning theory, which emphasizes practice, feedback, and reinforcement over single-exposure instruction [6] . The current research examined whether a structured, multi-tiered extension training program improved record-keeping adoption and production management among Queensland livestock producers. The objectives were to compare recordkeeping practices across different training intensities, assess the relationship between adoption and production performance, and identify factors influencing sustained record-keeping behaviour.

Material and Methods

Material

A quasi-experimental design was used with 183 livestock producers in southeast Queensland, recruited through regional extension networks. Participants were categorized into four groups based on training exposure: no training (n = 45), basic workshop attendance (n = 52), intensive program completion (n = 48), and advanced training with mentoring (n = 38). The research was conducted between April 2023 and January 2024 at the School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia. Data were collected through farm visits, structured questionnaires, and review of producer record systems. Ethics clearance was obtained from the University of Queensland Human Research Ethics Committee (Protocol UQ-HREC/2023/089, March 2023) [7] .

Methods

Record-keeping adoption was measured through a 20-item checklist covering breeding records, health treatments, production outputs, financial transactions, and feed management. Each item was scored on a 0-5 scale, yielding www.extensionjournal.com a maximum score of 100 converted to percentage. A composite production performance index was calculated from breeding efficiency, weight gain rates, and mortality data over the research period. One-way ANOVA compared group means, while Pearson's correlation assessed the record-production relationship. Multiple regression identified factors predicting sustained adoption [8] .

Ethical Considerations: All participants provided written informed consent. Farm-level production data were treated as commercially sensitive and stored on encrypted university servers. Individual results were not disclosed to third parties. Participants could opt out at any stage without affecting their access to extension services.

Results

Discussion

These findings confirm that structured extension training can substantially improve livestock record-keeping among small-scale producers. The stepwise improvement across training levels mirrors what Marshall and colleagues [5] reported in New Zealand, where mentored producers outperformed those receiving workshops alone. The strong role of mentoring (β = 0.28) suggests that sustained personal guidance helps bridge the gap between knowing what to record and actually doing it consistently [9] . The correlation between record-keeping and production performance (r = 0.72) is notable. Producers with better records identified 41.7% more breeding inefficiencies, likely because written data allowed them to spot patterns invisible to memory alone. This aligns with Rowe and colleagues' [10] argument that information-based management becomes increasingly valuable as herd complexity grows. The negative association with producer age reflects known patterns in technology adoption research [11] . Older producers may find established routines harder to change, though the effect was modest. Digital literacy emerged as an unexpected predictor, suggesting that comfort with technology facilitates adoption of even paper-based record systems by reducing perceived complexity [12] .

Limitations

Self-selection into training programs may introduce bias, as more motivated producers likely sought out intensive options. The ten-month timeframe captures initial adoption but not long-term persistence. Results from southeast Queensland may not transfer to extensive rangeland operations in northern regions with different management constraints.

Conclusions

References

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