Heavy steers and heifers run at low stocking rates enhance drought resilience in a pastoral region of Australia

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-05-08 DOI:10.1016/j.agsy.2024.103993
C. d'Abbadie , R. Kingwell , P. Vercoe , B. Plunkett , A. Peggs
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Abstract

CONTEXT

The semi-arid mulga lands of the Southern Rangelands of Western Australia experience frequent droughts. Maintaining a profitable animal grazing enterprise whilst preserving rangeland condition requires selecting an appropriate stocking rate and herd structure.

OBJECTIVE

We construct and apply bioeconomic models of beef enterprises for the semi-arid Southern Rangelands of Western Australia, to assess the profitability and relative riskiness of three different livestock production systems and three different stocking rates when exposed to different frequencies of drought.

METHODS

We construct bio-economic models of herd structures that separately focus on producing either: (i) 200 kg heifers and 210 kg steers (ii) live export of 340 kg heifers and 380 kg steers, or (iii) 500 kg heifers and 560 kg steers for local slaughter. The models are applied to assess the financial and production resilience of each herd structure for three different stocking rates, given the incidence of drought and various price scenarios.

RESULTS AND CONCLUSIONS

Comparing the three herd structures, option (iii) produces more kilograms of beef at an equivalent grazing pressure and recovers fastest from drought. Considering cattle prices over the 7-year period ending in 2021, live export and slaughter production systems generate comparable financial returns to graziers' actual reported results. Under two different scenarios of future prices, option (iii) provides the most profitable outcome. Applying a stocking rate that is 66% of a recommended stocking rate allows use of residual rangeland feed (known as ‘haystack’) during drought, generates greater profit, and produces a more stable herd size and income. Not matching the haystack with the longest modelled drought reduces the grazier's average annual profit by $172,000. The optimum herd structure identified in this study targets the production of 500 kg heifers and 560 kgs steers for local slaughter, and relies on a conservative stocking rate that leaves enough haystack to increase resilience if ever consecutive droughts occur.

SIGNIFICANCE

In the Southern Rangelands of Western Australia, there are financial and environmental merits in a herd structure that produces heavy steers and heifers for local slaughter yet is underpinned by conservative stocking rates.

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在澳大利亚的一个牧区,以低饲养率饲养的重型阉牛和小母牛提高了抗旱能力
背景西澳大利亚南部牧场的半干旱穆尔加土地经常遭受干旱。我们构建并应用了西澳大利亚南部半干旱牧场牛肉企业的生物经济模型,以评估三种不同畜牧生产系统和三种不同放养率在不同干旱频率下的盈利能力和相对风险性。方法 我们构建了畜群结构的生物经济模型,分别侧重于生产:(i) 200 千克的小母牛和 210 千克的小公牛;(ii) 340 千克的小母牛和 380 千克的小公牛的活畜出口;或 (iii) 500 千克的小母牛和 560 千克的小公牛供当地屠宰。结果与结论比较三种牛群结构,方案(iii)在同等放牧压力下生产的牛肉公斤数更多,从干旱中恢复的速度最快。考虑到截至 2021 年的 7 年期间的牛价,活牛出口和屠宰生产系统产生的经济回报与放牧者实际报告的结果相当。在两种不同的未来价格情景下,方案(iii)提供了最有利可图的结果。采用建议放养率的 66% 的放养率,可以在干旱期间利用牧场剩余饲料(即 "干草堆"),创造更大的利润,并产生更稳定的牛群规模和收入。在模拟的最长干旱期间不使用干草堆,放牧人的年平均利润就会减少 17.2 万美元。本研究确定的最佳牛群结构以生产 500 千克的小母牛和 560 千克的本地屠宰用阉牛为目标,并依赖于保守的放养率,以便在发生连续干旱时留下足够的干草堆来提高抗旱能力。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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