南澳大利亚苜蓿(Medicago sativa)牧场大麦草(Hordeum spp.)种群动态模拟及杂草管理策略的影响

IF 1.8 4区 农林科学 Q2 AGRICULTURE, MULTIDISCIPLINARY Crop & Pasture Science Pub Date : 2023-02-28 DOI:10.1071/CP22297
Jane E. Kelly, K. Behrendt, J. Quinn
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引用次数: 0

摘要

抽象的上下文。大麦草(Hordeum spp. L.)是南澳大利亚作物和牧场的一年生入侵杂草,由于其尖锐的种子,经常与羊的体重减轻和胴体损伤有关。在有效控制以减少对动物生产影响的最佳密度阈值方面存在知识空白。综合杂草管理(IWM)在减少牧场大麦草种群方面的价值也不清楚。目标我们的目的是建立一个模型来模拟大麦草在南澳大利亚苜蓿(Medicago sativa L.)牧场的种群动态,并验证除草剂与割草相结合在去除大麦草种子库方面比单个控制措施更有效的假设。方法。该模型是在Microsoft Excel中开发的,并改编自其他一年生草模型。该模型采用蒙特卡罗方法,使用5个杂草控制密度阈值来模拟10年来对杂草种子库的控制影响。使用最近的实验数据和现有文献对其进行了参数化。关键的结果。大麦草长期防治策略以5苗m−2为密度阈值,采用早、晚除草剂联合除草、早、晚除草剂联合除草,可分别减少种子库86%和89%。结论。模拟结果表明,在10年内,综合管理方案比单独控制方案在减少大麦草种子库方面更有效,特别是在低杂草密度(≤50株m−2)时。的影响。将该模型纳入生物经济放牧系统模型将有助于确定经济影响和最佳杂草控制策略,以最大限度地减少大麦草籽污染对羊肉生产系统的影响。
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Simulating the population dynamics of barley grass (Hordeum spp.) and impacts of weed management strategies in a southern Australian lucerne (Medicago sativa) pasture
ABSTRACT Context. Barley grass (Hordeum spp. L.) is an annual, invasive grass weed of southern Australian crops and pastures, frequently associated with weight loss and carcass damage in sheep due to its sharp seeds. Knowledge gaps exist regarding optimal density thresholds for effective control to reduce impacts on animal production. The value of integrated weed management (IWM) over individual control options for reducing barley grass populations in pasture is also unknown. Aims. We aimed to develop a model for simulating the population dynamics of barley grass within lucerne (Medicago sativa L.) pastures of southern Australia and to test the hypothesis that combining herbicides with mowing will be more effective for removing barley grass seedbanks over time than individual control measures. Methods. The model was developed within Microsoft Excel and adapted from other annual grass models. The model takes a Monte Carlo approach to simulate control impacts on weed seedbanks over 10 years using five weed-control density thresholds. It was parameterised using data from recent experiments and available literature. Key results. The most effective long-term control strategy for barley grass occurred with a density threshold of 5 seedlings m−2 by combining early and late herbicide applications, and by combining early and late herbicides with mowing, reducing the seedbank by 86% and 89%, respectively. Conclusions. Simulation results showed that IWM programs were more effective than individual control options in reducing the barley grass seedbanks over 10 years, particularly at low weed densities (≤50 seedlings m−2). Implications. Incorporation of this model into a bioeconomic grazing systems model will be valuable for determining the economic impacts and optimal weed-control strategies for minimising the effects of barley grass seed contamination in lamb production systems.
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来源期刊
Crop & Pasture Science
Crop & Pasture Science AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
4.20
自引率
15.80%
发文量
111
审稿时长
3 months
期刊介绍: Crop and Pasture Science (formerly known as Australian Journal of Agricultural Research) is an international journal publishing outcomes of strategic research in crop and pasture sciences and the sustainability of farming systems. The primary focus is broad-scale cereals, grain legumes, oilseeds and pastures. Articles are encouraged that advance understanding in plant-based agricultural systems through the use of well-defined and original aims designed to test a hypothesis, innovative and rigorous experimental design, and strong interpretation. The journal embraces experimental approaches from molecular level to whole systems, and the research must present novel findings and progress the science of agriculture. Crop and Pasture Science is read by agricultural scientists and plant biologists, industry, administrators, policy-makers, and others with an interest in the challenges and opportunities facing world agricultural production. Crop and Pasture Science is published with the endorsement of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Australian Academy of Science.
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