首页> 外文期刊>Animal Production Science >Sacrificial grazing of wheat crops: identifying tactics and opportunities in Western Australia's grainbelt using simulation approaches. (Special Issue: Grain & Graze: an innovative triple bottom line approach to collaborative and multidisciplinarymixed-farming systems research, development and extension.)
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Sacrificial grazing of wheat crops: identifying tactics and opportunities in Western Australia's grainbelt using simulation approaches. (Special Issue: Grain & Graze: an innovative triple bottom line approach to collaborative and multidisciplinarymixed-farming systems research, development and extension.)

机译:小麦作物的牺牲性放牧:使用模拟方法确定西澳大利亚州粮食带的策略和机会。 (特刊:“谷物与放牧”:一种创新的三重底线方法,用于协作和多学科混合农业系统的研究,开发和扩展。)

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Failing grain crops are sometimes sacrificed for grazing by mixed farmers, a decision involving a complex range of factors. This simulation study used two APSIM (Agricultural Production Systems Simulator)-based approaches to investigate the circumstances under which more revenue might be obtained by sacrificing a wheat crop for grazing rather than harvesting it for grain in Western Australia's grainbelt. First, we developed a simple partial budget calculation to estimate and compare revenue from grain or grazing alternatives using data for grain yield and standing biomass at flowering. This was simulated for a factorial of soil types and locations varying in mean annual rainfall. We then simulated wheat quality and livestock production on spring wheat grazed at different stages of crop development and at a range of stocking rates. Dynamic simulations of grazing showed that livestock production increased as grazing was delayed; stocking rate had little impact at this time. Grazing earlier necessitated lighter stocking rates but surprisingly had little benefit for animal performance. Partial budgets showed that under average commodity prices, grazing a wheat crop could be more profitable 40-75% of the time on poorer soil types in lower rainfall environments. In these situations, by tactically grazing when grain yield is below a critical level economic returns could be increased by more than A$50/ha in 30-40% of years and over the long term average revenues could be increased by A$30/ha.year. This critical grain yield ranged from 1.3 to 1.7 t/ha on shallow gravel soil and 1.9 to 2.2 t/ha on a deep sand. In higher rainfall environments and on better soil types grazing was rarely a better option unless livestock prices were high relative to grain. This approach, combining crop simulation with partial budgets, was useful for developing simple management rules for a complex system. Overall, the findings of this study suggest that making tactical use of a wheat crop for forage in situations with low grain yield prospects is a major opportunity to increase profitability and help respond to climate variability in mixed farms in many areas of the Western Australian wheatbelt.
机译:有时,杂粮农民会牺牲掉收成不好的谷物作物,这一决定涉及多种因素。这项模拟研究使用了两种基于APSIM(农业生产系统模拟器)的方法来研究在何种情况下可以通过牺牲小麦作物来放牧而不是在西澳大利亚州的粮食带中收获谷物来获得更多收入。首先,我们开发了一个简单的局部预算计算方法,使用谷物产量和开花时的固定生物量数据估算和比较谷物或放牧替代品的收入。这是针对年平均降雨量变化的土壤类型和位置的阶乘而模拟的。然后,我们模拟了在作物生长的不同阶段和不同放养率下放牧的春小麦的小麦品质和牲畜产量。放牧的动态模拟表明,放牧延迟会导致牲畜生产增加。此时的库存率影响不大。放牧需要较早的放牧率,但令人惊讶的是对动物的生长几乎没有好处。部分预算显示,在大宗商品平均价格下,放牧小麦作物在较低降雨环境下土壤类型较差的情况下,可在40-75%的时间内获得更多收益。在这种情况下,通过在谷物单产低于临界水平时进行策略性放牧,可以在30-40%的年内使经济回报增加50澳元/公顷以上,并且从长期来看,平均收入可以增加30澳元/公顷。年。临界砾石产量在浅砾石土上为1.3至1.7吨/公顷,在深砂土上为1.9至2.2吨/公顷。在较高的降雨环境和更好的土壤类型下,放牧很少是更好的选择,除非牲畜的价格相对于谷物而言很高。这种方法将作物模拟与部分预算结合起来,对于为复杂系统开发简单管理规则很有用。总体而言,这项研究的结果表明,在谷物单产前景不佳的情况下,以战术方式使用小麦作物进行饲草是增加盈利能力并帮助应对西澳大利亚州小麦带许多地区混合农场气候变化的主要机会。

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