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A wheat grazing model for simulating grain and beef production: Part I - Model development

机译:模拟谷物和牛肉产量的小麦放牧模型:第一部分-模型开发

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It is a common practice to grow winter wheat (Triticum aestivum L.) as a dual-purpose crop in the U.S. Southern Great Plains to decrease production risk and to increase profit margin through cattle (Bos taurus) production. Crop management of the dual-purpose wheat is complex because of the tradeoffs between beef production and wheat grain yield. A wheat grazing model helps in making optimal decision. The objective of this study was to develop and incorporate a grazing and metabolizable energy-based cattle growth module into the Decision Support Systems for Agrotechnology Transfer (DSSAT) to simulate beef and wheat grain production. The wheat grazing model was comprised of wheat growth, wheat-cattle interaction, and cattle growth components. Wheat growth was simulated by the cropping system model (CSM) of DSSAT. For the wheat-cattle interface, removals of canopy biomass and leaf area by grazing were estimated daily. Predicted grain yield was also reduced by 50 kg ha(-1) per day for each day of grazing past the first hollow stem stage. Cattle growth rate was based on a metabolizable energy intake. Maximum voluntary daily intake was estimated based on stocker body weight and forage quality, and is further adjusted for actual forage availability, temperature, and adaptation status during the first 14 day of grazing to estimate the actual daily intake. Changes in wheat growth processes brought about by grazing, including a grazing effect on the delay of plant phenological development, are not simulated in the model. Field experiments to characterize any such effects are needed to help fine-tune the model.
机译:在美国南部大平原地区,将冬小麦(Triticum aestivum L.)用作两用作物是一种常见的做法,以降低生产风险并通过牛(Bos taurus)生产来增加利润率。由于牛肉产量与小麦籽粒产量之间的折衷,双重用途小麦的作物管理非常复杂。小麦放牧模型有助于做出最佳决策。这项研究的目的是开发一种基于放牧和可代谢能量的牛生长模块,并将其纳入农业技术转让决策支持系统(DSSAT)中,以模拟牛肉和小麦的谷物生产。小麦放牧模型由小麦生长,小麦牛相互作用和牛生长组成。通过DSSAT的种植系统模型(CSM)模拟了小麦的生长。对于小麦-牛界面,每天估计通过放牧去除冠层生物量和叶面积。超过第一个空心茎阶段的每一天放牧,每天的预测谷物产量也降低了50 kg ha(-1)。牛的生长速度基于可代谢的能量摄入。每天最大自愿摄入量是根据牲畜体重和饲草质量估算的,并根据放牧的前14天的实际饲草供应量,温度和适应状况进一步调整,以估算实际每日摄取量。该模型未模拟由放牧引起的小麦生长过程的变化,包括放牧对植物物候发育延迟的影响。需要进行现场实验以表征任何此类影响,以帮助微调模型。

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