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首页> 外文期刊>Crop & Pasture Science >Simulating forage production of Marandu palisade grass (Brachiaria brizantha) with the CROPGRO-Perennial Forage model
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Simulating forage production of Marandu palisade grass (Brachiaria brizantha) with the CROPGRO-Perennial Forage model

机译:使用CROPGRO-多年生牧草模型模拟Marandu木栅草(Brachiaria brizantha)的牧草生产

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Forage-based livestock systems are complex, and interactions among animals, plants and the environment exist at several levels of complexity, which can be evaluated using computer modelling. Despite the importance of grasslands for livestock production in Brazil, tools to assist producers to make decisions in forage-livestock systems are scarce. The objective of this research was to use the CROPGRO-Perennial Forage model to simulate the irrigated and rainfed growth of Marandu palisade grass (Brachiaria brizantha (A. Rich.) Stapf. cv. Marandu), the most widely grown forage in Brazil, by using parameters previously calibrated for the tall-growing cv. Xaraes of the same species, under non-limiting water conditions. The model was calibrated for the irrigated experiment and then tested against independent data of the rainfed experiment. Data used to calibrate the model included forage production, plant-part composition, leaf photosynthesis, leaf area index, specific leaf area, light interception and plant nitrogen (N) concentration from a field experiment conducted during 2011-13 in Piracicaba, SP, Brazil. Agronomic and morpho-physiological differences between the two grasses, such as maximum leaf photosynthesis, N concentration and temperature effect on growth rate, were considered in the calibration. Under rainfed conditions, the simulations using the Penman-Monteith FAO 56 method gave a more realistic water stress response than the Priestley and Taylor method. After model parameterisation, the mean simulated herbage yield was 4582 and 5249 kg ha(-1) for 28 days and 42 days irrigated, and 4158 and 4735 kg ha(-1) for 28 days and 42 days rainfed, respectively. The root-mean-square error ranged from 464 to 526 kg ha(-1) and the D-statistic from 0.907 to 0.962. The simulated/observed ratios ranged from 0.977 to 1.001. These results suggest that the CROPGRO-Perennial Forage model can be used to simulate growth of Marandu palisade grass adequately under irrigated and rainfed conditions.
机译:基于饲草的牲畜系统很复杂,动植物之间和环境之间的相互作用存在多个复杂程度,可以使用计算机建模对其进行评估。尽管在巴西,草原对于畜牧生产具有重要意义,但仍缺乏帮助生产者在草料-牲畜系统中做出决定的工具。这项研究的目的是使用CROPGRO-多年生牧草模型来模拟巴西最广泛种植的草料Marandu栅栏草(Brachiaria brizantha(A. Rich。)Stapf。cv。Marandu)的灌溉和雨养生长。使用先前为高个子简历校准的参数。在非限制性水条件下,相同物种的Xaraes。对该模型进行了灌溉实验的校准,然后针对雨育实验的独立数据进行了测试。用来校准模型的数据包括饲草产量,植物部分组成,叶片光合作用,叶片面积指数,比叶片面积,光截留率和来自巴西SPPiracicaba的2011-13年田间试验的植物氮(N)浓度。 。校准中考虑了两种草之间的农艺和形态生理差异,例如最大的叶片光合作用,氮浓度和温度对生长速率的影响。在雨水条件下,使用Penman-Monteith FAO 56方法进行的模拟比Priestley和Taylor方法更具真实感。在模型参数化之后,分别进行28天和42天灌溉的平均模拟牧草产量分别为4582和5249 kg ha(-1),以及分别进行28天和42天的雨养分别为4158和4735 kg ha(-1)。均方根误差范围为464至526 kg ha(-1),D统计量的范围为0.907至0.962。模拟/观察到的比率范围为0.977至1.001。这些结果表明,CROPGRO-多年生牧草模型可用于在灌溉和雨水条件下充分模拟马兰杜栅栏草的生长。

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