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首页> 外文期刊>Field Crops Research >Productivity and residual benefits of grain legumes to sorghum under semi-arid conditions in south-western Zimbabwe: Unravelling the effects of water and nitrogen using a simulation model
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Productivity and residual benefits of grain legumes to sorghum under semi-arid conditions in south-western Zimbabwe: Unravelling the effects of water and nitrogen using a simulation model

机译：津巴布韦西南部半干旱条件下谷物豆类作物对高粱的生产率和残留效益：使用模拟模型阐明水和氮的影响

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摘要

The APSIM model was used to assess the impact of legumes on sorghum grown in rotation in a nutrient-limited system under dry conditions in south- western Zimbabwe. An experiment was conducted at Lucydale, Matopos Research Station, between 2002 and 2005. The model was used to simulate soil and plant responses in the experiment. Sequences of cowpea (Vigna unguiculata), pigeonpea (Cajanus cajan), groundnut (Arachis hypogaea) and sorghum (Sorghum bicolor) were used in the rotations. Legumes accumulated up to 130 kg of N ha super(-1) which was potentially available for uptake by sorghum in the following season. The APSIM model predicted total biomass, grain and N yields of the legume phase within the experimental error and performed well in predicting sorghum yield and N supplied in the rotation after cowpea and groundnut. The model generally under-predicted sorghum total biomass and grain yield after pigeonpea. Observed patterns of crop water use, evaporative losses during the dry season and re-charge of soil profile at the start of the rainy season were generally well predicted by the model. An assessment of output on sorghum N and water stresses in the rotation indicated that the legume-cereal rotation is more driven by soil nitrogen availability than water availability even under semi-arid conditions. Further legume-cereal rotation analysis using the model will assist in the understanding of other processes in the rotations in dry environments.
机译：APSIM模型用于评估津巴布韦西南部在干旱条件下在营养受限的系统中豆类对高粱轮作的影响。在2002年至2005年之间，在Matopos研究站的Lucydale进行了一项实验。该模型用于模拟土壤和植物的反应。轮换使用cow豆（Vigna unguiculata），木豆（Cajanus cajan），花生（Arachis hypogaea）和高粱（Sorghum bicolor）的序列。豆类积累了高达130 kg的N ha super（-1），在接下来的季节中可能被高粱吸收。 APSIM模型可在实验误差范围内预测豆类相的总生物量，谷物和N的产量，并且在预测cow豆和花生后轮作中的高粱产量和N方面表现出色。该模型通常低估了木豆后的高粱总生物量和谷物产量。该模型通常可以很好地预测观察到的作物水分利用方式，干旱季节的蒸发损失以及雨季开始时土壤剖面的补给。对轮作中高粱N和水分胁迫的产量的评估表明，即使在半干旱条件下，豆科植物-谷物的轮作更受土壤氮的驱动，而不是水的驱动。使用该模型进一步进行豆类-谷物的轮换分析将有助于理解干旱环境中轮换的其他过程。

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