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首页> 外文期刊>Transactions of the ASABE >USE OF A CROP MODEL TO EVALUATE SOIL IMPEDANCE AND ROOT CLUMPING EFFECTS ON SOIL WATER EXTRACTION IN THREE ARGENTINE SOILS
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USE OF A CROP MODEL TO EVALUATE SOIL IMPEDANCE AND ROOT CLUMPING EFFECTS ON SOIL WATER EXTRACTION IN THREE ARGENTINE SOILS

机译:作物模型在三种阿根廷土壤中的土壤抗性和根系集结对土壤水分提取的影响

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Argentina is the third largest producer of grain soybean in the world and the largest producer of soybean meal and soybean oil exports. Soybean is grown mostly in the Pampas of central-eastern Argentina. Argillic soils (typic and vertic argiudolls) and typic pelluderts are present in approximately 50% of the soils used for soybean production. Those soils have swelling and cracking behavior that may result in root clumping, and thus the root system's ability to extract water may be restricted due to limited proliferation into the surrounding soil The CROPGRO-Soybean model's root growth and root water uptake routines were modified to improve its ability to simulate root growth and water uptake in soils where root penetration is restricted or roots are clumped together. Two empirical soil parameters, referred to as a soil impedance factor and a root clumping factor, were incorporated into this "revised" model. Data sets from a vertic argiudoll (Oliveros, Santa Fe), a typic argiudoll (Balcarce, Buenos Aires), and an enthic hapludoll (Manfredi, Cordoba) were used to evaluate the ability of the model to predict soil water extraction by soybean crops. An adaptive simulated annealing technique was used to estimate the soil impedance and root clumping factors. The revised CROPGRO-Soybean model was able to predict soil water extraction for three Argentine soils with different soil textures. The effectiveness of the model was expressed by low percent errors of estimation, ranging from 3.5% to 7.0% among different sites. The incorporation of soil impedance and root clumping factors allowed us to assess the effects of the argillic horizons in restricting root depth growth and root proliferation and thus in decreasing the potential root water uptake rates. The argillic horizons had more significant effects on root clumping than on restrictions of root depth growth. The clumping of roots caused by the presence of cracking horizons also reduced the rate of water uptake below those layers. Critical clay content thresholds as predictors of soil impedance and root clumping were found, providing a method for predicting soil impedance and root clumping factors for argillic soils.
机译:阿根廷是世界第三大谷物大豆生产国,也是大豆粉和大豆油出口的最大生产国。大豆主要在阿根廷中东部的潘帕斯州种植。大约有50%的大豆生产土壤中存在着典型的土壤(典型的和垂直的argiudolls)和典型的pelluderts。这些土壤具有膨胀和开裂的行为,可能导致根结块,因此,由于向周围土壤中的有限扩散,根系的水分提取能力可能受到限制。修改了CROPGRO-大豆模型的根系生长和根系吸水程序,以改善它具有在根部渗透受限或根结块在一起的土壤中模拟根生长和水分吸收的能力。将两个经验土壤参数(称为土壤阻抗因子和根结块因子)合并到此“修订”模型中。顶点Argiudoll(Oliveros,Santa Fe),典型Argiudoll(Balcarce,布宜诺斯艾利斯)和伦理Hapludoll(Manfredi,Cordoba)的数据集用于评估模型预测大豆作物提取土壤水的能力。采用自适应模拟退火技术估算土壤阻抗和根结块因子。修改后的CROPGRO-大豆模型能够预测三种土壤质地不同的阿根廷土壤的水提取量。该模型的有效性由较低的估计误差百分比表示,不同站点之间的误差范围从3.5%到7.0%。土壤阻抗和根结块因子的结合使我们能够评估泥质层位对限制根深增长和根系增殖从而降低潜在的根系吸水率的影响。泥质层对根结块的影响远大于对根深生长的限制。由于层间开裂而引起的根团结块也降低了这些层以下的水分吸收率。发现了临界粘土含量阈值作为土壤阻抗和根结块的预测指标,为预测泥质土壤的土壤阻抗和根结块因子提供了一种方法。

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