Assessing the Interaction in Maize Cropping Density, Nitrogen and Soil Moisture with a Systems Simulator in Semi-Arid Machakos District, Kenya

G. Okwach, M. Siambi, C. Simiyu
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引用次数: 2

Abstract

ABSTRACT The APSIM model was used to evaluate a range of maize densities on a sandy-clay loam at Kenya Agricultural Research Institute (KARJ)-Katumani Research Centre in Machakos and 2 contrasting farmers' fields situated on sandy and clay soil types. Each simulation was initialised with actual soil parameters measured at the time of commencing the run. Simulations on the Katumani soil were done under 5 contrasting Short Rainy i SR.) seasons of different rainfall regimes, namely SR1996 (185 mm), SR1995 (270 mm), SR1991 (328 mm), SR1992 (720 mm), and the El Nino season of SR1997 (958 mm). Maize densities used were 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10 plants/m2. The model showed that maize grain yield declined as density increased under the poor 1996 season. Optimum crop density increased with seasonal rainfall, to reach 5.0 plants/m2 in the 1992 and 1997 heavy rainfall seasons. On the farmers' fields, APSIM showed that the clay soil out-yielded the sandy soil in high rainfall, while the reverse was true on poorer seasons. Simulations were done to determine the effects of varying nitrogen at constant crop density of 5.3 plants/m2. Nitrogen rates used were 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, and 120 kg/ha. The response of maize to N fertiliser varied with seasonal rainfall. Grain yields were depressed when N was added to maize during the poorer SR1996 and SR1995 seasons. With higher seasonal rainfall, APSIM predicted a sharp increase in grain yield at low rates of N. Simulations of the effects of N on maize yield on the 3 farmers' fields (clay and sandy soils) were done for SR1997 (1310 mm) and SR1998 (122 mm) seasons, using N rates of 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100 kg ha. The model predicted crop failure for the SR1998 season on the clay soil throughout all levels of N rates. In the wet SR1997, grain yield was low at 0 to 30 kg N/ha, and then increased sharply at levels greater than 30 kg N/ha. The response to N was, therefore, highest in the clay soil under wet conditions. Grain yield responded well in the sandy soil during SR1997, though the rate of response was lower than in the clay soil. However, the sandy soil proved superior to clay in the poor season (SR1998). A gradual response to N was predicted in the sanity soil, up to 30 kg N/ha. Sowing date was more important for sandy than clay soil type. Delayed sowing on the clay soil type did not adversely affect yield, whereas a week's delay on the sandy soils led to a yield decline even in a favourable season.
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利用系统模拟器评估肯尼亚半干旱machaos地区玉米种植密度、氮素和土壤水分的相互作用
应用APSIM模型对位于马查科斯的肯尼亚农业研究所(KARJ)-Katumani研究中心的砂质-粘土壤土上的玉米密度范围进行了评估,并对位于砂质和粘土类型上的2个农民的农田进行了对比。每次模拟都是用开始运行时测量的实际土壤参数初始化的。在SR1996 (185 mm)、SR1995 (270 mm)、SR1991 (328 mm)、SR1992 (720 mm)和SR1997 (958 mm) 5个不同降雨条件下,对Katumani土壤进行了模拟。玉米密度分别为1、2、3、4、5、6、7、8、9和10株/m2。模型表明,在1996年较差的季节,玉米籽粒产量随着密度的增加而下降。最佳作物密度随季节降水增加而增加,1992年和1997年强降雨季节达到5.0株/m2。在农民的田间,APSIM显示,在高降雨季节,粘土的产量高于沙土,而在较差的季节,情况正好相反。模拟了在5.3株/m2等作物密度下,不同氮肥处理的效果。施氮量分别为0、10、20、30、40、50、60、70、80、90、100、110、120、130、140、150、160、170、180、190和120 kg/ha。玉米对氮肥的响应随季节降雨而变化。在1996年和1995年玉米产量较差的季节,施氮抑制了玉米产量。在季节性降雨较多的情况下,APSIM预测在低施氮量条件下粮食产量会急剧增加。在SR1997 (1310 mm)和SR1998 (122 mm)季节,分别采用0、10、20、30、40、50、60、70、80、90和100 kg ha施氮量,模拟了氮素对3个农民田(粘土和沙土)玉米产量的影响。该模型预测了SR1998季节不同施氮水平黏土的作物歉收情况。在1997年旱作中,0 ~ 30 kg N/ha时产量较低,大于30 kg N/ha时产量急剧增加。因此,湿润条件下粘土对氮的响应最大。在SR1997期间,沙质土壤的粮食产量响应良好,但响应速率低于粘土土壤。然而,在贫瘠的季节,沙质土壤被证明优于粘土(SR1998)。正常土壤对N的响应逐渐增大,达到30 kg N/ha。播期对砂质土壤比粘土土壤更重要。在粘土类型上延迟播种不会对产量产生不利影响,而在砂质土壤上延迟一周即使在有利季节也会导致产量下降。
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