埃及尼罗河三角洲中部el-gemmieza粘质土壤土壤性质的空间变异及其对水稻产量的影响

M. M. Harvey, B. E. Gamal, M. Aal
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引用次数: 0

摘要

了解水稻产量与土壤性质之间的关系对精准农业至关重要。本研究的目的是评价土壤特性的特殊变异与水稻产量之间的关系。研究面积为41.67公顷,位于农业部el - gemiieza农业研究站。复位。埃及El Gharbiah省(尼罗河三角洲中部)中心(ARC)。研究地点分为两个地点,其水稻产量各不相同。土壤pH值在站点(1)和站点(2)呈微碱性,EC和CEC在站点(1)高于站点(2),ESP在站点(2)高于站点1。位点(1)下的可交换阳离子高于位点(2),但可交换na表现出相反的行为。样地1土壤容重值低于样地(2);总孔隙度、导水率和入渗率在立地(1)均高于立地(2)。籽粒产量、秸秆产量、收获指数、籽粒和秸秆氮磷钾含量和吸收量在立地(1)均高于立地(2)。研究最多的性状变异系数(CV)值变异性较低(< 20)。土壤CEC、可溶性钾、交换性钙、镁、速效氮和速效钾、总孔隙度和水导率在5%水平上呈显著正相关。交换态钠与容重呈显著负相关,呈负相关趋势,在5%水平上呈显著负相关。另一方面,站点2的讽刺分析结果表明,水稻籽粒产量与收获指数、秸秆氮钾吸收量、CEC、O.M、交换性ca和K、有效氮和有效磷、总孔隙度和水导率等性状均呈显著正相关。由站点(1)的逐步回归分析结果可知,土壤物理特性对水稻产量的影响顺序为:入渗速率>土壤总孔隙度>饱和导水率(Ksat)。土壤速效养分的延续因子在速效钾和速效氮上分别为90.7%和7.0%。对于场地(2),土壤物理特性对水稻产量的影响顺序为:容重>饱和导水率。土壤速效养分的延续因子为:速效钾和速效磷的延续因子分别为91.1%和5.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SPATIAL VARIABILITY OF SOIL PROPERTIES AND EFFECTS ON RICE YIELD GROWN ON EL-GEMMIEZA CLAYEY SOIL (MIDDLE OF NILE DELTA OF EGYPT)
Understanding the relationships between rice yield and soil properties is very critical importance in precision farming. The objective of this work was to evaluate the relationships between special variability of soil properties and rice yield (Oryza sativa). The area under study is 41.67 ha in EL-Gemmieza Agriculture Research Station, of the Agric. Rese. Center (ARC), El Gharbiah Governorate, Egypt (Middle of Nile Delta). The studied location divided into two sites varied in their productivity of rice. Soil pH was found slightly alkaline at site (1) and alkaline at site (2). The EC and CEC in site (1) were higher than at site (2). On contrary values of ESP were higher at site (2) than at site 1. Higher exchangeable cations were observed under site (1) than site (2) except of exchangeable -Na showed a contrary behavior. Data also showed that values of soil bulk density were lower under site 1 than site (2) whereas; total porosity, hydraulic conductivity and infiltration rate were higher in site (1) than site (2). Higher values of grain yield, straw yield, harvest index and NPK content and uptake in grain and straw were found in site (1) than in site (2). The values of variation coefficients (CV) of the most studied traits showed low variability (< 20). At site 1 there is a significant correlation at 5% level with positive trends between grain yield and the traits of CEC, soluble K, exchangeable Ca, Mg, available N and K, total porosity and hydraulic conductivity. While, negative significant correlations at 5% level with negative trends were noticed between exchangeable Na and bulk density. On the other hand, result of satirical analysis of site 2 indicated a positive and significant correlations between grain yield of rice plant and all the traits of harvest index, N and K uptake in straw, CEC, O.M, exchangeable Ca& K, available N & available -P, total porosity and hydraulic conductivity. As the results of the stepwise regression analysis of site (1), it can arrange the soil physical characteristics, as their effective on rice yield, in the following order of: infiltration rate > soil total porosity > saturated hydraulic conductivity (Ksat). While the order of soil chemical characteristics were: ESP > pH > EC > O.M. As for soil available nutrients, their continuation factors were 90.7, and 7.0 % for soil available–K & available– N, respectively. For site (2) it can arrange the soil physical characteristics, as their effective on rice yield, in the following order of: bulk density > saturated hydraulic conductivity. While the order of soil chemical characteristics was: ESP > pH > CEC > O.M. As for soil available nutrients, their continuation factors were 91.1 and 5.6 % for soil available–K, and P, respectively.
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