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Advances in precision agriculture in south-eastern Australia. IV. Spatial variability in plant-available water capacity of soil and its relationship with yield in site-specific management zones

机译:澳大利亚东南部精准农业的进步。 IV。特定地点管理区土壤植物可用水量的空间变异性及其与产量的关系

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摘要

Spatial variability in grain yield can arise from variation in many different soil and terrain properties. Identification of important sources of variation that bear significant relationship with grain yield can help achieve more effective site-specific management. This study had three aims: (i) a geostatistical description/modelling of the paddock-level spatial structure in variability of plant-available water capacity (PAWC) and related soil properties, (ii) to determine optimal number of management zones in the paddock, and (iii) to assess if the variability in PAWC and related soil properties is significantly associated with the variability in grain yield across the management zones. Particle size distribution, bulk density (BD), field capacity (FC), permanent wilting point (PWP), and soil water content (SWC) at sowing were measured at 4 soil depths (to 0.60 m) at 50 representative spatial sampling locations across a paddock near Birchip (Victoria). PAWC and plant-available water at sowing (PAWs) were derived from these data. Moderate to strong spatial dependence across the paddock was observed. The magnitude of the structural variation and of range varied widely across different soil properties and depths. The south-east edge and the central areas of the paddock had higher clay content, FC, PWP, PAWC, and lower PAWs. The paddock was divided into 6 potential management zones using combined header yield and normalised difference vegetation index (NDVI). The adequacy of zoning was evaluated using relative variability (RV) of header yield and soil properties. The mean RV for 3 zones differed little from that of 6 management zones for header yield and for each measured soil property, indicating division of the paddock into 3 zones to be adequate. The results from residual maximum likelihood (ReML) analysis showed that low yield zones had significantly higher clay content, FC, PWP, SWC, and PAWC and significantly lower PAWs than both medium and high yield zones. The mean FC, PWP, and PAWC in the low yield zones were, respectively, 25%, 26%, and 28% higher, and PAWs 36% lower than their corresponding values in the high yield zones. Linear regression analysis indicated that 59–96% of the observed variation in grain yield across management zones could be explained by variation in PWP. The practical implications of these results are discussed
机译:谷物产量的空间变异性可能源于许多不同土壤和地形特性的变异。识别与谷物产量有显着关系的重要变异源可帮助实现更有效的针对特定地点的管理。这项研究的三个目标是:(i)围场级空间结构的植物可用水量(PAWC)和相关土壤特性变异的地统计学描述/建模,(ii)确定围场中最佳管理区数(iii)评估整个管理区的PAWC和相关土壤特性的变化是否与谷物产量的变化显着相关。在4个土壤深度(至0.60 m),50个代表性空间采样位置上,测量了播种时的粒径分布,堆密度(BD),田间持水量(FC),永久枯萎点(PWP)和土壤含水量(SWC)伯奇普(维多利亚)附近的牧场。从这些数据中得出PAWC和播种时植物可用水(PAW)。整个围场中度到强烈的空间依赖性。结构变化的幅度和范围在不同的土壤性质和深度之间变化很大。围场的东南边缘和中部地区具有较高的粘土含量,FC,PWP,PAWC和较低的PAW。利用联合的表头产量和归一化植被指数(NDVI)将围场划分为6个潜在管理区。使用割台产量和土壤性质的相对变异性(RV)评估分区的适当性。 3个区域的平均RV与6个管理区域的割台产量和每种测得的土壤性质的平均RV相差不大,表明将围场划分为3个区域是足够的。剩余最大似然(ReML)分析的结果表明,与中高产区相比,低产区的粘土含量,FC,PWP,SWC和PAWC显着较高,而PAW则低得多。低产区的平均FC,PWP和PAWC分别比高产区的相应值高25%,26%和28%,PAW降低36%。线性回归分析表明,在整个管理区观察到的谷物产量变化的59–96%可以用PWP的变化来解释。讨论了这些结果的实际含义

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  • 来源
    《Crop and Pasture Science》 |2009年第9期|p.885-900|共16页
  • 作者单位

    A Department of Primary Industries, 255 Ferguson Road, Tatura, Vic. 3616, Australia. B Department of Primary Industries, 110 Natimuk Road, Horsham, Vic. 3400, Australia. C Department of Primary Industries, 32 Lincoln Square North, Carlton, Vic. 3053, Australia. D Department of Primary Industries, Cnr Midland Hwy and Taylor Street, Epsom, Vic. 3554, Australia. E Corresponding author. Email: abdur.rab@dpi.vic.gov.au;

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  • 正文语种 eng
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  • 关键词

    paddock zoning, variable rate technology.;

    机译:围场分区;可变速率技术。;

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