Tola E, Al-Gaadi K A, Madugundu R, Zeyada A M, Kayad A G, Biradar C M
Precision Agriculture Research Chair, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia.
Precision Agriculture Research Chair, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia; Department of Agricultural Engineering, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia.
Saudi J Biol Sci. 2017 Feb;24(2):421-429. doi: 10.1016/j.sjbs.2016.04.013. Epub 2016 Apr 27.
Characterization of soil properties is a key step in understanding the source of spatial variability in the productivity across agricultural fields. A study on a 16 ha field located in the eastern region of Saudi Arabia was undertaken to investigate the spatial variability of selected soil properties, such as soil compaction 'SC', electrical conductivity 'EC', pH (acidity or alkalinity of soil) and soil texture and its impact on the productivity of Rhodes grass (). The productivity of Rhodes grass was investigated using the Cumulative Normalized Difference Vegetation Index (CNDVI), which was determined from Landsat-8 (OLI) images. The statistical analysis showed high spatial variability across the experimental field based on SC, clay and silt; indicated by values of the coefficient of variation (CV) of 22.08%, 21.89% and 21.02%, respectively. However, low to very low variability was observed for soil EC, sand and pH; with CV values of 13.94%, 7.20% and 0.53%, respectively. Results of the CNDVI of two successive harvests showed a relatively similar trend of Rhodes grass productivity across the experimental area ( = 0.74, = 0.0001). Soil physicochemical layers of a considerable spatial variability (SC, clay, silt and EC) were utilized to delineate the experimental field into three management zones (MZ-1, MZ-2 and MZ-3); which covered 30.23%, 33.85% and 35.92% of the total area, respectively. The results of CNDVI indicated that the MZ-1 was the most productive zone, as its major areas of 50.28% and 45.09% were occupied by the highest CNDVI classes of 0.97-1.08 and 4.26-4.72, for the first and second harvests, respectively.
土壤性质的表征是理解农田生产力空间变异性来源的关键步骤。对沙特阿拉伯东部一个16公顷的田地进行了一项研究,以调查选定土壤性质的空间变异性,如土壤压实度“SC”、电导率“EC”、pH值(土壤酸碱度)和土壤质地及其对罗得草生产力的影响。利用从Landsat - 8(OLI)图像确定的累积归一化差异植被指数(CNDVI)来研究罗得草的生产力。统计分析表明,基于SC、黏土和粉砂,整个试验田存在高空间变异性;变异系数(CV)值分别为22.08%、21.89%和21.02%。然而,土壤EC、砂和pH值的变异性较低至非常低;CV值分别为13.94%、7.20%和0.53%。连续两次收获的CNDVI结果显示,整个试验区罗得草生产力的趋势相对相似(= 0.74,= 0.0001)。利用具有相当空间变异性的土壤物理化学层(SC、黏土、粉砂和EC)将试验田划分为三个管理区(MZ - 1、MZ - 2和MZ - 3);它们分别占总面积的30.23%、33.85%和35.92%。CNDVI结果表明,MZ - 1是生产力最高的区域,因为其主要区域的50.28%和45.09%在第一次和第二次收获时分别被最高的CNDVI等级0.97 - 1.08和4.26 - 4.72占据。