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Spatial Variability of Soil Chemical and Biological Properties in Florida Citrus Production

机译:佛罗里达州柑橘生产中土壤化学和生物学特性的空间变异性

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Soil and yield variability is a common problem in Florida citrus production; however, only limited progress has been made in charactering and identifying major yield-limiting properties. This study characterized the variability in soil chemical and biological properties. To achieve this, a citrus grove was divided into five productivity zones based on tree canopy volume (0-1.84, 1.84-3.67, 3.67-5.51, 5.51-7.34, and 7.34-9.18 m(3) m(-1) row for very poor, poor, medium, good, and very good, respectively) using geographic information system soft ware. Six random soil samples were collected from each productivity zone at four depths (0-15, 15-30, 30-45, and 45-60 cm) to analyze various soil properties. Soil organic matter, Mehlich I extractable P, K, Ca, and Mg, and oxalate-extractable Fe and Al varied greatly along the productivity gradient, and their differences among zones were most prominent in the lower soil depths. These soil properties had a common pattern of spatial distribution (range 150-200 m) that matched the variation in fruit yield. The results of discriminant function and partial least squares regression analyses revealed that the productivity within the grove differed in the 0- to 60-cm soil depth, signifying that greater root zone depths could better explain the differential productivity of citrus groves than the 0- to 15-cm layer, which is the depth used presently for fertilizer recommendations. Collectively, our results suggest that soil sampling depths for citrus should be 0 to 60 cm and sampling should be done based on the variogram range of easily measured soil properties.
机译:土壤和产量的变异性是佛罗里达州柑桔生产中的一个普遍问题。但是,在表征和鉴定主要的产量限制特性方面仅取得了有限的进展。这项研究的特点是土壤化学和生物学特性的变异性。为此,根据树冠体积将柑桔林分为五个生产力区域(0-1.84、1.84-3.67、3.67-5.51、5.51-7.34和7.34-9.18 m(3)m(-1)行使用地理信息系统软件分别非常差,差,中等,好和非常好)。从每个生产力区的四个深度(0-15、15-30、30-45和45-60 cm)收集了六个随机土壤样品,以分析各种土壤特性。土壤有机质,Mehlich I提取的P,K,Ca和Mg以及草酸盐提取的Fe和Al沿生产力梯度变化很大,并且在较低的土壤深度中,区域之间的差异最为明显。这些土壤特性具有与果实产量变化相匹配的共同的空间分布模式(范围为150-200 m)。判别函数和偏最小二乘回归分析的结果表明,在0至60 cm的土壤深度中,格罗夫内的生产力有所不同,这表明更大的根区深度比0至0 cm可以更好地解释柑橘林的差异生产力。 15厘米厚,这是目前用于肥料推荐的深度。总体而言,我们的结果表明,柑橘的土壤采样深度应为0至60 cm,并且采样应基于易于测量的土壤特性的变异函数范围进行。

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