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首页> 外文期刊>Soil Science and Plant Nutrition >Farm-scale variations in soil color as influenced by organic matter and iron oxides in Japanese paddy fields
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Farm-scale variations in soil color as influenced by organic matter and iron oxides in Japanese paddy fields

机译：土壤颜色的农业规模变异，受日本稻田有机质和氧化铁的影响

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To understand how soil color is influenced by soil components at the farm scale, we evaluated spatial variation in soil color and related soil properties in Japanese paddy fields. After harvest of rice, 246 surface soil samples were collected in 10-m grids from five contiguous irrigated paddy fields, each with an area of about 0.5 ha. The samples were analyzed to determine color parameters (L*, a*, and b*), and contents of total C, total N, Fe oxides, sand, and loss-on-ignition. The results obtained were modeled and mapped geostatistically. All color parameters indicated strong spatial dependence with long ranges (>85 m). In contrast, total C and N showed short ranges (about 40 m). The contents of Fe oxides, sand, and loss-on-ignition showed intermediate ranges (50-85 m). The ranges of these properties and their distribution patterns suggested that the contents of total C and N were influenced by long-term application of manure and that sand content was influenced by topography and past land consolidation. Further soil color analysis after removal of organic matter or silt plus clay particles revealed that soil organic matter, texture, and Fe oxides affected soil color parameters in a complex manner. Prediction of total C from soil darkness was hindered by the presence of silt plus clay particles containing Fe oxides. On the other hand, citrate-dithionite extractable Fe was estimated accurately from the b* value (yellowness), which can be useful for predicting the occurrence of akiochi (autumn decline) disease of rice at the farm scale.
机译：要了解农业规模土壤成分的土壤颜色如何影响土壤成分，我们在日本稻田中评估了土壤颜色及相关土壤性质的空间变化。在收获水稻后，从五个连续灌溉稻田中收集246种表面土壤样品，每个灌溉稻田中的10米栅格，每个面积约为0.5公顷。分析样品以确定颜色参数（L *，A *和B *），以及总C，总N，Fe氧化物，沙子和损失点火的含量。获得的结果被建模并映射了地偶突录。所有颜色参数都表示具有长范围（> 85米）的强空间依赖性。相比之下，总C和N显示短的范围（约40米）。 Fe氧化物，沙子和脱落损失的含量显示中间范围（50-85米）。这些性质及其分布模式的范围表明，总C和N的内容受到粪肥长期施用的影响，并且砂含量受到地形和过去的土地固结的影响。除去有机质或淤泥加粘土颗粒后进一步的土壤颜色分析显示土壤有机物质，质地和Fe氧化物以复杂的方式影响土壤颜色参数。通过含有Fe氧化物的淤泥加粘土颗粒的存在阻碍了土壤黑暗的总C的预测。另一方面，从B *值（Yellowness）中精确地估计柠檬酸二硫代硫酮可提取的Fe，这可用于预测农场规模的稻米（秋季下降）疾病的发生。

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