哈里亚纳邦巴瓦尔镇土壤参数之间的相互关系及其随季节变化而发生的变化

Pushpa Yadav, Soma Sharma
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摘要

土壤是农业的支柱,也是植物和农作物生长和生存所需的养分的原始来源。它受到人为和自然等各种因素的影响。在这项研究中,我们旨在解释气候变化(主要是季节变化)对巴瓦尔工业区土壤健康的影响。我们在三个不同的季节(夏季、冬季和季风)从三个不同的地点采集了 15 厘米深的样本。对样本的 pH 值、导电率(EC)、有机质(OM)、可利用氮(N)、钾(K)、磷(P)、镁(Mg)和钠(Na)进行了分析。结果显示,土壤中有机质、钾、磷和钠的浓度依次为冬季>雨季>夏季。与此相反,土壤 pH 值和镁含量在夏季最高,冬季次之,季风季节最低。导电率和氮含量的变化顺序为:雨季 > 冬季 > 夏季。统计分析结果表明,除 pH 值和 EC 值(夏季和冬季)外,土壤理化参数随季节的变化有明显的差异。使用多元线性回归解释了土壤参数之间的相互依存关系,结果表明:土壤 pH 值和镁含量呈显著线性回归,R2 为 0.890。Na 与 K(0.855)、P(0.827)和 OM(0.803)的 R2 有明显相关性。氮含量与 EC 值和土壤 pH 值呈良好的回归关系。有机质和钾的 R2 值也很显著(0.931)。土壤肥力受到气候变化的影响,但可以根据特定季节的土壤参数含量种植合适的作物来利用这些变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interrelationship Among Soil Parameters and their Alteration with Seasonal Changes in the Soil of Bawal Town, Haryana
Soil is the backbone of agriculture and original source of nutrient that are needed by plants and crops to grow and survival. It is governed by various factors like anthropogenic and natural factors. In this study we aim to interpret the effect of climatic changes mainly seasonal variations on the soil health of Bawal industrial area. Samples were collected at the depth of 15 cm, from three different sites in three different seasons; summer, winter and monsoon. Samples were analyzed for pH, Electrical conductivity (EC), Organic matter (OM), Available nitrogen (N), potassium (K), phosphorus (P) Magnesium (Mg) and Sodium (Na). Results revealed that the OM, K, P, and Na concentration of the soil were found to follow the order; winter>rainy>summer. In contrast to this, Soil pH and Mg content were reported their highest concentration in summer followed by winter and least in monsoon season. EC and N content were found to follow the order; rainy season > winter > summer. Statistical analysis concluded the significant variation in physiochemical parameters of soil with variation in seasons except pH and EC (in summer and winter season). Interdependency of soil parameters was interpreted using multiple linear regression and results highlight that, Soil pH and Mg content were showing a significant linear regression with R2 (0.890). Na showed a significant R2 with K (0.855), P (0.827) and OM (0.803). Nitrogen content had found to show good regression with EC and soil pH. Organic matter and Potassium were also reporting significant R2 values (0.931). Soil fertility was found to get affected by climatic change but the variations could be utilized by cultivating the suitable crops according to soil parameter contents in a particular season.
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