Arulmani Ramasamy, Sellamuthu Kuppayevalasu Malayappagounder, Maragatham Subramaniam, Senthil Alargarsamy, Thamaraiselvi Seenapuram Palaniswami, Malathi Palaniappan, Sridevi Govindaraja
Tamil Nadu Agricultural University, Coimbatore, India.
Department of Soil Science and Agricultural Chemistry, Coimbatore, India.
Front Plant Sci. 2025 Jan 28;15:1481882. doi: 10.3389/fpls.2024.1481882. eCollection 2024.
Soil Test Crop Response (STCR), a combined plant nutrient management system that enables to develop fertilizer prescription equations for balanced crop nutrition, higher yield, profitability, and better nutrient efficiency. Field trial was carried out on Typic Haplohmult soil of Nilgiris, Tamil Nadu during 2023-2024 by Implementing an Inductive combined with a targeted yield model. Field trial includes a gradient experiment with a green viz., ; a test crop experiment with beetroot (Hybrid Improved Crystal) and a validation experiment with beetroot. First, the fertility gradient was ensured by the biomass yield and soil fertility. Then, test crop experiment with beet root were conducted in the same field to derive the basic parameters viz., Nutrient Requirement (NR), contribution of nutrients from fertilizers (C), contribution of nutrients from soil (C) and contribution of nutrients from the Farm Yard manure (C). Using the basic parameters, fertilizer prescription equations were developed based on Integrated Plant Nutrition System and validated. We found that 0.38, 0.29, and 0.46 kg of N, PO5, and KO, respectively, were required for producing one quintal of beetroot tuber under the integrated approach. Readily customized of fertilizer nutrient doses was developed for varying soil test values and desired yield targets of beetroot, for both inorganic (NPK) alone and NPK + Farm Yard Manure (FYM). The model was validated in the same soil series with the achievement of 40 and 45 tonnes of beetroot ha with 100.9% and 96.9% of yield achievement, respectively. The Soil analysis crop response - combined Plant Nutrition System model proved that beetroot yield can be increased by 34.74%, in relation to the generally recommended dose This inductive method could save 37, 26 and 34 kg of Nitrogen, Phosphorus and Potassium, respectively when Nitrogen, Phosphorus, Potassium fertilizers are combined with 12.5 t ha FYM as per soil test and targeted yield of beetroot.
土壤测试作物响应（STCR）是一种综合植物养分管理系统，能够制定肥料配方方程，以实现作物营养均衡、提高产量、盈利能力和养分利用效率。2023 - 2024年期间，在泰米尔纳德邦尼尔吉里斯的典型haplohmult土壤上进行了田间试验，采用归纳法结合目标产量模型。田间试验包括一项绿色梯度试验；一项甜菜根（杂交改良水晶品种）的试验作物试验和一项甜菜根的验证试验。首先，通过生物量产量和土壤肥力确保肥力梯度。然后，在同一地块进行甜菜根试验作物试验，以得出基本参数，即养分需求（NR）、肥料养分贡献（C）、土壤养分贡献（C）和农家肥养分贡献（C）。利用这些基本参数，基于综合植物营养系统制定并验证了肥料配方方程。我们发现，在综合方法下，生产一公担甜菜根块茎分别需要0.38、0.29和0.46千克的氮、五氧化二磷和氧化钾。针对不同的土壤测试值和甜菜根的期望产量目标，开发了易于定制的无机肥（仅NPK）和NPK + 农家肥（FYM）的肥料养分剂量。该模型在同一土壤系列中得到验证，分别实现了每公顷40吨和45吨甜菜根的产量，产量达成率分别为100.9%和96.9%。土壤分析作物响应 - 综合植物营养系统模型证明，与一般推荐剂量相比，甜菜根产量可提高34.74%。当根据土壤测试和甜菜根目标产量将氮、磷、钾肥与每公顷12.5吨农家肥结合使用时，这种归纳方法分别可节省37、26和34千克的氮、磷和钾。
