数值变量分析和利用微生物培养提高普杜切里沿海地区花生的磷利用效率

S. Ravi, S.R. Shri Rangasami, K. Sathiya, V. Rajanbabu, S. A. Fanish, R. Murugaragavan, G. Yazhini, T. Pradeesh Kumar
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摘要

背景:精确施用磷肥是决定落花生(Arachis hypogaea L.)产量的关键。固氮过程中能量传递分子对磷的需求量很大,因此磷对豆科作物至关重要。2021 年至 2023 年期间,在普杜切里的 Perunthalaivar Kamaraj Krishi Vigyan Kendra 进行了一项田间试验,通过采用微生物培养与不同水平磷的最佳组合,探索落花生的表现。实验方法实验采用随机区组设计,共设 10 个处理,重复三次。处理包括使用不同剂量的磷(@ 20、40 和 60 千克/公顷)和不使用 DGRC 培养物进行种子处理。结果三年的试验结果表明,在普度克里的沙质壤土上,花生对磷肥和根瘤菌接种剂的反应各不相同。钾肥施用量和 DGRC 接种剂对花生的生长、根瘤、根瘤干重、豆荚和果仁产量有显著影响。这项研究的结论是,结合施用每公顷 60 公斤的钾肥和每公斤 20 克的 DGRC 培养接种剂进行种子处理,有可能提高花生的产量和收益。相关分析和回归分析也表明,产量属性对花生产量有积极影响。
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Numerical Variables Analysis and Improving Phosphorus Use Efficiency in Groundnut with Microbial Cultures in Coastal Zone of Puducherry
Background: The precise application of phosphorus fertilizer is pivotal in determining Groundnut (Arachis hypogaea L.) productivity. The high demand of phosphorus for energy transfer molecules involved in nitrogen fixation makes it essential for leguminous crop. A field experiment was conducted at Perunthalaivar Kamaraj Krishi Vigyan Kendra, Puducherry during 2021 to 2023 to explore the performance of groundnut by employing an optimal combination of microbial culture alongside varying levels of phosphorus. Methods: The experiment was laid out in randomized block design with 10 treatments and replicated thrice. The treatments consisted of different doses of phosphorus (@ 20, 40 and 60 kg/ha) with and without seed treatment with DGRC culture. Result: The experiment results of the three years study revealed that a variable response of groundnut to P fertilizer rates and rhizobium inoculant on sandy loam soil in puducherry. P fertilizer rates combined with DGRC inoculant had a significant influence on growth, root nodule, nodule dry weight, pod and kernel yield. From this study, it may concluded that combined application of P fertilizer @ 60 kg/ha and seed treatment of DGRC culture inoculants @ 20 g/kg seed have the potential to increase the productivity and profitability of groundnut. Correlation and Regression analysis also indicated that the yield attributes had a positive impact on groundnut yield.
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