Technology to Increase Carbon Mineralization Potential of Crop Residues under Cotton-Maize-Pulse Cropping System

Q3 Agricultural and Biological Sciences Indian Journal Of Agricultural Research Pub Date : 2024-02-01 DOI:10.18805/ijare.a-6180
R. M. Kumar, N. Sekaran, D. Selvi, T. Kalaiselvi, A. Surendrakumar
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Abstract

Background: Cotton, maize and pulses are widely grown crops in the western zone of Tamil Nadu, resulting in a significant accumulation of crop residues throughout the year. The persistence of these crop residues after harvest can cause problems for farmers and the soil system. Therefore, the goal of the current study is to investigate the carbon mineralization process in these residues to enrich the soil’s nutrient content, turning waste into a valuable resource. Methods: The incubation experiment comprised 13 treatments, each with three replicates. These included a control, surface residue addition, buried residue addition and various combinations of soil, residue, microbial consortia, urea and jaggery, both on the soil surface (S) and incorporated into the soil (I). Result: The incorporation of crop residues into the soil, along with the addition of 1% microbial consortia, 2.0% jaggery and 1% urea, significantly enhanced carbon mineralization. Among the three crop residues, cowpea exhibited the highest performance, followed by cotton and maize, with values of 692, 564 and 522 µg C g-1 soil, respectively. This trend was further supported by the Michaelis-Menten model (V = 951.72 * x/22.13 + x), with a high goodness-of-fit represented by an R2 value of 0.95 for cowpea. The maximum Vmax (951.72 µmol/min) further substantiates the efficient carbon mineralization achieved by utilizing allocated resources in cowpea-incorporated crop residues (CWFI).
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提高棉花-玉米-脉冲种植系统下作物残余物碳矿化潜力的技术
背景:棉花、玉米和豆类是泰米尔纳德邦西部地区广泛种植的作物,导致作物残留物全年大量积累。收获后这些作物残留物的持续存在会给农民和土壤系统带来问题。因此,本研究的目标是调查这些残留物的碳矿化过程,以丰富土壤的养分含量,变废为宝。研究方法培养实验包括 13 个处理,每个处理有三个重复。其中包括对照组、地表残留物添加组、地下残留物添加组,以及土壤、残留物、微生物菌群、尿素和琼脂的不同组合,既有在土壤表面的处理(S),也有融入土壤的处理(I)。结果将作物残留物与 1%的微生物菌群、2.0% 的琼脂和 1%的尿素一起加入土壤中,可显著提高碳矿化。在三种作物残留物中,豇豆的表现最好,其次是棉花和玉米,分别为 692、564 和 522 µg C g-1 土壤。Michaelis-Menten 模型(V = 951.72 * x/22.13 + x)进一步证实了这一趋势,豇豆的 R2 值为 0.95,拟合度很高。最大 Vmax(951.72 µmol/min)进一步证实了利用豇豆融入作物残渣(CWFI)中的分配资源实现的高效碳矿化。
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来源期刊
Indian Journal Of Agricultural Research
Indian Journal Of Agricultural Research Agricultural and Biological Sciences-Soil Science
CiteScore
1.00
自引率
0.00%
发文量
143
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