基于能源-碳-热利用效率和播期评估的印度芥菜多样化生产系统设计

IF 5.9 3区 工程技术 Q1 AGRONOMY
Sunil Kumar, Ram Swaroop Meena, Sandeep Kumar, Gourisankar Pradhan, Chetan Kumar Jangir, Shambhunath Ghosh, Himani Punia, Parvender Sheoran, Ramawatar Meena, Md. Afjal Ahmad, Suneel Kumar Goyal, Nazih Y. Rebouh
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The experiment was conducted using a split-plot design (SPD) with three sowing dates—November 17, November 27, and December 07—in the main plots, and eight nutrient sources in the subplots, where the recommended dose of fertilizer was 100 N:50 P<sub>2</sub>O<sub>5</sub>:50 K<sub>2</sub>O:40 S kg ha<sup>−1</sup>. The results, based on pooled data, indicated that among the sowing dates, November 17 recorded the highest values for several key metrics. 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引用次数: 0

摘要

水稻-小麦种植系统面临着诸如产量停滞、高投入和能源需求以及日益严重的土壤和空气污染等重大挑战。印度芥菜(Brassica juncea L.)是水稻生态系统中具有多样化前景的作物。本研究的目的是评价不同播期和营养来源对不同品种芥菜能量收支的影响,以及这些营养来源对热碳效率的影响。试验采用分畦设计(SPD),主畦为3个播期(11月17日、11月27日和12月07日),次畦为8个养分源,推荐施肥剂量为100 N:50 P2O5:50 K2O:40 S kg ha−1。结果表明,在播种日期中,11月17日的几个关键指标最高。这些指标包括能源利用效率(EUE: 3.46、5.12和12.16)、能源生产(EP: 0.152、0.41和0.56 kg MJ - 1)、净能量(NE: 29,712、50,483和92,558 MJ - 1)、能源盈利能力(EPr: 2.46、2.88和6.34)、人类能源盈利能力(HEP: 364.82、412.60和777.42)、能源输出效率(EOE: 364.69、412.49和777.18 MJ - 1)、碳排放(CO: 815、2215和3030 kg CE - 1)、碳效率(CE: 2.07、5.59和7.66)和碳可持续性指数(CSI:与2007年11月27日和12月播种的作物相比,种子、秸秆和生物产量分别为1.07、4.59和6.66)。研究还发现,播后45天和90天干物质的热利用效率(HUE)以及种子、秸秆和生物产量(分别为13.3、8.46、1.52、4.16和5.69 kg ha - 1°C天)显著增加。对照处理在种子、秸秆和生物产量方面的EUE(3.92、5.10和12.1)、EP(0.172、0.408和0.58 kg ha−1)和EPr(2.92、2.86和6.78)最高,优于其他营养源。在100%推荐用量的肥料(RDF)与固氮菌和溶磷菌(PSB)配合施用时,种子、秸秆和生物产量的SE产量最高,分别为8.59、3.48和2.47 MJ kg−1。此外,在施用75% RDF + 25%压力氮,结合固氮菌和PSB的情况下,籽粒、秸秆和生物产量的最高NE(35,427、52,203和102,370 MJ ha−1)、HEP(434.02、438.67和872.68)、EOE(448.37、452.68和901.04 MJ d−1)、CO(972、2359和3331 kg CE ha−1)、CE(2.48、6.01和8.48)、CSI(1.48、5.01和7.48)和HUE(1.67、4.12和5.81 kg ha−1°C d)。这项研究为优化播种日期和营养来源提供了一个新的框架,可以促进节能、热碳高效和生态友好的生产系统的发展。其研究结果为提高水稻种植系统的可持续性和减少环境足迹提供了可扩展的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a Diversified Indian Mustard Production System for Energy-Carbon-Cum-Heat Use Efficiency and Sowing Dates Assessment

The rice (Oryza sativa L.)–wheat (Triticum aestivum L.) cropping system faces major challenges such as stagnant yields, high input and energy demands, and increasing soil and air pollution. Indian mustard (Brassica juncea L.) is a promising crop for diversification within rice-based ecosystems. The objective of this study was to evaluate the effects of different sowing dates and nutrient sources on energy budgeting in diversified Indian mustard and to assess the impact of these nutrient sources on heat-cum-carbon efficiency. The experiment was conducted using a split-plot design (SPD) with three sowing dates—November 17, November 27, and December 07—in the main plots, and eight nutrient sources in the subplots, where the recommended dose of fertilizer was 100 N:50 P2O5:50 K2O:40 S kg ha−1. The results, based on pooled data, indicated that among the sowing dates, November 17 recorded the highest values for several key metrics. These include energy use efficiency (EUE: 3.46, 5.12, and 12.16), energy production (EP: 0.152, 0.41, and 0.56 kg MJ−1), net energy (NE: 29,712, 50,483, and 92,558 MJ ha−1), energy profitability (EPr: 2.46, 2.88, and 6.34), human energy profitability (HEP: 364.82, 412.60, and 777.42), energy output efficiency (EOE: 364.69, 412.49, and 777.18 MJ d−1), carbon output (CO: 815, 2215, and 3030 kg CE ha−1), carbon efficiency (CE: 2.07, 5.59, and 7.66), and carbon sustainability index (CSI: 1.07, 4.59, and 6.66) for seed, stover, and biological yield, respectively, compared to the crops sown on November 27 and December 07. The study also revealed significant increases in heat use efficiency (HUE) on dry matter at 45 and 90 days after sowing (DAS) and on seed, stover, and biological yield (13.3, 8.46, 1.52, 4.16, and 5.69 kg ha−1°C days, respectively). In the subplots, the highest EUE (3.92, 5.10, and 12.1), EP (0.172, 0.408, and 0.58 kg ha−1), and EPr (2.92, 2.86, and 6.78) for seed, stover, and biological yield were observed in the control treatment, outperforming the other nutrient sources on a pooled basis. The highest SE production (8.59, 3.48, and 2.47 MJ kg−1) for seed, stover, and biological yield was recorded with the application of 100% of the recommended dose of fertilizer (RDF) combined with Azotobacter and phosphorus-solubilizing bacteria (PSB). Furthermore, the highest NE (35,427, 52,203, and 102,370 MJ ha−1), HEP (434.02, 438.67, and 872.68), EOE (448.37, 452.68, and 901.04 MJ d−1), CO (972, 2359, and 3331 kg CE ha−1), CE (2.48, 6.01, and 8.48), CSI (1.48, 5.01, and 7.48), and HUE (1.67, 4.12, and 5.81 kg ha−1°C days) for seed, stover, and biological yield were observed with the application of 75% RDF + 25% nitrogen from pressmud, combined with Azotobacter and PSB. This study provides a novel framework for optimizing sowing dates and nutrient sources that can lead to the development of an energy-efficient, heat-cum-carbon-efficient, and eco-friendly production system. Its findings offer scalable solutions for enhancing sustainability and reducing environmental footprints in rice-based cropping systems.

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来源期刊
Global Change Biology Bioenergy
Global Change Biology Bioenergy AGRONOMY-ENERGY & FUELS
CiteScore
10.30
自引率
7.10%
发文量
96
审稿时长
1.5 months
期刊介绍: GCB Bioenergy is an international journal publishing original research papers, review articles and commentaries that promote understanding of the interface between biological and environmental sciences and the production of fuels directly from plants, algae and waste. The scope of the journal extends to areas outside of biology to policy forum, socioeconomic analyses, technoeconomic analyses and systems analysis. Papers do not need a global change component for consideration for publication, it is viewed as implicit that most bioenergy will be beneficial in avoiding at least a part of the fossil fuel energy that would otherwise be used. Key areas covered by the journal: Bioenergy feedstock and bio-oil production: energy crops and algae their management,, genomics, genetic improvements, planting, harvesting, storage, transportation, integrated logistics, production modeling, composition and its modification, pests, diseases and weeds of feedstocks. Manuscripts concerning alternative energy based on biological mimicry are also encouraged (e.g. artificial photosynthesis). Biological Residues/Co-products: from agricultural production, forestry and plantations (stover, sugar, bio-plastics, etc.), algae processing industries, and municipal sources (MSW). Bioenergy and the Environment: ecosystem services, carbon mitigation, land use change, life cycle assessment, energy and greenhouse gas balances, water use, water quality, assessment of sustainability, and biodiversity issues. Bioenergy Socioeconomics: examining the economic viability or social acceptability of crops, crops systems and their processing, including genetically modified organisms [GMOs], health impacts of bioenergy systems. Bioenergy Policy: legislative developments affecting biofuels and bioenergy. Bioenergy Systems Analysis: examining biological developments in a whole systems context.
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