Types Of Plants Research Articles

Insect community structure in young and productive coffee farms under leucaena shade of Jember Regency, East Java, Indonesia

The developmental phase of Robusta coffee plantations with agroforestry systems exhibits varying ecosystem characteristics (biotic and abiotic), therebyinfluencing the dynamics of insect community composition within them. One of the major coffee-producing centers in East Java is Jember Regency, where coffeecultivation commonly employs agroforestry systems with various shade trees. Understanding the abundance of insect species in agroforestry coffee plantations is important for determining insect pest control measures. This research aims to study the insect community structure in young coffee and productive coffee farms. Insect sampling was conducted in young coffee farms and productive coffee farms at the Kaliwining Experimental Station, Indonesian Coffee and Cocoa Research Institute (ICCRI), by using road sampling methods with insect nets and pitfall traps. Both types of plantations utilize Leucaena sp. var L2 as shade trees, forming agroforestry coffee plantation systems. Data analysis was performed by calculating the Shannon-Wiener diversity index (H’) to assess insectdiversity and the independent sample t-test to determine differences in insect abundance based on functional roles between the two farms. The results indicatethat the composition and abundance of insects in productive coffee farms are higher than in young coffee farms, resulting in a higher insect diversity index valuefor productive coffee farms (categorized as high), while young coffee farms fall into the moderate category. Furthermore, based on their functional roles, productive coffee farms positively influence the abundance of herbivorous, predatory, parasitoid, and detritivorous insects.

A jövőbeli erőművi portfólió elemzés költség- és kibocsátás minimum optimalizálás szempontjából

The article examines the expected composition of the power plant portfolio in Hungary by 2030. The indicators considered are the life-cycle unit costs (LCOE) and the life-cycle specific carbon dioxide emissions (LCA(CO2)) of the power plant types. The minimum of these two indicators, as objective functions, is determined by a linear programming method for the power plant portfolio. The results show that the LCOE minimum for the power plant portfolios in 2030 is worse in absolute terms and better in specific terms than in 2021. In both absolute and specific terms, the LCA(CO2) minimum is more favourable in 2021. These results are met under the thirty and twenty-five percent electricity import scenarios. With twenty percent imports, the absolute values are worse and the specific values are better for both indicators. On the other hand, the results of the calculations for 2030 fall short of the 2030 Agenda of the Institute for a Green Transition. This is due to the delay in commissioning a new nuclear power plant and the transformation of industry with increasing electricity demand. For the portfolios under review, a minimum of thirty percent of domestic generation from renewable sources is met. This contributes significantly to the European Union's ambition for the sector to be net greenhouse gas-free by 2050.

Research on improvement strategies for a lightweight multi-object weed detection network based on YOLOv5

Traditional weed detection technology has several limitations, including low detection accuracy, substantial computational demands, and large-scale detection models. To meet the requirements of weed multi-target identification and portability, this study proposes the YOLO–WEED model for weed recognition. The proposed model has the following innovations: (1) The backbone standard convolution module in YOLOv5 was replaced by the lightweight MobileNetv3 network to simplify the network structure and reduce parameter complexity; (2) The addition of convolutional block attention module (CBAM) to the neck network enabled the model to focus on the most important features while filtering out noise and irrelevant information; (3) To further improve classification accuracy and reduce loss, the C2f module was employed to improve the C3 module in the neck network; and (4) During the model plot process, a coordinate variable was added in the box label to help the model accurately locate the weeds. In the study, six species of weeds and one crop were used as test subjects. After image enhancement techniques were used, ablation experiments were deployed. The experimental results indicated that the YOLO–WEED model achieved an average accuracy of 92.5% in identifying six types of weeds and one type of crop. The accuracies for each type of plant were 82.7%, 97.3%, 98.8%, 86%, 93.5%, 99.3% and 89.6%, respectively. The number of model parameters was reduced by 39.4% compared with YOLOv5s. Furthermore, the localisation, classification and object losses were reduced by 0.025, 0.005 and 0.014, respectively. The model optimisation and deployment of the Jetson mobile terminal for multi-target detection were realised, and the performance was better than six network models such as YOLOv5s.

Financial Feasibility of Palm Sugar Business in Ogomoli Village, District Galang Tolitoli Regency

Sugar palm (Arenga pinnata) is a type of plant that has been known for a long time because almost all parts of this palm tree can be used and contribute to people's income. Sugar palm as an NTFP product has a very important role in the development of NTFPs in Indonesia can support the economy of rural communities and has a bright market and high demand. This research aims to determine the financial feasibility of the palm sugar business and determine community income from selling palm sugar in Ogomoli Village, Tolitoli Regency, Galang District. The method used in this research is the census method (which is studied in measuring variables), namely, all individuals in the population are enumerated (investigated or interviewed) as respondents. Results of research carried out in Ogomoli Village, Galang District, Tolitoli Regency. Took a sample of 44 people. Based on the research results above, the average income from the palm sugar business in Ogomoli Village, Galang District, Toli-Toli Regency obtained by respondents was equal to. Rp. 19.584.00/ year with an average NPV of Rp. 105.950.39, with a Net B/ C of Rp. 5.33. The IRR value is 11.50% and the payback period (PP) in the palm sugar business is the profit earned or returned in the sixth year.

Principles and Significance of Nitrogen Management for Blackberry Production

Blackberry cultivation presents significant opportunities for fruit growers in subtropical regions, where nitrogen (N) is identified as a crucial macronutrient for optimal production. Given the variability in climate and soil conditions, determining the ideal N fertilizer amount can be complex. Effective blackberry cultivation requires careful attention to the principles of nutrient stewardship, including the selection of appropriate N sources, application rates, timing, and placement. Recommended N rates generally range from 25–45 kg/ha in the first year and 45–70 kg/ha in subsequent years, with adjustments based on plant type and regional conditions. The choice of fertilizer, particularly NH4+, is beneficial for blackberry plants, which thrive in acidic soils and show improved biomass and chlorophyll levels with this form of N. Research on N-cycling reveals its importance in supporting new plant growth, such as primocane development. However, improper N management, either excessive or insufficient, can negatively impact flower bud production and, consequently, fruit setting and yield. By using databases such as Google Scholar, Scopus, and Web of Science, this review synthesizes existing research on the role of N in blackberry cultivation, emphasizing the importance of precise fertilization practices tailored to regional climate and soil conditions. By highlighting variations in recommended N amounts and underscoring the principles of nutrient stewardship, this review aims to guide growers in achieving sustainable and high-quality blackberry production.

Effect of Microbial Degradation Treatments on Lignocellulose, Cellulose, and Water-Holding Capacity of Four Typical Forest Fuels from Northeast China

Since forest fuel decomposes slowly and increases the risk of forest fires by accumulating over the years, forest fuel management to accelerate the decomposition process is essential to prevent forest fires and protect forest resources. In this study, we conducted experiments on forest fuels (Pinus sylvestris var. mongholica, Larix gmelinii, Quercus mongolica and Fraxinus mandshurica) in four typical plantation forests in northeast China by adding Trichoderma spp. to investigate the decomposition process and the changes in cellulose, hemicellulose and the water-holding capacity of the fuels. The addition of Trichoderma spp. accelerated the decomposition of cellulose, hemicellulose and lignin in the fuel. Trichoderma spp. promoted the ratio of water absorption and loss, as well as the water-holding capacity of the fuels. The ratio of water absorption and loss reached equilibrium when the decomposition time was up to 35 days, and the addition of Trichoderma spp. increased the maximal water-holding capacity of the fuel. The residual ratio of the four types of fuel degraded by the different treatments was inversely proportional to their maximal water-holding capacities and to the residual ratios of cellulose, hemicellulose and lignin. The residual ratios of degradation of the four fuels under different treatments were linearly related to their maximum water-holding capacity, cellulose, hemicellulose and lignin residual ratios. Trichoderma spp. had a positive effect on the degradation effect and water-holding capacity of fuel on the ground surface of four typical plantation forests. The study is of positive significance for the decomposition of fuel in forests, it promotes the development of biological fire prevention technology and provides a basis for the reinforcement of the management of fuel in forests and the protection of forest resources.

A plant-specific clade of serine/arginine-rich proteins regulates RNA splicing homeostasis and thermotolerance in tomato.

Global warming poses a threat for crops, therefore, the identification of thermotolerance mechanisms is a priority. In plants, the core factors that regulate transcription under heat stress (HS) are well described and include several HS transcription factors (HSFs). Despite the relevance of alternative splicing in HS response and thermotolerance, the core regulators of HS-sensitive alternative splicing have not been identified. In tomato, alternative splicing of HSFA2 is important for acclimation to HS. Here, we show that several members of the serine/arginine-rich family of splicing factors (SRSFs) suppress HSFA2 intron splicing. Individual-nucleotide resolution UV cross-linking and immunoprecipitation (iCLIP) combined with RNA-Seq revealed that RS2Z35 and RS2Z36, which make up a plant-specific clade of SR proteins, not only regulate HSFA2 but approximately 50% of RNAs that undergo HS-sensitive alternative splicing, with preferential binding to purine-rich RNA motifs. Single and double CRISPR rs2z mutant lines show a dysregulation of splicing and exhibit lower basal and acquired thermotolerance compared to wild type plants. Our results suggest that RS2Z35 and RS2Z36 have a central role in mitigation of the negative effects of HS on RNA splicing homeostasis, and their emergence might have contributed to the increased capacity of plants to acclimate to high temperatures.

Analysis Total Phenolic Content of Chamomile Flower (Matricaria chamomilla) and Green Tea (Camellia sinensis) Kombucha with Spectrophotometry UV-Vis Method

Kombucha is a probiotic drink made from fermented tea. The basic ingredients for making kombucha can come from organic ingredients, such as chamomile flowers & green tea. Chamomile flowers (Matricaria chamomilla) and green tea (Camellia sinensis) are one type of plant that has phenolic content and is beneficial for the health of the body. Phenolic compounds are compounds that are found in many plants and play a role in producing natural plant antioxidants. This study aims to determine the phenolic content contained in chamomile kombucha and green tea. The method used is a quantitative test with UV-Visible spectrophotometry to determine phenolic levels. The results showed that the total phenolic content of chamomile flower kombucha was 35.41 mg/L GAE and green tea kombucha was 162.35 mg/L GAE. It can be concluded that the phenolic content of green tea kombucha is higher than chamomile flower kombucha.

Analysis of Phenolic Content in Green Tea Kombucha and Rosella (Hibiscus sabdariffa) Kombucha Using Spectrophotometer Uv-Vis

Phenolic compounds are compounds that have hydroxyl groups and are most abundant in plants. Green tea and rosella flowers are types of plants that contain phenolic compounds and can be used as ingredients to make kombucha tea drinks. Kombucha is a fermented drink made from tea and sugar which is fermented by a colony of bacteria and yeast. The aim of this research was to determine the levels of phenolic compounds in green tea kombucha and rosella flowers through experimental tests using spectrophotometry uv-vis. The results showed that the phenolic content of green tea kombucha was 162.35 mg/L GAE, while rosella kombucha had a level of 101.30 mg/L GAE. Thus, the phenolic content of green tea kombucha is higher compared to rosella kombucha.

Effect of Two Types of Wastewater Treatment Plants on Antibiotic Resistance of Fecal Coliform

Effect of Two Types of Wastewater Treatment Plants on Antibiotic Resistance of Fecal Coliform

Accumulation of Glomalin-Related Soil Protein Regulated by Plantation Types and Vertical Distribution of Soil Characteristics in Southern China

Accumulation of Glomalin-Related Soil Protein Regulated by Plantation Types and Vertical Distribution of Soil Characteristics in Southern China

Vitality behind desolation: Characteristics and succession process of plant communities in the Chongqing special steel plant brownfield

Phytoremediation is a sustainable way to clean contaminated urban soil, but selecting the right plants and designing communities is crucial. This study focuses on the vegetation in a disused steel plant in Chongqing, China, abandoned for nearly two decades. The goal is to reveal the plant community and succession patterns to inform the restoration of brownfield sites. This study combined the sample line and plot to investigate the vegetation and its growth environment in the Steel Plant. Information was recorded, including plant species, quantity, distribution, soil nutrients, humidity, and light. Cluster analysis categorized plant community types, and redundancy analysis examined the link between environmental conditions and plant types. The study found that: 1) There are 65 plant species (including 13 native trees) in the steel plant’s brownfield area, with Broussonetia papyrifera, Pteris vittata, and Debregeasia orientalis being the most abundant. The plants inside the plant were divided into seven groups based on species composition. 2) Soil moisture showed a significant positive correlation (Pearson index of 0.628) with plant survival, followed by a notable correlation with light intensity. 3) Environmental conditions partly influenced plant species composition and abundance variations. 4) 11 hyper-accumulating plant species were identified, focusing on three: the As hyper-accumulator Pteris vittata and the Cd hyper-accumulators Solanum nigrum and Debregeasia orientalis. The findings of this research will offer valuable insights for applying phytoremediation techniques in addressing contamination issues in brownfields within steel plants.

Soil depth and physicochemical properties influence microbial dynamics in the rhizosphere of two Peruvian superfood trees, cherimoya and lucuma, as shown by PacBio-HiFi sequencing

The characterization of soil microbial communities at different depths is essential to understand their impact on nutrient availability, soil fertility, plant growth and stress tolerance. We analyzed the microbial community at three depths (3 cm, 12 cm, and 30 cm) in the native fruit trees Annona cherimola (cherimoya) and Pouteria lucuma (lucuma), which provide fruits in vitamins, minerals, and antioxidants. We used PacBio-HiFi, a long-read high-throughput sequencing to explore the composition, diversity and putative functionality of rhizosphere bacterial communities at different soil depths. Bacterial diversity, encompassing various phyla, families, and genera, changed with depth. Notable differences were observed in the alpha diversity indices, especially the Shannon index. Beta diversity also varied based on plant type and depth. In cherimoya soils, positive correlations with Total Organic Carbon (TOC) and Cation Exchange Capacity (CEC) were observed, but negative ones with certain cations. In lucuma soils, indices like the Shannon index exhibited negative correlations with several metals and specific soil properties. We proposed that differences between the plant rhizosphere environments may explain the variance in their microbial diversity. This study provides insights into the microbial communities present at different soil depths, highlighting the prevalence of decomposer bacteria. Further research is necessary to elucidate their specific metabolic features and overall impact on crop growth and quality.

Pendampingan Tamanisasi: Upaya Meningkatkan Daya Tarik Bukit Tinatar sebagai Destinasi Wisata Alam

Tinatar Hill is a natural destination located in Sri Mulyo Village, Piyungan District, Bantul Regency, currently requiring management to increase its natural charm to attract more visitors. Pengelola Wisata Bukit Tinatar has synergized with the local community and the Srimulyo Village Government to make various breakthroughs to make Bukit Tinatar a natural tourist destination that is popular with tourists. However, the land on Tinatar Hill is less fertile, so during the dry season, this tourist area looks very barren and hot. Pengelola Wisata has reforested several plants that dry out and die during the dry season. Pengelola Wisata Bukit Tinatar also continues to improve by creating a main park that tourists can find before entering the hill area. However, Pengelola Wisata still encounter obstacles regarding the types of plants that suit the conditions of the barren land and their maintenance. Based on this background, this service activity aims to increase Pengelola Wisata' capacity to create the main park on Tinatar Hill through outreach and mentoring activities. Service is carried out in the form of counseling activities, assistance with ornamental plants, and assistance with garden maintenance. The result of this dedication is the creation of the main park and the Pengelola Wisata' ability to maintain the park, but in the long term, there is still a need for high awareness of caring for the park.

Occurrence, persistence, and removal of contaminants of emerging concern through drinking water treatment processes – A case study in South Africa

The presence of contaminants of emerging concern (CECs) in drinking water is a global issue of concern. Evidence galore of the potential impacts of CECs on human health, yet there are no concrete guidelines or regulatory oversight to effectively tackle CECs exposure from drinking water. As a result, CECs concentrations can be well-above the suggested thresholds, particularly in low and middle-income countries (LMICs) due to undeveloped or underdeveloped (waste)water treatment infrastructure and/or substandard treatment practices. Yet, CECs occurrence and particularly their persistence during drinking water treatment is not well-documented in such settings. For this reason, here, the occurrence of 19 CECs was monitored across the different treatment steps (coagulation, sedimentation, sand filtration, and chlorination) of a typical water treatment plant in South Africa using UPLC-MS/MS. The most dominant CEC was, by and large, efavirenz (1103.9 ± 743.1 ng/L in raw water) tracing back to antiretroviral treatment for the human immunodeficiency virus (HIV) and revealing unpleasant realities about the HIV epidemic crisis in Sub-Sahara Africa (Global South) and possible drug abuse for illicit drug (whoonga/nyaope) manufacturing. For the other examined CECs, their concentrations in drinking water were, from higher to lower score: 1,7 dimethylxanthine (403.3 ± 244.2 ng/L) ≥ emtricitabine (358.4 ± 250.8 ng/L) ≥ atrazine (227.0 ± 61.0 ng/L) ≥ caffeine (194.1 ± 216.5 ng/L) ≥ tramadol (189.5 ± 112.4 ng/L) ≥ carbamazepine (122.9 ± 24.5 ng/L) ≥ sulfamethoxazole (107.8 ± 55.1 ng/L) ≥ methaqualone (72.2 ± 20.5 ng/L) ≥ benzotriazole (61.2 ± 18.8 ng/L) ≥ trimethoprim (59.1 ± 30.4 ng/L) ≥ cetirizine (33.7 ± 19.6 ng/L) ≥ codeine (26.7 ± 57.2 ng/L) ≥ naproxen (25.7 ± 11.3 ng/L) ≥ venlafaxine (21.6 ± 16.3 ng/L) ≥ acetaminophen (17.7 ± 25.8 ng/L) ≥ benzoylecgonine (9.6 ± 5.1 ng/L) ≥ methamphetamine (8.6 ± 6.4 ng/L) ≥ diclofenac (5.2 ± 7.9 ng/L). The large standard deviations indicate the high temporal variations in CECs releases in freshwater. The silver lining is that in the final drinking water, CECs concentrations are greatly reduced, with percentage removals in the range of 9 % (diclofenac) to 75 % (efavirenz). Nonetheless, in LMICs tangible limits and regulatory frameworks for the effective removal of CECs from drinking water, along with more robust polishing techniques such as activated carbon treatment, are missing and should be introduced to avoid the worst effects of CECs exposure.

Simulation of red mud/phosphogypsum-based artificial soil engineering applications in vegetation restoration and ecological reconstruction

Red mud and phosphogypsum are two of the most typical bulk industrial solid wastes. How they can be efficiently recycled as resources on a large scale and at low costs has always been a global issue that urgently needs to be solved. By constructing a small-scale test site and preparing two types of artificial soils using red mud and phosphogypsum, this study simulated their engineering applications in vegetation restoration and ecological reconstruction. According to the results of this study, the artificial soils contained a series of major elements (e.g. O, Si, Al, Fe, Ca, Na, K, and Mg) similar to those in common natural soil, and preliminarily possessed basic physicochemical properties (pH, moisture, organic matter, and cation exchange capacity), main nutrient conditions (nitrogen, phosphorus and potassium), and biochemical characteristics that could meet the demands of plant growth. A total of 18 different types of adaptable plants (e.g. wood, herbs, flowers, succulents, etc) grew in the test sites, indicating that the artificial soils could be used for vegetation greening and landscaping. The preliminary formation of microbial (fungal and bacterial) community diversity and the gradually enriched arthropod community diversity reflected the constantly improving quality of the artificial soils, suggesting that they could be used for the gradual construction of artificial soil micro-ecosystems. Overall, the artificial soils provided a feasible solution for the large-scale, low-cost, and highly efficient synergistic disposal of red mud and phosphogypsum, with enormous potential for future engineering applications. They are expected to be used for vegetation greening, landscaping, and ecological environment improvement in tailings, collapse, and soil-deficient areas, as well as along municipal roads.

Occurrence and Favorable Enrichment Environment of Lithium in Gaoping Coal Measures: Evidence from Mineralogy and Geochemistry

The Carboniferous-Permian coal measure strata in the Qinshui Basin exhibit highly lithium (Li) enrichment, with substantial exploitation potential. To further explore the enrichment mechanism of lithium in coal measure strata, the No. 15 coal of the Taiyuan Formation from the Gaoping mine is taken as the research object, and its mineralogical and geochemistry characteristics are evaluated using optical microscopy, X-ray diffraction, scanning electron microscopy, inductively coupled plasma mass spectrometry, X-ray fluorescence, and infrared spectral. The results show that the No. 15 coal is semi-anthracite coal with low moisture, low ash, low volatility, and high sulfur. Organic macerals are primarily vitrinite, followed by inertinite, and liptinite is rare; the inorganic macerals (ash) are dominated by clay minerals (predominantly kaolinite, cookeite, illite, and NH4-illite), calcite, pyrite, quartz, siderite, gypsum, and zircon. The average Li content in the coal is 66.59 μg/g, with higher content in the coal parting (566.00 μg/g) and floor (396.00 μg/g). Lithium in coal occurs primarily in kaolinite, illite, cookeite, and is closely related to titanium-bearing minerals. In addition, Li in organic maceral may occur in liptinite. The No. 15 coal was formed in the coastal depositional system, and the deposition palaeoenvironment is primarily a wet–shallow water covered environment in open swamp facies; the plant tissue preservation index is poor, and aquatic or herbaceous plants dominate the plant type. The reducing environment with more terrestrial detritus, an arid climate, and strong hydrodynamic effects is favorable for Li enrichment in coal. The results have important theoretical significance for exploring the enrichment and metallogenic mechanisms of Li in coal.

Taxon‐specific response of natural enemies to different flower strip mixtures

Abstract Flower strips are a prominent agri‐environmental scheme with the central objective to promote biodiversity and maintain associated ecosystem services. The promotion of natural enemies by increasing resource availability through flower strips is a promising approach for integrated pest management. In a 3‐year field study, two annual and two perennial flower strip mixtures, as well as a grass mixture, were tested regarding their attractiveness for natural enemies at three different study sites in Germany. Natural enemies were sampled annually in nine sampling rounds at a 10‐day rhythm using sweep netting and pitfall traps. To assess available floral resources, we estimated the species‐specific flower cover and classified species into flower types. Flower strip mixtures differed in their attractiveness to natural enemies. Treatment effects on arthropod activity density were most pronounced in the second and third year. Overall, perennial were more attractive than annual flower strip mixtures for most natural enemies, however, the response to flower strip mixtures varied significantly among taxa. For example, perennial flower strips showed a two‐ to fourfold increase of plant‐dwelling spider and parasitoid wasp activity density as well as higher numbers of juvenile stages of predatory bugs and rove beetles compared to annual flower strips. In contrast, annual flower strip mixtures showed the highest attractiveness for ground beetles. Moreover, different natural enemy taxa were associated with varying flower strip characteristics such as flower type proportion, herbivore availability and plant species richness. Synthesis and applications. We found taxon‐specific responses of natural enemies to different flower strips, which provide guidance for the floral composition of flower strips in order to maximize their effectiveness for natural pest control. We suggest the use of perennial mixtures with high proportion of flower heads (Asteraceae) and disk flowers (esp. Apiaceae, Rubiaceae, Brassicaceae) in particular, but also flag blossoms (Fabaceae) as these flower types were positively associated with several natural enemy groups. However, since we found mixed responses to flower types, specific flower strip composition will ultimately depends on its objective.

Sustainable carbon retention from water input to wetlands at two temporal scales

Wetlands retain carbon from flowing water through biomass accumulation and deposition processes. However, the contributions of accumulated carbon from water to carbon storage and cycling in wetland ecosystems remain unclear. Moreover, there are no comprehensive estimates of the stability and sustainability of wetland performance in retention of carbon from water on different time scales. We conducted a meta-analysis (2889 paired observations) to estimate the stability and sustainability of constructed wetlands in retention of carbon from input water on short and long time scales. This study showed that the efficiency of carbon retention from water in wetlands significantly increased on short time scales, whereas it remained stable on long time scales and among different seasons. The usage of grave, alum sludge and all types of plant had higher effect sizes on short-term wetland water carbon retention, but the long-term stability of water carbon retention was not affected by substrates or plant types. Variations in precipitation as well as air temperature affected the short-term water carbon retention in wetlands, but they did not affect long-term water carbon retention in wetlands. However, on long time scale, the stability of water carbon retention in wetlands was challenged by operation time, low water temperature and high hydraulic load rate, which posed a threat to the sustainability of wetland performance in water carbon retention. In summary, this study demonstrated the stability and sustainability of carbon retention from water and proved the contribution of accumulated carbon from water to the carbon pool in wetland ecosystems.

Optimization and Tradeoff Analysis for Multiple Configurations of Bio-Energy with Carbon Capture and Storage Systems in Brazilian Sugarcane Ethanol Sector.

Bio-energy systems with carbon capture and storage (BECCS) will be essential if countries are to meet the gas emission reduction targets established in the 2015 Paris Agreement. This study seeks to carry out a thermodynamic optimization and analysis of a BECCS technology for a typical Brazilian cogeneration plant. To maximize generated net electrical energy (MWe) and carbon dioxide CO2 capture (Mt/year), this study evaluated six cogeneration systems integrated with a chemical absorption process using MEA. A key performance indicator (gCO2/kWh) was also evaluated. The set of optimal solutions shows that the single regenerator configuration (REG1) resulted in more CO2 capture (51.9% of all CO2 emissions generated by the plant), penalized by 14.9% in the electrical plant's efficiency. On the other hand, the reheated configuration with three regenerators (Reheat3) was less power-penalized (7.41%) but had a lower CO2 capture rate (36.3%). Results showed that if the CO2 capture rates would be higher than 51.9%, the cogeneration system would reach a higher specific emission (gCO2/kWh) than the cogeneration base plant without a carbon capture system, which implies that low capture rates (<51%) in the CCS system guarantee an overall net reduction in greenhouse gas emissions in sugarcane plants for power and ethanol production.