Integrated Weed Management in Sunflower Using a Hybrid Mixture and Reduced Herbicide Dose

Deleted Journal, Journal Year: 2025, Volume and Issue: 77(1)

Published: Jan. 3, 2025

Herbicides have been the primary tool for weed management to ensure food security a growing global population. However, excessive herbicide use raises concerns about environmental contamination, developing herbicide-resistant weeds, and potential human health risks. This necessitates exploration of ecologically sustainable practices in agriculture. The present study explored inter-field biodiversity (by sunflower hybrid mixture) reduce competitiveness along with reduced dose usage. experiment was conducted at Agronomic Research Area, University Agriculture, Faisalabad, autumn seasons 2022 2023 under randomized complete block design (factorial arrangement). experimental factors consisted mixture (FH-701 FH-648) monocultures each individual hybrids incremental doses lactofen quizalofop-p-ethyl as tank mixture. recommended herbicides usage caused impressive biomass reduction (81–83%) than monoculture (72–80%). Notably, maintained satisfactory suppression (up 75%) even 75% label (Lactofen: 135 g a.i. ha−1, quizalofop-p-ethyl: 281.25 ha−1). demonstrated strong yield performance, (83% control), similar monoculture. Importantly, statistically (2.29–2.36 t ha−1) dose. economic advantage confirmed by consistently high benefit-to-cost ratio, ranging up 1.62, exceeding that full application. These findings suggest offers promising approach effective weed, maintaining yield, promoting economically production reliance on herbicides.

Language: Английский

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The Exploitation of Nanotechnology in Herbicides and Bioherbicides: A Novel Approach for Sustainable Weed Management

Agronomy, Journal Year: 2025, Volume and Issue: 15(1), P. 228 - 228

Published: Jan. 17, 2025

The growing global demand for food security requires a paradigm shift towards sustainable agricultural practices, particularly in weed management. Nanotechnology is emerging agriculture as useful tool to reduce the dosage and negative effects of herbicides on one side improve bioherbicides efficiency other side. This review provides an in-depth analysis literature available topic, with particular reference main characteristics nanoparticles control nanoformulations bioherbicides. Nanoformulations such nanoemulsions, nanocapsules, nanospheres, silver organic materials protect active ingredients from environmental degradation enable their controlled release, enhance foliar adhesion facilitate penetration into plant tissues while at same time minimizing off-target effects. last paragraph reviews recent advancements field nanobioherbicides. Moreover, examples nanoherbicide nanobioherbicide application laboratory, greenhouse conditions are collected discussed. highlights increasing diffusion nanoherbicides nanobioherbicides, suggesting introduction integrated management strategies. However, further research still required assess effectiveness under natural conditions, stability over study bioaccumulation toxicity toward non-target organisms.

Language: Английский

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Assessment of the xenobiotic effects of 2,4-dichlorophenoxyacetic acid + 2-methyl-4-chlorophenoxyacetic acid and bromoxynil + 2-methyl-4-chlorophenoxyacetic acid herbicides in wheat

Acta Physiologiae Plantarum, Journal Year: 2025, Volume and Issue: 47(2)

Published: Jan. 23, 2025

Language: Английский

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Performance Evaluation of Modified YOLOv5 Object Detectors for Crop-Weed Classification and Detection in Agriculture Images

SN Computer Science, Journal Year: 2025, Volume and Issue: 6(2)

Published: Jan. 30, 2025

Language: Английский

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Maize cultivar mixtures: a sustainable approach for weed management under reduced herbicide dose

Phytoparasitica, Journal Year: 2025, Volume and Issue: 53(2)

Published: Feb. 14, 2025

Language: Английский

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YOLOv8 Model for Weed Detection in Wheat Fields Based on a Visual Converter and Multi-Scale Feature Fusion

Sensors, Journal Year: 2024, Volume and Issue: 24(13), P. 4379 - 4379

Published: July 5, 2024

Accurate weed detection is essential for the precise control of weeds in wheat fields, but and are sheltered from each other, there no clear size specification, making it difficult to accurately detect wheat. To achieve identification weeds, datasets were constructed, a field model, YOLOv8-MBM, based on improved YOLOv8s, was proposed. In this study, lightweight visual converter (MobileViTv3) introduced into C2f module enhance accuracy model by integrating input, local (CNN), global (ViT) features. Secondly, bidirectional feature pyramid network (BiFPN) performance multi-scale fusion. Furthermore, address weak generalization slow convergence speed CIoU loss function tasks, bounding box regression (MPDIOU) used instead improve further performance. Finally, tested datasets. The experiments show that YOLOv8-MBM proposed paper superior Fast R-CNN, YOLOv3, YOLOv4-tiny, YOLOv5s, YOLOv7, YOLOv9, other mainstream models regards reaches 92.7%. Compared with original YOLOv8s precision, recall, mAP1, mAP2 increased 10.6%, 8.9%, 9.7%, 9.3%, respectively. summary, successfully meets requirements accurate fields.

Language: Английский

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Integrated Weed Management: A Comprehensive Review of Conventional, Non-Conventional, and Emerging Strategies for Sustainable Agriculture

Journal of Advances in Biology & Biotechnology, Journal Year: 2024, Volume and Issue: 27(8), P. 156 - 167

Published: July 15, 2024

This manuscript comprehensively reviews integrated weed management (IWM) strategies, emphasizing the need for sustainable agricultural practices. It explores conventional methods, such as herbicide and mechanical control, non-conventional techniques, including mulching, cover crops, thermal methods. The review also delves into emerging technologies like precision agriculture, genomic approaches, robotic control. discussion is framed around five pillars of IWM: diverse cropping systems, cultivar selection, field soil management, direct monitoring evaluation. Environmental socioeconomic impacts are considered, highlighting a new paradigm that integrates control tactics to enhance resilience sustainability.

Language: Английский

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Duckweed-Based Optical Biosensor for Herbicide Toxicity Assessment

Biosensors and Bioelectronics, Journal Year: 2024, Volume and Issue: 267, P. 116739 - 116739

Published: Sept. 7, 2024

Language: Английский

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Ginger Phytotoxicity: Potential Efficacy of Extracts, Metabolites and Derivatives for Weed Control

Agronomy, Journal Year: 2024, Volume and Issue: 14(10), P. 2353 - 2353

Published: Oct. 12, 2024

The negative implications for weeds encourage the finding of novel sources phytotoxic agents sustainable management. While traditional herbicides are effective, especially at large scales, environmental impact and proliferation resistant biotypes present major challenges that natural could mitigate. In this study, potential ginger metabolites as has been investigated first time. Root extracts, prepared via various extraction techniques, showed phytotoxicity in wheat (Triticum aestivum L. cv. Burgos) coleoptile bioassays 800–100 ppm, most active extract (prepared by sonication with ethyl acetate) was purified chromatographic methods, yielding seven compounds: five phenolic gingerol shogaol structures, β-sitosterol, linoleic acid. Some metabolites, [6]-shogaol [6]-gingerol, exerted on coleoptiles, Plantago lanceolata Portulaca oleracea (broadleaf dicotyledon weeds). This promoted study a collection derivatives, revealing 5-methoxy, oxime, acetylated derivatives [6]-gingerol had interesting phytotoxicities, providing clues improving stability isolated structures. Ginger roots have demonstrated to be promising source bioactive weed control, offering materials development agrochemicals based products.

Language: Английский

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The role of process parameters on photooxidative degradation of 2,4-D herbicide using TiO2 nanoparticles: Kinetic and mechanistic study

Journal of Photochemistry and Photobiology A Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 116120 - 116120

Published: Oct. 1, 2024

Language: Английский

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