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15 pages, 2085 KiB  
Article
Impacts of Weed Resistance to Glyphosate on Herbicide Commercialization in Brazil
by Sergio de Oliveira Procópio, Robson Rolland Monticelli Barizon, Ricardo Antônio Almeida Pazianotto, Marcelo Augusto Boechat Morandi and Guilherme Braga Pereira Braz
Agriculture 2024, 14(12), 2315; https://doi.org/10.3390/agriculture14122315 - 17 Dec 2024
Viewed by 3
Abstract
Herbicides are essential tools for the phytosanitary security of agricultural areas, but their excessive use can cause problems in agricultural production systems and have negative impacts on human health and the environment. The objective of this study was to present and discuss the [...] Read more.
Herbicides are essential tools for the phytosanitary security of agricultural areas, but their excessive use can cause problems in agricultural production systems and have negative impacts on human health and the environment. The objective of this study was to present and discuss the main causes behind the increase in herbicide commercialization in Brazil between 2010 and 2020. Data from the Brazilian pesticide database, provided by the Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (IBAMA), were used. In 2010 and 2020, Brazil sold 157,512 and 329,697 tons of herbicide active ingredients, respectively, representing a 128.1% increase in commercialization over 11 years. Some herbicides, such as clethodim, haloxyfop-methyl, triclopyr, glufosinate, 2,4-D, diclosulam, and flumioxazin, showed increases in sales volumes between 2010 and 2020 of 2672.8%, 896.9%, 953.5%, 290.2%, 233.8%, 561.3%, and 531.6%, respectively, percentages far exceeding the expansion of Brazil’s agricultural area. The primary reason for this sharp increase in herbicide sales was the worsening cases of weeds resistant and tolerant to glyphosate, with species such as Conyza spp., Amaranthus spp., Digitaria insularis, and Eleusine indica standing out. This situation created the necessity of the use of additional herbicides to achieve effective chemical control of these weed species. Full article
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<p>Sales of 2,4-D (tons of a.e.) from 2010 to 2020 (<b>A</b>). Evolution of herbicide sales in relation to the year 2010, compared to the evolution of soybean area (IBGE), the area of agriculture designated for harvesting (annual and perennial) (IBGE), and the area cultivated with pastures without degradation (LAPIG/UFG) (<b>B</b>). Number of formulated products based on 2,4-D sold in Brazil (<b>C</b>) (period from 2010 to 2020).</p>
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<p>Sales of triclopyr (tons of a.e.) from 2010 to 2020 (<b>A</b>). Evolution of the commercialization of herbicide in relation to the year 2010, compared to the evolution of the soybean area (IBGE), the area of agriculture intended for harvest (temporary and permanent) (IBGE), and the area cultivated with pastures showing no degradation (LAPIG/UFG) (<b>B</b>). Number of formulated products based on triclopyr marketed in Brazil (<b>C</b>) (period from 2010 to 2020).</p>
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<p>Sales of haloxyfop-methyl, clethodim, and glufosinate (tons of a.i./a.e.) (<b>A</b>). Evolution of the commercialization of herbicides in relation to the year 2010, compared to the evolution of the soybean area (IBGE) and the area of agriculture intended for harvest (temporary and permanent) (IBGE) (<b>B</b>). Sales data for haloxyfop-methyl are presented in effective ingredients.</p>
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<p>Number of formulated products based on haloxyfop-methyl (<b>A</b>), clethodim (<b>B</b>), and glufosinate (<b>C</b>) marketed in Brazil, subdivided by products containing only the active ingredient (isolated) or pre-formulated mixtures containing the respective herbicides (period from 2010 to 2020).</p>
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<p>Sales of diclosulam and flumioxazin (tons of a.i.) (<b>A</b>). Evolution of herbicide sales compared to the year 2010, alongside the evolution of soybean area (IBGE) and the area of agriculture designated for harvest (temporary and permanent) (IBGE) (<b>B</b>).</p>
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<p>Number of formulated products based on diclosulam (<b>A</b>) and flumioxazin (<b>B</b>) marketed in Brazil, subdivided by products containing only the active ingredient (isolated) or pre-formulated mixtures containing the respective herbicides (period from 2010 to 2020).</p>
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18 pages, 3661 KiB  
Review
Does Microplastic Contamination in Agricultural Soils Decrease the Efficiency of Herbicides for Weed Control?
by Maura Gabriela da Silva Brochado, Iara Barbosa Magalhães, Júlia Martins Soares, Alessandro da Costa Lima, Laura Bordignon, Allana Grecco Guedes, Mariana Ramírez Castillo and Kassio Ferreira Mendes
Microplastics 2024, 3(4), 771-788; https://doi.org/10.3390/microplastics3040048 - 17 Dec 2024
Viewed by 104
Abstract
The contamination of agricultural soils by microplastics (MPs) has significant implications for herbicide efficacy and soil health. This study investigates the effects of MPs on critical processes such as the sorption, desorption, and degradation of herbicides, highlighting their influence on these compounds’ mobility, [...] Read more.
The contamination of agricultural soils by microplastics (MPs) has significant implications for herbicide efficacy and soil health. This study investigates the effects of MPs on critical processes such as the sorption, desorption, and degradation of herbicides, highlighting their influence on these compounds’ mobility, persistence, and bioavailability. MPs interact with herbicides through sorption mechanisms, often reducing the availability of these compounds for weed control by retaining them on their surfaces. This sorption not only limits the immediate efficacy of herbicides but also alters their desorption process, resulting in a prolonged release into the soil environment. Additionally, MPs can inhibit microbial activity involved in herbicide degradation, increasing the time degradation of the half-life of these substances and extending their persistence in the environment. These processes collectively enhance the risks of bioaccumulation and environmental contamination. Understanding these interactions is essential for developing strategies to mitigate the impacts of MPs on herbicide performance and promote sustainable agricultural practices. Full article
(This article belongs to the Collection Current Opinion in Microplastics)
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<p>Contamination of arable soils by microplastics (MPs) and their interactions with the behavior and efficacy of herbicides. Source: Adapted from Zhang et al. [<a href="#B29-microplastics-03-00048" class="html-bibr">29</a>]; Nobre et al. [<a href="#B30-microplastics-03-00048" class="html-bibr">30</a>]; Wang et al. [<a href="#B31-microplastics-03-00048" class="html-bibr">31</a>]; and Ni et al. [<a href="#B26-microplastics-03-00048" class="html-bibr">26</a>].</p>
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<p>Annual publications on microplastics indexed in Scopus and Web of Science.</p>
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<p>Main research areas by number of publications on microplastics (MPs) indexed in Scopus and Web of Science (WoS).</p>
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<p>Distribution of publications on microplastics (MPs) worldwide according to the Scopus database.</p>
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<p>Annual publications on microplastics (MPs) and herbicide interaction indexed in Scopus and Web of Science (WoS).</p>
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<p>Soil properties affected by the presence of microplastics (MPs).</p>
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<p>Interaction mechanisms between MPs and herbicides in soils. K<sub>ow</sub>: octanol–water partition coefficient; S<sub>w</sub>: water solubility; K<sub>d</sub>: distribution coefficient; pK<sub>a</sub>: acid dissociation constant; pK<sub>b</sub>: base dissociation constant. Source: Adapted from Wang et al. [<a href="#B23-microplastics-03-00048" class="html-bibr">23</a>].</p>
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30 pages, 5568 KiB  
Article
Modeling the Herbicide-Resistance Evolution in Lolium rigidum (Gaud.) Populations at the Landscape Scale
by Lucia Gonzalez-Diaz, Irene Gonzalez-Garcia and Jose L. Gonzalez-Andujar
Agronomy 2024, 14(12), 2990; https://doi.org/10.3390/agronomy14122990 - 16 Dec 2024
Viewed by 218
Abstract
The repeated application of herbicides has led to the development of herbicide resistance. Models are useful for identifying key processes and understanding the evolution of resistance. This study developed a spatially explicit model at a landscape scale to examine the dynamics of Lolium [...] Read more.
The repeated application of herbicides has led to the development of herbicide resistance. Models are useful for identifying key processes and understanding the evolution of resistance. This study developed a spatially explicit model at a landscape scale to examine the dynamics of Lolium rigidum populations in dryland cereal crops and the evolution of herbicide resistance under various management strategies. Resistance evolved rapidly under repeated herbicide use, driven by weed fecundity and herbicide efficacy. Although fitness costs associated with resistant plants reduced the resistance evolution, they did not affect the speed of its spread. The most effective strategies for slow resistance involved diversifying cropping sequences and herbicide applications. Pollen flow was the main dispersal vector, with seed dispersal also making a significant contribution. Strategies limiting seed dispersal effectively decreased resistance spread. However, the use of a seed-catching device at harvest could unintentionally enrich resistance in the area. It would be beneficial to optimize the movement of harvesters between fields. The model presented here is a useful tool that could assist in the exploration of novel management strategies within the context of site-specific weed management at landscape scale as well as in the advancement of our understanding of resistance dynamics. Full article
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<p>An example of the randomized field-size classes distribution over the landscape.</p>
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<p>Model diagram of the weed life cycle and the gene flow submodels for a depth-structured seed bank in a cereal cropping season. The state variables for the weed life cycle submodel are the seed bank, <span class="html-italic">SB</span>; seedlings, <span class="html-italic">SL</span>; adult plants, <span class="html-italic">AD</span>; and seed rain, <span class="html-italic">SR</span>. Other variables participating in the gene flow submodel are seeds imported and exported by the harvester, <span class="html-italic">IS</span> and <span class="html-italic">ES</span>; seeds contaminating the crop grain at harvest time, <span class="html-italic">CG</span>; seeding density at crop seeding time, <span class="html-italic">CCG</span>; seeds caught by seed catcher, <span class="html-italic">SC</span>; and the frequency of the resistance alleles in the pollen cloud, <span class="html-italic">p<sub>po</sub></span> and <span class="html-italic">q<sub>po</sub></span>. The model’s constants are the seed interchange fraction between the three soil layers for each tillage plowing, <span class="html-italic">t</span><sub>1</sub>, <span class="html-italic">t</span><sub>2</sub>, and <span class="html-italic">t</span><sub>3</sub>; the structured germination fraction, <span class="html-italic">g</span>, of each cohort, <span class="html-italic">c</span>; the natural seed bank mortality fraction, <span class="html-italic">m</span>; the seedling survival fraction following the tillage operation, <span class="html-italic">s</span>; the seed bank predation fraction, <span class="html-italic">d</span>; the survival fraction following the control exerted by the herbicide application, <span class="html-italic">h</span>; the natural seedling survival fraction, <span class="html-italic">v</span>; the mutation rate, <span class="html-italic">k</span>; and the potential fecundity of an isolated plant, <span class="html-italic">f</span>.</p>
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<p>Growth rate of the phenotype frequency of the herbicide-resistant <span class="html-italic">L. rigidum</span> population across the entire landscape.</p>
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<p>Growth rate of the phenotype frequency of the herbicide-resistant <span class="html-italic">L. rigidum</span> seed bank across the entire landscape and for different cropping systems.</p>
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<p>Spread of the resistance over the landscape.</p>
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<p>Spread of the resistance over the landscape at 1, 4, 6, and 8 years. Each level of resistance is specified in different color in the pictures, where SB<sub>AA</sub>, SB<sub>aA</sub>, and SB are the homozygous resistant, the heterozygous resistant, and the total seed bank (SB = SB<sub>AA</sub> + SB<sub>aA</sub> + SB<sub>aa</sub>), respectively.</p>
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<p>Weed seed bank in the individual strategies simulated EST1 to EST5 (<b>A</b>) and in the combinations of all the individual strategies simulated from EST6 to EST16 (<b>B</b>) to control the herbicide resistance with respect to the reference conditions (EST0). Some strategies underlie one another in the two graphics (meaning of abbreviations given in <a href="#agronomy-14-02990-t003" class="html-table">Table 3</a>).</p>
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<p>Weed seed bank in the individual strategies simulated EST1 to EST5 (<b>A</b>) and in the combinations of all the individual strategies simulated from EST6 to EST16 (<b>B</b>) to control the herbicide resistance with respect to the reference conditions (EST0). Some strategies underlie one another in the two graphics (meaning of abbreviations given in <a href="#agronomy-14-02990-t003" class="html-table">Table 3</a>).</p>
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<p>The phenotype frequency of herbicide resistance in the individual strategies simulated from EST1 to EST5 (<b>A</b>) and in the combinations of all the individual strategies simulated from EST6 to EST16 (<b>B</b>) to control herbicide resistance with respect to the reference conditions (EST0). Some strategies underlie one another in the two graphics (meaning of abbreviations given in <a href="#agronomy-14-02990-t003" class="html-table">Table 3</a>).</p>
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<p>The cells occupied by an herbicide-resistant population in the individual strategies simulated from EST1 to EST5 (<b>a</b>) and in the combinations of all the individual strategies simulated from EST6 to EST16 (<b>b</b>) to control the herbicide resistance with respect to the reference conditions (EST0). Some strategies underlie one another in the two graphics (meaning of abbreviations given in <a href="#agronomy-14-02990-t003" class="html-table">Table 3</a>).</p>
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<p>Herbicide resistance spread over the landscape (<b>A</b>) and the distance of the infested area from the resistance focus (<b>B</b>) for the individual dispersal sources of gene flow (harvester, weed-contaminated crop seeding, and pollen flow). Vertical bars indicate the ranges of variation.</p>
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<p>Herbicide resistance spread over the landscape (<b>A</b>) and the distance of the infested area from the resistance focus (<b>B</b>) for the individual dispersal sources of gene flow (harvester, weed-contaminated crop seeding, and pollen flow). Vertical bars indicate the ranges of variation.</p>
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<p>The sensitivity analysis of the model for the quantitative parameters evaluated according to the conditions specified in EST0 and for two of the outputs analyzed: the years to resistance evolution across the entire landscape (<b>A</b>) and the years to resistance evolution in half of the landscape (<b>B</b>). The minimum value of the potential fecundity is no shown because the herbicide resistance did not evolve in the weed population at the landscape scale in the 20-year simulation time.</p>
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<p>The sensitivity analysis of the model for parameters (<b>A</b>) and modules (<b>B</b>) evaluated according to the conditions specified in <a href="#sec2dot8dot3-agronomy-14-02990" class="html-sec">Section 2.8.3</a>.</p>
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12 pages, 1147 KiB  
Article
Effects of Aqueous Extracts of Lantana camara L. on Germination of Setaria viridis (L.) P.Beauv. Seeds with Different Degrees of Dormancy
by Marcelly Eduarda da Cunha Lázaro-dos-Santos, Nadine Tonelli Cavalari, Everson dos Santos Ribeiro, Henrique Henning Boyd da Cunha, Livia Marques Casanova, Fernanda Reinert, Bianca Ortiz-Silva and Luana Beatriz dos Santos Nascimento
Seeds 2024, 3(4), 677-688; https://doi.org/10.3390/seeds3040044 - 16 Dec 2024
Viewed by 166
Abstract
Setaria viridis (green foxtail) is an invasive weed species in various agricultural systems, prompting the search for effective compounds to control its germination. The species has primary and secondary dormancy depending on the time elapsed since post-harvesting, making management strategies more difficult. Several [...] Read more.
Setaria viridis (green foxtail) is an invasive weed species in various agricultural systems, prompting the search for effective compounds to control its germination. The species has primary and secondary dormancy depending on the time elapsed since post-harvesting, making management strategies more difficult. Several weed plants, such as Lantana camara L., can be a source of allelochemicals with herbicidal effects, being a potential candidate for the control of S. viridis. We investigated the effects of L. camara extracts on the germination and initial growth of S. viridis seeds with different degrees of dormancy and revealed a dose-dependent bioherbicide effect. Aqueous extracts of L. camara were analyzed by HPLC-DAD and applied (0.1 to 5.0 mg/mL) to 12- and 110-day post-harvest S. viridis seeds. Seeds were evaluated daily and germination percentage (GP), speed germination index (SGI), and radicle length (RL) were calculated. Phenolic acids and flavonoids were major components of the extract. Lower concentrations (0.1 and 0.5 mg/mL) stimulated and accelerated the germination of S. viridis, breaking its dormancy. Both 1.0 and 5.0 mg/mL concentrations hindered germination, especially in 12 dph seeds. The 1.0 mg/mL concentration resulted in longer roots, whereas 5.0 mg/mL inhibited root development. Lantana camara extracts potentially stimulate germination and radicle growth of S. viridis at low concentrations while inhibiting these parameters at higher doses. These results may open new possibilities for using L. camara in weed-control strategies. Full article
(This article belongs to the Special Issue Seed Germination Ecophysiology of Invasive Species)
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<p>Effects of <span class="html-italic">L. camara</span> aqueous extracts on the germination rate of <span class="html-italic">S. viridis</span> seeds. (<b>a</b>) 12 dph seeds; (<b>b</b>) 110 dph seeds. Values are represented as means and the bars represent the standard deviation. Different letters indicate values that differ significantly at <span class="html-italic">p &lt;</span> 0.05, according to One-way ANOVA, followed by the Holm-Sidak test.</p>
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<p>Effects of <span class="html-italic">L. camara</span> aqueous extracts on germination speed index—GSI: (<b>a</b>) 12 dph seeds; (<b>b</b>) 110 dph seeds. Different letters indicate values that differ significantly at <span class="html-italic">p</span> &lt; 0.05, according to One-way ANOVA, followed by the Holm–Sidak test.</p>
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<p>Effects of <span class="html-italic">L. camara</span> aqueous extract on root length. (<b>a</b>) 12 dph seeds; (<b>b</b>) 110 dph seeds. Different letters indicate values that differ significantly at <span class="html-italic">p</span> ≤ 0.05, according to One-way ANOVA, followed by the Holm–Sidak test.</p>
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16 pages, 2512 KiB  
Article
The Design of a Controlled-Release Polymer of a Phytopharmaceutical Agent: A Study on the Release in Different PH Environments Using the Ultrafiltration Technique
by Oscar G. Marambio, Alejandro Muñoz, Rudy Martin-Trasancos, Julio Sánchez and Guadalupe del C. Pizarro
Polymers 2024, 16(24), 3492; https://doi.org/10.3390/polym16243492 - 14 Dec 2024
Viewed by 338
Abstract
A series of hydrophilic copolymers were prepared using 2-hydroxyethyl methacrylate (HEMA) and itaconic acid (IA) from free radical polymerization at different feed monomer ratios using ammonium persulfate (APS) initiators in water at 70 °C. The herbicide 2,4-dichlorophenoxy acetic acid (2,4-D) was grafted to [...] Read more.
A series of hydrophilic copolymers were prepared using 2-hydroxyethyl methacrylate (HEMA) and itaconic acid (IA) from free radical polymerization at different feed monomer ratios using ammonium persulfate (APS) initiators in water at 70 °C. The herbicide 2,4-dichlorophenoxy acetic acid (2,4-D) was grafted to Poly(HEMA-co-IA) by a condensation reaction. The hydrolysis of the polymeric release system, Poly(HEMA-co-IA)-2,4-D, demonstrated that the release of the herbicide in an aqueous phase depends on the polymeric system’s pH value and hydrophilic character. In addition, the swelling behavior (Wt%) was studied at different pH values using Liquid-phase Polymer Retention (LPR) in an ultrafiltration system. The acid hydrolysis of the herbicide from the conjugates follows a first-order kinetic, showing higher kinetic constants as the pH increases. The base-catalyzed hydrolysis reaction of the herbicide follows a zero-order kinetic, where the basic medium acts as a catalyst, accelerating the release rate of the herbicide and showing higher kinetic constants as the pH increases. The differences in the release rates found for the hydrogel herbicide at different pH values can be correlated with the difference in their swelling capacity, where the release rate generally increases with an increase in the swelling capacity from water solution at higher pH values. The study of the release process revealed that all samples in distilled water at a pH of 10 are representative of agricultural systems. It showed first-order swelling kinetics and an absorption capacity that conforms to the parameters for hydrogels for agricultural applications, which supports their potential for these purposes. Full article
(This article belongs to the Special Issue Advanced Polymer Materials: Synthesis, Structure, and Properties)
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Graphical abstract
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<p>Synthetic route of the synthesis of the Poly(HEMA-co-IA) matrix.</p>
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<p>Synthetic route of the esterification reaction of the Poly (HEMA-co-IA) -2,4- conjugate.</p>
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<p>(<b>a</b>) UV-Vis spectrum of 2,4-D in CHCl<sub>3</sub>. (<b>b</b>) Calibration curve of herbicide 2,4-D.</p>
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<p>(<b>a</b>) <sup>1</sup>H NMR spectrum of Poly (HEMA-co-IA) matrix and (<b>b</b>) Poly (HEMA-co-IA)-2,4D conjugate.</p>
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<p>(<b>a</b>) Infrared spectra of P(HEMA-co-AI) matrix and (<b>b</b>) P(HEMA-co-AI) grafted with 2.4-D for a copolymer composition of 3.0:1.0.</p>
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<p>The swelling capacity of poly(HEMA-co-IA) hydrogel with a copolymer composition of 75:25 mol-% was studied as a function of pH in buffered solutions at pH values of 3, 5.4, and 10 at room temperature (25 °C). Inserted images (<b>a</b>–<b>c</b>) of the hydrogel dry, at pH 5.4 and 10.</p>
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<p>Release curves of herbicide using the P(HEMA-co-IA)-2,4-D hydrogel at different pH values.</p>
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13 pages, 3992 KiB  
Article
Utilizing the Fungal Bicistronic System for Multi-Gene Expression to Generate Insect-Resistant and Herbicide-Tolerant Maize
by Yuxiao Chen, Wenjie Lv, Qun Yue, Ning Wen, Yinxiao Wang, Zhihong Lang, Wei Xu and Shengyan Li
Int. J. Mol. Sci. 2024, 25(24), 13408; https://doi.org/10.3390/ijms252413408 - 14 Dec 2024
Viewed by 252
Abstract
Developing simple and efficient multi-gene expression systems is crucial for multi-trait improvement or bioproduction in transgenic plants. In previous research, an IGG6-based bicistronic system from the nonpathogenic fungus Glarea lozoyensis efficiently expressed multiple enzyme proteins in yeast and maize, and the heterologous [...] Read more.
Developing simple and efficient multi-gene expression systems is crucial for multi-trait improvement or bioproduction in transgenic plants. In previous research, an IGG6-based bicistronic system from the nonpathogenic fungus Glarea lozoyensis efficiently expressed multiple enzyme proteins in yeast and maize, and the heterologous enzymes successfully performed their catalytic activity to reconstruct the biosynthetic pathway in the host organism. Unlike enzyme proteins, some heterologous functional proteins (such as insecticidal proteins) are dose-dependent and they need to express sufficient levels to perform their biological functions. It remains unclear whether the IGG6-based bicistronic system can achieve high expression of the functional proteins for practical applications in crops. In this study, two Bacillus thuringiensis (Bt) insecticidal genes, vip3Aa and cry1Ab, were linked via IGG6 to form a bicistron, while two glyphosate resistance genes, gr79epsps and gat, served as monocistronic selectable marker genes. Regenerated maize plants were produced through genetic transformation. RNA and immunoblot analyses revealed that the vip3Aa-IGG6-cry1Ab bicistron was transcribed as a single transcript, which was then translated into two separate proteins. Notably, the transcription and translation of cry1Ab were significantly positively correlated with those of vip3Aa. Through ELISA and leaf bioassay, we identified two transgenic maize lines, VICGG-15 and VICGG-20, that exhibited high insecticidal activity against fall armyworm (FAW; Spodoptera frugiperda) and Asian corn borer (ACB; Ostrinia furnacalis), both of which had high expression of Vip3Aa and Cry1Ab proteins. Subsequent evaluations, including silk, ear, and field bioassays, as well as glyphosate tolerance assessments, indicated that the VICGG-15 plants displayed high resistance to FAW and ACB, and could tolerate up to 3600 g acid equivalent (a.e.) glyphosate per hectare without adversely affecting phenotype or yield. Our finding established that the IGG6-based bicistronic system can achieve high expression of functional proteins in maize, and it is a potential candidate for multi-gene assembly and expression in plants. Full article
(This article belongs to the Special Issue New Insights into Plants and Insects Interactions)
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<p>PCR screening of regenerated maize plants. (<b>A</b>) Schematic diagram of the maize genetic transformation constructs VICGG. The glyphosate resistance genes <span class="html-italic">gat</span> and <span class="html-italic">gr79-epsps</span> were used as selected marker genes for maize transformation. The black arrow represents the primer position. (<b>B</b>) PCR analysis of the <span class="html-italic">vip3Aa</span>, <span class="html-italic">cry1Ab</span>, <span class="html-italic">gr79,</span> and <span class="html-italic">gat</span> genes in corresponding transgenic maize plants.</p>
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<p>Correlation between <span class="html-italic">cry1Ab</span> and <span class="html-italic">vip3Aa</span>, as well as <span class="html-italic">gat</span> and <span class="html-italic">gr79</span>, at the transcription and translation levels in the 18 VICGG transgenic maize lines. (<b>A</b>,<b>B</b>) Correlation between <span class="html-italic">cry1Ab</span> and <span class="html-italic">vip3Aa</span> at the transcription and translation levels. (<b>C</b>,<b>D</b>) Correlation between <span class="html-italic">gat</span> and <span class="html-italic">gr79</span> at the transcription and translation levels. All data were presented as the mean of three biological replicates. Pearson’s correlation coefficients and their statistical significance were determined using GraphPad prism.</p>
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<p>RT-PCR and immunoblot analysis of the transcript and protein forms of <span class="html-italic">IGG6</span>-mediated bicistron in VICGG plants. (<b>A</b>) RT-PCR analysis of the transcript forms of <span class="html-italic">IGG6</span>-mediated bicistron. Primers P1/P2, P3/P4 and P1/P4 were used to detect the <span class="html-italic">vip3Aa</span>, <span class="html-italic">cry1Ab</span> and the bicistronic mRNA, respectively. The maize <span class="html-italic">actin1</span> gene was used as control. M: Trans5K DNA Marker, P: positive control, N: wild-type maize plants, B: blank. (<b>B</b>) The BLAST result of the bicistronic mRNA’s PCR amplicon. (<b>C</b>) Immunoblot analysis of the sizes of Vip3Aa and Cry1Ab protein. The β-Actin protein was used as control. M: PageRuler<sup>TM</sup> prestained protein ladder,10 to 180 kDa. N: wild-type maize plants.</p>
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<p>Laboratory bioassays of VICGG transgenic maize leaves with fall armyworm (FAW) and Asian corn borer (ACB). (<b>A</b>,<b>B</b>) The mortality rates of FAW and ACB larvae feeding on the leaves of wild-type and VICGG transgenic maize plants. Data represent means ± SD (n = 3 biological replicates). (<b>C</b>) The appearance of wild-type and transgenic maize leaves after insect bioassays with FAW and ACB. Photographs were taken after 5 days of infestation. Scale bar = 0.5 cm.</p>
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<p>Laboratory bioassays of VICGG-15 transgenic maize silk and ear with fall armyworm (FAW) and Asian corn borer (ACB). (<b>A</b>,<b>B</b>) The appearance of wild-type and VICGG-15 transgenic maize silks and ears after insect bioassays with FAW and ACB. Photographs were taken after 5 days of infestation. Scale bar = 0.5 cm. (<b>C</b>,<b>D</b>) The mortality rates of FAW larvae feeding on the silks and ears of wild-type and VICGG-15 plants. (<b>E</b>,<b>F</b>) The mortality rates of ACB larvae feeding on the silks and ears of wild-type and VICGG-15 plants. Data represent means ± SD (n = 3 biological replicates).</p>
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<p>Field bioassays of VICGG-15 transgenic maize plants with Asian corn borer (ACB). (<b>A</b>) The appearance of wild-type and VICGG-15 transgenic maize plants after insect bioassays with ACB. Photographs were taken after 3 days of infestation. (<b>B</b>) The resistance rating level of wild-type and VICGG-15 transgenic maize plants to ACB. Data represent means ± SD (n = 30).</p>
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<p>Glyphosate tolerance analysis and agronomic traits investigation of VICGG-15. (<b>A</b>) Pictures of VICGG-15 and B104 (WT) plants were recorded 10 days after treatment with glyphosate (900, 1800, and 3600 g a.e.ha<sup>−1</sup>), water as negative control. Aerial view taken by Unmanned Aerial Vehicle. (<b>B</b>) The plant height of VICGG-15 at 1, 2, and 4 weeks after glyphosate treatment. Data are means ± SD (n = 30), n.s: no significance (<span class="html-italic">p</span> &gt; 0.05, one-way ANOVA). (<b>C</b>) Ear phenotype of B104 and VICGG-15. Scale bar = 2 cm.</p>
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18 pages, 4899 KiB  
Review
Endophytic Entomopathogenic Fungi: Their Role in Enhancing Plant Resistance, Managing Insect Pests, and Synergy with Management Routines
by Krishnamoorthy Aravinthraju, Mookiah Shanthi, Marimuthu Murugan, Ramasamy Srinivasan, Lourena Arone Maxwell, Narayanan Manikanda Boopathi and Rangasamy Anandham
J. Fungi 2024, 10(12), 865; https://doi.org/10.3390/jof10120865 - 13 Dec 2024
Viewed by 598
Abstract
The interaction between plants and microorganisms plays a major role in plant growth promotion and disease management. While most microorganisms directly influence plant health, some indirectly support growth through pest and disease suppression. Endophytic entomopathogenic fungi are diverse, easily localized, and have long-lasting [...] Read more.
The interaction between plants and microorganisms plays a major role in plant growth promotion and disease management. While most microorganisms directly influence plant health, some indirectly support growth through pest and disease suppression. Endophytic entomopathogenic fungi are diverse, easily localized, and have long-lasting effects on insect pests. When inhabiting plants, these fungi alter secondary metabolites, volatile organic compounds, and microbiomes, enhancing plant resistance to pests and diseases and sometimes improving growth. However, their persistence in plant systems may be challenged by the plant’s defense mechanisms or by human interventions such as insecticides, fungicides, herbicides, and phyto-insecticides, which are common in agriculture. As effective biocontrol agents, endophytic entomopathogenic fungi can also be integrated with other pest management strategies like predators, parasitoids, and chemicals. This review will explore the impact of endophytic entomopathogens on plant systems and their compatibility with other management practices. Full article
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<p>Endophytic entomopathogenic fungi and their associated host against insect pests.</p>
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<p>Metabolic changes in host plants due to endophytic entomopathogenic fungi. The endophytic entomopathogenic fungus (1) enters the plant system through the roots and colonizes within the plant tissues (2). This colonization may alter plant volatiles (3), secondary metabolites, and hormones, which can result in repelling insect pests (4) and attracting natural enemies, such as predators (5) and parasitoids (6).</p>
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<p>Compatibility of IPM components for its success. Microbes have a two-way interaction: they can be antagonistic to natural enemies while also being affected by chemical pesticides. Therefore, their compatibility with other integrated pest management (IPM) practices is crucial for successful pest management.</p>
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18 pages, 2041 KiB  
Article
The Degradation Characteristics and Soil Remediation Capabilities of the Butachlor-Degrading Strain DC-1
by Yue Cheng, Qian Fu, Guixin Xiong, Yaning Huang, Xu Li, Qingyue Yu, Fuxia He, Haitao Li and Rongmei Liu
Microorganisms 2024, 12(12), 2568; https://doi.org/10.3390/microorganisms12122568 - 13 Dec 2024
Viewed by 370
Abstract
Butachlor is a widely utilized acetamide herbicide noted for its systemic selectivity against pre-emergence grass weeds. Butachlor has negative effects on organisms and the environment, so it is necessary to screen degradation strains. In this investigation, Bacillus cereus strain DC-1 was isolated from [...] Read more.
Butachlor is a widely utilized acetamide herbicide noted for its systemic selectivity against pre-emergence grass weeds. Butachlor has negative effects on organisms and the environment, so it is necessary to screen degradation strains. In this investigation, Bacillus cereus strain DC-1 was isolated from soil persistently exposed to butachlor. Through rigorous single-factor and response surface analyses, strain DC-1 exhibited a notable 87.06% degradation efficiency under optimized conditions where the temperature was 32.89 °C, pH was 7.29, and inoculum concentration was 5.18%. It was further hypothesized by LC-MS that the degradation pathway of butachlor by strain DC-1 might be as follows: butachlor undergoes initial deoxygenation catalyzed by dioxygenases to form 2-chloro-N-(2,6-diethylphenyl)-N-methylacetamide, followed by N-demethylation yielding 2-chloro-N-(2,6-diethylphenyl) acetamide, and culminating in conversion to 2,6-diethylphenol. In addition, bioremediation experiments of butachlor-contaminated soil were conducted. The results show that strain DC-1 could degradable 99.23% of butachlor (100 mg·kg−1) from the soil within 12 d, and soil sucrase, cellulase, and urease activities are promoted by the bacteria. And through high-throughput sequencing, it was concluded that the strain DC-1 was able to influence the relative abundance of certain bacteria in the soil, and make the microbial community in the soil develop in a more stable and beneficial direction. DC-1 thus represents a valuable resource in the realm of butachlor degradation due to its robust efficacy, favorable characteristics, and ecological restorative capabilities, underscoring its promising role in the bioremediation of butachlor-contaminated soils. Full article
(This article belongs to the Section Environmental Microbiology)
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<p>Colony of the strain DC-1 (<b>A</b>) and gram staining results (<b>B</b>). Phylogenetic tree constructed based on strain DC-1 (marked in red) 16S rRNA sequences (<b>C</b>).</p>
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<p>Different temperatures (<b>A</b>), pH (<b>B</b>), inoculation amount (<b>C</b>), and initial concentration of butachlor (<b>D</b>). The error bars represent the standard deviation of three replicates. Different letters represent the degree of difference among the different treatments.</p>
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<p>LC-MS detects intermediate metabolites during the degradation of butachlor by strain DC-1: butachlor (<b>A</b>), 2-chloro-N-(2,6-diethylphenyl)-N-methylacetamide (<b>B</b>), 2-chloro-N-(2,6-diethylphenyl)-acetamide (<b>C</b>), and 2,6-diethylaniline (<b>D</b>). Degradation pathway of butachlor by strain DC-1 (<b>E</b>).</p>
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<p>The effect of strain DC-1 on soil enzyme activity treated with butachlor: sucrase (<b>A</b>), cellulase (<b>B</b>), urease (<b>C</b>), and catalase (<b>D</b>) (<span class="html-italic">p</span> &lt; 0.05; “a, b, c”: It is not significant when it is the same letter, but significant when it is different letters.). Note: CK: without butachlor and strain DC-1; DC: with added butachlor (50 mg·kg<sup>−1</sup>); DCJ: with butachlor (50 mg·kg<sup>−1</sup>) and strain DC-1.</p>
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<p>Relative abundance of soil bacterial community at phylum level (<b>A</b>) and genus level (<b>B</b>). <b>Note:</b> DC7, DCJ7, DC14, DCJ14, DC28, and DCJ28 represent day 7, day 14, and day 28, respectively.</p>
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17 pages, 12164 KiB  
Article
Study of Photodegradation of Bentazon Herbicide by Using ZnO-Sm2O3 Nanocomposite Under UV Light
by Sadaf Yasmeen, Luca Burratti, Leonardo Duranti, Antonio Agresti and Paolo Prosposito
Int. J. Mol. Sci. 2024, 25(24), 13319; https://doi.org/10.3390/ijms252413319 - 12 Dec 2024
Viewed by 294
Abstract
The removal of organic pollutants from water is significantly important as they have harmful effects on the ecosystem. Heterogeneous photocatalysis is a potential technique for the removal of organic pollutants from the wastewater. In this article, zinc oxide (ZnO) and samarium oxide (Sm [...] Read more.
The removal of organic pollutants from water is significantly important as they have harmful effects on the ecosystem. Heterogeneous photocatalysis is a potential technique for the removal of organic pollutants from the wastewater. In this article, zinc oxide (ZnO) and samarium oxide (Sm2O3) nanoparticles and ZnO-Sm2O3 nanocomposite (ZS) were synthesized by the co-precipitation method. We report the bandgap engineering of zinc oxide (ZnO) by making a composite with samarium oxide (Sm2O3) to enhance the photocatalytic activity. The smaller optical energy bandgap of the ZS nanocomposite as compared to the individual oxide nanoparticles shows that it has a light absorption range from UV to natural light. The photodegradation of bentazon herbicide as a model pollutant has been investigated by using the prepared samples. The photocatalytic activity of the prepared sample against bentazon herbicide was carried out under UV light for 140 min. The degradation efficiency against bentazon of the prepared samples was ZS > ZnO > Sm2O3, respectively. The ZnO-Sm2O3 nanocomposite showed a higher photocatalytic performance against bentazon and achieved a 90% degradation efficiency under a UV light source in 140 min. The pseudo-first-order degradation kinetic was studied under different operational conditions, such as catalyst loading, initial pH and bentazon concentration, showing that the degradation rate of bentazon was strongly influenced by these operational parameters. The obtained optimization conditions for practical application were a catalyst loading of 20 mg, pH of solution equal to 7 and bentazon concentration of 5 ppm for ZS nanocomposite in 60 mL of contaminated water. Furthermore, based on the scavenger study, hydroxyl and superoxide radicals play major role in the degradation experiment. The obtained results show that ZS nanocomposite can be a good potential candidate for wastewater treatment. Full article
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<p>XRD spectra of (<b>a</b>) ZnO, (<b>b</b>) Sm<sub>2</sub>O<sub>3</sub> nanoparticles and (<b>c</b>) ZnO-Sm<sub>2</sub>O<sub>3</sub> nanocomposite.</p>
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<p>UV-Vis absorption spectra of (<b>a</b>) ZnO, (<b>b</b>) Sm<sub>2</sub>O<sub>3</sub> nanoparticles and (<b>c</b>) ZS nanocomposite; insets show the Tauc’s plot of prepared samples for energy bandgap estimation.</p>
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<p>PL spectra of ZnO, Sm<sub>2</sub>O<sub>3</sub> nanoparticles and ZS nanocomposite.</p>
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<p>SEM images of ZnO (<b>a</b>,<b>d</b>), Sm<sub>2</sub>O<sub>3</sub> (<b>b</b>,<b>e</b>) and ZS nanocomposite (<b>c</b>,<b>f</b>); scale bar for (<b>a</b>–<b>c</b>) is 2 µm and for (<b>d</b>–<b>f</b>) is 500 nm.</p>
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<p>SEM images of ZnO (<b>a</b>,<b>d</b>), Sm<sub>2</sub>O<sub>3</sub> (<b>b</b>,<b>e</b>) and ZS nanocomposite (<b>c</b>,<b>f</b>); scale bar for (<b>a</b>–<b>c</b>) is 2 µm and for (<b>d</b>–<b>f</b>) is 500 nm.</p>
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<p>(<b>a</b>) Absorption spectra of bentazon in the presence of ZS nanocomposite; (<b>b</b>) degradation efficiency at different time intervals against bentazon for Zs, ZnO and Sm<sub>2</sub>O<sub>3</sub>; (<b>c</b>) degradation rate; (<b>d</b>) rate constant values (<span class="html-italic">k</span>) in the presence of ZnO, Sm<sub>2</sub>O<sub>3</sub> nanoparticles and ZS nanocomposites.</p>
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<p>(<b>a</b>) Percentage degradation of bentazon at different amount of ZS nanocomposite and (<b>b</b>) kinetic plots of rate constant at different amounts of ZS nanocomposite.</p>
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<p>(<b>a</b>) Percentage degradation of bentazon at different pH of solution and (<b>b</b>) kinetic plots of rate constant at different pH of solution.</p>
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<p>(<b>a</b>). Percentage degradation of bentazon at different concentrations of bentazon and (<b>b</b>) kinetic plots of rate constant at different concentrations of bentazon.</p>
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<p>Effect of different scavengers on the degradation of bentazon.</p>
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<p>Schematic representation of photocatalytic mechanism of synthesized ZS nanocomposite against bentazon.</p>
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<p>Schematic diagram of the synthesis of ZnO-Sm<sub>2</sub>O<sub>3</sub> nanocomposite.</p>
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13 pages, 1660 KiB  
Review
Agroecological Weed Management and the Potential Role of Fungi-Based Bioherbicides in Conservation: Advantages, Applications and Future Prospects
by Dimitra Petraki, Panagiotis Kanatas, Stavros Zannopoulos, Metaxia Kokkini, Nikolaos Antonopoulos, Ioannis Gazoulis and Ilias Travlos
Conservation 2024, 4(4), 847-859; https://doi.org/10.3390/conservation4040050 - 12 Dec 2024
Viewed by 360
Abstract
Recently, there has been growing interest by farmers and researchers in various agroecological approaches enhancing biodiversity and conservation including the use of natural herbicides derived from fungi to provide adequate weed control. This change is driven by growing concerns about herbicide resistance, environmental [...] Read more.
Recently, there has been growing interest by farmers and researchers in various agroecological approaches enhancing biodiversity and conservation including the use of natural herbicides derived from fungi to provide adequate weed control. This change is driven by growing concerns about herbicide resistance, environmental impacts and regulatory requirements. This review summarizes the results of various studies and highlights the efficacy and benefits of fungal bioherbicides in weed control. Fungi-based bioherbicides utilize the natural weed suppression capability of selected fungi to reduce weed density and competitiveness without completely eradicating the plants and such an approach is at the core of agroecology. Bioherbicides contribute to conservation by providing an environmentally friendly alternative to chemical herbicides. By reducing the reliance on synthetic chemicals, fungal bioherbicides help preserve soil health, water quality and protect non-target species, including beneficial organisms such as pollinators and soil microbes. They also promote biodiversity by selectively targeting specific weed species, leaving native plants and other organisms unharmed and favoring diversified weed flora without the dominance of a few species. Despite their promising potential, bioherbicides face several challenges, including delayed action, production difficulties and the potential toxicity of certain fungal toxins to mammals. This review highlights the growing adoption of fungal bioherbicides as an eco-friendly component of Integrated Weed Management (IWM). Further research is necessary to identify optimal fungal strains for controlling persistent weeds without putting at risk the overall biodiversity and to develop improved formulations for enhanced efficacy. Full article
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<p>Advantages and disadvantages of fungal bioherbicides.</p>
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<p>Documents published annually on fungal bioherbicides, based on a literature review in the Scopus database from 2000 to 2024.</p>
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16 pages, 1356 KiB  
Article
Changes in Expression of Key Genes in Ceca of Chicken Broilers as Affected by Glyphosate, Antibiotics and a Coccidiostat
by Georgi Y. Laptev, Daria G. Turina, Vitali Y. Morozov, Elena A. Yildirim, Elena P. Gorfunkel, Larisa A. Ilina, Valentina A. Filippova, Evgeni A. Brazhnik, Natalia I. Novikova, Veronika K. Melikidi, Kseniya A. Sokolova, Ekaterina S. Ponomareva, Vasiliy A. Zaikin, Andrei V. Dubrovin, Peter F. Surai, Darren K. Griffin and Michael N. Romanov
Animals 2024, 14(23), 3544; https://doi.org/10.3390/ani14233544 - 8 Dec 2024
Viewed by 466
Abstract
Studies have shown the presence of residual amounts of the herbicide glyphosate in poultry feed, which leads to its bioaccumulation in the body. Recently, it has been established that exposure to low levels of glyphosate over a long period may have serious negative [...] Read more.
Studies have shown the presence of residual amounts of the herbicide glyphosate in poultry feed, which leads to its bioaccumulation in the body. Recently, it has been established that exposure to low levels of glyphosate over a long period may have serious negative effects on poultry health. Moreover, combined exposure to several toxicants can potentially lead to additive and/or synergistic effects. The purpose of this study was to analyze changes in meat productivity and the expression dynamics of key genes (IGF1, IGF2, MYOG, MYOZ2, SLC2A1, SLC2A2, MSTN, MUC2, OCLN, CLDN1, TLR2, TLR4, CAT, SOD1, PRDX6, and HMOX1) in the cecum of broilers as affected by glyphosate, antibiotics and a coccidiostat (anticoccidial drug). Day-old Ross 308 broiler chickens (n = 260) were divided into four groups, including a control group (CONT) fed the basic diet (BD), and three experimental groups: GLY (BD + glyphosate), GLY+ANT (BD + glyphosate and antibiotics enrofloxacin and colistin methanesulfonate), and GLY+CS (BD + glyphosate and the coccidiostat ammonium maduramycin). Samples were collected at control 7, 14, and 40 days of rearing, 50 mg each from three birds from each group. The mean body weight in each group was determined after the individual weighing of the entire flock. At 7 days of age, an upregulating effect on the expression of the immune-related TLR2 gene was detected in Groups GLY+ANT and GLY+CS compared to Group CONT (p = 0.044 and p = 0.042, respectively) and Group GLY (p = 0.049 and p = 0.044, respectively). At 40 days of age, this gene expression, conversely, decreased in Groups GLY+ANT and GLY+CS compared to Group CONT (p = 0.041 and p = 0.038, respectively). Glyphosate (Group GLY) upregulated the mRNA level of genes associated with productivity (IGF1, IGF2, and MSTN) at 7 days of age by 3.7 times (p = 0.041, p = 0.036 and p = 0.039, respectively) and, conversely, decreased it at a later age (14 and 40 days) compared to Group CONT (p = 0.024, p = 0.049 and p = 0.047, respectively, at 14 days, and p = 0.037 and p = 0.036 and p = 0.035, respectively, at 40 days of age). Thus, we identified detrimental changes in the expression of key broiler genes as influenced by glyphosate, as well as its combinations with antibiotics and a coccidiostat, which may have negative consequences for the poultry industry. Full article
(This article belongs to the Section Poultry)
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<p>The dynamics of expression levels of key genes in the cecal tissue of Ross 308 broiler chicken groups: (<b>a</b>) at the age of 7 days; (<b>b</b>) 14 days; and (<b>c</b>) 40 days. Red and blue bars on the graphs, respectively, indicate the fold downregulation or upregulation in the level of gene expression in the experimental groups (GLY, GLY+ANT, GLY+CS) relative to Group CONT. * Significant difference compared to Group CONT.</p>
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<p>The dynamics of expression levels of key genes in the cecal tissue of Ross 308 broiler chicken groups: (<b>a</b>) at the age of 7 days; (<b>b</b>) 14 days; and (<b>c</b>) 40 days. Red and blue bars on the graphs, respectively, indicate the fold downregulation or upregulation in the level of gene expression in the experimental groups (GLY, GLY+ANT, GLY+CS) relative to Group CONT. * Significant difference compared to Group CONT.</p>
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16 pages, 4377 KiB  
Article
Biochemical and Physiological Responses of Weeds to the Application of a Botanical Herbicide Based on Cinnamon Essential Oil
by Sofiene Ben Kaab, Juan Antonio Fernández Pierna, Berenice Foncoux, Philippe Compère, Vincent Baeten and M. Haïssam Jijakli
Plants 2024, 13(23), 3432; https://doi.org/10.3390/plants13233432 - 6 Dec 2024
Viewed by 687
Abstract
The use of chemical herbicides induces negative impacts on the environment, animals, and human health. It also leads to the development of herbicide-resistant weeds. In this context, natural and efficacious herbicides are highly sought after. Essential oils are natural compounds with antibacterial, fungicidal, [...] Read more.
The use of chemical herbicides induces negative impacts on the environment, animals, and human health. It also leads to the development of herbicide-resistant weeds. In this context, natural and efficacious herbicides are highly sought after. Essential oils are natural compounds with antibacterial, fungicidal, and phytotoxic properties. For this reason, we studied the post-emergence phytotoxic effect of cinnamon essential oil (cinnamon EO) from Cinnamomum cassia under greenhouse conditions, testing it against Trifolium incarnatum (T. incarnatum) and Lolium perenne (L. perenne). The content of malondialdehyde (MDA), percentage of water loss, electrolyte leakage, and the fluorescence of treated leaves by cinnamon EO were determined in order to understand the physiological and biochemical responses. In addition, transmission electron microscopy (TEM) was used to study the effect of cinnamon EO on cellular organelles in different tissues of T. incarnatum leaves. Results showed that cinnamon EO quickly induced oxidative stress in treated leaves by increasing MDA content, impacting membrane integrity and causing water loss. TEM observations confirmed the cell desiccation by cellular plasmolysis and showed an alteration of the membrane integrity and chloroplast damages. Moreover, Raman analysis confirms the disturbance of the plant metabolism by the disappearance of some scattering bands which correspond to primary metabolites. Through our finding, we confirm that cinnamon essential oil (EO) could be proposed in the future as a potential bioherbicide and a suitable source of natural phytotoxic compounds with a multisite action on weeds. Full article
(This article belongs to the Special Issue Biopesticides for Plant Protection)
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<p>Phytotoxic effect of cinnamon EO after three days on <span class="html-italic">T. incarnatum</span> (<b>upper</b>) and <span class="html-italic">L. perenne</span> (<b>lower</b>). From left to right: untreated ((<b>A</b>) or (<b>A1</b>)); treated plant with 3% EO ((<b>B</b>) or (<b>B1</b>)); treated plant with 6% EO ((<b>C</b>) or (<b>C1</b>)).</p>
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<p>Percentage of water loss of leaves of <span class="html-italic">T. incarnatum</span> (gray) and <span class="html-italic">L. perenne</span> (blue) treated by cinnamon EO at 3% and 6% after 5 h. Glyphosate at 7 g L<sup>−1</sup> was used as positive control and Tween 20 (1%) as negative control for emulsion of cinnamon EO. <sup>a,b</sup> The letters above the histogram bars represent statistical groups. Values in a column followed by the same letter are not significantly different at <span class="html-italic">p</span> &lt; 0.05, as established by Tukey’s test, indicating that these groups do not differ statistically from one another.</p>
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<p>Percentage of water loss of leaves of <span class="html-italic">T. incarnatum</span> (gray) and <span class="html-italic">L. perenne</span> (blue) treated by cinnamon EO at 3% and 6% after 3 days. Glyphosate at 7 g L<sup>−1</sup> was used as positive control and Tween 20 (1%) as negative control for emulsion of cinnamon EO. <sup>a–c</sup> The letters above the histogram bars represent statistical groups. Values in a column followed by the same letter are not significantly different at <span class="html-italic">p</span> &lt; 0.05, as established by Tukey’s test, indicating that these groups do not differ statistically from one another.</p>
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<p>Membrane integrity of <span class="html-italic">T. incarnatum</span> (gray) and <span class="html-italic">L. perenne</span> (blue) after 5 h of treatment with cinnamon EO 3% and 6%. Glyphosate at 7 g L<sup>−1</sup> was used as positive control and Tween 20 (1%) as negative control for emulsion of cinnamon EO. <sup>a–c</sup> The letters above the histogram bars represent statistical groups. Values in a column followed by the same letter are not significantly different at <span class="html-italic">p</span> &lt; 0.05, as established by Tukey’s test, indicating that these groups do not differ statistically from one another.</p>
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<p>Content of MDA In <span class="html-italic">T. incarnatum</span> (gray) and <span class="html-italic">L. perenne</span> (blue) after 5 h of treatment with cinnamon EO at 3% and 6%. Glyphosate at 7 g L<sup>−1</sup> was used as positive control and Tween 20 (1%) as negative control. <sup>a–d</sup> The letters above the histogram bars represent statistical groups. Values in a column followed by the same letter are not significantly different at <span class="html-italic">p</span> &lt; 0.05, as established by Tukey’s test, indicating that these groups do not differ statistically from one another.</p>
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<p>Chlorophyll fluorescence of leaves of <span class="html-italic">T. incarnatum</span> (gray) and <span class="html-italic">L. perenne</span> (blue) after 15 min of treatment with cinnamon EO 3% and 6%. Glyphosate at 7 g L<sup>−1</sup> was used as positive control and Tween 20 (1%) as negative control for emulsion of cinnamon EO. <sup>a–c</sup> The letters above the histogram bars represent statistical groups. Values in a column followed by the same letter are not significantly different at <span class="html-italic">p</span> &lt; 0.05, as established by Tukey’s test, indicating that these groups do not differ statistically from one another.</p>
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<p>Chlorophyll fluorescence of leaves of <span class="html-italic">T. incarnatum</span> (gray) and <span class="html-italic">L. perenne</span> (blue) after 3 days of treatment with cinnamon EO 3% and 6%. Glyphosate at 7 g L<sup>−1</sup> was used as positive control and Tween 20 (1%) as negative control for emulsion of cinnamon EO. <sup>a–c</sup> The letters above the histogram bars represent statistical groups. Values in a column followed by the same letter are not significantly different at <span class="html-italic">p</span> &lt; 0.05, as established by Tukey’s test, indicating that these groups do not differ statistically from one another.</p>
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<p>TEM images (600 × 200 µm) showing intact cells of untreated leaves of <span class="html-italic">T. incarnatum</span> containing Tween 1% (<b>A</b>) and the effect of cinnamon EO at 3% on the ultrastructure cells after 30 min of contact (<b>B</b>).</p>
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<p>Raman spectra profile of untreated leaves (yellow) and stems (light blue) and treated leaves (red) and stems (dark blue) of <span class="html-italic">T. incarnatum</span> by cinnamon EO after 1 day.</p>
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15 pages, 1055 KiB  
Article
The Influence of Plant Growth-Stimulating Bacteria on the Glutathione-S-Transferase Activity and the Toxic Effect of the Herbicide Metsulfuron-Methyl in Wheat and Canola Plants
by Darya Chetverikova, Margarita Bakaeva, Sergey Starikov, Aliya Kendjieva and Sergey Chetverikov
Toxics 2024, 12(12), 886; https://doi.org/10.3390/toxics12120886 - 5 Dec 2024
Viewed by 657
Abstract
The ability of some rhizosphere bacteria to mitigate herbicidal stress in cultivated plants may be useful in agriculture and bioremediation. There is poor understanding of how bacteria directly or through herbicide degradation affect the biochemical processes in plants exposed to sulfonylurea herbicides. In [...] Read more.
The ability of some rhizosphere bacteria to mitigate herbicidal stress in cultivated plants may be useful in agriculture and bioremediation. There is poor understanding of how bacteria directly or through herbicide degradation affect the biochemical processes in plants exposed to sulfonylurea herbicides. In this study, treatment with a combination of herbicide metsulfuron-methyl (MSM) and bacteria (Pseudomonas protegens DA1.2 or P. chlororaphis 4CH) of wheat (Triticum aestivum L.) and canola (Brassica napus L.) plants was carried out. Activity of glutathione-S-transferase (GST), an important enzyme for the herbicide detoxification, and acetolactate synthase (ALS), a target for MSM in plants, was measured by spectrophotometric assays. MSM residues were analyzed using the HPLC-MS. Then, 24 h after bacterial treatment, GST activity increased by 75–91% in wheat and by 38–94% in canola. On the 30th day, a decrease in MSM in the soil associated with bacterial treatment was 54.6–79.7%. An increase in GST activity and acceleration of MSM degradation were accompanied by a decrease in inhibition of the ALS enzyme in plants, which indicated a mitigation of the toxic effect. The results obtained are evidence that rhizospheric bacteria can have beneficial effects on plants exposed to MSM due to the combination of abilities to directly affect detoxification enzymes in plants and degrade MSM in the soil. Full article
(This article belongs to the Special Issue Insights into the Biology of Plants Affected by Toxic Chemicals)
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<p>The effect of treatment with bacteria, a low-molecular-weight fraction (LMF) of their culture fluid, and metsulfuron-methyl (MSM) on glutathione-S-transferases (GST) activity in leaf extracts of wheat (<b>a</b>) and canola (<b>b</b>); enzyme activities are presented as average and standard errors (n = 5, Duncan’s test); significantly different means are indicated by different letters (<span class="html-italic">p</span> ≤ 0.05); control—herbicide and bacteria were not used, DA1.2–strain Pseudomonas protegens DA1.2, CH4—strain <span class="html-italic">P. chlororaphis</span> CH4.</p>
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<p>The effect of treatment with bacteria, a low-molecular-weight fraction (LMF) of their culture fluid, and metsulfuron-methyl (MSM) on glutathione-S-transferases (GST) activity in leaf extracts of wheat (<b>a</b>) and canola (<b>b</b>); enzyme activities are presented as average and standard errors (n = 5, Duncan’s test); significantly different means are indicated by different letters (<span class="html-italic">p</span> ≤ 0.05); control—herbicide and bacteria were not used, DA1.2–strain Pseudomonas protegens DA1.2, CH4—strain <span class="html-italic">P. chlororaphis</span> CH4.</p>
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<p>The effect of treatment with bacteria, a low-molecular-weight fraction (LMF) of their culture fluid, and metsulfuron-methyl (MSM) on acetolactate synthase (ALS) activity in leaves of wheat and canola; n = 5, U-test, significantly different (<span class="html-italic">p</span> ≤ 0.05) means within the “wheat” dataset and the “canola” dataset are indicated by different letters (lowercase and uppercase, respectively); control—herbicide and bacteria were not used, DA1.2 –strain <span class="html-italic">Pseudomonas protegens</span> DA1.2, CH4—strain <span class="html-italic">P. chlororaphis</span> CH4.</p>
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<p>Degradation of MSM after introduction of strains <span class="html-italic">Pseudomonas protegens</span> DA1.2rif and <span class="html-italic">P. chlororaphis</span> 4CHrif in: (<b>a</b>) plant-free soils; (<b>b</b>) wheat-sown soils. NB—soil not treated with bacteria, DA1.2rif—soil treated with the rifampicin-resistant strain <span class="html-italic">Pseudomonas protegens</span> DA1.2rif, CH4—soil treated with the rifampicin-resistant strain <span class="html-italic">P. chlororaphis</span> CH4rif; data are presented as mean ± SE (n = 5, Duncan’s test, <span class="html-italic">p</span> ≤ 0.05).</p>
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16 pages, 310 KiB  
Article
Silicon as a Predicator of Sustainable Nutrient Management in Maize Cultivation (Zea mays L.)
by Przemysław Kardasz, Piotr Szulc, Krzysztof Górecki, Katarzyna Ambroży-Deręgowska and Roman Wąsala
Sustainability 2024, 16(23), 10677; https://doi.org/10.3390/su162310677 - 5 Dec 2024
Viewed by 455
Abstract
Field trials were conducted at the Field Experimental Station in Winna Góra. Weed control after maize sowing increased the grain yield by 15.7% compared to that after herbicide application at the BBCH 14/15 stage. Higher effectiveness of silicon application in maize cultivation can [...] Read more.
Field trials were conducted at the Field Experimental Station in Winna Góra. Weed control after maize sowing increased the grain yield by 15.7% compared to that after herbicide application at the BBCH 14/15 stage. Higher effectiveness of silicon application in maize cultivation can be achieved on plantations free from primary or secondary weed infestation. The application of a 50% NPK dose increased the grain yield by 8.6%, while a 100% dose improved it by 13.9% compared to that of the control object (without mineral fertilization). Furthermore, it was observed that the effectiveness of the silicon increased with higher total precipitation during the maize growing season, as evidenced by the results from 2022. In that year, the difference between the control (without silicon application) and the treatment with silicon applied at the BBCH 15/16 stage was more than 33%. The average mass losses from the green tea bags ranged from 54.9% to 71.9% in the variant of the sowing experiment carried out after spraying with the herbicide and from 69.4% to 72.4% in the variant with herbicide spraying at the BBCH14 stage. The rooibos tea’s mass losses were lower, as expected, and ranged from 18.6% to 36.4% in the first variant and from 30.8% to 38.6% in the second variant. The mass losses of the green tea and rooibos tea were the highest in the variant with herbicide spraying at the BBCH14 stage and the lowest in the variant of the sowing experiment carried out after herbicide spraying. The stabilization factor (S) ranged from 193 × 10−3 to 254 × 10−3 in sowing after herbicide spraying and from 188 × 10−3 to 226 × 10−3 in the variant with herbicide spraying at the BBCH14 stage. The k (decomposition constant) ranged from 7.8 × 10−3 to 11.5 × 10−3 in the first variant and from 7.2 × 10−3 to 13.4 × 10−3 in the variant with herbicide spraying at BBCH14. Full article
(This article belongs to the Section Sustainable Agriculture)
12 pages, 2295 KiB  
Review
Phosphite as a Sustainable and Versatile Alternative for Biostimulation, Biocontrol, and Weed Management in Modern Agriculture
by Libia Iris Trejo-Téllez, Víctor Hugo Carbajal-Vázquez, Jazmín Lavín-Castañeda and Fernando Carlos Gómez-Merino
Processes 2024, 12(12), 2764; https://doi.org/10.3390/pr12122764 - 5 Dec 2024
Viewed by 433
Abstract
Phosphite (Phi), an analog of phosphate (Pi), is an anion widely used in phytosanitary management and agricultural biostimulation schemes. Given that, unlike some species of bacteria, plants do not naturally have the mechanisms to metabolize Phi once they have absorbed it, Phi must [...] Read more.
Phosphite (Phi), an analog of phosphate (Pi), is an anion widely used in phytosanitary management and agricultural biostimulation schemes. Given that, unlike some species of bacteria, plants do not naturally have the mechanisms to metabolize Phi once they have absorbed it, Phi must be used in perfect coordination with adequate nutritional management of Pi in the crop since an excessive level of Phi combined with a deficient supply of Pi causes a disruption in ionic balances that can result in serious toxicity or even the death of the plant. In addition to the adequate Phi/Pi balance, high doses of Phi by themselves cause alterations in the mechanisms of perception and response to phosphorus deficiency leading to toxicity in plants. Hence, in various plant species, it has been proven that Phi can be used with herbicidal effects. Genes that encode enzymes involved in the metabolization of Phi have been isolated from bacterial genomes, and they have been transferred by genetic engineering to plant genomes, allowing the development of dual fertilization and weed control systems. This review provides background on the novel uses of Phi in agriculture and breaks down its potential use as an alternative herbicide in sustainable agriculture approaches supported by green chemistry. Full article
(This article belongs to the Special Issue Feature Review Papers in Section "Environmental and Green Processes")
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<p>Structure of the phosphate (Pi; PO<sub>4</sub><sup>3−</sup>) and phosphite (Phi; HPO<sub>3</sub><sup>2−</sup>) anions, showing the replacement of an oxygen atom (O) in Pi by a hydrogen one (H) in the tetrahedral configuration in Phi.</p>
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<p>Mobility of phosphate (Pi) in the soil towards the roots, following the concentration gradient. Phosphate, when applied to the soil as a solid fertilizer, tends to fix, and its mobility is negatively affected. Additionally, the diffusion coefficient of Pi is low in soil. The Pi depletion zone favors its access to the root.</p>
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<p>Mobility of phosphite (Phi) in the plant. Liquid applications of phosphite to the plant have great mobility in the conductive tissues (xylem and phloem), so its potential hormetic effects are more readily evident.</p>
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