Atrazine and Mesotrione-Induced Oxidative Stress and Impact on Antioxidant Enzymes and Chlorophyll Contents in Bermudagrass

Wang, Y.; Yu, Jialin; Zhou, Benguo; Sapkota, Suraj; Wei, Fengying; Wang, Z.

doi:10.1590/s0100-83582018360100146

Cited by 6 publications

(3 citation statements)

References 46 publications

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“…Sequential applications of fenoxaprop-ethyl (Chism and Bingham 1991;Lycan and Hart 2005;Reed et al 2013), quinclorac (Johnson 1993(Johnson , 1996, and herbicide combinations such as dithiopyr þ metribuzin or MSMA þ metribuzin provided POST control of D. ischaemum in bermudagrass. Atrazine and simazine are effective for control of M. nudiflora (Yu and McCullough 2016), but the label use rates of atrazine, metribuzin, and MSMA may cause objectionable phytotoxicity on bermudagrass (Busey 2004;Johnson 1976;McCarty et al 1991;Wang et al 2018;Yu et al 2017). Atrazine, metribuzin, and MSMA also have properties that can potentially contaminate groundwater (EPA 2018;Pimentel 2005;Welch et al 2000).…”

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confidence: 99%

Detection of grassy weeds in bermudagrass with deep convolutional neural networks

Schumann

Sharpe

et al. 2020

Weed Sci

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Spot-spraying POST herbicides is an effective approach to reduce herbicide input and weed control cost. Machine vision detection of grass or grass-like weeds in turfgrass systems is a challenging task due to the similarity in plant morphology. In this work, we explored the feasibility of using image classification with deep convolutional neural networks (DCNN), including AlexNet, GoogLeNet, and VGGNet, for detection of crabgrass species (Digitaria spp.), doveweed [Murdannia nudiflora (L.) Brenan], dallisgrass (Paspalum dilatatum Poir.), and tropical signalgrass [Urochloa distachya (L.) T.Q. Nguyen] in bermudagrass [Cynodon dactylon (L.) Pers.]. VGGNet generally out-performed AlexNet and GoogLeNet in detecting selected grassy weeds. For detection of P. dilatatum, VGGNet achieved high F1 scores (≥0.97) and recall values (≥0.99). A single VGGNet model exhibited high F1 scores (≥0.93) and recall values (1.00) that reliably detected Digitaria spp., M. nudiflora, P. dilatatum, and U. distachya. Low weed density reduced the recall values of AlexNet at detecting all weed species and GoogLeNet at detecting Digitaria spp. In comparison, VGGNet achieved excellent performances (overall accuracy = 1.00) at detecting all weed species in both high and low weed density scenarios. These results demonstrated the feasibility of using DCNN for detection of grass or grass-like weeds in turfgrass systems.

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confidence: 99%

Detection of grassy weeds in bermudagrass with deep convolutional neural networks

Schumann

Sharpe

et al. 2020

Weed Sci

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“…Binding at the D1 proteins causes fixation of CO 2 and production of energy required for plant growth to stop (Al-Khatib, 2020). Atrazine can cause oxidative degradation of lipids, pigment and protein degradation in susceptible plants (Wang et al, 2018). By inhibiting photosynthesis, atrazine should reduce photoassimilates required for plant growth and development.…”

Section: Resultsmentioning

confidence: 99%

Allelopathic sorghum aqueous extracts reduce biomass of hairy beggarticks

Chiduza

Marumahoko²,

Mandumbu

et al. 2020

Cogent Biology

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Leachates from the landrace sorghum IS9456 were tested on Bidens pilosa emergence and growth at Henderson Research Station in 2018. The trial had six treatments replicated four times. Stover was put in perforated plastic pots suspended on a frame. Watering released leachates, which were received by clay pots under the suspended pots. Atrazine significantly inhibited percentage emergence (P < 0.05) and leaf area (P < 0.001) of B. pilosa compared to leachates from all sorghum plant parts and the negative control. There was no significant effect (P > 0.05) of sorghum plant part as source of aqueous extract, and atrazine on height of B. pilosa. Sorghum stalks, leaves and sorghum stalks combined with leaves significantly (P < 0.05) reduced dry weight of B. pilosa compared to treatments with heads, atrazine and no sorghum herbage. Heads, stalks, leaves and leaves combined with stalks from mature IS9456 have limited allelopathic effect on the emergence of Bidens pilosa compared to atrazine. However, stalks, leaves and leaves combined with stalks can suppress biomass of Bidens pilosa possibly due to high concentrations of water soluble allelopathic compounds. Atrazine can provide early suppression B. pilosa, while allelopathic leachates from sorghum leaves, stalks and leaves combined with stalks can suppress B. pilosa in later growth stages by reducing weed biomass.

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“…In plants exposed to high light intensity protein D1 is proteolytically degraded (proteases present in the tilacoid membrane and stroma) and reduced QB reacts with oxygen, resulting in the production of oxygen in the singlet state, which is highly energetic and reactive (Hess, 2000). Oxidative stress was observed in soybean (Zhu et al., 2009), rice (Zhang, Lu, Zhang, Tan, & Yang, 2014), maize (Singh et al., 2018), and bermudagrass (Wang et al., 2018) exposed to atrazine.…”

Section: Discussionmentioning

confidence: 99%

Atrazine toxicity to Handroanthus heptaphyllus, a nontarget species from a Brazilian biome threatened by agriculture

Silva

Costa

Megguer

et al. 2021

Environmental Quality Mgmt

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The economic basis of the Brazilian midwest is agriculture, concentrating most of the grain production in the country. With the purpose of increasing yield, farmers have intensified land use and the use of atrazine among other pesticides, which can supposedly compromise human health and photosynthetic metabolism of plant species from Cerrado, such as Handroanthus heptaphyllus. The aim of this study was to determine experimentally the sensitivity level of H. heptaphyllus to atrazine, by measuring gas exchange, chlorophyll a fluorescence, chloroplastidic pigments, and membrane permeability. The experiment was conducted in a factorial scheme. Nine‐month‐old H. heptaphyllus plants were treated with six realistic doses of atrazine: 0, 25, 50, 100, 200, and 400 g a.i. ha–1 (corresponding to 10, 20, 40, 80, and 100% of the commercial dose recommended for corn crops, respectively), with five replications. Evaluations were performed at 12, 36, 84, 180, and 276 h after treatment application. Photosynthesis, the effective quantum yield of photosystem II, and electron transport rate were gradually reduced by the action of atrazine. On the other hand, the nonphotochemical quenching increased gradually, which indicates that this mechanism was not sufficient to avoid oxidative stress and cellular damage in H. heptaphyllus treated plants. Based on these results, we concluded that the action of the herbicide in the photosynthetic reduction occurs by the electron transport rate limitation. Therefore, H. heptaphyllus trees are at risk in Cerrado areas next to agricultural lands.

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Atrazine and Mesotrione-Induced Oxidative Stress and Impact on Antioxidant Enzymes and Chlorophyll Contents in Bermudagrass

Cited by 6 publications

References 46 publications

Detection of grassy weeds in bermudagrass with deep convolutional neural networks

Detection of grassy weeds in bermudagrass with deep convolutional neural networks

Allelopathic sorghum aqueous extracts reduce biomass of hairy beggarticks

Atrazine toxicity to Handroanthus heptaphyllus, a nontarget species from a Brazilian biome threatened by agriculture

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