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Identification and characterization of Epicoccum sorghinum causing leaf spot on sorghum in China 导致中国高粱叶斑病的高粱表球菌的鉴定和特征描述
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-23 DOI: 10.1016/j.cropro.2024.107044
J. Xu, L. Hu, Y. Jiang, Jichen Yan
Sorghum[Sorghum bicolor (L.)Moench] is one of the most important food crops and also used as forage, brewing and industrial raw materials in China. In recent years, during field surveys a new leaf spot was detected on sorghum plants in Liaoning Province, China. The pathogen was isolated used a conventional pathogen isolation method and identified by its morphology cultural characters and phylogenetic analysis of the combined genes including the internal transcribed spacer (ITS), β-tubulin (TUB) and Large subunit (LSU) sequences, respectively. Based on morphological characteristics and phylogenetic analyses, the pathogenic fungus was identified as Epicoccum sorghinum. Pathogenicity test was confirmed by inoculating sorghum cultivars under greenhouse conditions. This study is the first time to confirmed E. sorghinum as the causal agent of the disease in China, and this disease represents a potential threat to sorghum productivity in China.
高粱[Sorghum bicolor (L.)Moench] 是中国最重要的粮食作物之一,也用作饲料、酿酒和工业原料。近年来,在中国辽宁省的田间调查中,高粱植株上发现了一种新的叶斑病。该病原采用常规病原分离方法进行分离,并通过病原的形态特征、文化特征以及包括内部转录间隔序列(ITS)、β-微管蛋白序列(TUB)和大亚基序列(LSU)在内的组合基因的系统进化分析进行鉴定。根据形态学特征和系统进化分析,确定病原真菌为高粱表球菌(Epicoccum sorghinum)。在温室条件下接种高粱栽培品种,证实了其致病性。该研究首次证实高粱疫霉菌是该病在中国的病原菌,该病对中国高粱的产量构成潜在威胁。
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引用次数: 0
Theresimima ampellophaga (Bayle-Barelle 1809) (Lepidoptera, Zygaenidae, Procridinae): Past, present, and future of an overlooked vine pest 食蚜螨(Bayle-Barelle 1809)(鳞翅目,鲜蝇科,原蝇科):一种被忽视的葡萄害虫的过去、现在和未来
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-23 DOI: 10.1016/j.cropro.2024.107043
Needhi K. Thangasamy, Livia De Fazi, Renato Ricciardi, Angelo Canale, Giovanni Benelli, Andrea Lucchi
Research on vineyard pests is crucial for the reduction of annual yield losses and the development of sustainable methods of pest control. The vine-bud moth, Theresimima ampellophaga, has long been considered a harmful grapevine pest in the countries bordering the Mediterranean basin. The larvae feed extensively on vine leaves and buds, and records from the early 20th century indicate that even a minor infestation could halve a vine's total productivity. Despite this, it has received limited scientific attention in recent years, with limited updated information on its biology, ecology, and pest activity. Herein, we conducted a systematic literature review to consolidate all available data about the vine-bud moth into a single body of work. The gathered data revealed that this insect may not currently be as widespread and detrimental to modern vineyards as their historical reputation indicates. However, the vine-bud moth should also not be underestimated or overlooked, as its pest status is prone to evolve as climate changes. There is still a possibility that it could revert to being a major pest in the future, as factors like environmental resilience, trophic dominance and phenology are modified. We recommend a thorough reassessment of the currently available knowledge on this species to fill in knowledge gaps and clarify existing uncertainties. Additionally, there is much scope for further studies on this insect, especially in the fields of phylogenetics and behavioral ecology.
对葡萄园有害生物的研究对于减少年产量损失和开发可持续的害虫防治方法至关重要。葡萄芽蛾(Theresimima ampellophaga)长期以来一直被认为是地中海盆地沿岸国家葡萄藤的有害害虫。这种幼虫以藤蔓的叶子和芽为食,20世纪初的记录表明,即使是轻微的侵染也会使藤蔓的总产量减半。尽管如此,近年来它受到的科学关注有限,关于它的生物学、生态学和害虫活动的最新信息有限。在此,我们进行了系统的文献综述,将所有关于藤芽蛾的可用数据整合到一个单一的工作中。收集到的数据显示,这种昆虫目前对现代葡萄园的危害可能并不像它们历史上的名声所表明的那样广泛和有害。然而,藤芽蛾也不应该被低估或忽视,因为它的害虫状态很容易随着气候变化而变化。随着环境恢复力、营养优势和物候等因素的改变,它仍有可能在未来恢复为主要害虫。我们建议对该物种现有的知识进行彻底的重新评估,以填补知识空白并澄清现有的不确定性。此外,对这种昆虫的进一步研究,特别是在系统发育和行为生态学方面还有很大的空间。
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引用次数: 0
Charting the course of invasion: Ensemble species distribution models predict the range expansion of a newly invasive aphid pest Metopolophium festucae cerealium in North America 绘制入侵过程:集合物种分布模型预测了北美新入侵蚜虫Metopolophium festucae cerealium的范围扩展
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-22 DOI: 10.1016/j.cropro.2024.107042
Subodh Adhikari , Vivek Srivastava , Tyler Wist , Sanford D. Eigenbrode
Invasive species, including insect pests, pose significant threats globally. Ongoing global environmental changes may exacerbate the threats, by potentially favoring range expansion of invasive pests, altering native ecosystems, and damaging valuable crops. To reduce the spread and impact of invasive pests, monitoring and identification of their suitable habitats in the context of global environmental change (e.g., ongoing changes in land use and climate) is essential. This study examines the current and future potential habitat suitability of a newly invasive aphid, Metopolophium festucae cerealium, in North America, focusing on its potential expansion into wheat growing regions in North America. Using occurrence data collected during a decade of surveying from ∼450 sites in the Pacific Northwest (PNW) where the aphid has invaded, with the help of an ensemble modeling framework, we predicted the habitat suitability for M. f. cerealium for North America under various climate scenarios and land use conditions. The results indicate a high likelihood of further eastward and southward expansion from the PNW, particularly in wheat and cereal crop-producing regions, posing a threat to crop production. The key environmental drivers include cropland percentage, temperature, and precipitation, suggesting potential impacts of future environmental change. The study underscores the importance of considering not only climatic factors but also host plant presence and agricultural practices in pest management strategies.
包括害虫在内的入侵物种对全球构成重大威胁。正在发生的全球环境变化可能会加剧这些威胁,因为这些变化可能有利于入侵害虫扩大范围、改变本地生态系统和破坏有价值的作物。为了减少入侵害虫的传播和影响,必须在全球环境变化(如土地利用和气候的持续变化)的背景下监测和识别害虫的适宜栖息地。本研究考察了北美新入侵蚜虫 Metopolophium festucae cerealium 当前和未来潜在的栖息地适宜性,重点关注其在北美小麦种植区的潜在扩张。利用十年来从西北太平洋地区(PNW)450个蚜虫入侵地点收集到的发生数据,在集合建模框架的帮助下,我们预测了在各种气候情景和土地利用条件下北美麦田蚜的栖息地适宜性。结果表明,该蚜虫极有可能从西北地区进一步向东和向南扩展,尤其是在小麦和谷类作物产区,对作物生产构成威胁。关键的环境驱动因素包括耕地百分比、温度和降水量,这表明未来环境变化可能产生影响。该研究强调,在害虫管理策略中,不仅要考虑气候因素,还要考虑寄主植物的存在和农业实践。
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引用次数: 0
Leaf spot disease of Malus micromalus caused by Alternaria alternata and A. ovoidea recently documented in China 中国最近报道的由互花霉和卵圆霉引起的小苹果叶斑病
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-21 DOI: 10.1016/j.cropro.2024.107037
Yi-fei Wang , Meng-ting Jiang , Qiu-qin Wang , Xiu-yu Zhang , Yu Wan , Yin-juan Zhao
Malus micromalus is a famous ornamental tree species in China. Its fruits are also edible and have medicinal value. M. micromalus leaf spot disease was observed in October in Nanjing, which is located in Jiangsu Province, China. This illness induces the formation of nearly spherical lesions on the leaves, characterized by dark brown coloration and accompanied by black specks on the affected area and prominent concentric rings at the boundary between the infected and healthy tissue. In the advanced stage, the leaves undergo yellowing and subsequent abscission. The plant's growth is significantly impaired by the illness. Koch's postulates confirmed the identity of the fungal isolates (MS1-1 to MS1-9) were pathogenic to M. micromalus. The morphological features of the pathogens were consistent with those of Alternaria spp. Therefore, because of their morphological traits, the nine isolates were categorized as Alternaria species. Phylogenetic analyses were performed through a combined assessment of internal transcribed spacer region (ITS), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), Alternaria main allergen gene (Alt a 1), the RNA polymerase II second largest subunit (RPB2), and portions of translation elongation factor 1-alpha (TEF1-α), and the nine isolates were identified as A. alternata and A. ovoidea. Leaf spot disease in M. micromalus caused by Alternaria has never been reported before, either in China or worldwide.
小苹果是中国著名的观赏树种。它的果实也可食用,并具有药用价值。10月,在江苏省南京市发现了小叶螟叶斑病。这种疾病导致叶片上形成近球形病变,其特征是深褐色,患病区域伴有黑色斑点,在感染组织和健康组织之间的边界处出现明显的同心圆。在后期,叶片变黄,随后脱落。这种疾病严重损害了植物的生长。Koch的假设证实了真菌分离株(MS1-1至MS1-9)对微苹果分枝杆菌具有致病性。病原菌的形态特征与Alternaria spp一致,根据病原菌的形态特征,将9株分离物归类为Alternaria种。通过内部转录间隔区(ITS)、甘油三酯-3-磷酸脱氢酶(GAPDH)、交替孢霉主过敏原基因(Alt a1)、RNA聚合酶II第二大亚基(RPB2)和部分翻译伸长因子1-α (TEF1-α)进行系统发育分析,鉴定9株菌株为交替孢霉和卵形孢霉。在中国和世界范围内,稻瘟菌引起的小苹果叶斑病均未见报道。
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引用次数: 0
Newsletter 188 188年时事通讯
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-20 DOI: 10.1016/j.cropro.2024.107031
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引用次数: 0
Insecticidal activity of the ethanol extracts from Rudbeckia hirta: Efficacy on Lackey moth (Malacosoma neustria testacea) and impact on non-target organisms Rudbeckia hirta 乙醇提取物的杀虫活性:对漆蛾(Malacosoma neustria testacea)的功效及对非目标生物的影响
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-20 DOI: 10.1016/j.cropro.2024.107040
Yajun Wang , Hung Hai Pham , Weihu Ma , Kejiao Li , Guocai Zhang , Jie Zhang
The insecticidal properties of Rudbeckia hirta have been acknowledged, yet they remain underexplored. This study aimed to optimize the extraction conditions, analyze the chemical constituents of ethanol extracts from R. hirta (RHE), assess the insecticidal activity of RHE against Malacosoma neustria testacea larvae, and evaluate its safety for non-target aquatic organisms. The optimal extraction parameters for RHE were determined to be a liquid-solid ratio of 41.4:1 (mL:g), an extraction temperature of 41 °C, and an extraction time of 52 min, resulting in an actual extraction rate of 30.27 ± 0.16%. Chemical analysis identified 22 compounds within RHE, with flavonoids comprising the majority at 75.47%. Bioassays suggested that RHE exhibited significant toxicity against M. neustria testacea larvae, with an LC50 value of 6.44 ± 0.14 mg/mL at 72 h post-treatment. RHE also markedly inhibited larval feeding, digestion, and nutrient absorption. Furthermore, under RHE exposure, detoxification and antioxidant enzyme activities in the larvae were significantly suppressed within 72 h of treatment. Safety assessments indicated that RHE exhibited no toxicity to Danio rerio. These findings suggest that RHE could serve as a natural alternative to chemical pesticides, offering a sustainable approach to managing moth pests in agroforestry systems.
Rudbeckia hirta 的杀虫特性已得到公认,但仍未得到充分探索。本研究旨在优化萃取条件,分析 R. hirta(RHE)乙醇提取物的化学成分,评估 RHE 对 Malacosoma neustria testacea 幼虫的杀虫活性,并评估其对非目标水生生物的安全性。研究确定了 RHE 的最佳萃取参数:液固比为 41.4:1(mL:g),萃取温度为 41 °C,萃取时间为 52 分钟,实际萃取率为 30.27 ± 0.16%。化学分析确定了 RHE 中的 22 种化合物,其中黄酮类化合物占大多数,达 75.47%。生物测定表明,RHE 对睾丸鞘氨醇幼虫具有明显的毒性,处理后 72 小时的半致死浓度为 6.44 ± 0.14 mg/mL。RHE 还明显抑制幼虫的摄食、消化和营养吸收。此外,在暴露于 RHE 的情况下,幼虫体内的解毒和抗氧化酶活性在处理后 72 小时内明显受到抑制。安全评估表明,RHE 对丹利欧没有毒性。这些研究结果表明,RHE 可以作为化学杀虫剂的天然替代品,为管理农林系统中的蛾类害虫提供了一种可持续的方法。
{"title":"Insecticidal activity of the ethanol extracts from Rudbeckia hirta: Efficacy on Lackey moth (Malacosoma neustria testacea) and impact on non-target organisms","authors":"Yajun Wang ,&nbsp;Hung Hai Pham ,&nbsp;Weihu Ma ,&nbsp;Kejiao Li ,&nbsp;Guocai Zhang ,&nbsp;Jie Zhang","doi":"10.1016/j.cropro.2024.107040","DOIUrl":"10.1016/j.cropro.2024.107040","url":null,"abstract":"<div><div>The insecticidal properties of <em>Rudbeckia hirta</em> have been acknowledged, yet they remain underexplored. This study aimed to optimize the extraction conditions, analyze the chemical constituents of ethanol extracts from <em>R. hirta</em> (RHE), assess the insecticidal activity of RHE against <em>Malacosoma neustria testacea</em> larvae, and evaluate its safety for non-target aquatic organisms. The optimal extraction parameters for RHE were determined to be a liquid-solid ratio of 41.4:1 (mL:g), an extraction temperature of 41 °C, and an extraction time of 52 min, resulting in an actual extraction rate of 30.27 ± 0.16%. Chemical analysis identified 22 compounds within RHE, with flavonoids comprising the majority at 75.47%. Bioassays suggested that RHE exhibited significant toxicity against <em>M. neustria testacea</em> larvae, with an LC<sub>50</sub> value of 6.44 ± 0.14 mg/mL at 72 h post-treatment. RHE also markedly inhibited larval feeding, digestion, and nutrient absorption. Furthermore, under RHE exposure, detoxification and antioxidant enzyme activities in the larvae were significantly suppressed within 72 h of treatment. Safety assessments indicated that RHE exhibited no toxicity to <em>Danio rerio</em>. These findings suggest that RHE could serve as a natural alternative to chemical pesticides, offering a sustainable approach to managing moth pests in agroforestry systems.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"189 ","pages":"Article 107040"},"PeriodicalIF":2.5,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142718791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A rapid estimation of intra-row weed density using an integrated CRM, BTSORT and HSV model across entire video stream of chilli crop canopies 利用综合 CRM、BTSORT 和 HSV 模型,在辣椒作物树冠的整个视频流中快速估算行内杂草密度
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-19 DOI: 10.1016/j.cropro.2024.107039
Prakhar Patidar, Peeyush Soni
Intra-row weeds have a significant impact on crop yield and health, competing with crops for nutrients, water, and sunlight. Traditional uniform herbicide applications in weed management not only risk harming the environment but can also compromise crop health. Precision spraying technology, guided by machine vision, offers a solution by accurately identifying and targeting weeds, thereby reducing overall herbicide use. Inter-row weed segmentation can be done easily with simple thresholding, but intra-row region weed cannot be segmented with simple thresholding due to many similarities between the intra-row weeds and plants. So, in this study, a novel methodology is introduced to dynamically estimate intra-row weed density for the entire crop row of chilli by integrating ByteTrack Simple Online and Real Time Tracker (BTSORT) with YOLOv7 crop recognition model to track the plant and Hue-Saturation-Value (HSV) color model with simple thresholding to segment weeds between tracks to avoid repetitive intra-row weed density estimation. The weed density between the plants in these regions is calculated and categorized into low, medium, and high levels based on the number of weed pixels in the intra-row region. The YOLOv7 Crop recognition model recognized the chilli plants with achieved a precision of 0.92 and a recall of 0.94 at 47.39 FPS. The BTSORT with YOLOv7 crop recognition model on a test video dataset performed well with MOTA and MOTP of 0.85 and 0.81, respectively. The developed dynamic intra-row weed density estimation method classifies it with an overall accuracy of 0.87. Additionally, the system processed 1280x720 frames 1.38 times faster than 1920x1080 frames, enabling efficient real-time intra-row weed density estimation across full crop rows.
行内杂草与作物争夺养分、水分和阳光,对作物的产量和健康有很大影响。在杂草管理中,传统的均匀施用除草剂的方法不仅有危害环境的风险,还会损害作物健康。由机器视觉引导的精准喷洒技术提供了一种解决方案,它能准确识别杂草并锁定目标,从而减少除草剂的总体用量。行间杂草的分割可以通过简单的阈值处理轻松完成,但由于行内杂草与植物之间存在许多相似之处,因此无法通过简单的阈值处理分割行内杂草。因此,本研究引入了一种新方法,通过将 ByteTrack Simple Online and Real Time Tracker(BTSORT)与 YOLOv7 作物识别模型相结合来跟踪植物,并使用色相-饱和度-值(HSV)颜色模型和简单阈值来分割轨迹间的杂草,从而动态估计辣椒整个作物行的行内杂草密度,以避免重复估计行内杂草密度。根据行内区域杂草像素的数量,计算出这些区域内植物之间的杂草密度,并将其分为低、中、高三个等级。YOLOv7 作物识别模型在 47.39 FPS 下识别辣椒植物的精确度为 0.92,召回率为 0.94。使用 YOLOv7 农作物识别模型的 BTSORT 在测试视频数据集上表现良好,MOTA 和 MOTP 分别为 0.85 和 0.81。所开发的动态行内杂草密度估算方法对其进行分类的总体准确率为 0.87。此外,该系统处理 1280x720 帧的速度是 1920x1080 帧的 1.38 倍,实现了高效的实时作物行内杂草密度估算。
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引用次数: 0
Differential responses of weeds and rice to shading stress from oilseed rape straw mulch 杂草和水稻对油菜秸秆覆盖物遮阳压力的不同反应
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-19 DOI: 10.1016/j.cropro.2024.107038
Siyu Yang , Chang Chen , Yijiang Yang , Ling Teng , Jie Liu , Wenjun Gui , Jinwen Zhu , Weijun Zhou , A. Sophie Westbrook , Antonio DiTommaso
Oilseed rape (Brassica napus L.) straw mulch suppresses weeds in rice (Oryza sativa L.) cropping systems. This study explores the role of shading in weed suppression by straw mulch through three experiments. The first experiment determined how oilseed rape straw length (powder or 1, 3, 5, 7, or 9 cm), application rate (100, 300, 500, 700, 900 or 1100 g m−2), and moisture (dry or wet) affect shading. Shading was greater with shorter straw lengths, higher application rates, and dry straw. When wet 1 cm straw was applied at the rates above, it blocked 52%, 87%, 96%, 99%, 99% and 99% of light, respectively. The second experiment evaluated germination of rice and seven weeds under an alternating light/dark regime compared with continuous darkness. Rice germination did not differ between the two treatments. Two weed species, barnyardgrass (Echinochloa crus-galli (L.) P. Beauv.) and Chinese sprangletop (Leptochloa chinensis (L.) Nees), exhibited some germination in continuous darkness but higher germination in the light/dark treatment. The remaining five weed species, small-flowered nutsedge (Cyperus difformis L.), eclipta (Eclipta prostrata (L.) L.), eared redstem (Ammannia auriculata Willd.), ricefield flatsedge (Cyperus iria L.), and grasslike fimbry (Fimbristylis littoralis Gaudich.) failed to germinate under the dark treatment. The third experiment measured effects of shading on seedling growth of rice and two weed species, barnyardgrass and eclipta. A few weeks of shading triggered shade avoidance responses and inhibited seedling growth in all three species. These findings demonstrate that oilseed rape straw mulch can effectively reduce weed germination and early growth through shading. This practice does not threaten rice establishment, and indeed may protect rice from later weed–crop competition for light.
油菜(Brassica napus L.)秸秆覆盖能抑制水稻(Oryza sativa L.)种植系统中的杂草。本研究通过三个实验探讨了秸秆覆盖在抑制杂草方面的遮荫作用。第一个实验确定了油菜秸秆长度(粉末或 1、3、5、7 或 9 厘米)、施用量(100、300、500、700、900 或 1100 克 m-2)和水分(干或湿)对遮光的影响。稻草长度越短、施用率越高和稻草越干,遮光效果越好。当按上述比例施用 1 厘米湿稻草时,其遮光率分别为 52%、87%、96%、99%、99% 和 99%。第二项实验评估了水稻和七种杂草在光暗交替与持续黑暗条件下的发芽情况。两种处理的水稻发芽率没有差异。两种杂草,即稗草(Echinochloa crus-galli (L.) P. Beauv.)和芒草(Leptochloa chinensis (L.) Nees),在连续黑暗条件下有一些发芽,但在光照/黑暗交替处理条件下发芽率较高。其余五种杂草,即小花坚果苣苔 (Cyperus difformis L.)、黄夹竹桃 (Eclipta prostrata (L.) L.)、耳红茎 (Ammannia auriculata Willd.)、稻田扁平苣苔 (Cyperus iria L.)和禾本科鱼腥草 (Fimbristylis littoralis Gaudich.) 在黑暗处理下未能发芽。第三项实验测量了遮光对水稻和两种杂草(稗草和蟋蟀草)幼苗生长的影响。几周的遮阴会引发避阴反应,并抑制所有三种杂草的幼苗生长。这些研究结果表明,油菜秸秆覆盖可以通过遮阴有效减少杂草发芽和早期生长。这种做法不会威胁到水稻的生长,事实上还能保护水稻免受后期杂草与作物争夺光照的影响。
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引用次数: 0
Development and effectivity of Solanum sisymbriifolium against potato cyst nematode under field conditions in soils from the southern atlantic area 在南大西洋地区的土壤中,茄属植物在田间条件下的发展和抗马铃薯胞囊线虫的效果
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-16 DOI: 10.1016/j.cropro.2024.107036
Antía Gómez-Armesto , Laura Meno , Servando Álvarez-Pousa , David Fernández-Calviño
Potato cyst nematodes (PCNs), belonging to the genus Globodera spp., are spread worldwide constituting a problem of concern as they can cause considerable losses in crop yields. An alternative to the application of common pesticides is the use of trap crops, that promote the hatching of second-stage juvenile cysts without supporting the feeding and reproduction of these nematodes. For this purpose, in recent years, there has been growing attention to the use of Solanum sisymbriifolium as a biopesticide. In this study, we focused on looking for the best conditions to grow this trap crop under field conditions, contrary to previous studies developed in pots under controlled conditions. Various management strategies, including sowing date and depth, irrigation and soil compaction, to grow S. sisymbriifolium in acid sandy soils (pH 4.3–5.5) have been evaluated. In addition, the efficiency of S. sisymbriifolium was tested under field conditions in three PCN-infested plots. The results indicate that the best conditions for S. sisymbriifolium cropping in South Atlantic latitudes included sowing dates in July and August at 10–15 cm depth, with irrigation and soil compaction after sowing. Under these conditions, a 77%–89% decrease in PCNs was observed with a high initial number of cysts (93–160 per 100g), and even some sub-plots showed a 100% reduction when the initial number of cysts was low (15–52 per 100g). Therefore, S. sisymbriifolium could be an interesting substitute for unspecific chemical nematicides in potato crops to promote sustainable agriculture.
马铃薯胞囊线虫(PCNs)属于 Globodera spp.属,遍布全球,是一个令人担忧的问题,因为它们会给作物产量造成巨大损失。除施用普通杀虫剂外,还有一种替代方法就是使用诱捕作物,这种作物能促进第二阶段幼囊的孵化,而不支持这些线虫的进食和繁殖。为此,近年来越来越多的人开始关注使用茄属植物作为生物杀虫剂。在这项研究中,与之前在控制条件下进行的盆栽研究不同,我们的重点是寻找在田间条件下种植这种诱捕作物的最佳条件。我们评估了在酸性砂质土壤(pH 值为 4.3-5.5)中种植 S. sisymbriifolium 的各种管理策略,包括播种日期和深度、灌溉和土壤压实。此外,还在三块多氯化萘污染地块的实地条件下测试了 S. sisymbriifolium 的生长效率。结果表明,在南大西洋纬度地区种植 S. sisymbriifolium 的最佳条件包括:播种日期为 7 月和 8 月,播种深度为 10-15 厘米,播种后进行灌溉和土壤压实。在这些条件下,当孢子囊初始数量较多(每 100 克 93-160 个)时,多核苷酸的降幅为 77%-89%;当孢子囊初始数量较少时(每 100 克 15-52 个),一些小地块的多核苷酸降幅甚至达到了 100%。因此,S. sisymbriifolium 可以替代马铃薯作物中的非特异性化学杀线虫剂,促进农业可持续发展。
{"title":"Development and effectivity of Solanum sisymbriifolium against potato cyst nematode under field conditions in soils from the southern atlantic area","authors":"Antía Gómez-Armesto ,&nbsp;Laura Meno ,&nbsp;Servando Álvarez-Pousa ,&nbsp;David Fernández-Calviño","doi":"10.1016/j.cropro.2024.107036","DOIUrl":"10.1016/j.cropro.2024.107036","url":null,"abstract":"<div><div>Potato cyst nematodes (PCNs), belonging to the genus <em>Globodera</em> spp., are spread worldwide constituting a problem of concern as they can cause considerable losses in crop yields. An alternative to the application of common pesticides is the use of trap crops, that promote the hatching of second-stage juvenile cysts without supporting the feeding and reproduction of these nematodes. For this purpose, in recent years, there has been growing attention to the use of <em>Solanum sisymbriifolium</em> as a biopesticide. In this study, we focused on looking for the best conditions to grow this trap crop under field conditions, contrary to previous studies developed in pots under controlled conditions. Various management strategies, including sowing date and depth, irrigation and soil compaction, to grow <em>S. sisymbriifolium</em> in acid sandy soils (pH 4.3–5.5) have been evaluated. In addition, the efficiency of <em>S. sisymbriifolium</em> was tested under field conditions in three PCN-infested plots. The results indicate that the best conditions for <em>S. sisymbriifolium</em> cropping in South Atlantic latitudes included sowing dates in July and August at 10–15 cm depth, with irrigation and soil compaction after sowing. Under these conditions, a 77%–89% decrease in PCNs was observed with a high initial number of cysts (93–160 per 100g), and even some sub-plots showed a 100% reduction when the initial number of cysts was low (15–52 per 100g). Therefore, <em>S. sisymbriifolium</em> could be an interesting substitute for unspecific chemical nematicides in potato crops to promote sustainable agriculture.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"188 ","pages":"Article 107036"},"PeriodicalIF":2.5,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MobileH-Transformer: Enabling real-time leaf disease detection using hybrid deep learning approach for smart agriculture MobileH-Transformer:利用混合深度学习方法实现实时叶片病害检测,促进智能农业发展
IF 2.5 2区 农林科学 Q1 AGRONOMY Pub Date : 2024-11-15 DOI: 10.1016/j.cropro.2024.107002
Huy-Tan Thai, Kim-Hung Le
Agriculture has produced the vast majority of food for the world’s population throughout human history and plays a significant role in the economies of many countries, particularly on the continents of Asia and Africa. However, the quality and quantity of crop yields are influenced by various natural factors, including leaf diseases. While recent studies leveraged advanced deep learning models to accurately detect early disease symptoms, a significant gap remains in adapting these models for resource-constrained devices with limited computational capabilities, such as drones and smartphones. In this paper, we introduce MobileH-Transformer, a novel hybrid model combining convolutional neural networks (CNN) and Transformer architectures for accurate leaf disease detection with minimal computation demands. The proposed model integrates the CNN component with a novel dual convolutional block offering the ability to extract diverse features and reduce the input size for the Transformer component. In addition, it leverages CNN’s local feature extraction and Transformer’s global dependency learning, resulting in better accuracy with less computation resource consumption. The evaluation results on public datasets show that our model achieves competitive F1-score values of 97.20% on the corn leaf disease and 96.80% on the subset of the PlantVillage datasets, surpassing recent studies with only 0.4 Giga Floating Point Operations (GFLOPs) and ensures real-time processing on mobile devices at 30.5 frames per second (FPS).
在人类历史上,农业为世界人口生产了绝大多数粮食,在许多国家的经济中发挥着重要作用,尤其是在亚洲和非洲大陆。然而,作物产量的质量和数量受到各种自然因素的影响,包括叶片病害。虽然最近的研究利用先进的深度学习模型来准确检测早期疾病症状,但在将这些模型应用于计算能力有限的资源受限型设备(如无人机和智能手机)方面仍存在巨大差距。在本文中,我们介绍了 MobileH-Transformer,这是一种结合了卷积神经网络(CNN)和 Transformer 架构的新型混合模型,用于以最小的计算需求准确检测叶片疾病。所提出的模型将 CNN 组件与新颖的双卷积块集成在一起,能够提取多种特征并减少 Transformer 组件的输入大小。此外,它还利用了 CNN 的局部特征提取和 Transformer 的全局依赖学习,从而以更少的计算资源消耗获得了更高的准确性。在公共数据集上的评估结果表明,我们的模型在玉米叶病和 PlantVillage 数据集子集上的 F1 分数分别达到了 97.20% 和 96.80%,超过了最近的研究结果,而且只需 0.4 千兆浮点运算 (GFLOP),并确保在移动设备上以每秒 30.5 帧 (FPS) 的速度进行实时处理。
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Crop Protection
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