Control of cotton pests and diseases by intercropping: A review

Chi, Baojie; Zhang, Dongmei; Dong, Hezhong

doi:10.1016/s2095-3119(20)63318-4

Cited by 52 publications

(29 citation statements)

References 54 publications

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“…Usually spraying a large amount of fungicides on the foliage can prevent the occurrence of Verticillium wilt (Lang et al, 2012 ). However, this strategy not only requires a mass of labor and material costs, but easily damages the ecological environment of cotton fields (Chi et al, 2021 ). To save costs and achieve sustainable planting, fixed-point quantitative fertilization and precise pesticide application can be used for misuse and overuse of chemical fertilizer and pesticide.…”

Section: Introductionmentioning

confidence: 99%

Cotton boll localization method based on point annotation and multi-scale fusion

Sun

Yang

et al. 2022

Front. Plant Sci.

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Cotton is an important source of fiber. The precise and intelligent management of cotton fields is the top priority of cotton production. Many intelligent management methods of cotton fields are inseparable from cotton boll localization, such as automated cotton picking, sustainable boll pest control, boll maturity analysis, and yield estimation. At present, object detection methods are widely used for crop localization. However, object detection methods require relatively expensive bounding box annotations for supervised learning, and some non-object regions are inevitably included in the annotated bounding boxes. The features of these non-object regions may cause misjudgment by the network model. Unlike bounding box annotations, point annotations are less expensive to label and the annotated points are only likely to belong to the object. Considering these advantages of point annotation, a point annotation-based multi-scale cotton boll localization method is proposed, called MCBLNet. It is mainly composed of scene encoding for feature extraction, location decoding for localization prediction and localization map fusion for multi-scale information association. To evaluate the robustness and accuracy of MCBLNet, we conduct experiments on our constructed cotton boll localization (CBL) dataset (300 in-field cotton boll images). Experimental results demonstrate that MCBLNet method improves by 49.4% average precision on CBL dataset compared with typically point-based localization state-of-the-arts. Additionally, MCBLNet method outperforms or at least comparable with common object detection methods.

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Section: Introductionmentioning

confidence: 99%

Cotton boll localization method based on point annotation and multi-scale fusion

Sun

Yang

et al. 2022

Front. Plant Sci.

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“…Verticillium wilt of cotton is a serious soil-borne disease that seriously affects the yield and quality of cotton. Due to increased environmental awareness and the need for sustainable cotton production, the use of intercropping to control cotton diseases is receiving increasing attention [24]. Intercropping garlic with cotton is currently one of the main cropping systems in China [25].…”

Section: Discussionmentioning

confidence: 99%

The effects and interrelationships of intercropping on Cotton Verticillium wilt and soil microbial communities

Zhang

Yang

et al. 2022

Preprint

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Background: Cotton Verticillium wilt, causing by Verticillium dahliae, has seriously affected the yield and quality of cotton. The incidence of Verticillium wilt in cotton fields has been on the rise for many years, especially after straw has been returned to the fields. Intercropping can reduce the incidence of soil borne diseases and is often used to control crop diseases, but the relationship between the effects of intercropping on microbial communities and the occurrence of plant diseases is unclear. This research explored the relationship between soil microbial community structure and Cotton Verticillium wilt in interplanting of cotton-onion, cotton-garlic, cotton-wheat and cotton monocultures. Amplicon sequencing applied to the profile of bacterial and fungal communities. Results: The results showed that the disease index of Cotton Verticillium wilt was significantly reduced after intercropping with cotton-garlic and cotton-onion. Chao1 and Sobs indices were not significantly different in the rhizosphere soil and pre-plant soils of the four planting patterns, but the pre-plant fungal shannon index was significantly lower in the cotton-onion intercropping plot than in the other three plots. PCoA analysis showed that the soil microbial communities changed to a certain extent after intercropping, with large differences in the microbial communities under different cropping patterns. The abundance of Chaetomium was highest in the cotton-garlic intercropping before planting; the abundance of Penicillium was significantly higher in the cotton-wheat intercropping than in the other three systems. Conclusion: Cotton-garlic and cotton-onion interplanting can control Cotton Verticillium wilt by affecting the soil microbial community. Fungi of the genera Chaetomium and Penicillium may be associated with plant disease resistance.

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“…One important aspect to consider in crops where intercropped aromatic plants are established to repel phytophagous insects is to know well the conditions and growth dynamic of the aromatic species to be included in the agroecosystem, due to the fact that they present problems of adaptation, as slow growth, or damage from phytoparasites, in the area of the crop. This would affect the amount of VOC emitted and consequently their efficiency as repellent of phytophagous insects (Chi et al, 2021).…”

Section: Viral Infection Of Tomatomentioning

confidence: 99%

RESPONSE OF Bemisia tabaci Genn TO THE ASSOCIATION TOMATO−AROMATIC PLANT

Herrera-Gorocica¹,

Ruíz-Sánchez²,

Ballina-Gómez³

et al. 2022

agro

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The silverleaf whitefly (Bemisia tabaci) is the most harmful pest for vegetables in tropical zones. One alternative for its ecological management is the use of repellent aromatic plants. The hypothesis of this study is that the aromatic plants that diminish the attraction of B. tabaci to tomato have the capacity to prevent the infestation of this pest in the tomato crop when an intercropping system of tomato-aromatic plant is established. The objective of this study was to evaluate by means of the technique of olfactometry, the response of B. tabaci to the volatiles emitted by the crushed leaves of tomato and by the combination tomato + aromatic plant. The aromatic plants with highest activity in the olfactometry tests were intercropped in a tomato crop in the field. In the bioassays of olfactometry, a significant decrease was observed in the attraction of B. tabaci to crushed leaves of tomato + some aromatic plants compared with the attraction to tomato alone. The repellence indices (IR) showed that the aromatics Lavandula angustifolia Mill. (IR, 0.1), Petiveria alliacea L. (IR, 0.48), Petroselinum crispum Mill. (IR, 0.28) and Thymus vulgaris (IR, 0.5) had the greatest effect as repellent of adults. By integrating these aromatic species through intercropping in the tomato field crop, no significant difference was observed in the population density of eggs and adults of B. tabaci in the tomato foliage in regard to what was observed in the control (only tomato). The incidence and severity of viral symptoms did not decrease from the presence of the aromatic species intercropped in the tomato crop.

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Control of cotton pests and diseases by intercropping: A review

Cited by 52 publications

References 54 publications

Cotton boll localization method based on point annotation and multi-scale fusion

Cotton boll localization method based on point annotation and multi-scale fusion

The effects and interrelationships of intercropping on Cotton Verticillium wilt and soil microbial communities

RESPONSE OF Bemisia tabaci Genn TO THE ASSOCIATION TOMATO−AROMATIC PLANT

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