Evaluation and screening for resistance of some varieties(lines)to major diseases and insect pests of rice

During 1984-1988,2,231 varieties(lines)from International Rice Testing Program(IRTP)were evaluated and screened for resistance to riceblast(Bl),bacterial blight(BB),sheath blight

A Review on the Application of Deep Learning Methods in Detection and Identification of Rice Diseases and Pests

In rice production,the prevention and management of pests and diseases have always received special attention.Traditional methods require human experts,which is costly and time-consuming.Due to the complexity of the structure of rice diseases and pests,quickly and reliably recognizing and locating them is difficult.Recently,deep learning technology has been employed to detect and identify rice diseases and pests.This paper introduces common publicly available datasets;summarizes the applications on rice diseases and pests from the aspects of image recognition,object detection,image segmentation,attention mechanism,and few-shot learning methods according to the network structure differences;and compares the performances of existing studies.Finally,the current issues and challenges are explored fromthe perspective of data acquisition,data processing,and application,providing possible solutions and suggestions.This study aims to review various DL models and provide improved insight into DL techniques and their cutting-edge progress in the prevention and management of rice diseases and pests.

Species and Control Techniques of Main Diseases and Insect Pests of Camellia oleifera in Anhui Province

[Objectives]The paper was to master the species,incidence regularity and control techniques of main diseases and insect pests of Camellia oleifera in Anhui Province.[Methods]The species of main diseases and insect pests of C.oleifera in major C.oleifera afforestation bases and seedling bases in Anhui Province were investigated through field survey and literature search.Afterwards,the symptom characteristics,occurrence regularity and harms of diseases and insect pests were analyzed,and scientific and reasonable control techniques were put forward.[Results]The main diseases of C.oleifera in Anhui Province were soft rot disease,blister blight,anthracnose,sooty blotch,etc.,and the main insect pests were Euproctis pseudoconspersa,Biston marginata,Hypomeces squamosus,Curculio chinensts,Chrenoma atritarsis,etc.The control techniques mainly included ecological regulation,physical prevention and control,chemical prevention and control,and biological prevention and control.[Conclusions]The results will promote the high-quality development of C.oleifera industry in Anhui Province,and contribute to the improvement of China s edible vegetable oil supply and national grain and oil security.

Effects of silicon amendment on the occurrence of rice insect pests and diseases in a field test

Rice is one of the most important staple foods for the world population,but it is attacked by a number of destructive pests.While evidence from greenhouse and laboratory tests has shown that silicon（Si）amendment can confer enhanced resistance to pests in rice,few studies have directly demonstrated the Si-mediated protection from pests in a field situation.In this study,field plots with silicon amendments at 0,75,150 and 300 kg SiO2 ha-1 in early-and late-season rice were employed to evaluate the effects of silicon amendment on the occurrence of major insect pests and diseases and rice yield.Compared with the control plots without silicon amendment,plant damage by stem borer and leaf folder and population size of planthopper were significantly lower in three to five of the seven monitoring observations in each season in the plots amended with 300 kg SiO2 ha-1.The disease index of rice blast in the early-season rice was lower in the plots amended with Si at 300 kg SiO2 ha-1 than in the control plots,while Si protection from rice blast in the late-season rice and from rice sheath blight in the early-season rice were not apparent.An insignificant increase of rice yield by 16.4%（604 kg ha-1）was observed in the plots amended with 300 kg SiO2 ha-1 over the control plots.Our results indicate that Si amendment at 300kg SiO2 ha-1 can provide substantial protection from some of the rice pests under field conditions.These findings support the recommendation of silicon amendment as a key component of integrated management of rice pests.

Effect of Nitrogen Fertilizer on Herbivores and Its Stimulation to Major Insect Pests in Rice

Nitrogen is one of the most important factors in development of herbivore populations. The application of nitrogen fertilizer in plants can normally increase herbivore feeding preference, food consumption, survival, growth, reproduction, and population density, except few examples that nitrogen fertilizer reduces the herbivore performances. In most of the rice growing areas in Asia, the great increases in populations of major insect pests of rice, including planthoppers （Nilaparvata lugens and Sogatella furcifera）, leaffolder （ Cnaphalocrocis rnedinalis）, and stem borers （Scirpophaga incertulas, Chilo suppressalis, S. innotata, C. polychrysus and Sesarnia inferens） were closely related to the long-term excessive application of nitrogen fertilizers. The optimal regime of nitrogen fertilizer in irrigated paddy fields is proposed to improve the fertilizer-nitrogen use efficiency and reduce the environmental pollution.

A Brief Introduction of Main Diseases and Insect Pests in Soybean Production in the Global Top Five Soybean Producing Countries

The United States, Brazil, Argentina, India and China are the major soybean producing countries in the world. Nearly 90% of the world^s soybean production comes from these countries. The occurrence of diseases and insect pests often lead to the reduction of soybean yield, and brings varying degree losses to these countries. This article provides an overview of the impact and measures on soybean main diseases and insect pests in the top five major soybean producing countries over the world. It is concluded that the diseases affecting the soybean yield seriously include Phakopsorapachyrhizi, Heterodera glycines, Septoria glycines, Colletotrichum spp. and Macrophominaphaseolina; and the main insect pests include Anticarsia gemmatalis, Spodoptera litura, Nezara viridula and Frankliniella occidentalis, which will provide information for key prevention and control of soybean main diseases and insect pests in these countries.

Occurrence and Control of Main Soybean Diseases and Insect Pests in Greater Mekong Sub-region

Soybean rust,soybean downy mildew,and soybean thrips,soybean pod borers,and soybean nocturnal moths are the world wide diseases and insect pests in soybean production,which pose a potential threat to soybean production in Great Mekong Sub-region（ GMS）,comprising Cambodia,Lao People＇s Democratic Republic,Myanmar,Thailand,Vietnam,and Yunnan province,the People＇s Republic of China. This paper summarized the host range,epidemiology,damage and control methods of these diseases and insect pests in GMS,with the aim to provide information basis for understanding and effective control of soybean diseases and insect pests in GMS.

Analysis and Study on Characteristics and Detection Methods of Cotton Diseases and Insect Pests

[Objectives]The paper was to find the diseases and insect pests in the process of cotton growth quickly,effectively and timely.[Methods]The growth process of cotton was dynamically monitored by UAV aerial photography,and the aerial data map was converted into geotif image with longitude and latitude and then inputted into the detection system for preprocessing,mainly for image feature extraction and classification.Through deep learning of MATLAB software and BP neural network algorithm,the feature similarity of the images in the established characteristic database of cotton diseases and insect pests was compared.[Results]Through comparative analysis of characteristics of a large number of diseases and insect pests,it was found that deep learning method had high discrimination accuracy and good reliability.[Conclusions]The dynamic detection system using deep learning can well find cotton diseases and insect pests,and achieve early detection and early treatment,so as to effectively improve the yield and quality of cotton.

Integrated Prevention and Control Technology of Major Diseases and Insect Pests of Strawberry

In order to effectively deal with the problems of diseases and insect pests in the growth process of strawberry and to improve the quality and yield of strawberry,the main diseases and insect pests in strawberry cultivation such as powdery mildew,gray mold,anthracnose,red stele root rot,calcium deficiency,salt or fertilizer damage,aphids,red spiders,thrips,grubs,etc.and their identification methods were analyzed.The comprehensive pollution-free prevention and control techniques of these pests and diseases were explored,in order to provide technical guidance for high quality,efficient and harmless production of strawberry.

Species and Occurrence Regularity of Diseases and Insect Pests Harming Baccaurea ramiflora Lour. in Guangxi

[Objectives]The paper was to understand the species and harm of diseases and insect pests of Baccaurea ramiflora Lour.in Guangxi,and to provide basis for the prevention and control of diseases and insect pests.[Methods]From 2018 to 2021,a systematic investigation on diseases and insect pests of B.ramiflora was conducted in Dongxing City,Fangchenggang City,Longzhou County,Pingxiang City,Jingxi City and Napo County in Guangxi.[Results]There were 22 species of diseases and insect pests that harmed B.ramiflora in Guangxi,7 of which were diseases and 15 were insect pests.Leaf blight(Fuasrium spp.)was the main disease at seedling stage,causing severe damage,and anthracnose(Colletotrichum gloeosporioides Penz.)caused moderate damage.Cyclosia papilionaris Drury and Chrysochus chinensis Baly had high frequency of occurrence,wide damage area and severe damage.Cyclosia panthono Stoll and Lcerya aegyptiaca Douglas caused moderate damage,while other insect pests caused light damage.[Conclusions]The study lays a foundation for the scientific prevention and control of B.ramiflora diseases and insect pests,and promotes the sustainable and rapid development of B.ramiflora industry in Guangxi.

Green Prevention and Control Technology against Main Diseases and Insect Pests of Facility Tomato

In recent years,with the increasing planting area of facility tomato,diseases and insect pests such as tomato grey mold(Botrytis cinerea),early blight(Alternaria solani),late blight(Phytophthora infestans),and whitefly(Trialeurodes uaporariorum) occur frequently,causing severe harms and difficulties in prevention and control.In order to ensure the normal production of facility tomato and improve the yield and quality of tomato,the corresponding prevention and control measures are put forward according to the regularity of the occurrence of diseases and insect pests and the characteristics of facility environment,which has certain guiding significance for agricultural production.

Detection and Monitoring of Key Hazard Factors for Quality and Safety of Characteristic Berries and Standardized Production Technology and Application

Blueberry,kiwifruit,Rosa roxburghii,and raspberry are the characteristic fruits planted in Guizhou Province.However,in recent years,harmful factors such as plant diseases and insect pests,pesticides and heavy metal residues have affected the quality and safety of blueberry,kiwifruit,R.roxburghii,raspberry and other berries.These problems mainly include the frequent occurrence of plant diseases and insect pests,pesticide residues and heavy metal pollution,which not only seriously affect the quality and safety of berries,but also restrict the healthy development of berry industry.Therefore,it is very important to study the detection and monitoring of key hazard factors affecting the quality and safety of blueberry,kiwifruit,R.roxburghii and raspberry,as well as the standardized production technology.Using literature analysis,field investigation,questionnaire survey,comprehensive analysis,SWOT analysis,laboratory testing and other methods,this paper made a comprehensive and in-depth study of the berry industry in Guizhou Province.Through the analysis of the current situation of the berry industry in Guizhou Province,the problems and shortcomings in the planting,management,sales and other aspects of the industry were revealed.In order to solve these problems,a series of practical measures were put forward,including strengthening pest control,optimizing pesticide application technology,and strictly controlling heavy metal pollution,so as to ensure the healthy and stable development of berry industry.The implementation of these measures will help to improve the overall quality level of the berry industry in Guizhou Province.

The Predatory Function of Three Spiders to Two Insect Pests in Rice Within a Multi-species Co-existence System

The prey-seeking behavior of three spiders (X1-Pirata subpiraticus, X2-Clubiona japonicola and X3-Tetragnatha japonica) for brown plant hopper (X4-Nilaparvata lugens) and rice spittle bug (X5-Cal-litettix versicolor) was investigated, as well as how interference between and within species occurred, by using a quadratic regression rotational composite design. Six predation models derived from the analysis of interactions among and within predators and preys were developed. The total predatory capacity of spiders on rice insect pests after coexistence for one day can be expressed as follows: Y3 = 32.795 + 2.25X1 + 1.083X2 + 0.5X3 + 10.167X4 + 3.167X5 - 1.67X12 - 2.42X22 - 3.295X32 - 0.045X42 + 0.455X52 - 3.125X1X2 + 0.375X1X3 -0.625X1X4 - 0.375X1X5 + 0.375X2X3 - 0.875X2X4 + 0.125X2X5 + 0.375X3X4 - 0.375X3X5 + 0.125X4X5. The principal efficiency analysis using this model indicated that increases in insect pest density significantly increased predation by predators; this was much greater than the effect of any single predator. X4 had a greater effect than X5; however, X4 and X5 demonstrated little interspecific interference and even promoted each other and increased predation rates as the densities of the two pests increased. Among the three predators, an increase in the density of X, had the greatest effect on the increase in predation, X3 had the second, X2 the third greatest effect. As predator density increased inter- and intra-species interference occurred, which were largely related to the size, activity, niche breadth, niche overlap and searching efficiency of the predators. X2 produced the greatest interference between different individuals and between any other predator species. X3 had the second greatest, which reduced predation levels at high predator densities. Because of these factors, the highest predation rate was obtained at a prey density of 120 per 4 rice-hills. The optimal proportion of the three predators in the multi-predator prey system was X1: X2: X3 = 5.6:1.3:4.1.

Biological control of rice disease and insect by chitinase-producing bacterium X2-23

Enriched by the-medium containingchitin and cell wall of Phizoctoniasolani AG-1,a bacterium X2-23 withhigher chitinase activity was isolatedfrom 166 chitinase-producing bacteria.It could distinctly inhibit the fungi

Social Cost Analysis of Biological Control Technology for Crop Diseases and Insect Pests

With the rapid development of modern agriculture,the prevention and control of crop diseases and insect pests has become an important part to ensure the safety of agricultural production,the quality of agricultural products and the safety of agricultural ecological environment.Although the effect of traditional chemical prevention and control technology is remarkable,the health risks and environmental problems brought by it should not be ignored.As a green and environmentally friendly means of prevention and control,biological prevention and control technology has gradually become a hot research topic and a trend of agricultural production.This paper is intended to comprehensively evaluate the social costs of biological control technologies for crop diseases and pests,including the health risks reduced,environmental improvements,economic benefits,and barriers to promotion,and put forward corresponding policy recommendations.

A Novel Agricultural Data Sharing Mode Based on Rice Disease Identification

In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.

Mapping of a New Gene Wbph6(t) Resistant to the Whitebacked Planthopper, Sogatella furcifera, in Rice

A rice population consisting of 90 TN1/Guiyigu F3 lines was employed to analyze the linkage between DNA markers and a new gene Wbph6(t) conferring resistance to whitebacked planthopper, Sogatella furcifera By using the mapping approach of bulked extremes and recessive class, Wbph6(t) was mapped onto the short arm of chromosome 11 with a genetic distance of 21.2 cM to SSLP marker RM167.

Impact of Climate Change on Epidemiology of Various Pests of Wheat Crop in Punjab Pakistan

Wheat [Triticum aestivum L. (Poaceae)] is the staple diet of people in Pakistan. It is attacked by many types of pests. Therefore the purpose of this study was to assess the impact of climate change on the ecology and epidemiology of various wheat pests in Punjab, Pakistan. Results indicate that maximum weeds hot spots 242 (5.98%) Phalaris minor, 45 (1.18%) wild oat and 203 (5.01%) broad leaf weeds were noted in 2015. Aphid 31 (0.86%) hot spots were recorded in 2016 while maximum army worm 13 (0.26%) hot spots were noted in 2017. Maximum 70 (1.73%) spots of yellow rust and 85 (2.10%) hot spots of brown rust were observed during 2015 while 84 (4.16%) spots of loose smut were observed during 2017. ANOVA shows that years have no significant difference (P > 0.05) but weeks have significant effect on occurrence of these pest incidences except brown rust. But regression ANOVA was significant (P ≤ 0.05) and regression models equations have been developed on the bases of recorded data. Pest incidence was taken as dependent variable Y and weather factors i.e. minimum temperature as X1, maximum temperature as X2, relative humidity as X3 and rain fall as X4 were taken as independent variables. This study will help in recommendations for moving forward aiming at integration of biology of rust and smut diseases of wheat with changing climate for development of resistant varieties for resilient and durable management of these pathogens.

Do forest health threats affect upland oak regeneration and recruitment?Advance reproduction is a key co-morbidity

We analyzed national forest inventory data collected from circa 2000–2018 across 37 states in the eastern United States to better understand the influence of forest health related canopy disturbances on the regeneration and recruitment dynamics of upland oaks(Quercus).We found low levels of oak recruitment across all disturbance types examined but limited evidence of any direct effects from the type of disturbance on the population of regenerating oaks.The general lack of differences in oak regeneration response between forest health disturbances and disturbances caused by harvested or non-disturbed plots does not indicate that the effects of forest health disturbances were benign,however.Instead,low level of oak recruitment across all disturbance types highlights the pervasiveness of the trend of shifting composition in once oak-dominated forests where oak is absent or sparse in the regeneration layer.Our results show that oak recruitment was higher when oak was present as advance reproduction prior to disturbance from any cause examined.Collectively,these results lead us to conclude that the widespread inadequacy of oak advance reproduction in mature oak-dominated forests is the prevailing threat to oak forest health and sustainability.We suggest the status of advance reproduction be treated as a co-morbidity when weighing the risk and potential outcomes from other threats to upland oak forests in the eastern United States.