Fusarium head blight(FHB)is a serious fungal disease that affect small grain cereals,causing significant wheat(Triticum aestivum L.)yield and quality losses globally.Breeding disease-resistant wheat varieties is key t...Fusarium head blight(FHB)is a serious fungal disease that affect small grain cereals,causing significant wheat(Triticum aestivum L.)yield and quality losses globally.Breeding disease-resistant wheat varieties is key to address FHB-related challenges,but its progress is delayed by traditional methods due to the small-scale,laborious and relatively subjective nature of manual assessment.This study presents a new approach that combines ultralow-altitude drone phenotyping with an optimized You Only Look Once(YOLO)model to examine FHB in wheat,enabling us to perform large-scale and automated symptomatic analysis of this disease.We first established an Open FHB(OFHB)training dataset,consisting of 4867 diseased and 106,801 healthy spikes collected from 132 commercial breeding lines during FHB progression.Then,a deep learning model called YOLOv8-WFD was trained for detecting healthy and diseased spikes,followed by an adaptive Excess Green method to identify symptomatic regions and thus FHBrelated traits on spikes.To study resistance levels,we employed an unsupervised SHapley Additive exPlanations(SHAP)method to pinpoint key traits between 10 and 20 d after inoculation(DAIs),resulting in the classification of 423 varieties trialed during the 2023–2024 growing seasons into four resistance levels(i.e.,highly and moderately susceptible,and moderately and highly resistant),which were highly correlated with field specialists’evaluations.Finally,we derived disease developmental curves based on measures of key traits during 10–20 DAI,quantifying varietal disease progression patterns over time.To our knowledge,this work represents a significant advancement in large-scale disease phenotyping and automated analysis of FHB in wheat,providing a valuable toolkit for breeders and plant researchers to assess resistance levels,select disease-resistant varieties,and understand dynamics of the fungal disease.展开更多
Wheat powdery mildew caused by Blumeria graminis f.sp.tritici(Bgt)is an important disease worldwide.Detection of latent infection of leaves by the pathogen in late autumn is valuable for estimating the inoculum potent...Wheat powdery mildew caused by Blumeria graminis f.sp.tritici(Bgt)is an important disease worldwide.Detection of latent infection of leaves by the pathogen in late autumn is valuable for estimating the inoculum potential to assess disease risks in the spring.We developed a new tool for rapid detection and quantification of latent infection of seedlings by the pathogen.The method was based on recombinase polymerase amplification(RPA)coupled with an end-point detection via lateral flow device(LFD).The limit of detection is 100 agμL^(-1)of Bgt DNA,without noticeable interference from either other common wheat pathogens or wheat material(Triticum aestivum).It was evaluated on wheat seedlings for this accuracy and sensitivity in detecting latent infection of Bgt.We further extended this RPALFD assay to estimate the level of latent infection by Bgt based on imaging analysis.There was a strong correlation between the image-based and real-time PCR assay estimates of Bgt DNA.The present results suggested that this new tool can provide rapid and accurate quantification of Bgt in latently infected leaves and can be further development as an on-site monitoring tool.展开更多
Strawberry shape uniformity is a complex trait,influenced by multiple genetic and environmental components.To complicate matters further,the phenotypic assessment of strawberry uniformity is confounded by the difficul...Strawberry shape uniformity is a complex trait,influenced by multiple genetic and environmental components.To complicate matters further,the phenotypic assessment of strawberry uniformity is confounded by the difficulty of quantifying geometric parameters‘by eye’and variation between assessors.An in-depth genetic analysis of strawberry uniformity has not been undertaken to date,due to the lack of accurate and objective data.Nonetheless,uniformity remains one of the most important fruit quality selection criteria for the development of a new variety.In this study,a 3D-imaging approach was developed to characterise berry shape uniformity.We show that circularity of the maximum circumference had the closest predictive relationship with the manual uniformity score.Combining five or six automated metrics provided the best predictive model,indicating that human assessment of uniformity is highly complex.Furthermore,visual assessment of strawberry fruit quality in a multi-parental QTL mapping population has allowed the identification of genetic components controlling uniformity.A“regular shape”QTL was identified and found to be associated with three uniformity metrics.The QTL was present across a wide array of germplasm,indicating a potential candidate for marker-assisted breeding,while the potential to implement genomic selection is explored.A greater understanding of berry uniformity has been achieved through the study of the relative impact of automated metrics on human perceived uniformity.Furthermore,the comprehensive definition of strawberry shape uniformity using 3D imaging tools has allowed precision phenotyping,which has improved the accuracy of trait quantification and unlocked the ability to accurately select for uniform berries.展开更多
Plant growth regulators are biologically active signaling molecules that regulate a number of plant physiological processes. Auxin(indole-3-acetic acid) is an important plant growth regulator and is synthesized within...Plant growth regulators are biologically active signaling molecules that regulate a number of plant physiological processes. Auxin(indole-3-acetic acid) is an important plant growth regulator and is synthesized within plant tissues through L-tryptophan(L-TRP)-dependent and-independent pathways. It has been found that plants respond to exogenously applied L-TRP due to insufficient endogenous auxin biosynthesis. The exogenous application of L-TRP is highly significant for normal plant growth and development.L-tryptophan is applied through foliar spray, seed priming, and soil application. Soil-applied L-TRP is either directly taken up by plants or metabolized to auxin by soil microbiota and then absorbed by plant roots. Similarly, foliar spray and seed priming with L-TRP stimulates auxin synthesis within plants and improves the growth and productivity of agricultural crops. Furthermore, L-TRP contains approximately 14% nitrogen(N) in its composition, which is released upon its metabolism within a plant or in the rhizosphere and plays a role in enhancing crop productivity. This review deals with assessing crop responses under the exogenous application of L-TRP in normal and stressed environments, mode of action of L-TRP, advantages of using L-TRP over other auxin precursors, and role of the simultaneous use of L-TRP and auxin-producing microbes in improving the productivity of agricultural crops. To the best of our knowledge, this is the first review reporting the importance of the use of L-TRP in agriculture.展开更多
The cultivated strawberry,Fragaria×ananassa(Fragaria spp.)is the most economically important global soft fruit.Phytophthora cactorum,a water-borne oomycete causes economic losses in strawberry production globally...The cultivated strawberry,Fragaria×ananassa(Fragaria spp.)is the most economically important global soft fruit.Phytophthora cactorum,a water-borne oomycete causes economic losses in strawberry production globally.A biparental cross of octoploid cultivated strawberry segregating for resistance to P.cactorum,the causative agent of crown rot disease,was screened using artificial inoculation.Multiple putative resistance quantitative trait loci(QTL)were identified and mapped.Three major effect QTL(FaRPc6C,FaRPc6D and FaRPc7D)explained 37%of the variation observed.There were no epistatic interactions detected between the three major QTLs.Testing a subset of the mapping population progeny against a range of P.cactorum isolates revealed no significant interaction(p=0.0593).However,some lines showed higher susceptibility than predicted,indicating that additional undetected factors may affect the expression of some quantitative resistance loci.Using historic crown rot disease score data from strawberry accessions,a preliminary genome-wide association study(GWAS)of 114 individuals revealed an additional locus associated with resistance to P.cactorum.Mining of the Fragaria vesca Hawaii 4 v1.1 genome revealed candidate resistance genes in the QTL regions.展开更多
Background:Sucking insect pests cause severe damage to cotton crop production.The development of insect resistant cotton cultivars is one of the most effective measures in curtailing the yield losses.Considering the r...Background:Sucking insect pests cause severe damage to cotton crop production.The development of insect resistant cotton cultivars is one of the most effective measures in curtailing the yield losses.Considering the role of morphological and biochemical host plant resista nee(HPR)traits in plant defense,12 cotton genotypes/varieties were evaluated for leaf area,leaf glanding,total soluble sugars,total soluble proteins,total phenolics,tannin and total flavonoids against fluctuating populations of whitefly,thrips and jassid under field conditions.Results:The population of these insects fluctuated during the growing seas on and remained above threshold level(whitefly>5,thrips>(8-10)f or jassid>1 per leaf)during late June and early July.Strong and negative association of whitefly(r=-0.825)and jassid(r=-0.929)with seed cotton yield was observed.Mean population of insects were the highest in Glandless-1 followed by NIA-82 and NIA-M30.NIAB-Kiran followed by NI AB-878 and Sadori were the most resistant,with the mean population of 1.41,1.60,1.66(whitefly);2.24,232,2.53(thrips)and 037,0.31,036(jassid),respectively.The resistant variety NIAB-Kiran showed less soluble sugars(8.54 mg.g^(-1)),soluble proteins(27.11 mg.g^(-1))and more phenolic(36.56 mg.g^(-1))and flavonoids(13.10mg.g^(-1))as compared with the susceptible check Glandless-1.Moreover,all insect populations were positively correlated with total soluble sugars and proteins.Whitefly populations exhibited negative response to leaf gossypol glands,total phenolics,tannins and flavonoids.The thrips and jassid populations had a significant and negative correlation with these four biochemical HPR traits.Conclusion:The ide ntified resistant resources and HPR traits can be deployed against sucking in sect pests'complex in future breeding programs of developing insect resistant cotton varieties.展开更多
Studies were conducted to identify candidate soil microbes responsible for observed differences in strawberry vigour at a small spatial scale, which was not associated with visual disease symptoms. Samples were obtain...Studies were conducted to identify candidate soil microbes responsible for observed differences in strawberry vigour at a small spatial scale, which was not associated with visual disease symptoms. Samples were obtained from the soils close to the rhizosphere of ‘big＇ and ‘small＇ plants from small plots which exhibited large local heterogeneity in plant vigour. A metabarcoding approach was used to profile bacterial and fungal compositions, using two primer pairs for 16 S ribosomal RNA genes（16S r DNA） and one for the fungal internal transcribed spacer（ITS） region. Of the two 16 S r DNA primer sets, the 341F/805 R resulted in sequences of better quality. A total 28 operational taxonomic units（OTUs） had differential relative abundance between samples from ‘big＇ and ‘small＇ plants. However, plausible biological explanation was only possible for three fungal OTUs. Two were possible phytopathogens： Verticillium spp. and Alternaria alternata although the latter has never been considered as a main pathogen of strawberry in the UK. For samples from ‘small＇ plants, the abundance of these OTUs was much greater than from ‘big＇ plants. The opposite was true for a mycorrhizal OTU. These results suggest that soil microbes related to crop production can be identified using metabarcoding technique. Further research is needed to assess whether A. alternata and Verticillium spp. could affect strawberry growth in the field.展开更多
Rice, a staple cereal crop in many parts of the world, has been confronted with multiple environmental stresses including high temperature, negatively impacts the booting as well as anthesis growth stages. The situati...Rice, a staple cereal crop in many parts of the world, has been confronted with multiple environmental stresses including high temperature, negatively impacts the booting as well as anthesis growth stages. The situation is further complicated by the changing climatic conditions, resulting in gradual escalation of temperature as well as changing the rainfall pattern and frequency, thus raising a concern of food security worldwide. The situation can be combat by developing rice varieties with excellent genetics with improved morpho-physiological, biochemical, and molecular mechanisms, together can minimize the adverse effects of heat stress. Here, several strategies(encompassing genetic and genomic, and mechanisms involved) for mitigating the impact of high temperature on rice have been discussed. Finally, the utilization of genomic knowledge in augmenting the conventional breeding approaches have been comprehensively elaborated to develop heat tolerant germplasm.展开更多
Several long-term studies have provided strong support demonstrating that growing crops under elevated[CO_(2)]can increase photosynthesis and result in an increase in yield,flavour and nutritional content(including bu...Several long-term studies have provided strong support demonstrating that growing crops under elevated[CO_(2)]can increase photosynthesis and result in an increase in yield,flavour and nutritional content(including but not limited to Vitamins C,E and pro-vitamin A).In the case of tomato,increases in yield by as much as 80%are observed when plants are cultivated at 1000 ppm[CO_(2)],which is consistent with current commercial greenhouse productionmethods in the tomato fruit industry.These results provide a clear demonstration of the potential for elevating[CO_(2)]for improving yield and quality in greenhouse crops.The major focus of this review is to bring together 50 years of observations evaluating the impact of elevated[CO_(2)]on fruit yield and fruit nutritional quality.In the final section,we consider the need to engineer improvements to photosynthesis and nitrogen assimilation to allow plants to take greater advantage of elevated CO_(2) growth conditions.展开更多
The cultivated strawberry(Fragaria×ananassa)is an allo-octoploid species,originating nearly 300 years ago from wild progenitors from the Americas.Since that time the strawberry has become the most widely cultivat...The cultivated strawberry(Fragaria×ananassa)is an allo-octoploid species,originating nearly 300 years ago from wild progenitors from the Americas.Since that time the strawberry has become the most widely cultivated fruit crop in the world,universally appealing due to its sensory qualities and health benefits.The recent publication of the first highquality chromosome-scale octoploid strawberry genome(cv.Camarosa)is enabling rapid advances in genetics,stimulating scientific debate and provoking new research questions.In this forward-looking review we propose avenues of research toward new biological insights and applications to agriculture.Among these are the origins of the genome,characterization of genetic variants,and big data approaches to breeding.Key areas of research in molecular biology will include the control of flowering,fruit development,fruit quality,and plant–pathogen interactions.In order to realize this potential as a global community,investments in genome resources must be continually augmented.展开更多
Information about disease management in winter wheat （Triticum aestiva） in eight European countries was collated and analysed by scientists and extension workers within the European Network for the Durable Exploitat...Information about disease management in winter wheat （Triticum aestiva） in eight European countries was collated and analysed by scientists and extension workers within the European Network for the Durable Exploitation of Crop Protection Strategies （ENDURE）. This included information about specific disease thresholds, decision support systems, host varieties, disease prevalence and pathogen virulence. Major differences in disease prevalence and economic importance were observed. Septoria tritici blotch （Mycosphaerella graminicola） was recognized as the most yield reducing disease in countries with intensive wheat production, but also rust diseases （Puccinia striiformis and Puccinia triticina）, powdery mildew （Blumeria graminis） and Fusarium head blight （Fusarium spp.） were seen as serious disease problems. Examples of current integrated pest management （IPM） strategies in different countries have been reported. Disease management and fungicide use patterns showed major differences, with an average input equivalent to 2.3 full dose rates （TFI） in the UK and a TFI of 0.6 in Denmark. These differences are most likely due to a combination of different cropping systems, climatic differences, disease prevalence, and socio-economic factors. The web based information platform www.eurowheat.org was used for dissemination of information and results including information on control thresholds, cultural practices which can influence disease attack, fungicide efficacy, fungicide resistance, and pathogen virulence, which are all elements supporting 1PM for disease control in wheat. The platform is open to all users. The target groups of EuroWheat information are researchers, advisors, breeders, and similar partners dealing with disease management in wheat.展开更多
This paper presents the work conducted on the chemical constituents of some common and widely distributed halophyte taxa from Cyprus with the aim that these studies will help in the evaluation of halophytes for differ...This paper presents the work conducted on the chemical constituents of some common and widely distributed halophyte taxa from Cyprus with the aim that these studies will help in the evaluation of halophytes for different economical purposes.The plant species of Crithmum maritimum L.,Limbarda crithmoides(L.)Dumort,Atriplex portulacoides L.,Salsola kali L.,Atriplex halimus L.,Limonium oleifolium Mill.,L.meyeri(Boiss.)Kuntze;and Tetraena alba(L.f.)Beier&Thulin were collected in the middle of July.The shoot tissue and leaf samples were collected from the natural habitats and left for drying under air circulation followed by placing them in oven at 60°C for 96 hours.The material was crushed using mortar and pestle and subjected to an analysis of macro-and micro-nutrients and biochemical compounds.K+/Na+in the leaf tissues of the dicot species showed relatively high values depicting their behavior as Na+includes but very low Cl-levels were recorded.Out of the species investigated here in 4 TFAA content was rather high.Values ranging from 0.5%to 1%dry weight were exhibited in one species.However,only 3 species showed very low TFAA values.Later may be due to low nitrogen availability in their environment.The phenetic analyses of eight halophyte species performed on the data matrix using Ntsys-pc program version 2.1 revealed that,cluster analysis of the overall results obtained here leads to 2 clusters.This discrimination appears to be as a result of their different abilities to accumulate either proline or glycine betaine.展开更多
Nanotechnology has substantially advanced imaging,therapy,and clinical techniques,playing a crucial role in the development of sustainable functional materials in biomedical engineering.Nanoparticles,used as contrast ...Nanotechnology has substantially advanced imaging,therapy,and clinical techniques,playing a crucial role in the development of sustainable functional materials in biomedical engineering.Nanoparticles,used as contrast agents in multimodal imaging,offer notable advantages due to their high surface areato-volume ratio,enabling functionalization with targeting ligands for improved specificity and sensitivity.They can also carry multiple imaging agents or therapeutic drugs,promoting theranostics,an approach combining diagnosis and treatment.However,the need for high-dose contrast agents raises concerns about nanoparticle toxicity.Green nanotechnology addresses this by developing sustainable nanoparticles through eco-friendly synthesis methods,reducing environmental and health risks.Moreover,by using this method,safer imaging agents that align with current health standards can be generated.In parallel,recent advancements in artificial intelligence(AI)are transforming imaging applications.Beyond simple automation of image interpretation,AI is enhancing image acquisition,management,and interpretation,signaling a future where intelligent systems play a key role in healthcare.This review explores the diverse nanomaterials utilized as contrast agents in multimodal imaging,highlights the importance of green nanotechnology in minimizing toxicity,and emphasizes on the important role of AI in imaging and imageguided therapy.Together,these innovations are advancing precision healthcare,promising a future where diagnostics and treatment are not only more effective but also sustainable.展开更多
Color accuracy and consistency in remote sensing imagery are crucial for reliable plant health monitoring,precise growth stage identification,and stress detection.However,without effective color correction,variations ...Color accuracy and consistency in remote sensing imagery are crucial for reliable plant health monitoring,precise growth stage identification,and stress detection.However,without effective color correction,variations in lighting and sensor sensitivity often cause color distortions between images,compromising data quality and analysis.This study introduces a novel in-flight color correction approach for RGB imagery using cooperative dual unmanned aerial vehicle(UAV)flights integrated with a color chart(CoF-CC).The method employs a master UAV equipped with an RGB camera for image acquisition and a synchronized secondary UAV carrying a ColorChecker(X-Rite)chart,ensuring persistent visibility of the chart within the imaging field of the master UAV for the calculation of a color correction matrix(CCM)for in-flight image correction.Field experiments validated the method by analyzing cross-sensor color consistency,assessing color measurement accuracy on field-grown rice leaves,and demonstrating its practical applications using rice maturity estimation as an example.The re-sults indicated that the CCM significantly enhanced color accuracy,with a 66.1%reduction in the average CIE 2000 color difference(△E),and improved color consistency among the six RGB sensors,with a 70.2%increase in the intracluster distance.CoF-CC subsequently reduced △E from 18.2 to 5.0 between the corrected rice leaf color and ground-truth measurements,indicating that the color differences were nearly perceptible to the human eye.Moreover,the corrected imagery significantly enhanced the rice maturity prediction accuracy,improving the R^(2) from 0.28 to 0.67.In summary,the CoF-CC method standardizes RGB images across diverse lighting conditions and sensors,demonstrating robust performance in color analysis and interpretation under open-field conditions.展开更多
基金supported by the Biological Breeding-National Science and Technology Major Project(2023ZD04025 to Xiu’e Wang)the Seed Industry Revitalization Project of Jiangsu Province(JBGS(2021)006 to Xiu’e Wang)+3 种基金the National Natural Science Foundation of China(32070400 to Ji Zhou)Ji Zhou,Robert Jackson,and Greg Deakin were partially supported by the Allan&Gill Gray Foundation’Sustainable Productivity for Crop Improvement(G118688 to the University of Cambridge and Q-20-0370 to NIAB)Ji Zhou was supported by the United Kingdom Research and Innovation’s(UKRI)Biotechnology and Bio logical Sciences Research Council(BBSRC)AI in Bioscience Grant(BB/Y513969/1 to Ji Zhou)The UK-China research activities were supported by the BBSRC’s International Partnership Grant(BB/Y514081/1 to NIAB)
文摘Fusarium head blight(FHB)is a serious fungal disease that affect small grain cereals,causing significant wheat(Triticum aestivum L.)yield and quality losses globally.Breeding disease-resistant wheat varieties is key to address FHB-related challenges,but its progress is delayed by traditional methods due to the small-scale,laborious and relatively subjective nature of manual assessment.This study presents a new approach that combines ultralow-altitude drone phenotyping with an optimized You Only Look Once(YOLO)model to examine FHB in wheat,enabling us to perform large-scale and automated symptomatic analysis of this disease.We first established an Open FHB(OFHB)training dataset,consisting of 4867 diseased and 106,801 healthy spikes collected from 132 commercial breeding lines during FHB progression.Then,a deep learning model called YOLOv8-WFD was trained for detecting healthy and diseased spikes,followed by an adaptive Excess Green method to identify symptomatic regions and thus FHBrelated traits on spikes.To study resistance levels,we employed an unsupervised SHapley Additive exPlanations(SHAP)method to pinpoint key traits between 10 and 20 d after inoculation(DAIs),resulting in the classification of 423 varieties trialed during the 2023–2024 growing seasons into four resistance levels(i.e.,highly and moderately susceptible,and moderately and highly resistant),which were highly correlated with field specialists’evaluations.Finally,we derived disease developmental curves based on measures of key traits during 10–20 DAI,quantifying varietal disease progression patterns over time.To our knowledge,this work represents a significant advancement in large-scale disease phenotyping and automated analysis of FHB in wheat,providing a valuable toolkit for breeders and plant researchers to assess resistance levels,select disease-resistant varieties,and understand dynamics of the fungal disease.
基金supported by the funding from the National Natural Science Foundation of China(32072359)。
文摘Wheat powdery mildew caused by Blumeria graminis f.sp.tritici(Bgt)is an important disease worldwide.Detection of latent infection of leaves by the pathogen in late autumn is valuable for estimating the inoculum potential to assess disease risks in the spring.We developed a new tool for rapid detection and quantification of latent infection of seedlings by the pathogen.The method was based on recombinase polymerase amplification(RPA)coupled with an end-point detection via lateral flow device(LFD).The limit of detection is 100 agμL^(-1)of Bgt DNA,without noticeable interference from either other common wheat pathogens or wheat material(Triticum aestivum).It was evaluated on wheat seedlings for this accuracy and sensitivity in detecting latent infection of Bgt.We further extended this RPALFD assay to estimate the level of latent infection by Bgt based on imaging analysis.There was a strong correlation between the image-based and real-time PCR assay estimates of Bgt DNA.The present results suggested that this new tool can provide rapid and accurate quantification of Bgt in latently infected leaves and can be further development as an on-site monitoring tool.
基金supported by grants from the Biotechnology and Biological Sciences Research Council(BBSRC)BB/M01200X/2,BB/P005039/1 and Innovate UK project 101914.
文摘Strawberry shape uniformity is a complex trait,influenced by multiple genetic and environmental components.To complicate matters further,the phenotypic assessment of strawberry uniformity is confounded by the difficulty of quantifying geometric parameters‘by eye’and variation between assessors.An in-depth genetic analysis of strawberry uniformity has not been undertaken to date,due to the lack of accurate and objective data.Nonetheless,uniformity remains one of the most important fruit quality selection criteria for the development of a new variety.In this study,a 3D-imaging approach was developed to characterise berry shape uniformity.We show that circularity of the maximum circumference had the closest predictive relationship with the manual uniformity score.Combining five or six automated metrics provided the best predictive model,indicating that human assessment of uniformity is highly complex.Furthermore,visual assessment of strawberry fruit quality in a multi-parental QTL mapping population has allowed the identification of genetic components controlling uniformity.A“regular shape”QTL was identified and found to be associated with three uniformity metrics.The QTL was present across a wide array of germplasm,indicating a potential candidate for marker-assisted breeding,while the potential to implement genomic selection is explored.A greater understanding of berry uniformity has been achieved through the study of the relative impact of automated metrics on human perceived uniformity.Furthermore,the comprehensive definition of strawberry shape uniformity using 3D imaging tools has allowed precision phenotyping,which has improved the accuracy of trait quantification and unlocked the ability to accurately select for uniform berries.
文摘Plant growth regulators are biologically active signaling molecules that regulate a number of plant physiological processes. Auxin(indole-3-acetic acid) is an important plant growth regulator and is synthesized within plant tissues through L-tryptophan(L-TRP)-dependent and-independent pathways. It has been found that plants respond to exogenously applied L-TRP due to insufficient endogenous auxin biosynthesis. The exogenous application of L-TRP is highly significant for normal plant growth and development.L-tryptophan is applied through foliar spray, seed priming, and soil application. Soil-applied L-TRP is either directly taken up by plants or metabolized to auxin by soil microbiota and then absorbed by plant roots. Similarly, foliar spray and seed priming with L-TRP stimulates auxin synthesis within plants and improves the growth and productivity of agricultural crops. Furthermore, L-TRP contains approximately 14% nitrogen(N) in its composition, which is released upon its metabolism within a plant or in the rhizosphere and plays a role in enhancing crop productivity. This review deals with assessing crop responses under the exogenous application of L-TRP in normal and stressed environments, mode of action of L-TRP, advantages of using L-TRP over other auxin precursors, and role of the simultaneous use of L-TRP and auxin-producing microbes in improving the productivity of agricultural crops. To the best of our knowledge, this is the first review reporting the importance of the use of L-TRP in agriculture.
基金supported by grants awarded to RJH from the Biotechnology and Biological Sciences Research Council(BBSRC-BB/K017071/1,BB/K017071/2 and BB/N006682/1).
文摘The cultivated strawberry,Fragaria×ananassa(Fragaria spp.)is the most economically important global soft fruit.Phytophthora cactorum,a water-borne oomycete causes economic losses in strawberry production globally.A biparental cross of octoploid cultivated strawberry segregating for resistance to P.cactorum,the causative agent of crown rot disease,was screened using artificial inoculation.Multiple putative resistance quantitative trait loci(QTL)were identified and mapped.Three major effect QTL(FaRPc6C,FaRPc6D and FaRPc7D)explained 37%of the variation observed.There were no epistatic interactions detected between the three major QTLs.Testing a subset of the mapping population progeny against a range of P.cactorum isolates revealed no significant interaction(p=0.0593).However,some lines showed higher susceptibility than predicted,indicating that additional undetected factors may affect the expression of some quantitative resistance loci.Using historic crown rot disease score data from strawberry accessions,a preliminary genome-wide association study(GWAS)of 114 individuals revealed an additional locus associated with resistance to P.cactorum.Mining of the Fragaria vesca Hawaii 4 v1.1 genome revealed candidate resistance genes in the QTL regions.
文摘Background:Sucking insect pests cause severe damage to cotton crop production.The development of insect resistant cotton cultivars is one of the most effective measures in curtailing the yield losses.Considering the role of morphological and biochemical host plant resista nee(HPR)traits in plant defense,12 cotton genotypes/varieties were evaluated for leaf area,leaf glanding,total soluble sugars,total soluble proteins,total phenolics,tannin and total flavonoids against fluctuating populations of whitefly,thrips and jassid under field conditions.Results:The population of these insects fluctuated during the growing seas on and remained above threshold level(whitefly>5,thrips>(8-10)f or jassid>1 per leaf)during late June and early July.Strong and negative association of whitefly(r=-0.825)and jassid(r=-0.929)with seed cotton yield was observed.Mean population of insects were the highest in Glandless-1 followed by NIA-82 and NIA-M30.NIAB-Kiran followed by NI AB-878 and Sadori were the most resistant,with the mean population of 1.41,1.60,1.66(whitefly);2.24,232,2.53(thrips)and 037,0.31,036(jassid),respectively.The resistant variety NIAB-Kiran showed less soluble sugars(8.54 mg.g^(-1)),soluble proteins(27.11 mg.g^(-1))and more phenolic(36.56 mg.g^(-1))and flavonoids(13.10mg.g^(-1))as compared with the susceptible check Glandless-1.Moreover,all insect populations were positively correlated with total soluble sugars and proteins.Whitefly populations exhibited negative response to leaf gossypol glands,total phenolics,tannins and flavonoids.The thrips and jassid populations had a significant and negative correlation with these four biochemical HPR traits.Conclusion:The ide ntified resistant resources and HPR traits can be deployed against sucking in sect pests'complex in future breeding programs of developing insect resistant cotton varieties.
基金funded by Innovate UK(100867)with matching funding from several commercial companiesthe financial assistance of the China Scholarship Council(201306300133 and 201506300012)
文摘Studies were conducted to identify candidate soil microbes responsible for observed differences in strawberry vigour at a small spatial scale, which was not associated with visual disease symptoms. Samples were obtained from the soils close to the rhizosphere of ‘big＇ and ‘small＇ plants from small plots which exhibited large local heterogeneity in plant vigour. A metabarcoding approach was used to profile bacterial and fungal compositions, using two primer pairs for 16 S ribosomal RNA genes（16S r DNA） and one for the fungal internal transcribed spacer（ITS） region. Of the two 16 S r DNA primer sets, the 341F/805 R resulted in sequences of better quality. A total 28 operational taxonomic units（OTUs） had differential relative abundance between samples from ‘big＇ and ‘small＇ plants. However, plausible biological explanation was only possible for three fungal OTUs. Two were possible phytopathogens： Verticillium spp. and Alternaria alternata although the latter has never been considered as a main pathogen of strawberry in the UK. For samples from ‘small＇ plants, the abundance of these OTUs was much greater than from ‘big＇ plants. The opposite was true for a mycorrhizal OTU. These results suggest that soil microbes related to crop production can be identified using metabarcoding technique. Further research is needed to assess whether A. alternata and Verticillium spp. could affect strawberry growth in the field.
文摘Rice, a staple cereal crop in many parts of the world, has been confronted with multiple environmental stresses including high temperature, negatively impacts the booting as well as anthesis growth stages. The situation is further complicated by the changing climatic conditions, resulting in gradual escalation of temperature as well as changing the rainfall pattern and frequency, thus raising a concern of food security worldwide. The situation can be combat by developing rice varieties with excellent genetics with improved morpho-physiological, biochemical, and molecular mechanisms, together can minimize the adverse effects of heat stress. Here, several strategies(encompassing genetic and genomic, and mechanisms involved) for mitigating the impact of high temperature on rice have been discussed. Finally, the utilization of genomic knowledge in augmenting the conventional breeding approaches have been comprehensively elaborated to develop heat tolerant germplasm.
基金supported by“Realising increased photosynthetic efficiency to increase strawberry yields”(BBSRC,BB/S507192/1)awarded to A.J.S.A.J.S is supported by the Growing Kent and Medway Program,UKRef 107139。
文摘Several long-term studies have provided strong support demonstrating that growing crops under elevated[CO_(2)]can increase photosynthesis and result in an increase in yield,flavour and nutritional content(including but not limited to Vitamins C,E and pro-vitamin A).In the case of tomato,increases in yield by as much as 80%are observed when plants are cultivated at 1000 ppm[CO_(2)],which is consistent with current commercial greenhouse productionmethods in the tomato fruit industry.These results provide a clear demonstration of the potential for elevating[CO_(2)]for improving yield and quality in greenhouse crops.The major focus of this review is to bring together 50 years of observations evaluating the impact of elevated[CO_(2)]on fruit yield and fruit nutritional quality.In the final section,we consider the need to engineer improvements to photosynthesis and nitrogen assimilation to allow plants to take greater advantage of elevated CO_(2) growth conditions.
基金funding from USDA National Institute of Food and Agriculture Specialty Crop Research Initiative projects[2014-51181-22376,2014-51181-22378]USDA National Institute of Food and Agriculture National Research Support Project 10+1 种基金NSF Plant Genome Research Program award#444573,NSF CIF21 Data infrastructure Building Blocks award#1443040USDA Hatch project 1014919,California Strawberry Commission,Florida Strawberry Growers Association,Washington Tree Fruit Research Commission,and Washington State University.
文摘The cultivated strawberry(Fragaria×ananassa)is an allo-octoploid species,originating nearly 300 years ago from wild progenitors from the Americas.Since that time the strawberry has become the most widely cultivated fruit crop in the world,universally appealing due to its sensory qualities and health benefits.The recent publication of the first highquality chromosome-scale octoploid strawberry genome(cv.Camarosa)is enabling rapid advances in genetics,stimulating scientific debate and provoking new research questions.In this forward-looking review we propose avenues of research toward new biological insights and applications to agriculture.Among these are the origins of the genome,characterization of genetic variants,and big data approaches to breeding.Key areas of research in molecular biology will include the control of flowering,fruit development,fruit quality,and plant–pathogen interactions.In order to realize this potential as a global community,investments in genome resources must be continually augmented.
基金ENDURE,European Network for the Durable Exploitation of Crop Protection Strategies,which was organized as"network of excellence(NoE)"financed by the EU’s 6th Framework Programme
文摘Information about disease management in winter wheat （Triticum aestiva） in eight European countries was collated and analysed by scientists and extension workers within the European Network for the Durable Exploitation of Crop Protection Strategies （ENDURE）. This included information about specific disease thresholds, decision support systems, host varieties, disease prevalence and pathogen virulence. Major differences in disease prevalence and economic importance were observed. Septoria tritici blotch （Mycosphaerella graminicola） was recognized as the most yield reducing disease in countries with intensive wheat production, but also rust diseases （Puccinia striiformis and Puccinia triticina）, powdery mildew （Blumeria graminis） and Fusarium head blight （Fusarium spp.） were seen as serious disease problems. Examples of current integrated pest management （IPM） strategies in different countries have been reported. Disease management and fungicide use patterns showed major differences, with an average input equivalent to 2.3 full dose rates （TFI） in the UK and a TFI of 0.6 in Denmark. These differences are most likely due to a combination of different cropping systems, climatic differences, disease prevalence, and socio-economic factors. The web based information platform www.eurowheat.org was used for dissemination of information and results including information on control thresholds, cultural practices which can influence disease attack, fungicide efficacy, fungicide resistance, and pathogen virulence, which are all elements supporting 1PM for disease control in wheat. The platform is open to all users. The target groups of EuroWheat information are researchers, advisors, breeders, and similar partners dealing with disease management in wheat.
文摘This paper presents the work conducted on the chemical constituents of some common and widely distributed halophyte taxa from Cyprus with the aim that these studies will help in the evaluation of halophytes for different economical purposes.The plant species of Crithmum maritimum L.,Limbarda crithmoides(L.)Dumort,Atriplex portulacoides L.,Salsola kali L.,Atriplex halimus L.,Limonium oleifolium Mill.,L.meyeri(Boiss.)Kuntze;and Tetraena alba(L.f.)Beier&Thulin were collected in the middle of July.The shoot tissue and leaf samples were collected from the natural habitats and left for drying under air circulation followed by placing them in oven at 60°C for 96 hours.The material was crushed using mortar and pestle and subjected to an analysis of macro-and micro-nutrients and biochemical compounds.K+/Na+in the leaf tissues of the dicot species showed relatively high values depicting their behavior as Na+includes but very low Cl-levels were recorded.Out of the species investigated here in 4 TFAA content was rather high.Values ranging from 0.5%to 1%dry weight were exhibited in one species.However,only 3 species showed very low TFAA values.Later may be due to low nitrogen availability in their environment.The phenetic analyses of eight halophyte species performed on the data matrix using Ntsys-pc program version 2.1 revealed that,cluster analysis of the overall results obtained here leads to 2 clusters.This discrimination appears to be as a result of their different abilities to accumulate either proline or glycine betaine.
基金the Department of Biotechnology(DBT),New Delhi[grant number BT/PR52345/BSA/33/37/2024(CN19592)]Indian Council of Medical Research(ICMR),New Delhi(grant number NIMR/Proj/Intra/HMM/134/24)D.P.and R.P.R.would like to acknowledge DBT Fellowships(DBT/2021-22/NIAB/1706&DBT/2022-23/NIAB/2051)provided by the Department of Biotechnology(DBT),New Delhi.
文摘Nanotechnology has substantially advanced imaging,therapy,and clinical techniques,playing a crucial role in the development of sustainable functional materials in biomedical engineering.Nanoparticles,used as contrast agents in multimodal imaging,offer notable advantages due to their high surface areato-volume ratio,enabling functionalization with targeting ligands for improved specificity and sensitivity.They can also carry multiple imaging agents or therapeutic drugs,promoting theranostics,an approach combining diagnosis and treatment.However,the need for high-dose contrast agents raises concerns about nanoparticle toxicity.Green nanotechnology addresses this by developing sustainable nanoparticles through eco-friendly synthesis methods,reducing environmental and health risks.Moreover,by using this method,safer imaging agents that align with current health standards can be generated.In parallel,recent advancements in artificial intelligence(AI)are transforming imaging applications.Beyond simple automation of image interpretation,AI is enhancing image acquisition,management,and interpretation,signaling a future where intelligent systems play a key role in healthcare.This review explores the diverse nanomaterials utilized as contrast agents in multimodal imaging,highlights the importance of green nanotechnology in minimizing toxicity,and emphasizes on the important role of AI in imaging and imageguided therapy.Together,these innovations are advancing precision healthcare,promising a future where diagnostics and treatment are not only more effective but also sustainable.
基金This work was funded by the International S&T Cooperation Program of China(2024YFE0115000)the National Key R&D Program of China(2021YFD2000104)+1 种基金the National Natural Science Foundation of China(32371985)the Fundamental Research Funds for Central Universities(226-2022-00217).
文摘Color accuracy and consistency in remote sensing imagery are crucial for reliable plant health monitoring,precise growth stage identification,and stress detection.However,without effective color correction,variations in lighting and sensor sensitivity often cause color distortions between images,compromising data quality and analysis.This study introduces a novel in-flight color correction approach for RGB imagery using cooperative dual unmanned aerial vehicle(UAV)flights integrated with a color chart(CoF-CC).The method employs a master UAV equipped with an RGB camera for image acquisition and a synchronized secondary UAV carrying a ColorChecker(X-Rite)chart,ensuring persistent visibility of the chart within the imaging field of the master UAV for the calculation of a color correction matrix(CCM)for in-flight image correction.Field experiments validated the method by analyzing cross-sensor color consistency,assessing color measurement accuracy on field-grown rice leaves,and demonstrating its practical applications using rice maturity estimation as an example.The re-sults indicated that the CCM significantly enhanced color accuracy,with a 66.1%reduction in the average CIE 2000 color difference(△E),and improved color consistency among the six RGB sensors,with a 70.2%increase in the intracluster distance.CoF-CC subsequently reduced △E from 18.2 to 5.0 between the corrected rice leaf color and ground-truth measurements,indicating that the color differences were nearly perceptible to the human eye.Moreover,the corrected imagery significantly enhanced the rice maturity prediction accuracy,improving the R^(2) from 0.28 to 0.67.In summary,the CoF-CC method standardizes RGB images across diverse lighting conditions and sensors,demonstrating robust performance in color analysis and interpretation under open-field conditions.
