Sustainable microbial solutions for managing fungal threats in wheat: progress and future directions

World Journal of Microbiology and Biotechnology, Год журнала: 2025, Номер 41(3)

Опубликована: Фев. 27, 2025

Язык: Английский

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The use of DNA markers in wheat breeding for resistance to loose smut (review)

Agricultural science Euro-North-East, Год журнала: 2025, Номер 26(1), С. 7 - 20

Опубликована: Фев. 27, 2025

Wheat (Triticum aestivum L.) is an important and popular crop all over the world. An economically significant decrease in its yield due to disease infection most harmful of which loose smut (Ustilago tritici (Pers.) Rostr.). The effective, cost – effective environmentally friendly way fight create resistant varieties using molecular biological methods. research gives analysis domestic foreign literary sources past 10 years. features biology Ustilago interaction with host plant are presented. possibilities experience various PCR markers considered both diagnosis study causative agent wheat smut, marker-assisted breeding (MAS-breeding) disease-resistant cultivars. importance as one widespread modern, highly sensitive, specific, fast affordable laboratory methods for detecting disease, well studying racial composition, shown. list currently known genes, donor cultivars DNA linked genes loci resistance dust analyzed. above results indicate that there a sufficiently large database use creation

Язык: Английский

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Effective Strategies for Managing Wheat Diseases: Mapping Academic Literature Utilizing VOSviewer and Insights from Our 15 Years of Research

Agrochemicals, Год журнала: 2025, Номер 4(1), С. 4 - 4

Опубликована: Март 4, 2025

Wheat pathogens pose a significant risk to global wheat production, with climate change further complicating disease dynamics. Effective management requires combination of genetic resistance, cultural practices, and careful use chemical controls. Ongoing research adaptation changing environmental conditions are crucial for sustaining yields food security. Based on selective academic literature retrieved from the Scopus database analyzed by bibliographic software such as VOSviewer we discussed focused various aspects current future strategies managing major diseases Tan spot, Septoria tritici blotch, Fusarium head blight, etc. Chemical methods, fungicides, can be effective but not always preferred. Instead, agronomic practices like crop rotation tillage play role in reducing both incidence severity these diseases. Moreover, adopting resistance is essential management.

Язык: Английский

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Sustainable Management of Major Fungal Phytopathogens in Sorghum (Sorghum bicolor L.) for Food Security: A Comprehensive Review

Journal of Fungi, Год журнала: 2025, Номер 11(3), С. 207 - 207

Опубликована: Март 6, 2025

Sorghum (Sorghum bicolor L.) is a globally important energy and food crop that becoming increasingly integral to security the environment. However, its production significantly hampered by various fungal phytopathogens affect yield quality. This review aimed provide comprehensive overview of major affecting sorghum, their impact, current management strategies, potential future directions. The diseases covered include anthracnose, grain mold complex, charcoal rot, downy mildew, rust, with an emphasis on pathogenesis, symptomatology, overall economic, social, environmental impacts. From initial use fungicides shift biocontrol, rotation, intercropping, modern tactics breeding resistant cultivars against mentioned are discussed. In addition, this explores disease management, particular focus role technology, including digital agriculture, predictive modeling, remote sensing, IoT devices, in early warning, detection, management. It also key policy recommendations support farmers advance research thus emphasizing need for increased investment research, strengthening extension services, facilitating access necessary inputs, implementing effective regulatory policies. concluded although pose significant challenges, combined effort innovative policies can mitigate these issues, enhance resilience sorghum facilitate global issues.

Язык: Английский

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Challenges in Wheat Breeding in the Twenty-First Century

IntechOpen eBooks, Год журнала: 2025, Номер unknown

Опубликована: Март 10, 2025

The chapter “Challenges in Wheat Breeding the 21st Century” explores profound impact of climate change and population growth on wheat cultivation, emphasizing urgent need to develop high-performing cultivars. depletion natural resources, such as water soil, further complicates this process. role circular economy is highlighted, providing insights into efficient use agricultural resources. New genomic techniques next-generation sequencing are revolutionizing breeding, accelerating identification favorable genes for adaptability constant high yield, which vital future food security. To address current challenges, an integrated approach combining new breeding techniques, sustainable practices, principles essential. programs should focus developing varieties that resilient abiotic stresses, resource-efficient, adapted local conditions. International collaboration interdisciplinary research essential supporting innovation ensuring global Furthermore, lobbying extensive adoption improved, cost-effective cultivars will ensure accessibility farmers. By aligning goals with market demands environmental sustainability, foundation a can be established.

Язык: Английский

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Molecular mechanisms and breeding strategies for enhancing wheat resilience to environmental stresses: The role of heat shock proteins and implications for food security

International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 142468 - 142468

Опубликована: Март 1, 2025

Язык: Английский

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Association analysis of response to take-all disease with agronomic traits and molecular markers and selection ideal genotypes in bread wheat (Triticum aestivum L.) genotypes

Molecular Breeding, Год журнала: 2025, Номер 45(4)

Опубликована: Март 26, 2025

Язык: Английский

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Unveiling Methods to Stimulate Plant Resistance against Pathogens

Frontiers in Bioscience-Landmark, Год журнала: 2024, Номер 29(5)

Опубликована: Май 14, 2024

Plant diseases caused by pathogens pose significant threats to agricultural productivity and food security worldwide. The traditional approach of relying on chemical pesticides for disease management has proven be unsustainable, emphasizing the urgent need sustainable environmentally friendly alternatives. One promising strategy is enhance plant resistance against through various methods. This review aims unveil explore effective methods stimulating resistance, transforming vulnerable plants into vigilant defenders pathogens. We discuss both conventional innovative approaches, including genetic engineering, induced systemic (ISR), priming, use natural compounds. Furthermore, we analyze underlying mechanisms involved in these methods, highlighting their potential advantages limitations. Through an understanding scientists agronomists can develop novel strategies combat effectively while minimizing environmental impact. Ultimately, this research offers valuable insights harnessing plant’s innate defense paves way practices agriculture.

Язык: Английский

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Detecting the Minimum Limit on Wheat Stripe Rust in the Latent Period Using Proximal Remote Sensing Coupled with Duplex Real-Time PCR and Machine Learning

Plants, Год журнала: 2023, Номер 12(15), С. 2814 - 2814

Опубликована: Июль 29, 2023

Wheat stripe rust (WSR) is an airborne disease that causes severe damage to wheat. The rapid and early detection of WSR essential for the prevention control this disease. minimum limit (MDL) one most important characteristics quantitative methods can be used determine scope applicability a measurement technique. Three wheat cultivars were inoculated with Puccinia striiformis f.sp. tritici (Pst), spectrometer was collect canopy hyperspectral data, Pst content obtained via duplex real-time polymerase chain reaction (PCR) during latent period, respectively. index (DI) molecular (MDI) calculated. regression tree algorithm MDL based on feature parameters. logistic, IBK, random committee algorithms construct classification model MDL. results showed when 0.7, IBK had best recognition accuracy. optimal model, which spectral R_2nd.dv ((the second derivative original value)) modeling ratio 2:1, accuracy 91.67% testing set 90.67% 10-fold cross-validation. Thus, determined using technology as 0.7.

Язык: Английский

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Insights into wheat science: A bibliometric review using unsupervised machine learning techniques

Journal of Cereal Science, Год журнала: 2024, Номер 118, С. 103960 - 103960

Опубликована: Июнь 17, 2024

Wheat (Triticum spp.) has been one of the most important cereal crops, serving as a source protein and energy in human diet. It remains vital component global food security, with extensive scientific literature dedicated to its study, although large volume often hinders analysis. In this different unsupervised machine learning techniques, such K-Nearest Neighbors (KNN) Uniform Manifold Approximation Projection (UMAP), text mining analyses, including word embeddings statistical analysis, graph analysis methodologies, were applied gain deeper understanding wheat literature. The proposed bibliometric was conducted integrated Journal Citation Reports (JCR) identify major research trends PubMed This examined evolution these over time, evaluated geographical distribution, impact, domains, assessed author collaboration networks evolving relevance countries. Research on disease resistance, genetic modification, dietary impact demonstrates consistent increase output, while interest topics related overcoming salt stress enhancing animal feed appears be diminishing. Interestingly, germ agglutinin saw surge during late 2000s, stabilizing thereafter. These underscore dynamic nature research, driven by priorities technological advancements, particularly genetics omics tools. Moreover, increasing significance China size, networking, alongside longstanding leaders United States, signals shifting landscape research.

Язык: Английский

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