Enhancing Essential Grains Yield for Sustainable Food Security and Bio-Safe Agriculture through Latest Innovative Approaches

Agronomy, Journal Year: 2023, Volume and Issue: 13(7), P. 1709 - 1709

Published: June 26, 2023

A key concern in agriculture is how to feed the expanding population and safeguard environment from ill effects of climate change. To a growing global population, food production security are significant problems, as output may need double by 2050. Thus, more innovative effective approaches for increasing agricultural productivity (hence, production) required meet rising demand food. The world’s most widely cultivated grains include corn, wheat, rice, which serve foundation basic foods. This review focuses on some up-to-date that boost barley, oat yields with insight into molecular technology genetics raise resource-efficient use these important grains. Although red light management genetic manipulation show maximal grain yield enhancement, other covered strategies including bacterial-nutrient management, solar brightening, facing abiotic stress through systems, fertilizer harmful gas emissions reduction, photosynthesis tolerance, disease resistance, varietal improvement also enhance increase plant resistance environmental circumstances. study discusses potential challenges addressed possible future perspectives.

Language: Английский

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Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(4), P. 1466 - 1466

Published: Feb. 10, 2025

The advancement of multi-omics tools has revolutionized the study complex biological systems, providing comprehensive insights into molecular mechanisms underlying critical traits across various organisms. By integrating data from genomics, transcriptomics, metabolomics, and other omics platforms, researchers can systematically identify characterize elements that contribute to phenotypic traits. This review delves recent progress in applying approaches elucidate genetic, epigenetic, metabolic networks associated with key plants. We emphasize potential these integrative strategies enhance crop improvement, optimize agricultural practices, promote sustainable environmental management. Furthermore, we explore future prospects field, underscoring importance cutting-edge technological advancements need for interdisciplinary collaboration address ongoing challenges. bridging this aims provide a holistic framework advancing research plant biology agriculture.

Language: Английский

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Genome Editing for Sustainable Crop Improvement and Mitigation of Biotic and Abiotic Stresses

Plants, Journal Year: 2022, Volume and Issue: 11(19), P. 2625 - 2625

Published: Oct. 6, 2022

Climate change poses a serious threat to global agricultural activity and food production. Plant genome editing technologies have been widely used develop crop varieties with superior qualities or can tolerate adverse environmental conditions. Unlike conventional breeding techniques (e.g., selective mutation breeding), modern tools offer more targeted specific alterations of the plant could significantly speed up progress developing crops desired traits, such as higher yield and/or stronger resilience changing environment. In this review, we discuss current development future applications in mitigating impacts biotic abiotic stresses on agriculture. We focus specifically CRISPR/Cas system, which has center attention last few years revolutionary genome-editing tool various species. also conducted bibliographic analysis CRISPR-related papers published from 2012 2021 (10 years) identify trends potential CRISPR/Cas-related research. addition, review article outlines shortcomings challenges employing agriculture notes prospective. believe combining innovative would be key optimizing improvement beyond limitations traditional practices.

Language: Английский

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Applications of Artificial Intelligence in Wheat Breeding for Sustainable Food Security

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5688 - 5688

Published: July 3, 2024

In agriculture, especially in crop breeding, innovative approaches are required to address the urgent issues posed by climate change and global food security. Artificial intelligence (AI) is a revolutionary technology wheat breeding that provides new improve ability of crops withstand produce higher yields response changing circumstances. This review paper examines incorporation artificial into conventional methods, with focus on contribution AI tackling intricacies contemporary agriculture. aims assess influence technologies enhancing efficiency, precision, sustainability projects. We conduct thorough analysis recent research evaluate several applications intelligence, such as machine learning (ML), deep (DL), genomic selection (GS). These expedite swift interpretation extensive datasets, augmenting process selecting varieties well-suited wide range environmental The findings from examined demonstrate notable progress result intelligence. ML algorithms have enhanced precision predicting phenotypic traits, whereas has reduced duration cycles. Utilizing high-throughput phenotyping allows for meticulous examination plant characteristics under different stress environments, facilitating identification robust varieties. Furthermore, AI-driven models exhibited superior predicted accuracies productivity disease resistance comparison methods. play crucial role modernization providing significant enhancements performance adaptability. integration not only facilitates growth cultivars provide large can stressful conditions but also strengthens security context change. Ongoing study collaboration across fields improving optimizing these applications, ultimately their sustainable

Language: Английский

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A spectral framework to map QTLs affecting joint differential networks of gene co-expression

PLoS Computational Biology, Journal Year: 2025, Volume and Issue: 21(4), P. e1012953 - e1012953

Published: April 17, 2025

Studying the mechanisms underlying genotype-phenotype association is crucial in genetics. Gene expression studies have deepened our understanding of genotype → phenotype mechanisms. However, traditional quantitative trait loci (eQTL) methods often overlook critical role gene co-expression networks translating into phenotype. This gap highlights need for more powerful statistical to analyze network mechanism. Here, we develop a network-based method, called spectral analysis (snQTL), map affecting networks. Our approach tests between genotypes and joint differential via tensor-based statistics, thereby overcoming ubiquitous multiple testing challenges existing methods. We demonstrate effectiveness snQTL three-spined stickleback ( Gasterosteus aculeatus ) data. Compared conventional methods, method uncovers chromosomal regions networks, including one strong candidate that would been missed by eQTL analyses. framework suggests limitation current approaches offers tool functional discoveries.

Language: Английский

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Genetic mapping reveals new loci and alleles for flowering time and plant height using the double round-robin population of barley

Journal of Experimental Botany, Journal Year: 2024, Volume and Issue: 75(8), P. 2385 - 2402

Published: Feb. 8, 2024

Abstract Flowering time and plant height are two critical determinants of yield potential in barley (Hordeum vulgare). Despite their role physiological regulation, a complete overview the genetic complexity flowering regulation is still lacking. Using double round-robin population originated from crossings 23 diverse parental inbred lines, we aimed to determine variance components as well identify new variants by single multi-population QTL analyses allele mining. similar genotypic variance, observed higher environmental for than time. Furthermore, detected QTLs height. Finally, identified functional allelic variant main regulatory gene Ppd-H1. Our results show that architecture might be more complex reported earlier number undetected, small effect, or low-frequency underlie control these traits.

Language: Английский

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Interplay between secondary metabolites and plant hormones in silver nitrate-elicited Arabidopsis thaliana plants

Plant Physiology and Biochemistry, Journal Year: 2024, Volume and Issue: 208, P. 108483 - 108483

Published: March 1, 2024

Plants produce a myriad of specialized compounds in response to threats such as pathogens or pests and different abiotic factors. The stress-related induction metabolites can be mimicked using silver nitrate (AgNO

Language: Английский

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Mapping of the QTLs governing stem-specific weight for stem reserve mobilisation in wheat (Triticum aestivum L.) under combined heat and drought stress

Plant Physiology Reports, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Language: Английский

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Identification of candidate genes associated with resistance to aflatoxin production in peanut through genetic mapping and transcriptome analysis

Theoretical and Applied Genetics, Journal Year: 2025, Volume and Issue: 138(4)

Published: March 13, 2025

Language: Английский

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WGCNA analysis reveals hub genes in the Hemarthria compressa roots in response to waterlogging stress

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 22, 2025

Language: Английский

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