Omics Approaches for Crop Improvement
The growing human population and climate change are imposing unprecedented challenges on the global food supply. Crop improvement demands enhancing agronomical essential traits such as yield, resistance, and nutritional value by pivoting direct and indirect genetically assisted approaches to cope wi...
I tiakina i:
| Hōputu: | Online |
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| Reo: | Ingarihi |
| I whakaputaina: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20240906_9783725814947_168 |
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Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869517542632980480 |
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| collection | Directory of Open Access Books |
| description | The growing human population and climate change are imposing unprecedented challenges on the global food supply. Crop improvement demands enhancing agronomical essential traits such as yield, resistance, and nutritional value by pivoting direct and indirect genetically assisted approaches to cope with these pressures. The development of last-generation high-throughput screening technologies, known as omics, promises to speed up plant trait improvement. Large-scale techniques such as genomics, transcriptomics, proteomics, metabolomics, and phenomics have already retrieved large volumes of data, as never before, which merged through bioinformatics and machine learning approaches; they are helping us to understand the mechanisms behind crop features. Omics datasets are not only generated from the tissues of a single genotype but also permeate macro-scale interactions to deepen our knowledge of crop behavior across the microbial and environmental continua. However, despite these massive technological and computational developments, cohesive efforts to combine contrasting omics studies within common pathways and cellular networks of crop systems are in their infancy. Therefore, this reprint envisions offering updated views on multidimensional large-scale omics-based approaches by compiling studies that explore the uses of the omics paradigm and their integration through trans-disciplinary bioinformatics as tools to improve the qualitative and quantitative traits in crop species. |
| format | Online |
| id | doab-20.500.12854ir-143806 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1438062024-09-06T08:30:03Z Omics Approaches for Crop Improvement Yockteng, Roxana Cortés, Andrés J. Castillejo, María Ángeles background selection foreground selection gene pyramiding marker-assisted breeding submergence tolerance yield component QTL bioinformatics comparative genomics molecular markers next-generation sequencing omics papaya gibberellic acid-stimulated Arabidopsis (GASA) gene expression phylogenetics Phytophthora megakarya abiotic stresses biotic stresses Theobroma cacao malvaceae magnesium transporter comparative analysis Malvaceae Theobroma Gossypium Corchorus expression analysis gene structure phylogenetic analysis polygenic adaptation abiotic stress tolerance congruity backcrosses germplasm characterization plant genetic resources multi-local analysis AMMI model ecophysiology biofortification Caribbean coast of northern South America Botrytis fabae faba bean resistance proteomic analysis photosystem II repair cycle composite mix genetic structure multi-line variety single nucleotide polymorphism markers varietal purity irrigation root-softening antioxidant ebb-and-flow tandem mass tag HPLC-MS transcriptomics co-expression network modular analysis drought stress hub gene Abp57 rice improvement peanut phenomics high-throughput phenotyping ground penetrating radar tomato spotted wilt virus leaf spot pod weight n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming The growing human population and climate change are imposing unprecedented challenges on the global food supply. Crop improvement demands enhancing agronomical essential traits such as yield, resistance, and nutritional value by pivoting direct and indirect genetically assisted approaches to cope with these pressures. The development of last-generation high-throughput screening technologies, known as omics, promises to speed up plant trait improvement. Large-scale techniques such as genomics, transcriptomics, proteomics, metabolomics, and phenomics have already retrieved large volumes of data, as never before, which merged through bioinformatics and machine learning approaches; they are helping us to understand the mechanisms behind crop features. Omics datasets are not only generated from the tissues of a single genotype but also permeate macro-scale interactions to deepen our knowledge of crop behavior across the microbial and environmental continua. However, despite these massive technological and computational developments, cohesive efforts to combine contrasting omics studies within common pathways and cellular networks of crop systems are in their infancy. Therefore, this reprint envisions offering updated views on multidimensional large-scale omics-based approaches by compiling studies that explore the uses of the omics paradigm and their integration through trans-disciplinary bioinformatics as tools to improve the qualitative and quantitative traits in crop species. 2024-09-06T08:29:54Z 2024-09-06T08:29:54Z 2024 book ONIX_20240906_9783725814947_168 9783725814947 9783725814930 https://directory.doabooks.org/handle/20.500.12854/143806 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9549 https://mdpi.com/books/pdfview/book/9549 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1493-0 10.3390/books978-3-7258-1493-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725814947 9783725814930 open access |
| spellingShingle | background selection foreground selection gene pyramiding marker-assisted breeding submergence tolerance yield component QTL bioinformatics comparative genomics molecular markers next-generation sequencing omics papaya gibberellic acid-stimulated Arabidopsis (GASA) gene expression phylogenetics Phytophthora megakarya abiotic stresses biotic stresses Theobroma cacao malvaceae magnesium transporter comparative analysis Malvaceae Theobroma Gossypium Corchorus expression analysis gene structure phylogenetic analysis polygenic adaptation abiotic stress tolerance congruity backcrosses germplasm characterization plant genetic resources multi-local analysis AMMI model ecophysiology biofortification Caribbean coast of northern South America Botrytis fabae faba bean resistance proteomic analysis photosystem II repair cycle composite mix genetic structure multi-line variety single nucleotide polymorphism markers varietal purity irrigation root-softening antioxidant ebb-and-flow tandem mass tag HPLC-MS transcriptomics co-expression network modular analysis drought stress hub gene Abp57 rice improvement peanut phenomics high-throughput phenotyping ground penetrating radar tomato spotted wilt virus leaf spot pod weight n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming Omics Approaches for Crop Improvement |
| title | Omics Approaches for Crop Improvement |
| title_full | Omics Approaches for Crop Improvement |
| title_fullStr | Omics Approaches for Crop Improvement |
| title_full_unstemmed | Omics Approaches for Crop Improvement |
| title_short | Omics Approaches for Crop Improvement |
| title_sort | omics approaches for crop improvement |
| topic | background selection foreground selection gene pyramiding marker-assisted breeding submergence tolerance yield component QTL bioinformatics comparative genomics molecular markers next-generation sequencing omics papaya gibberellic acid-stimulated Arabidopsis (GASA) gene expression phylogenetics Phytophthora megakarya abiotic stresses biotic stresses Theobroma cacao malvaceae magnesium transporter comparative analysis Malvaceae Theobroma Gossypium Corchorus expression analysis gene structure phylogenetic analysis polygenic adaptation abiotic stress tolerance congruity backcrosses germplasm characterization plant genetic resources multi-local analysis AMMI model ecophysiology biofortification Caribbean coast of northern South America Botrytis fabae faba bean resistance proteomic analysis photosystem II repair cycle composite mix genetic structure multi-line variety single nucleotide polymorphism markers varietal purity irrigation root-softening antioxidant ebb-and-flow tandem mass tag HPLC-MS transcriptomics co-expression network modular analysis drought stress hub gene Abp57 rice improvement peanut phenomics high-throughput phenotyping ground penetrating radar tomato spotted wilt virus leaf spot pod weight n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming |
| topic_facet | background selection foreground selection gene pyramiding marker-assisted breeding submergence tolerance yield component QTL bioinformatics comparative genomics molecular markers next-generation sequencing omics papaya gibberellic acid-stimulated Arabidopsis (GASA) gene expression phylogenetics Phytophthora megakarya abiotic stresses biotic stresses Theobroma cacao malvaceae magnesium transporter comparative analysis Malvaceae Theobroma Gossypium Corchorus expression analysis gene structure phylogenetic analysis polygenic adaptation abiotic stress tolerance congruity backcrosses germplasm characterization plant genetic resources multi-local analysis AMMI model ecophysiology biofortification Caribbean coast of northern South America Botrytis fabae faba bean resistance proteomic analysis photosystem II repair cycle composite mix genetic structure multi-line variety single nucleotide polymorphism markers varietal purity irrigation root-softening antioxidant ebb-and-flow tandem mass tag HPLC-MS transcriptomics co-expression network modular analysis drought stress hub gene Abp57 rice improvement peanut phenomics high-throughput phenotyping ground penetrating radar tomato spotted wilt virus leaf spot pod weight n/a thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming |
| url | ONIX_20240906_9783725814947_168 |