Titlebook: Omics Technologies for Sustainable Agriculture and Global Food Security Volume 1; Anirudh Kumar,Rakesh Kumar,Manish K. Pandey Book 2021 Th

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The Early Blight of Tomato: Omics Interventions Toward Controlling Disease Spread and Development,tudies of omics will offer a basis for improving breeding programs through genetic manipulation that will ultimately lead to the possible protection of tomatoes from EB infection. In this chapter, we have described the disease symptoms, epidemiology, and current integrated management practices for E

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Genome Editing Technologies for Plant Improvement: Advances, Applications and Challenges,tive traits. In parallel, oligogenic traits like disease resistance can be improved by precise base editing by accurate protein remodelling. Notwithstanding encouraging results on plant genome editing, adoption of gene-edited plants remains a moot point. To realize immense potential of genome editin

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Metabolomics-Assisted Breeding for Crop Improvement: An Emerging Approach, spectroscopy (DIMS), direct flow injection (DFI) mass spectrometry, high-resolution mass spectroscopy (HRMS), Fourier transform ion cyclotron resonance mass spectroscopy (FI-ICR-MS), high-performance thin-layer chromatography (HPTLC), ultra-performance liquid chromatography (UPLC), capillary electr

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Book 2021ield enhancement, biotic and abiotic resistance, genetic modification, bioremediation, food security etc. It explores how the different omics technology independently and collectively would be used to improve the quantitative and qualitative traits of crop plants. The book is useful for graduate and

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s 30?min, pairing programming is helpful for students to solve difficult problems, and it has a positive impact on the solution of subsequent problems after experiencing the process of solving difficult problems. When the periodic role switching interval is 20?min, students have a positive attitude

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Vikas Gupta,Satish Kumar,Disha Kamboj,Chandra Nath Mishra,Charan Singh,Gyanendra Singh,Gyanendra Pras paper, we propose the improved Knowledge-aware Graph Neural Networks with Label Smoothness Regularization (iKGNN-LS) model, which makes two improvements to KGNN-LS: (1) In iKGNN-LS, by introducing user-specific entity scoring functions, the edge weights are determined jointly by personalized user

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Prajna Priyadarshini Das,Sumi Rana,Mehanathan Muthamilarasan,Monica Kannan,Irfan Ahmad Ghazits among the trajectory points in a trajectory sequence to optimize the user’s frequent mobile pattern mining results. Then, we propose the modified PrefixSpan (MP) algorithm which integrates the distance and time filtering mechanism based on the original PrefixSpan to find frequent semantic traject