Jasmonic acid: a key frontier in conferring abiotic stress tolerance in plants

Plant Cell Reports, Journal Year: 2020, Volume and Issue: 40(8), P. 1513 - 1541

Published: Oct. 9, 2020

Language: Английский

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Machine Learning for Plant Breeding and Biotechnology

Agriculture, Journal Year: 2020, Volume and Issue: 10(10), P. 436 - 436

Published: Sept. 27, 2020

Classical univariate and multivariate statistics are the most common methods used for data analysis in plant breeding biotechnology studies. Evaluation of genetic diversity, classification genotypes, yield components, stability analysis, assessment biotic abiotic stresses, prediction parental combinations hybrid programs, vitro-based biotechnological experiments mainly performed by classical statistical methods. Despite successful applications, these have low efficiency analyzing obtained from studies, as genotype, environment, their interaction (G × E) result nondeterministic nonlinear nature characteristics. Large-scale flow, including phenomics, metabolomics, genomics, big data, must be analyzed efficient interpretation results affected G E. Nonlinear nonparametric machine learning techniques more than models handling large amounts complex information with “multiple-independent variables versus multiple-dependent variables” nature. Neural networks, partial least square regression, random forest, support vector machines some fascinating that been widely applied to analyze both High interpretive power algorithms has made them popular multifactorial The different genotypes morphological molecular markers, modeling predicting important quantitative characteristics plants, relationships characteristics, optimizing vitro examples applications conventional Precision agriculture is possible through accurate measurement using imaging then reliable extracted algorithms. Perfect high-throughput phenotyping applicable coupled learning-image processing. Some potentially capabilities studies discussed this overview. Discussions great value future could inspire researchers apply new layers breeding.

Language: Английский

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Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction

Molecular Plant, Journal Year: 2022, Volume and Issue: 15(11), P. 1664 - 1695

Published: Sept. 7, 2022

The first paradigm of plant breeding involves direct selection-based phenotypic observation, followed by predictive using statistical models for quantitative traits constructed based on genetic experimental design and, more recently, incorporation molecular marker genotypes. However, performance or phenotype (P) is determined the combined effects genotype (G), envirotype (E), and environment interaction (GEI). Phenotypes can be predicted precisely training a model data collected from multiple sources, including spatiotemporal omics (genomics, phenomics, enviromics across time space). Integration 3D information profiles (G-P-E), each with multidimensionality, provides both tremendous opportunities great challenges. Here, we review innovative technologies breeding. We then evaluate multidimensional that integrated strategy, particularly envirotypic data, which have largely been neglected in collection are nearly untouched construction. propose smart scheme, genomic-enviromic prediction (iGEP), as an extension genomic prediction, multiomics information, big technology, artificial intelligence (mainly focused machine deep learning). discuss how to implement iGEP, models, environmental indices, factorial structure cross-species prediction. A strategy proposed prediction-based crop redesign at macro (individual, population, species) micro (gene, metabolism, network) scales. Finally, provide perspectives translating into gain through integrative platforms open-source initiatives. call coordinated efforts institutional partnerships, technological support.

Language: Английский

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Deploying artificial intelligence for climate change adaptation

Technological Forecasting and Social Change, Journal Year: 2022, Volume and Issue: 180, P. 121662 - 121662

Published: April 12, 2022

Language: Английский

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Intelligent Computing: The Latest Advances, Challenges, and Future

Intelligent Computing, Journal Year: 2023, Volume and Issue: 2

Published: Jan. 1, 2023

Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed emergence intelligent computing, new computing paradigm that reshaping traditional and promoting digital revolution era big data, artificial intelligence, internet things with theories, architectures, methods, systems, applications. Intelligent has greatly broadened scope extending it from on data to increasingly diverse paradigms such as perceptual cognitive autonomous human–computer fusion intelligence. Intelligence undergone paths different evolution for long time but become intertwined years: not only intelligence oriented also driven. Such cross-fertilization prompted rapid advancement computing. still its infancy, an abundance innovations applications expected occur soon. We present first comprehensive survey literature covering theory fundamentals, technological important applications, challenges, future perspectives. believe this highly timely will provide reference cast valuable insights into academic industrial researchers practitioners.

Language: Английский

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Drought in Northeast Brazil: A review of agricultural and policy adaptation options for food security

Climate Resilience and Sustainability, Journal Year: 2021, Volume and Issue: 1(1)

Published: Sept. 21, 2021

Abstract The semiarid lands of Northeast Brazil represent one the most densely populated regions country. Rainfall variability together with land degradation and large‐scale poverty in rural areas makes this region vulnerable to droughts. Most agriculture is rainfed deficient rainfall leads severe drought impacts. In review, we examine different short‐ long‐term strategies directed cope possible impacts droughts proposed by government, farmers, civil society, private sector. These are approaches adaptation Brazil, among them, have agricultural management soil conservation better water resources. Other actions include seasonal climate forecasts funds transfer credits affected small‐scale farmers. Although some these for short term may help survive situation, they be only postdisaster mitigation options that do not improve adaptive capacity. They favor maladaptation create dependency farmers government actions. Some experiences such as AdaptaSertão show potential benefits We identify key challenges moving toward a more holistic risk approach highlight need integrate tools adaptation, combining technology‐based solutions in‐depth knowledge local regional social, economic, cultural aspects, them studies, other proactive predisaster ways, rather than reactive Adaptation must increase resilience food production Brazilian Northeast, going beyond an individual event.

Language: Английский

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Next-Generation Breeding Strategies for Climate-Ready Crops

Frontiers in Plant Science, Journal Year: 2021, Volume and Issue: 12

Published: July 21, 2021

Climate change is a threat to global food security due the reduction of crop productivity around globe. Food matter concern for stakeholders and policymakers as population predicted bypass 10 billion in coming years. Crop improvement via modern breeding techniques along with efficient agronomic practices innovations microbiome applications, exploiting natural variations underutilized crops an excellent way forward fulfill future requirements. In this review, we describe next-generation tools that can be used increase production by developing climate-resilient superior genotypes cope challenges security. Recent genomic-assisted (GAB) strategies allow construction highly annotated pan-genomes give snapshot full landscape genetic diversity (GD) recapture lost gene repertoire species. Pan-genomes provide new platforms exploit these unique genes or variation optimizing programs. The advent clustered regularly interspaced short palindromic repeat/CRISPR-associated (CRISPR/Cas) systems, such prime editing, base de nova domestication, has institutionalized idea genome editing revamped improvement. Also, availability versatile Cas orthologs, including Cas9, Cas12, Cas13, Cas14, improved efficiency. Now, CRISPR/Cas systems have numerous applications research successfully edit major develop resistance against abiotic biotic stress. By adopting high-throughput phenotyping approaches big data analytics like artificial intelligence (AI) machine learning (ML), agriculture heading toward automation digitalization. integration speed genomic phenomic rapid identifications ultimately accelerate addition, multidisciplinary open exciting avenues climate-ready

Language: Английский

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Melatonin-mediated temperature stress tolerance in plants

GM crops & food, Journal Year: 2022, Volume and Issue: 13(1), P. 196 - 217

Published: Aug. 19, 2022

Global climate changes cause extreme temperatures and a significant reduction in crop production, leading to food insecurity worldwide. Temperature extremes (including both heat cold stresses) is one of the most limiting factors plant growth development severely affect physiology, biochemical, molecular processes. Biostimulants like melatonin (MET) have multifunctional role that acts as “defense molecule” safeguard plants against noxious effects temperature stress. MET treatment improves tolerance by improving several defense mechanisms. Current research also suggests interacts with other molecules, phytohormones gaseous which greatly supports adaptation Genetic engineering via overexpression or CRISPR/Cas system biosynthetic genes uplifts levels transgenic enhances stress tolerance. This review highlights critical production We documented how molecules alleviate MET-mediated breeding would be great potential helping adverse creating plants.

Language: Английский

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Artificial Intelligence in Biological Sciences

Life, Journal Year: 2022, Volume and Issue: 12(9), P. 1430 - 1430

Published: Sept. 14, 2022

Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve quality of life human beings. The fields AI and biological research are becoming more intertwined, methods for extracting applying information stored in live organisms constantly being refined. As field matures with trained algorithms, its application epidemiology, study host–pathogen interactions drug designing widens. is now applied several discovery, customized medicine, gene editing, radiography, image processing medication management. More precise diagnosis cost-effective treatment will be possible near future due AI-based technologies. In agriculture, farmers have reduced waste, increased output decreased amount time it takes bring their goods market advanced approaches. Moreover, use through machine learning (ML) deep-learning-based smart programs, one can modify metabolic pathways living systems obtain best outputs minimal inputs. Such efforts industrial strains microbial species maximize yield bio-based setup. This article summarizes potentials biology, such as industry.

Language: Английский

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Harnessing Sustainable Agriculture Through Climate-Smart Technologies

Advances in environmental engineering and green technologies book series, Journal Year: 2023, Volume and Issue: unknown, P. 214 - 239

Published: Dec. 7, 2023

Climate-smart technologies emerge as the nexus where sustainable agriculture and AI converge. These encompass a wide array of solutions that harness to make more resilient in face climatic challenges. Through sensor networks, remote sensing, data analytics, farmers can access real-time weather information, monitor soil conditions, optimize crop management practices. This chapter meticulously dissects hurdles posed by privacy concerns, technology, calls for collaborative efforts among governments, private sector, civil society overcome these challenges ensure benefits AI-powered are equitably distributed. embarks on profound exploration intersection between agriculture, climate change, cutting-edge artificial intelligence (AI) technologies. It delves into imperative role preservation, futuristic trends promise reshape our approach food production an era uncertainty.

Language: Английский

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