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As a consequence of the global climate change, both the reduction on yield potential and the available surface area of cultivated species will compromise the production of food needed for a constant growing population. There is consensus about the significant gap between world food consumption projected for the coming decades and the expected crop yield-improvements, which are estimated to be insufficient to meet the demand. The complexity of this scenario will challenge breeders to develop cultivars that are better adapted to adverse environmental conditions, therefore incorporating a new set of morpho-physiological and physico-chemical traits; a large number of these traits have been found to be linked to heat and drought tolerance. Currently, the only reasonable way to satisfy all these demands is through acquisition of high-dimensional phenotypic data (high-throughput phenotyping), allowing researchers with a holistic comprehension of plant responses, or ‘Phenomics’. Phenomics is still under development. This Research Topic aims to be a contribution to the progress of methodologies and analysis to help understand the performance of a genotype in a given environment.

software development --- reverse phenomics --- forward phenomics --- phenotyping --- high-throughput phenotyping --- phenomics --- breeding

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"Phenomics" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements across time to follow phenotypes as a function of developmental time. These longitudinal traits promise new insights into the ways in which crops respond to their environment including how they are managed. To maximize the benefit, these approaches should ideally be scalable so that large populations in multiple environments can be sampled repeatedly at reasonable cost. Thus, the development and validation of non-contact sensing technologies remains an area of intensive activity that ranges from Remote Sensing of crops within the landscape to high resolution at the subcellular level. Integration of this potentially highly dimensional data and linking it with variation at the genetic level is an ongoing challenge that promises to release the potential of both established and under-exploited crops.

RGB data --- Multispectral imaging --- RGB image analysis --- artificial vision --- Phenomics

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"Phenomics" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements across time to follow phenotypes as a function of developmental time. These longitudinal traits promise new insights into the ways in which crops respond to their environment including how they are managed. To maximize the benefit, these approaches should ideally be scalable so that large populations in multiple environments can be sampled repeatedly at reasonable cost. Thus, the development and validation of non-contact sensing technologies remains an area of intensive activity that ranges from Remote Sensing of crops within the landscape to high resolution at the subcellular level. Integration of this potentially highly dimensional data and linking it with variation at the genetic level is an ongoing challenge that promises to release the potential of both established and under-exploited crops.

RGB data --- Multispectral imaging --- RGB image analysis --- artificial vision --- Phenomics --- RGB data --- Multispectral imaging --- RGB image analysis --- artificial vision --- Phenomics

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plant phenomics --- agronomy --- plant physiology --- pest management --- plant breeding --- plant breeding --- plant genetics --- plant phenome --- phenotype linkage --- Phenotype --- Plant genetics --- Plant genetics. --- Phenotype. --- Plants --- Genetics --- Phenotypes --- Genotype-environment interaction --- Genètica vegetal --- Dades de recerca. --- Algorismes. --- Processament de dades. --- Genètica vegetal. --- Phénotypes --- Génétique végétale

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Abnormalities, Human --- Gene expression --- Human genetics --- Congenital Abnormalities --- Genetic Variation. --- Phenotype --- Phenotypes --- Phenomics --- Gene Expression --- Diversity, Genetic --- Genetic Diversity --- Variation, Genetic --- Diversities, Genetic --- Genetic Diversities --- Genetic Variations --- Variations, Genetic --- Biological Variation, Population --- Abnormalities, Congenital --- Defects, Congenital --- Birth Defects --- Congenital Defects --- Deformities --- Fetal Anomalies --- Fetal Malformations --- Abnormality, Congenital --- Anomaly, Fetal --- Birth Defect --- Congenital Abnormality --- Congenital Defect --- Defect, Birth --- Defect, Congenital --- Deformity --- Fetal Anomaly --- Fetal Malformation --- Malformation, Fetal --- Fetal Diseases --- Infant, Newborn, Diseases --- Teratogenesis --- Abnormalities --- Anomalies, Congenital --- Birth defects --- Congenital abnormalities --- Congenital anomalies --- Defects, Birth --- Developmental abnormalities --- Human abnormalities --- Malformations, Congenital --- Morphology --- Pathology --- Teratology --- Genetic aspects&delete& --- Congresses --- Gynaecology. Obstetrics --- Genetic Variation --- Genetic aspects