Crops and Environmental Stresses: Phenomes to Genomes
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Response to Abiotic Stress and Climate Change".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 22487
Special Issue Editors
Interests: abiotic stress physiology; adaptive traits and climate resilience; remote sensing applications in phenotyping; phenome to genome
Special Issue Information
Dear Colleagues,
Abiotic stresses are major yield-limiting factors in crop plants. Over 90% of the arable land is exposed to more than one stress during the growing season. Combined stresses during critical growth and developmental stages (vegetative, reproductive, and grain filling) can affect the genetic potential of crops by alerting a series of morpho-physiological, yield, and quality traits. Quantifying traits responses and connecting phenome to the genome are cornerstones for crop improvement. Therefore, accumulation of knowledge on stress physiology, trait responses, and identifying breeder-friendly markers would facilitate the development of climate-smart crops. The special issue entitled "Crops and Environmental Stresses: Phenomes to Genomes" welcomes research articles addressing knowledge gaps related to stress physiology, trait discovery, remote sensing, crop modeling, phenomics, genomics, and generating breeder-friendly phenotypic/biomarker information under individual (CO2, drought, heat, salinity, nutrient, disease) and combined stress in monocots and dicots.
Topics covered in this section include but are not limited to the following:
- Stress: CO2, Drought, extreme temperatures, waterlogging, nutrient, UV-B, and abiotic-biotic interaction
- Stage: Seedling, reproductive, and grain filling
- Tissue: Root, shoot, pollen, and seed
- Strategies: Phenome to the genome, remote sensing, crop modeling, plant growth regulators, biomolecules, field-based stress management mitigation, climate-smart breeding
Dr. Raju Bheemanahalli
Dr. K. Raja Reddy
Guest Editors
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Keywords
- breeding
- breeder-friendly traits
- climate change
- climate-smart crops
- combined stress
- crop modeling
- phenotyping
- remote sensing
- source-sink
- stress adaptive traits
- stress tolerance
- sustainable agriculture
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