A5079570893- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Plant Molecular Biology Research
- Plant Virus Research Studies
- Genetic Mapping and Diversity in Plants and Animals
- Photosynthetic Processes and Mechanisms
- Cell Image Analysis Techniques
- Genetic and phenotypic traits in livestock
- Viral Infectious Diseases and Gene Expression in Insects
- Bioenergy crop production and management
- CRISPR and Genetic Engineering
- Plant Reproductive Biology
- Bird parasitology and diseases
- Animal Nutrition and Physiology
- Aquaculture disease management and microbiota
- Greenhouse Technology and Climate Control
- Augmented Reality Applications
- Plant nutrient uptake and metabolism
Donald Danforth Plant Science Center
2017-2024
Washington University in St. Louis
2015
Systems for collecting image data in conjunction with computer vision techniques are a powerful tool increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that flexible and extendable needed to address diversity of phenotyping problems. We previously described Plant Computer Vision (PlantCV) software package, is an processing toolkit analysis. The goal PlantCV project develop set modular, reusable, repurposable analysis...
Plant responses to the environment are shaped by external stimuli and internal signaling pathways. In both model plant Arabidopsis thaliana (Arabidopsis) crop species, circadian clock factors critical for growth, flowering, rhythms. Outside of Arabidopsis, however, little is known about molecular function gene products. Therefore, we sought compare Brachypodium distachyon (Brachypodium) Setaria viridis (Setaria) orthologs EARLY FLOWERING 3, a key in Arabidopsis. To identify cycling genes...
is a promising cellulosic feedstock crop for bioenergy due to its high biomass yields. However, early growth phases of sorghum are sensitive cold stress, limiting planting in temperate environments. Cold adaptability crucial cultivating and grain at higher latitudes elevations, or extending the growing season. Identifying genes alleles that enhance accumulation under stress can lead improved varieties through breeding genetic engineering.
Systems for collecting image data in conjunction with computer vision techniques are a powerful tool increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that flexible and extendable needed to address diversity of phenotyping problems. We previously described Plant Computer Vision (PlantCV) software package, is an processing toolkit analysis. The goal PlantCV project develop set modular, reusable, repurposable analysis...
Systems for collecting image data in conjunction with computer vision techniques are a powerful tool increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that flexible and extendable needed to address diversity of phenotyping problems. We previously described Plant Computer Vision (PlantCV) software package, is an processing toolkit analysis. The goal PlantCV project develop set modular, reusable, repurposable analysis...
Abstract Phenotypic measurements and images of crops grown under controlled‐environment conditions can be analyzed to compare plant growth other phenotypes from diverse varieties. Those demonstrating the most favorable phenotypic traits then used for crop improvement strategies. This article details a protocol image‐based root shoot phenotyping plants in greenhouse among different Diverse maize lines were large 8‐gallon treepots clay granule substrate. Replicates each line harvested at 4...
ABSTRACT Sorghum bicolor is a promising cellulosic feedstock crop for bioenergy because of its potential high biomass yields. However, in early growth phases, sorghum sensitive to cold stress, preventing planting temperate environments. Cold temperature adaptability vital the successful cultivation both and grain at higher latitudes elevations, season or extend growing season. Identification genes alleles that enhance accumulation grown under stress would enable development improved through...
In this retrospective study, 36 hematologic and biochemistry samples from white-naped crane (Grus vipio) were analyzed. All birds housed at a single institution, obtained between 1990 2013. cranes healthy the time of sample collection, ages ranged 1 mo to 33 yr old. Cranes below 18 old considered juveniles. Comparisons made means for juveniles adults males females. Significant increases in (P < 0.05) found following variables (differences shown parentheses): packed cell volume (8.3%), mean...
ABSTRACT Plant responses to the environment are shaped by external stimuli and internal signaling pathways. In both model plant Arabidopsis thaliana crop species, circadian clock factors have been identified as critical for growth, flowering rhythms. Outside of A. thaliana, however, little is known about molecular function genes. Therefore, we sought compare Brachypodium distachyon Seteria viridis orthologs EARLY FLOWERING3, a key gene in thaliana. To identify cycling genes putative ELF3...