Closing the phenotyping gap with non-invasive belowground field phenotyping [PDF]
Breeding climate-robust crops is one of the needed pathways for adaptation to the changing climate. To speed up the breeding process, it is important to understand how plants react to extreme weather events such as drought or waterlogging in their ...
G. Blanchy +9 more
doaj +10 more sources
Using proximal remote sensing in non-invasive phenotyping of invertebrates. [PDF]
Proximal imaging remote sensing technologies are used to phenotype and to characterize organisms based on specific external body reflectance features. These imaging technologies are gaining interest and becoming more widely used and applied in ecological,
Xiaowei Li +5 more
doaj +7 more sources
Handheld Multifunctional Fluorescence Imager for Non-invasive Plant Phenotyping
Fluorescence imaging has shown great potential in non-invasive plant monitoring and analysis. However, current systems have several limitations, such as bulky size, high cost, contact measurement, and lack of multifunctionality, which may hinder its ...
Ruochong Zhang +10 more
doaj +5 more sources
Salinity tolerance loci revealed in rice using high-throughput non-invasive phenotyping [PDF]
Image-based plant phenotyping can be used to collect data with high temporal and spatial resolution. Here, the authors develop a computationally efficient method using smoothing splines and a new marker-by-trait association model to identify loci in a ...
Nadia Al-Tamimi +8 more
doaj +6 more sources
Combination of an Automated 3D Field Phenotyping Workflow and Predictive Modelling for High-Throughput and Non-Invasive Phenotyping of Grape Bunches [PDF]
In grapevine breeding, loose grape bunch architecture is one of the most important selection traits, contributing to an increased resilience towards Botrytis bunch rot. Grape bunch architecture is mainly influenced by the berry number, berry size, the total berry volume, and bunch width and length.
Jennifer Mack +2 more
exaly +2 more sources
PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture [PDF]
ABSTRACT: The root system architecture (RSA) of plants and its functioning play a fundamental role in a number of plant growth mechanisms including water and nutrient uptake. Optimization of the RSA is important for stable and increased plant productivity under adverse conditions.
Saulo Muñíz Martins +2 more
exaly +6 more sources
Towards the synthesis of spectral imaging and machine learning-based approaches for non-invasive phenotyping of plants [PDF]
Alexei Solovchenko +2 more
exaly +2 more sources
Breeding for Cercospora resistant sugar beet cultivars requires field experiments for testing resistance levels of candidate genotypes in conditions that are close to agricultural cultivation.
Marcus Jansen +4 more
doaj +3 more sources
GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping
Grain count is an important trait in sorghum because it is highly correlated to the potential yield. By accurately phenotyping the number of grains per panicle, farmers and agronomists can better monitor crop development. Additionally, mapping the spatial variability of grain count can help identify areas of the field with higher or lower potential ...
Daniel Smith +2 more
exaly +4 more sources
Contemporary applications of vibrational spectroscopy in plant stresses and phenotyping
Plant pathogens, including viruses, bacteria, and fungi, cause massive crop losses around the world. Abiotic stresses, such as drought, salinity and nutritional deficiencies are even more detrimental.
Isaac D. Juárez +3 more
doaj +3 more sources

