Results 181 to 190 of about 60,041 (289)

Role of long non-coding RNA in regulatory network response to Candidatus Liberibacter asiaticus in citrus. [PDF]

open access: yesFront Plant Sci, 2023
Zhuo X   +7 more
europepmc   +1 more source

Spatial analysis of cell patterning to aid genetic and phenotypic understanding of grass stomatal density: A case study in maize

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Biological processes involve complex hierarchies where composite traits result from multiple component traits. However, holistically understanding of how sets of component traits interact to underpin genotype‐to‐phenotype relationships is generally lacking.
John G. Hodge, Andrew D. B. Leakey
wiley   +1 more source

Protocol for isolating plant-derived extracellular vesicles. [PDF]

open access: yesSTAR Protoc
Chen Y, Xu L, Yu Y, Xu Z, Xiao S, Mai H.
europepmc   +1 more source

Hemp seed counting and morphometric analysis method comparison

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract The USDA ARS Hemp Germplasm Laboratory recently acquired over 800 hemp accessions (Cannabis sativa L.). Variation in hemp seed size characteristics is needed to develop quantitative standards to support the transition of hemp grain into a commodity.
Tyler Gordon, Zachary Stansell
wiley   +1 more source

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner   +2 more
wiley   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan   +1 more
wiley   +1 more source

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