Results 221 to 230 of about 108,761 (296)

Comparative Analysis of Triticeae Satellite Repeats Using Low-Coverage Sequencing, qPCR, and FISH. [PDF]

Int J Mol Sci
Yurkina AI, Kroupin PY, Ulyanov DS, Sokolova VM, Karlov GI, Divashuk MG.   +5 more
europepmc   +1 more source

Hemp seed counting and morphometric analysis method comparison

The 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

Successive nitric oxide and lipoic acid priming mitigates [ZnO]NPs toxicity in wheat: experimental and DFT insights. [PDF]

Sci Rep
El Shazoly RM, El Zohary AM, El-Sayed MM, Othman AA, Mohammed AAK, Abdel-Basset R.   +5 more
europepmc   +1 more source

Assessing double‐crop soybean management practices in central Illinois

Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.
Giovani Preza Fontes, Dan Schaefer, Eric Miller, John Jones   +3 more
wiley   +1 more source

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison, Thomas L. Hotte, A. Claire Gahagan, Nathaniel W. W. Ort, Elroy R. Cober   +4 more
wiley   +1 more source

Triticum L.

openaire   +2 more sources

Phylogenetic and Functional Analyses of Wheat <i>TaMAN</i> Genes Responding to Salinity and Pathogens. [PDF]

Biology (Basel)
Wang Y, Wang Y, Li J, Lei M, Xie Z, Liu X.   +5 more
europepmc   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Development of purple-grain triticale. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Petrash NV, Stepochkin PI.
europepmc   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source