Results 211 to 220 of about 144,931 (354)

Identification and validation of qPC-3A, a stable QTL for flour protein content in hard wheat (Triticum aestivum L.). [PDF]

Theor Appl Genet
Cha JK, Park H, Jang SG, Kwon Y, Lee SM, Kim KM, Kim WJ, Lee JH.   +7 more
europepmc   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

Identification of resistance sources and genomic regions regulating spot blotch resistance in Asian bread wheat (Triticum aestivum L.) via genome-wide association study. [PDF]

Plant Genome
Aggarwal N, He X, Rathore M, Jan F, Gupta V, Mir RR, Singh PK.   +6 more
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Selection of Wheat (<i>Triticum aestivum</i> L.) Genotypes for Salinity Tolerance Based on Yield and Ionic Attributes Under Saline Soil Conditions. [PDF]

Life (Basel)
Alshamrani R, Al-Otayk SM, Elbasyoni IS, Motawei MI.   +3 more
europepmc   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

Molecular mapping of QTLs for stripe rust resistance in bread wheat (Triticum aestivum L.). [PDF]

BMC Plant Biol
Sharma R, Kumar S, Prasad P, Kumar U, Yashveer S, Gangwar OP, Udupa S, Sharma I, Tiwari R, Sharma P.   +9 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

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

The Auxin Response Factor <i>TaARF18-A</i> Negatively Regulates Salt Tolerance in Common Wheat (<i>Triticum aestivum</i> L.). [PDF]

Plants (Basel)
Wen Y, Li Y, Bao S, Cao G, Li M, Wang J, Ding B, Xie X, Qiu L.   +8 more
europepmc   +1 more source