Results 221 to 230 of about 161,361 (348)

Integrated lipidomics and physiological analyses reveal the critical role of leaf sheath wax remodeling in wheat (Triticum aestivum L.) drought resistance. [PDF]

BMC Plant Biol
Wen H, Meng X, Shan H, Wang Y, Wang S, Zhang M, Fan H, Zheng J, Yang B, Zhang J.   +9 more
europepmc   +1 more source

Root trait dynamics of historical canola varieties under low and high nitrogen supply

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Nitrogen fertilizer is a major input cost in crop production, making it crucial to enhance nitrogen use efficiency (NUE) to reduce fertilizer dependence without compromising yields. Root system architecture (RSA) is a key determinant of nutrient acquisition, particularly under nutrient‐limited conditions.
Shankar Pahari, Raju Soolanayakanahally
wiley   +1 more source

Defining the Molecular Impacts of Humalite Application on Field-Grown Wheat (Triticum aestivum L.) Using Quantitative Proteomics. [PDF]

Proteomics
Grubb LE, Talasila M, Gorim LY, Uhrig RG.   +3 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

Quantitative trait locus mapping for salt and drought tolerance traits in wheat (Triticum aestivum L.). [PDF]

BMC Plant Biol
Liu X, Sun T, Zhou Z, Tong Y, Zhou Z, Cao H, Qu J, Li Z, Yang Q, Xu M, Zhang B, Wang N, Wu Y, Sun H, Zhao C, Qin R, Cui F.   +16 more
europepmc   +1 more source

B chromosomes in wheat, Triticum aestivum L. [50]

, 1964
Peer ...
openaire   +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

Genome-wide association study of agronomic traits in winter wheat (Triticum aestivum L.) using a custom SNP marker set. [PDF]

BMC Plant Biol
Bazhenov M, Bespalova L, Samarina M, Polevikova N, Agaeva E, Debeliy A, Beliakova A, Ponisko A, Nazarova L, Chernook A, Karlov G, Divashuk M.   +11 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

Physiological and biochemical responses of wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) to combined exposure of Pharmaceuticals, personal care products (PPCPs), and artificial sweeteners (ASs). [PDF]

BMC Plant Biol
Elveren M.
europepmc   +1 more source