Results 211 to 220 of about 138,794 (342)

Effect of indole-3-acetic acid on aluminum-induced efflux of malic acid from wheat (Triticum aestivum L.) [PDF]

, 2011
Ye Yang, Qiao Lan Wang, Ming Jian Geng, Zai Hua Guo, Zhuqing Zhao   +4 more
openalex   +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

Genome-wide association study for agronomic and yield-related traits in spring wheat (Triticum aestivum L.) germplasm. [PDF]

BMC Plant Biol
Thakur A, Dhariwal R, Joshi AK, Mishra VK, Sharma S, Singh MK, Kumar S, Vasistha NK.   +7 more
europepmc   +1 more source

Effect of Drought Stress Conditions and Nitrogen Fertilizer on Growth of Two Cultivars of Wheat (Triticum aestivum L.) [PDF]

, 2015
A. Awad, H. Abdel-Mottaleb, M. Hammada, M.S. El Kotb, Mohammed H. Abass   +4 more
openalex   +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

Understanding the genetic basis of heat stress tolerance in wheat (Triticum aestivum L.) through genome-wide association studies. [PDF]

Plant Genome
Gudi S, Singh J, Gill H, Sehgal S, Faris JD, Gill U, Gupta R.   +6 more
europepmc   +1 more source

Triticum aestivum L.

Finnish Museum of Natural History
openalex   +1 more source

Additional file 6: of Prediction and analysis of three gene families related to leaf rust (Puccinia triticina) resistance in wheat (Triticum aestivum L.)

, 2017
Fred Y Peng, Rong‐Cai Yang
openalex   +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

Investigating the role of bulk and nano nickel in amelioration of morphophysiology and photosynthetic activity of Triticum aestivum L. [PDF]

Sci Rep
Bibi S, Uddin S, Anas M, Elahi M, Iqbal J, Khan S, Mahmoodi M, Kazi M, Alanazi FK, Quraishi UM.   +9 more
europepmc   +1 more source