Results 181 to 190 of about 132,659 (295)

Bioprotective role of <i>Cladosporium tenuissimum</i> counteracting heavy metal (chromium) stress in <i>Triticum aestivum</i> L. [PDF]

Front Microbiol
Shahid S, Ambrin, Bibi S, Vasila S, Asad F, Gechev T.   +5 more
europepmc   +1 more source

AB-QTL analysis in winter wheat: II. Genetic analysis of seedling and field resistance against leaf rust in a wheat advanced backcross population [PDF]

, 2008
Kunert, A., Leon, J., Lind, V., Naz, A., Pillen, K.   +4 more
core   +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 linkage mapping of Fusarium head blight resistance in common wheat (<i>Triticum aestivum</i> L.). [PDF]

Front Plant Sci
Gao F, Zhao Y, Wang W, Wang X, Wang F, Shang J, Qin B, Wang Y, Yan G, Li Z, Sun D, Sun L.   +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

The Proteomic and Peptidomic Response of Wheat (<i>Triticum aestivum</i> L.) to Drought Stress. [PDF]

Plants (Basel)
Azarkina R, Makeeva A, Mamaeva A, Kovalchuk S, Ganaeva D, Tikhonovich I, Fesenko I.   +6 more
europepmc   +1 more source

Which indicators are most effective at detecting rapid shifts in soil health?

Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.
Abstract Farmers are showing a growing interest in soil health. Therefore, it is necessary to understand how and when indicators respond to changes in land management. Measurements of soil carbon (C) and nitrogen can take up to a decade to shift. However, it is unknown how other biotic markers of soil health (i.e., nematode communities) react.
Kaitlin Gattoni, Meredith Mann, Christine D. Sprunger   +2 more
wiley   +1 more source

Genome-wide analysis of the BES1 gene family reveals their involvement in grain development of Triticum aestivum L. [PDF]

BMC Genomics
Zhang Y, Xu Y, Mao Y, Wang M, Li X, Jiang L, Hao J, Zhang D, Ji H, Ma X.   +9 more
europepmc   +1 more source

Peanut response following soybean grown full‐season or double‐cropped after wheat in North Carolina

Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract Including soybean [Glycine max (L.) Merr.] in the previous cropping cycle can adversely affect peanut (Arachis hypogaea L.) yield by increasing disease incidence and populations of plant‐parasitic nematodes in the soil. The impact of double‐cropping wheat (Triticum aestivum L.) and soybean versus full‐season soybean (referred to as the soybean
David L. Jordan, Rachel Vann, Donald J. Stokes, Dwight Cauthen, Ethan Foote, Angela Post, Adrienne Gorny, LeAnn Lux, Brian Stevens, Michael Brake, Stephen Deal, Ivy Lanier   +11 more
wiley   +1 more source

Field evaluation of novel PGPM consortium bioinoculants for growth regulation and yield enhancement in bread wheat (Triticum aestivum L.) and maize (Zea Mays L.). [PDF]

BMC Plant Biol
Patil SD, Jobanputra AH, Upadhye VJ, Mujahid MH, Ahmed S.   +4 more
europepmc   +1 more source