Results 101 to 110 of about 15,086 (222)

Organic Winter Wheat Variety Trial Report [PDF]

open access: yes, 2013
In 2013, the University of Vermont Extension, in collaboration with the University of Maine, began the fourth year of extensive organic variety trials evaluating hard red winter wheat in order to determine which varieties thrive in the Northeast.
Burke, Conner   +4 more
core   +1 more source

Strategies for Wheat Stripe Rust Pathogenicity Identified by Transcriptome Sequencing

open access: yesPLoS ONE, 2013
Stripe rust caused by the fungus Puccinia striiformis f.sp. tritici (Pst) is a major constraint to wheat production worldwide. The molecular events that underlie Pst pathogenicity are largely unknown. Like all rusts, Pst creates a specialized cellular structure within host cells called the haustorium to obtain nutrients from wheat, and to secrete ...
Garnica, Diana P   +3 more
openaire   +5 more sources

Skim‐sequencing for genomic selection in wheat: a comparison of marker platforms

open access: yesThe Plant Genome, Volume 19, Issue 1, March 2026.
Abstract The promise of genomics‐assisted breeding relies on efficient, affordable, and abundant molecular markers. Leveraging modern sequencing technology, commercial laboratory products, and open‐source software, we demonstrate how ultra‐low whole‐genome sequencing coverage (skim‐seq, 0.05–0.10x) can be a viable marker platform. The direct generation
Jared L. Crain   +6 more
wiley   +1 more source

Use of DNA-based genetic markers in plant breeding [PDF]

open access: yes, 2005
Genetic markers have been used since the beginnings of plant breeding, but the concept of linkage and recently the availability of molecular markers have offered new and powerful tools that can help to perform the traditional tasks of selection or that ...
Backes, Gunter
core  

Identification of stripe rust adult plant resistance genes in the hard winter wheat cultivar Baker's Ann

open access: yesThe Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Stripe rust, caused by Puccinia striiformis f. sp. tritici, is among the most destructive wheat (Triticum aestivum L.) diseases. Identifying resistance genes is crucial for the development of resistant cultivars. Baker's Ann, a hard winter wheat cultivar developed by Oklahoma State University, has shown stable adult plant resistance to stripe ...
Rajat Sharma   +10 more
wiley   +1 more source

Identification and molecular mapping of resistance genes for adult-plant resistance to stripe rust in spring wheat germplasm line PI660076

open access: yesFood Production, Processing and Nutrition
Wheat is one of the major food crops worldwide. Stripe rust can cause a great loss of wheat yield, especially when the disease is prevalent. Chemical control not only causes the loss of resistance to stripe rust but also has a serious impact on the human
Runsheng Ren   +8 more
doaj   +1 more source

Pyramiding of High Grain Weight With Stripe Rust and Leaf Rust Resistance in Elite Indian Wheat Cultivar Using a Combination of Marker Assisted and Phenotypic Selection

open access: yesFrontiers in Genetics, 2020
Wheat (Triticum aestivum L.) is an important cereal crop globally as well as in India and yield improvement programs encounter a strong impediment from ever-evolving rust pathogens.
Satinder Kaur   +7 more
doaj   +1 more source

Isolation and fine mapping of Rps6: An intermediate host resistance gene in barley to wheat stripe rust [PDF]

open access: yes, 2016
A plant may be considered a nonhost of a pathogen if all known genotypes of a plant species are resistant to all known isolates of a pathogen species. However, if a small number of genotypes are susceptible to some known isolates of a pathogen species ...
AJ Castro   +62 more
core   +1 more source

An Effective Approach for Recognition of Crop Diseases Using Advanced Image Processing and YOLOv8

open access: yesFood Science &Nutrition, Volume 14, Issue 2, February 2026.
The performance of processed images is evaluated using mean‐squared‐error and peak‐signal‐to‐noise ratio. After the processing phase, an advanced deep learning model, YOLOv8, was used for the segmentation and classification of crop diseases. Using a large dataset comprising 32 diseases to train our model, we implemented Transfer Learning using YOLOv8 ...
Muhammad Nouman Noor   +7 more
wiley   +1 more source

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