Genetic analysis of wheat ear architecture in F2 hybrid of tetraploid wheats Triticum aethiopicum and T. carthlicum and its computer phenotyping. [PDF]
Kruchinina YV +5 more
europepmc +1 more source
Prediction of cereal rye biomass accumulation in Wisconsin based on weather and agronomic management
Abstract Cereal rye (Secale cereale L.) biomass accumulation is strongly influenced by weather conditions and management practices, making accurate biomass estimates critical for guiding farmers’ management decisions. In this study, we evaluated how weather (e.g., temperature and rainfall) and management practices (including planting and termination ...
Fabiano Colet +12 more
wiley +1 more source
Genomic insights into end-use grain quality and nutritional traits of an ancient Indian dwarf wheat ( Triticum sphaerococcum Percival) population using a multi-locus genome-wide association study. [PDF]
Gaikwad KB +10 more
europepmc +1 more source
Root trait dynamics of historical canola varieties under low and high nitrogen supply
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
Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat
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 +4 more
wiley +1 more source
Complete chloroplast genome of Triticum aestivum cultivar 'Keumkang' from Korea (Poaceae) and comparative chloroplast genomes of the members of the Triticum genus. [PDF]
Kim KR +6 more
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
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 +12 more
wiley +1 more source
Correction: A segment of <i>Triticum timopheevii</i> chromosome 3G confers type II <i>Fusarium</i> head blight resistance and reduces DON accumulation in wheat. [PDF]
Steed A +5 more
europepmc +1 more source
Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
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 +3 more
wiley +1 more source

