Results 261 to 270 of about 79,451 (308)

Carbon dioxide-enriched atmosphere diminished the phytotoxicity of neodymium in wheat (<i>Triticum aestivum</i> L.). [PDF]

Front Plant Sci
Saleh AM, Haridy MSA, Mohammed AE, Ziska L, Alotaibi MO, Khalil AMA, Madany MMY, Abd Elgawad H, Amer HEA.   +8 more
europepmc   +1 more source

Assessing pre‐plant nitrogen sources and waterlogging on corn growth and yield

Crop, Forage &Turfgrass Management, Volume 11, Issue 2, December 2025.
Abstract Flooding and waterlogging from strong storms can negatively affect corn (Zea mays L.) growth and yield. Ensuring adequate nitrogen (N) supply after waterlogging is key to optimizing corn yield, though limited evaluations of enhanced efficiency fertilizers have been conducted in conjunction with waterlogging conditions.
Wanderson Novais, Christine D. Sprunger, Meredith Mann, Laura E. Lindsey, Osler A. Ortez, Alexander J. Lindsey   +5 more
wiley   +1 more source

Chromosome-level genome assembly of the Durum wheat cultivar Langdon. [PDF]

Sci Data
Chen M, Li J, Zhang Y, Ding Y, Qin W, Wu M, Li N, Jin C, Wang H, Chen S, Niu D, Sun X, Zhang B, Chen S, Wang Z, Shi C, Zhang K, Wang D, Dai S, Yan Z, Li G.   +20 more
europepmc   +1 more source

Off‐the‐shelf image analysis models outperform human visual assessment in identifying genes controlling seed color variation in sorghum

The Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract Seed color is a complex phenotype linked to both the impact of grains on human health and consumer acceptance of new crop varieties. Today, seed color is often quantified via qualitative human assessment or biochemical assays for specific colored metabolites.
Nikee Shrestha, Harshita Mangal, J. Vladimir Torres‐Rodriguez, Michael C. Tross, Lina Lopez‐Corona, Kyle Linders, Guangchao Sun, Ravi V. Mural, James C. Schnable   +8 more
wiley   +1 more source

Transcriptomic Analysis to Understand the Nitrogen Stress Response Mechanism in BNI-Enabled Wheat. [PDF]

Int J Mol Sci
Mishra CN, Pawar SK, Sharma S, Thakur A, Sabhyata S, Mishra S, Kumar S, Gupta OP, Joshi AK, Tiwari R.   +9 more
europepmc   +1 more source

High‐throughput phenotyping of stay‐green in a sorghum breeding program using unmanned aerial vehicles and machine learning

The Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract As climate change continues to influence global weather patterns, the frequency and severity of drought conditions are expected to increase, posing a significant challenge to crop production. In sorghum (Sorghum bicolor L. Moench), a key cereal crop, the stay‐green trait is of particular importance as a measure of how well a genotype can ...
N. Ace Pugh, Andrew Young, Yves Emendack, Jacobo Sanchez, Zhanguo Xin, Chad Hayes   +5 more
wiley   +1 more source

Allelic Variations in Phenology Genes in Club Wheat (<i>Triticum compactum</i>) and Their Association with Heading Date. [PDF]

Int J Mol Sci
Mata B, Cabrera A.
europepmc   +1 more source

Temporal field phenomics of transgenic maize events subjected to drought stress: Cross‐validation scenarios and machine learning models

The Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract Global climate change has driven breeding programs to develop abiotic stress‐resilient plant varieties. Traditionally, assessing drought resilience involves labor‐intensive and time‐consuming processes. This study used an unmanned aerial system (UAS) to predict key phenotyping traits in maize (Zea mays L.) and monitor plant response to drought
Helcio Duarte Pereira, Juliana Vieira Almeida Nonato, Rafaela Caroline Rangni Moltocaro Duarte, Isabel Rodrigues Gerhardt, Ricardo Augusto Dante, Paulo Arruda, Juliana Erika de Carvalho Teixeira Yassitepe   +6 more
wiley   +1 more source

A Bread Wheat Line with the Substituted Wild Emmer Chromosome 4A Results in Fragment Deletions of Chromosome 4B and Weak Plants. [PDF]

Plants (Basel)
Qiu Y, Lu F, Yang B, Hu X, Zhao Y, Ding M, Yang L, Rong J.   +7 more
europepmc   +1 more source

Do not benchmark phenomic prediction against genomic prediction accuracy

The Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract Phenomic selection is a new paradigm in plant breeding that uses high‐throughput phenotyping technologies and machine learning models to predict traits of new individuals and make selections. This can allow breeders to evaluate more plants in higher throughput more accurately, resulting in faster rates of gain and reduced labor costs. However,
Fangyi Wang, Mitchell J. Feldmann, Daniel E. Runcie   +2 more
wiley   +1 more source