Results 71 to 80 of about 760,293 (222)

Time‐series multi‐omics analysis of micronutrient stress in Sorghum bicolor reveals iron and zinc crosstalk and regulatory network conservation

Plant Biology, EarlyView.
Overlap between Fe and Zn responsive gene regulatory networks (GRNs) were found, indicative of micronutrient crosstalk, and conservation of root and leaf GRNs and genes suggests strong constraint on homeostasis networks in plants. Abstract Micronutrient stress impacts growth, biomass production, and grain yield in crops.
A. Mishra, A. Bhat, S. Kumari, R. Sharma, J. Braynen, D. Tadesse, S. El Alaoui, S. Seaver, N. Grosjean, D. Ware, M. Xie, T. Paape   +11 more
wiley   +1 more source

From Images to Loci: Applying 3D Deep Learning to Enable Multivariate and Multitemporal Digital Phenotyping and Mapping the Genetics Underlying Nitrogen Use Efficiency in Wheat

Plant Phenomics
The selection and promotion of high-yielding and nitrogen-efficient wheat varieties can reduce nitrogen fertilizer application while ensuring wheat yield and quality and contribute to the sustainable development of agriculture; thus, the mining and ...
Jiawei Chen, Qing Li, Dong Jiang
doaj   +1 more source

Framework of the Centralized Interactive Phenomics Resource (Cipher) Standard for Electronic Health Data-Based Phenomics Knowledgebase

, 2023
The development of phenotypes using electronic health records is a resource-intensive process. Therefore, the cataloging of phenotype algorithm metadata for reuse is critical to accelerate clinical research.
Ho, Yuk-Lam, Cho, Kelly, Galloway, Ashley, Liao, Katherine P, Gaziano, J Michael, Sangar, Rahul, Zimolzak, Andrew J, Casas, Juan P, Muralidhar, Sumitra, Cai, Tianxi, Maripuri, Monika, Fontin, Francesca, Whitbourne, Stacey B, Murray, Michael, Gosian, Jeffrey, Ramoni, Rachel B, Gagnon, David R, Honerlaw, Jacqueline   +17 more
core   +1 more source

Advances in the Integration of Genomic and Phenomic Tools in Cowpea Breeding for Improving Stress Resilience and Grain Yield and Quality

Legume Science, Volume 8, Issue 4, December 2026.
ABSTRACT Cowpea (Vigna unguiculata L. Walp) is a multi‐use crop highly valued as a food crop, high‐protein fodder, and sustainable cover crop. Yet, it remains underused, and yields in most growing regions are below the crop's potential due to multiple biotic and abiotic stresses.
Habib Akinmade, Luis Getino, María Muñoz‐Amatriaín, Esteban Rios   +3 more
wiley   +1 more source

The Use of Low-Cost Drone and Multi-Trait Analysis to Identify High Nitrogen Use Lines for Wheat Improvement

Agronomy
Breeding for nitrogen use efficiency (NUE) is becoming more important as global uncertainty makes the production and application of nitrogen (N) fertilizers more expensive and environmentally unfriendly.
Liyan Shen, Greg Deakin, Guohui Ding, Mujahid Ali, Jie Dai, Zhenjie Wen, Felipe Pinheiro, Ji Zhou, Robert Jackson   +8 more
doaj   +1 more source

Balancing Short‐Term Genetic Gain and Long‐Term Diversity: Haplotype‐Based Breeding Strategies for Yield Improvement in Chickpea

Legume Science, Volume 8, Issue 4, December 2026.
ABSTRACT Chickpea (Cicer arietinum L.) is one of the most important grain legumes and provides a major source of protein, vitamins and minerals worldwide. Despite decades of traditional breeding delivering significant genetic gains in disease resistance and adaptation, seed yield improvement has advanced only incrementally, constrained by the highly ...
Bhargava Kotte, Rutwik Barmukh, Will Shaffer, Oluwaseun J. Akinlade, Ajaya Karkee, Michael Udvardi, Lee Hickey, Rajeev K. Varshney   +7 more
wiley   +1 more source

Functional phenomics pipeline

, 2018
The functional phenomics pipeline shows how knowledge about plant physiology can be inferred from phenotyping ...
Larry York (3849673)
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

State-of-the-art Technology and Applications in Crop Phenomics [PDF]

, 2021
Yang, Wanneng, Doonan, John H., Hawkesford, Malcolm J., Pridmore, Tony, Zhou, Ji   +4 more
openaire   +3 more sources

A systematic representation of crop rotations. [PDF]

, 2008
Crop rotations are allocations by growers of crop types to specific fields through time. This paper aims at presenting (i) a systematic and rigorous mathematical representation of crops rotations; and (ii) a concise mathematical framework to model ...
Morris, J., Wood, G. A., Morris, Joe, Burgess, Paul J., Perry, J. N., Burgess, P. J., Castellazzi, M. S., Conrad, K. F., Conrad, Kelvin, Perry, Joe N.   +9 more
core   +1 more source