Results 141 to 150 of about 35,542 (284)

Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract High‐throughput phenotyping (HTP) techniques have brought new opportunities to understand and evaluate key traits in plant breeding programs. Combining multiple measures through time and random regression models permits a more comprehensive understanding of the genetic and environmental effects on trait expression over time. This study aims to
Felipe Sabadin, Amelia Loeb, Francis Reith, Alexis Perry, Sunilda Frias, Demetrius Ragland, Limei Liu, Wynse Brooks, Ranjita Thapa, Julie Hansen, Christopher Pierce, Virginia M. Moore, Gina Brown‐Guedira, Ian Ray, Michael A. Gore, Kelly Robbins, Nicholas Santantonio   +16 more
wiley   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

Smartphone‐based proximal sensing as an accessible platform for improved physiological phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract We tested whether smartphone‐based sensing could deliver accurate physiological traits in an accessible and low‐cost platform. A smartphone, carried by someone walking through a field, was used to generate a high‐resolution time series of images for 10 genotypes of cowpea (Vigna unguiculata L. Walp.).
Isaac K. Uyehara, Jonathan M. Berlingeri, Sassoum Lo, Margaret Riggs, Riya Desai, Kyle T. Rizzo, J. Mason Earles, Christine H. Diepenbrock, Brian N. Bailey   +8 more
wiley   +1 more source

Projected Climate Change Impacts on Phenology, Yield and Water Productivity of Wheat and Potato in Northwest Bangladesh

Journal of Sustainable Agriculture and Environment, Volume 5, Issue 4, December 2026.
ABSTRACT Assessing climate change impacts on agriculture is essential for developing effective adaptation strategies, with crop simulation models providing valuable tools for evaluating future crop productivity. This study assessed climate change impacts on wheat and potato productivity in northwest Bangladesh using 27 Global Climate Models (GCMs) from
Md Belal Hossain, Ketema Zeleke, De Li Liu, K M Shamsul Haque, Bin Wang   +4 more
wiley   +1 more source

Optimizing multi‐trait selection for profitability in Illinois wheat using a factor analytic mixed model and an economic selection index

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Economic selection indices can improve the efficiency of selection for multiple traits, but they are underutilized in plant breeding due to limited research on the economic values of traits and a lack of well‐documented case examples employing economic indices.
Lucas Berger Munaro, Daniel J. Tolhurst, Jessica E. Rutkoski   +2 more
wiley   +1 more source

Identification of germplasm and genomic markers associated with reduced T‐2 and HT‐2 mycotoxin accumulation in oat

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Harmful T‐2 and HT‐2 mycotoxins are produced by Fusarium langsethiae and Fusarium sporotrichioides in developing oat (Avena sativa L.) grain. This study identified oat genotypes with consistently low toxin accumulation across environments. Toxin enzyme‐linked immunosorbent assay and fungal DNA (quantitative polymerase chain reaction) levels ...
Farhana Afroze, Natarajan Subramani, Amal Kahla, Cathal McCabe, Angela Feechan, Atikur Rahman, Humberto Fanelli Carvalho, Julio Isidro‐Sánchez, Fiona Doohan   +8 more
wiley   +1 more source

Characterizing the long-term variation in grain quality of super hybrid rice under the interactive effects of nitrogen and climate. [PDF]

Front Plant Sci
Zhang X, Guo Z, Li J, Yang J, Liu T, Hu Q, Luo X, Xiao G, Shi W.   +8 more
europepmc   +1 more source

Anthesis

Offset, 2017
openaire   +2 more sources

Is quinoa‐farming sustainable in marginal environments? Social, economical and environmental aspects

Journal of the Science of Food and Agriculture, Volume 106, Issue 14, Page 8315-8328, November 2026.
Abstract Quinoa (Chenopodium quinoa Willd.) is an Andean grain crop introduced as a novel crop to many parts of the world in recent years. Recognized for nutritious seeds and high abiotic stress tolerance, it has been promoted as an element of climate‐resilient agriculture, particularly in marginal environments.
Anna Tabea Mengen, Damir Esenaliev, Jakhongir Babadjanov, Lukas John, Sandra M. Schmöckel, Botir Khaitov   +5 more
wiley   +1 more source