Results 141 to 150 of about 1,111,197 (261)

Impact of Salinity on Rice Production in Vulnerable Southern Coastal Regions of Bangladesh: A Case Study Through a Cobb–Douglas Stochastic Production Function Model

Plant-Environment Interactions, Volume 7, Issue 6, December 2026.
ABSTRACT Salinity in coastal areas has a significant effect on the technical efficiency (maximum potential yield utilizing available inputs) of rice production and subsequently reduces food security in developing countries. We examined the salinity status and its impact on overall rice production across seasonal cycles in the southern coastal region of
Shahin Imran, Newton Chandra Paul, Md. Asif Mahamud, Jotirmoy Chakrobortty, Md. Najmol Hoque, Md Shihab Uddine Khan, Md. Jahurul Islam, Md. Rasheduzzaman, Akbar Hossain   +8 more
wiley   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

The Influence of Transgenic Insect-Resistance and Herbicide-Tolerance Soybean KM2208-23 on the Rhizosphere Micro-Biome. [PDF]

Plants (Basel)
Song X, Xia X, Yang S, Hao C, Sun H, Li F, Xu X, Zhang H, Lu X.   +8 more
europepmc   +1 more source

Preemergence Japanese stiltgrass control in turfgrass

Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.
Matthew T. Elmore, Daniel P. Tuck, Peter J. Nitzsche   +2 more
wiley   +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

Overexpression of Serotonin <i>N</i>-Acetyltransferase Cloned from the Green Algae <i>Chara braunii</i> Confers Peroxidizing Herbicide Tolerance Through the Induction of <i>Protoporphyrinogen Oxidase 1</i> in Rice. [PDF]

Antioxidants (Basel)
Lee K, Back K.
europepmc   +1 more source

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

Transcriptome and nutritional composition analysis of stacked transgenic maize with insect resistance and herbicide tolerance. [PDF]

GM Crops Food
Yu X, Gao H, Wang P.
europepmc   +1 more source

Affordable, practical, and robust biomass estimation in rice with minimal equipment using deep learning‐based image segmentation

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant biomass measurements are critical for crop improvement and breeding programs. Such measurements rely on destructive and labor‐intensive methods that limit continuous measurements of biomass over plant growth stages and time. This study aimed to develop an inexpensive, nondestructive method for estimating aboveground biomass in rice ...
John R. Mitchell, Jai S. Rohila, Trevis D. Huggins, Sathish K. Ponniah, Jeremy D. Edwards   +4 more
wiley   +1 more source

Multi-trait improvement of sorghum: co-expression of <i>bar</i>, <i>mcry1Ab</i>, and <i>mvip3A</i> enhances herbicide tolerance and pest resistance. [PDF]

aBIOTECH
Liu X, Yang J, Cui Y, Zhang X, Wang X, Wang Z.   +5 more
europepmc   +1 more source