Results 191 to 200 of about 43,809 (255)

A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes

The Journal of Physiology, EarlyView.
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner, Fabio Frangiamore, Frédéric Sonak, Josef Madl, Thomas Seidel, Peter Kohl, Eva A. Rog‐Zielinska   +6 more
wiley   +1 more source

Ultrasound-assisted extraction of anti-inflammatory actives from corn silk (Zea mays L.): Process optimization, machine learning screening, and interaction mechanisms. [PDF]

Ultrason Sonochem
Zhao HF, Han SY, Xiao L, Yu BK, Xia N, Zhang YH.   +5 more
europepmc   +1 more source

Root trait dynamics of historical canola varieties under low and high nitrogen supply

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Impact of Acacia-derived biochar to mitigate salinity stress in Zea mays L. by morpho-physiological and biochemical indices. [PDF]

Sci Rep
Murtaza G, Deng G, Usman M, Jamil A, Qasim M, Iqbal J, Ercisli S, Akram MI, Rizwan M, Elshikh MS, Rizwana H, Ahmed Z, Iqbal R.   +12 more
europepmc   +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

Author Correction: Intercropping maize (Zea mays L.) and field beans (Vicia faba L.) for forage, increases protein production. [PDF]

Sci Rep
Sowiński J.
europepmc   +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

Assessment of Bacterial Diversity and Rhizospheric Community Shifts in Maize (<i>Zea mays</i> L.) Grown in Soils with Contrasting Productivity Levels. [PDF]

Plants (Basel)
Cano-Serrano S, Castelán-Sánchez HG, Oyaregui-Cabrera H, Hernández LG, Pérez-Pérez MC, Santoyo G, Orozco-Mosqueda MDC.   +6 more
europepmc   +1 more source

Spatial analysis of cell patterning to aid genetic and phenotypic understanding of grass stomatal density: A case study in maize

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Biological processes involve complex hierarchies where composite traits result from multiple component traits. However, holistically understanding of how sets of component traits interact to underpin genotype‐to‐phenotype relationships is generally lacking.
John G. Hodge, Andrew D. B. Leakey
wiley   +1 more source

Nutritional composition of <i>Zea mays L</i>: A comprehensive Review of Macronutrients, Micronutrients, and Bioactive Compounds. [PDF]

Open Res Afr
Ifie SE, Dangana RS, Swase D, Ben Okon M, Makena W, Agunloye MO, Ugwu CN, Ifie JE, Odoma S, Babangida AI, Aja PM.   +10 more
europepmc   +1 more source