Results 241 to 250 of about 128,601 (309)

An improved spatially downscaled solar-induced chlorophyll fluorescence dataset from the TROPOMI product. [PDF]

Sci Data
Chen S, Liu L, Sui L, Liu X, Ma Y.
europepmc   +1 more source

Garden, greenhouse, or climate chamber? Experimental conditions influence whether genetic differences are phenotypically expressed

Plant Biology, EarlyView.
Expression of genetic differences depends on the experimental environment as seen in flowering time differences between ancestors and descendants that emerge in climate chambers but not in greenhouse or garden conditions. Abstract Common‐environment experiments are important to study genetically based phenotypic variation within and among plant ...
P. Karitter, M. March‐Salas, A. Ensslin, R. Rauschkolb, S. Godefroid, H. Poorter, J. F. Scheepens   +6 more
wiley   +1 more source

Effects of Drought Stress on Photosynthesis and Chlorophyll Fluorescence in Blue Honeysuckle. [PDF]

Plants (Basel)
Yan W, Lu Y, Guo L, Liu Y, Li M, Zhang B, Zhang B, Zhang L, Qin D, Huo J.   +9 more
europepmc   +1 more source

Even a slight temperature increase triggers the inhibition of Symbiodiniaceae cell division and promotes cell expulsion in the coral Acropora selago

Phycological Research, EarlyView.
SUMMARY Coral bleaching, characterized by the loss of Symbiodiniaceae symbionts from corals, is promoted both by acute high‐temperature events and by prolonged moderate thermal stress. However, the mechanisms responsible for decreases in Symbiodiniaceae cell densities within corals remain unclear. Symbiodiniaceae cells within corals proliferate through
Hiroshi Yamashita, Masami Umeki, Go Suzuki, Kazuhiko Koike   +3 more
wiley   +1 more source

Light-induced increase in the steady-state chlorophyll fluorescence in cyanobacteria reflects induction of energy dissipation complementary to orange carotenoid protein-dependent thermal dissipation. [PDF]

Photosynth Res
Ogawa T, Takahashi H, Nishiyama Y, Hihara Y, Sonoike K.   +4 more
europepmc   +1 more source

Robustness of high‐throughput prediction of leaf ecophysiological traits using near infrared spectroscopy and poro‐fluorometry

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre, Romain Boulord, Laurine Chir, Virgilio Freitas, Maxime Ryckewaert, Thomas Laisné, Virginie Bouckenooghe, Maëlle Lis, Llorenç Cabrera‐Bosquet, Agnès Doligez, Thierry Simonneau, Benoît Pallas, Aude Coupel‐Ledru, Vincent Segura   +13 more
wiley   +1 more source

Photosynthesis, Chlorophyll Fluorescence, and Hormone Regulation in Tomato Exposed to Mechanical Wounding. [PDF]

Plants (Basel)
Yan H, Fu K, Li J, Li M, Li S, Dai Z, Jin X.   +6 more
europepmc   +1 more source

SMART: Speedy Measurement of Arabidopsis Rosette Traits

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu, Allison E. Harris, Jiamei Li, Fiona L. Goggin, David G. Mendoza‐Cozatl, Alexander Bucksch   +5 more
wiley   +1 more source

Photosynthesis capacity and chlorophyll fluorescence characteristics of the Isodon rubescens (Hemsley) H. Hara stem. [PDF]

Sci Rep
Zaiyou J, Susu J, Xiaomin T, Genhai HU.
europepmc   +1 more source

PlantCV v4: Image analysis software for high‐throughput plant phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl, Keely E. Brown, Hudanyun Sheng, Parag K. Bhatt, Jorge Gutierrez, Dominik Schneider, Anna L. Casto, Lucia Acosta‐Gamboa, Joe G. Ballenger, Fabio Barbero, Jackson Braley, Autumn M. Brown, Leonardo Chavez, Shannon Cunningham, Malinda Dilhara, Adam M. Dimech, Joseph G. Duenwald, Annika Fischer, Jared M. Gordon, Chloe Hendrikse, Gabriela L. Hernandez, John G. Hodge, Martina Huber, Brandon M. Hurr, Sanaz Jarolmasjed, Karina Medina Jimenez, Samuel Kenney, Grant Konkel, Alexander Kutschera, Sunita Lama, Matthew Lohbihler, Argelia Lorence, Collin Luebbert, Nathaniel Ly, Heather K. Manching, Annarita Marrano, Susan Meerdink, Nicholas M. Miklave, Pavan Mudrageda, Katherine M. Murphy, J. David Peery, Ronald Pierik, Seth Polydore, Caleb Robey, Tess Rogers, Tyler J. Schultz, Eliza Seigel, Dhiraj Srivastava, Stephan Summerer, Josh Sumner, Chong Teng, Adriane E. Thompson, Jose C. Tovar, Tim van Daalen, Mark Watson, John J. Wheeler, Mark C. Wilson, Kaitlyn R. Ying, Alina Zare, Yutai Zhou, Malia A. Gehan, Noah Fahlgren   +61 more
wiley   +1 more source