Results 221 to 230 of about 29,735 (293)

Superiority of Organic Calcium Fertilizers over Inorganic Counterparts in Enhancing Fruit Firmness and Quality of Blue Honeysuckle (<i>Lonicera caerulea</i> L.). [PDF]

Foods
Chen Y, Li W, Ji X, She H, Yan P, Xiao Y, Sun H, Huo J.   +7 more
europepmc   +1 more source

Alternative approaches to dryland reclamation enhance vegetation cover and soil stability at a former uranium mine

Restoration Ecology, EarlyView.
Abstract Introduction Conventional reclamation methods to recover dryland ecosystems after mineral extraction often have low success. Alternative reclamation techniques may help overcome the many challenges to establishing persistent native vegetation and stable soils.
Kathryn D. Eckhoff, Rebecca K. Mann, Seth M. Munson, Katherine Walton‐Day, Jo E. Hinck, Michael C. Duniway   +5 more
wiley   +1 more source

Enhancing growth and nutrient uptake of (Zea mays L.) through nano-potassium fertilization: a comparative assessment with conventional K sources. [PDF]

BMC Plant Biol
Alhassan H, Oudeh M, Dehia L, Jaafar AAK.   +3 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

Evaluation of MgO Nanoparticle Foliar Treatment on the Early Stages of Sweet Basil (<i>Ocimum basilicum</i> L.) Vegetation. [PDF]

Plants (Basel)
Zakharov DA, Semenova NA, Stepanova EV, Sarimova SR, Yanykin DV, Shumeyko SA, Paskhin MO, Baimler IV, Gudkov SV, Glinushkin AP.   +9 more
europepmc   +1 more source

Phenotypic scoring of canola blackleg severity using machine learning image analysis

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu, Sarah Anderson, Stuart Gardner, Thomas W. Ernst, Chadwick B. Koscielny, Navratan S. Bahia, Charles G. Johnson Jr, Andrew C. Jarvis, Joseph S. Hynek, Nathan Coles, Igor Falak, David R. Charne, Manuel E. Ruidiaz, Julien Linares, Anastasios Mazis, Daniel J. Stanton   +15 more
wiley   +1 more source

Spatial Optimization of Electrophysiological Signal Acquisition in <i>Clivia</i> Leaves Under a Controlled Leaf-Surface Salt-Treatment Model. [PDF]

Plants (Basel)
Qi J, Yang Y, Wang Y, Wang H, Wang Q, Shi Y, Wang Y, Men H.   +7 more
europepmc   +1 more source

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner, Leonardo M. Bastos, Zenglu Li   +2 more
wiley   +1 more source

Effects of foliar nitrogen application on morphological and physiological characteristics in newly emerged leaves of <i>Bambusa emeiensis</i>. [PDF]

Front Plant Sci
Feng J, Wang D, Wang X, Yu B, Yu L, Fan H, Li L, Zhan H, Wang S, Li L.   +9 more
europepmc   +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