Results 201 to 210 of about 2,573,159 (285)

Productivity, Stability, and Adaptability of Onion Genotypes Using Additive Main Effects and Multiplicative Interaction and Mixed‐Model Analysis

New Zealand Journal of Crop and Horticultural Science, Volume 54, Issue 4, December 2026.
Onion (Allium cepa L.) is a vegetable crop of both nutritional and medicinal importance. Bulb development is strongly dependent on the interaction between photoperiod and temperature, which drives the adaptation of genotypes to specific growing conditions.
Edson Perez Guerra, Jorge Andres Betancur Gonzalez, Patrik Marques, Juliano Galina, André Junior Ribeiro, André Dutra Silva Junior, Maria Rita Gomes da Silva, Juliano Tadeu Vilela de Resende, André Ricardo Zeist   +8 more
wiley   +1 more source

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

Effects of different crop intercropping on quality and rhizosphere soil microbial community of <i>Erigeron breviscapus</i>. [PDF]

Front Microbiol
Wang T, Chen S, Zhang Z, Guan D, Feng J, He P, Mo J, Yang R.   +7 more
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

<i>Pseudarthrobacter oxydans</i> RH60-mediated rhizobacterial interactions bidirectionally regulate cucumber root-knot disease. [PDF]

Front Microbiol
Yu P, Yu Y, Li H, Li Y, Guo X, Zhao M, Wei P, Wang G.   +7 more
europepmc   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source

Effects of AMF on tobacco growth in continuous cropping soils: impacts on soil chemical properties and rhizosphere microbial diversity. [PDF]

Front Plant Sci
Wang J, Li J, Fan X, Niu X, Deng X, Nian F, Wang H, Han N, Yang S, Dong J, Tang L, Shi Q, Liu Y, Liu D.   +13 more
europepmc   +1 more source

Scaling up soybean breeding: Satellite imagery delivers accurate maturity estimation across plot sizes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate and scalable phenotyping is essential for accelerating genetic gain in soybean (Glycine max (L.) Merr.) breeding programs. Traditional methods for estimating physiological maturity are labor‐intensive and prone to subjectivity, limiting throughput and consistency. This study evaluates the potential of high‐resolution satellite imagery
Anastasios Mazis, Sarah Anderson, Guilherme Simiqueli, Adam Barbeau, Sara Tirado Tolosa, Julien Linares, Nathan Coles   +6 more
wiley   +1 more source

Soil-borne diseases in medicinal plants: linking allelopathy and host immunity to microbiome-based interventions. [PDF]

Front Plant Sci
Quan W, Qi Y, Liu Y, Sun X, Wang H, Zeng C, Chen H, Gao S, Xu Y, Zhao Q, Du T.   +10 more
europepmc   +1 more source