Results 171 to 180 of about 1,182 (251)
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 +8 more
wiley +1 more source
Allelopathic Activity of Ginseng-Cultivated Soil: Extracts on Seed Germination and Growth of Five Vegetables in China. [PDF]
Lei J +9 more
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
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 +12 more
wiley +1 more source
Effects of Sphingomonads on sugar beet growth and rhizosphere microbiota under continuous cropping. [PDF]
Gao Y +7 more
europepmc +1 more source
Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
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 +3 more
wiley +1 more source
Chili Pepper-Rice Rotation Alleviates Continuous-Cropping Constraints by Improving Nutrient Availability and Suppressing Pathogens via Rhizosphere Network Rewiring. [PDF]
Li R +11 more
europepmc +1 more source
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 +2 more
wiley +1 more source
Effects of bacillus on continuous cropping of sugar beets and their rhizosphere microbial community. [PDF]
Sun Y +7 more
europepmc +1 more source

