Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Flowering time is an important target for breeders in developing new varieties adapted to changing conditions. In this work, a new approach is proposed in which the SNP markers influencing time to flowering in mung bean are selected as important features in a random forest model. The genotypic and weather data are encoded in artificial image objects, and a model for flowering time prediction is constructed as a convolutional neural network. The model uses weather data for only a limited time period of 5 days before and 20 days after planting and is capable of predicting the time to flowering with high accuracy. The most important factors for model solution were identified using saliency maps and a Score-CAM method. Our approach can help breeding programs harness genotypic and phenotypic diversity to more effectively produce varieties with a desired flowering time.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738219 | PMC |
| http://dx.doi.org/10.3390/plants11233327 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Fine mapping of the dominant female sterility gene and novel model of hybrid seed production in cabbage (Brassica oleracea L. var. capitata).
Theor Appl Genet
September 2025
State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hybrid breeding based on male sterility requires the removal of male parents, which is time- and labor-intensive; however, the use of female sterile male parent can solve this problem. In the offspring of distant hybridization between Brassica oleracea and Brassica napus, we obtained a mutant, 5GH12-279, which not only fails to generate gynoecium (thereby causing female sterility) but also has serrated leaves that could be used as a phenotypic marker in seedling screening. Genetic analysis revealed that this trait was controlled by a single dominant gene.
View Article and Find Full Text PDFPollinators: Honey bees shift tolerance to attacks with seasonal decline in flower availability.
Curr Biol
September 2025
Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA. Electronic address:
A new study shows that, as floral resources decline over the season, honey bees gradually increase their tolerance to attacks when foraging, a shift that may enable them to exploit other colonies' honey stores during robbing season.
View Article and Find Full Text PDFRagweed (Ambrosia artemisiifolia) is the most important seasonal allergen in the Black Sea Region.
Allergol Immunopathol (Madr)
September 2025
Department of Clinic of Chest Diseases, Samsun Education and Research Hospital, Samsun, Turkey.
Background: Allergic rhinitis and allergic asthma are respiratory tract diseases predominantly triggered by allergens such as pollens, house dust mite, mold etc. The prevalence of respiratory allergens varies according to geographic location. Ragweed (), a prevalent weed particularly in South America and Europe, is being investigated for its sensitization frequency in the Black Sea region of our country.
View Article and Find Full Text PDFBimorph Soft Actuators Based on Isostructural Heterogeneous Janus Films.
ACS Nano
September 2025
State Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
Bimorph soft actuators, traditionally composed of two materials with distinct responses to external stimuli, often face durability challenges due to structural incompatibility. Here, we propose an alternative design employing free-standing, isostructural heterogeneous Janus (IHJ) films that harmonize stability with high actuation efficiency. These IHJ films were fabricated through a vacuum self-assembly process, consisting of TiCT MXene nanosheets and hybrid graphene oxide (GO)-biomass bacterial cellulose (BC), with a well-matched two-dimensional lattice structure.
View Article and Find Full Text PDFWound Healing Properties of Nymphaea alba (Nymphaeaceae) Flower Extract: Evidence from In Vivo, In Vitro, and In Silico Network Analysis.
Curr Comput Aided Drug Des
September 2025
Noida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, U.P, 201306, India.
Introduction: The white water lily (Nymphaea alba) is a traditional medicinal plant recognized for its diverse array of bioactive properties. However, its potential in wound healing remains largely unexplored. This study aimed to evaluate the phytochemical profile, cytotoxicity, and wound healing efficacy of Nymphaea alba flower extract (NAFE) using both in vitro and in vivo models, as well as computational network analysis.
View Article and Find Full Text PDF