Results 151 to 160 of about 61,518 (261)

Harnessing Bulk‐Segregant Mapping to Identify Trait‐Associated Genes in the Allopolyploid Model Plant Nicotiana benthamiana

Plant Biotechnology Journal, EarlyView.
ABSTRACT Forward genetics has been instrumental in identifying genes underlying desirable traits, yet its application to polyploid plants, many of which are key agricultural crops, remains challenging due to their genomic complexity. Therefore, we developed BenthMap, a bulk segregant analysis platform for high‐throughput trait mapping and gene ...
Zuba Ahmed, Jiyuan An, Satomi Hayashi, Julia Bally, Chris Winefield, Peter M. Waterhouse   +5 more
wiley   +1 more source

Insecticide resistance in larval populations of Aedes aegypti and Aedes albopictus from Panama. [PDF]

Trop Med Health
Carrera LC, Martínez D, Piedra L, Bruno A, Castillo AM, Torres-Cosme R.   +5 more
europepmc   +1 more source

Exogenous IAA application alleviated altered physiological and biochemical processes through promoting H‐ATPase and Fe chelate reductase activities in common bean (Phaseolus vulgaris L.) subjected to iron deficiency

Plant Biology, EarlyView.
Exogenous IAA supply enhances the strategy I response in common bean under iron deficiency. Abstract Iron deficiency is a common nutritional disorder observed in calcareous soils, where its resolution by classical methods has shown its failure. However, the exploitation of certain potentialities possessed by crops (rhizosphere acidification, H‐ATPase ...
K. Nsiri, M. Hmissi, N. Baccari, K. Bouzidi, M. J. G. del Rosal, A. Krouma   +5 more
wiley   +1 more source

HRL-Det: Hierarchical Reinforcement Learning for Sequential Object Detection in Aerial Imagery. [PDF]

Sensors (Basel)
Li M, Hu Y.
europepmc   +1 more source

Personalized Model‐Driven Interventions for Decisions From Experience

Topics in Cognitive Science, EarlyView.
Abstract Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance‐based learning ...
Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Palvi Aggarwal, Sterling Somers, Konstantinos Mitsopoulos, Milind Tambe   +6 more
wiley   +1 more source

Q-GrAM: Fine-Grained Image-Text Retrieval via Grouped Query Routing and Conditional Query Modulation. [PDF]

Sensors (Basel)
Gu G, Li H, Qin H.
europepmc   +1 more source

Análisis de la producción de derivados del coco con perspectiva de exportación en la ciudad de Esmeraldas

, 2017
Tesis previa obtención del título de Ingeniero/a en Comercio ExteriorEl presente estudio de caso sobre el Análisis de la Producción de Derivados del coco con Perspectiva de Exportación en la Ciudad de Esmeraldas surge de la falta de explotación de este ...
Tenorio Chila, Joselyn Romina
core  

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos, João R. Vieira Manechini, Carlos Augusto Dias Kanthack Jr., Mauro Alexandre Xavier, Samira Domingues Carlin, Dilermando Perecin, Thiago G. Marconi, Leandro G. Marconi, Elisson Antonio da Costa Romanel, Stephen Derek Jackson, Marcos. G. A. Landell, Luciana R. Pinto   +11 more
wiley   +1 more source

Training-FreeDetector-to-Promptable-Segmenter Integration for Stacked Cartons: Prompt Accuracy-Efficiency Trade-Offs. [PDF]

Sensors (Basel)
Yu L, Gao Q, Yang S, Qiu H, Meng X.
europepmc   +1 more source

High‐throughput image‐based phenotyping of soybean hilum color

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Hilum color in soybean (Glycine max [L.] Merr.) is an important morphological trait influencing market classification and seed quality traits, yet its phenotyping is largely subjective, relying on visual inspection and assignment to one of eight color classes. This study developed an image‐based high‐throughput pipeline to measure and classify
Katherine Fortune, Ali Heidari, Milad Eskandari   +2 more
wiley   +1 more source