Results 91 to 100 of about 760,293 (222)
Combining phenomic and genomic selection for pea breeding improvement
Abstract Pea (Pisum sativum L.) is a strategic crop in the development of sustainable agriculture. However, the genetic gain remains limited despite advances in breeding. Genomic selection holds promise to accelerate varietal improvement, but its high implementation cost restricts its use in crops.
Anthony Klein +15 more
wiley +1 more source
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi +7 more
wiley +1 more source
A rice phenomics study—Phenotype scoring and seed propagation of a T-DNA insertion-induced rice mutant population. [PDF]
[[abstract]]With the completion of the rice genome sequencing project, the next major challenge is the large-scale determination of gene function. As an important crop and a model organism, rice provides major insights into gene functions important for ...
Chyr-Guan Chern; Ming-Jen Fan; Su-May Yu; Ai-Ling Hour; Po-Chang Lu; Yao-Cheng Lin; Fu-Jin Wei; Sheng-Chung Huang Æ Shu Chen; Ming-Hsing Lai; Ching-Shan Tseng; Hsing-Mu Yen; Woei-Shyuan Jwo; Chen-Chia Wu; Tung-Lung Yang ; Lung-Sheng Li ; Yih-Cheng Kuo ; Su-Mien Li ; Charng-Pei Li; Chiu-Kai Wey; Arunee Trisiriroj; Hsing-Fang Lee ; Yue-Ie C. Hsing +25 more
core +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
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal +8 more
wiley +1 more source
PGP repository: a plant phenomics and genomics data publication infrastructure
Plant genomics and phenomics represents the most promising tools for accelerating yield gains and overcoming emerging crop productivity bottlenecks. However, accessing this wealth of plant diversity requires the characterization of this material using ...
Wylie, Juliane +5 more
core +1 more source
High‐throughput image‐based phenotyping of soybean hilum color
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 +2 more
wiley +1 more source
IntroductionPlant parasitism by sedentary plant-parasitic nematodes is a dynamic and continuously evolving process, accompanied by profound remodelling of host root system architecture across distinct infection stages.
Jie Zhou +6 more
doaj +1 more source
Crop and Weather Report Nov. 9 [PDF]
Crop and weather report guests include Iowa State University Extension climatologist Elwynn Taylor, integrated pest management specialist Rich Pope, and economist Chad Hart.
Integrated Crop Management News
core
Experiential Learning Styles and Neurocognitive Phenomics
Phenomics is concerned with detailed description of all aspects of organisms, from their physical foundations at genetic, molecular and cellular level, to behavioural and psychological traits.
Wlodzislaw Duch
core +1 more source

