Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding

AW Herr, A Adak, ME Carroll, D Elango, S Kar… - Crop …, 2023 - Wiley Online Library
High‐throughput phenotyping (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

Multi-omics techniques for soybean molecular breeding

P Cao, Y Zhao, F Wu, D Xin, C Liu, X Wu, J Lv… - International Journal of …, 2022 - mdpi.com
Soybean is a major crop that provides essential protein and oil for food and feed. Since its
origin in China over 5000 years ago, soybean has spread throughout the world, becoming …

Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in West Africa

TR Alabi, AT Abebe, G Chigeza… - … Applications: Society and …, 2022 - Elsevier
Abstract Soybean (Glycine max (L.) Merr.) is a leguminous and oil crop with rapidly growing
importance and demand in Africa following the increasing demand for oil and livestock and …

Prediction of strawberry dry biomass from UAV multispectral imagery using multiple machine learning methods

C Zheng, A Abd-Elrahman, V Whitaker, C Dalid - Remote Sensing, 2022 - mdpi.com
Biomass is a key biophysical parameter for precision agriculture and plant breeding. Fast,
accurate and non-destructive monitoring of biomass enables various applications related to …

Optimization of UAV-based imaging and image processing orthomosaic and point cloud approaches for estimating biomass in a forage crop

W Sangjan, RJ McGee, S Sankaran - Remote Sensing, 2022 - mdpi.com
Forage and field peas provide essential nutrients for livestock diets, and high-quality field
peas can influence livestock health and reduce greenhouse gas emissions. Above-ground …

Predicting Genotype× Environment× Management (G× E× M) interactions for the design of crop improvement strategies: integrating breeder, agronomist, and farmer …

M Cooper, CD Messina, T Tang, C Gho… - Plant breeding …, 2022 - Wiley Online Library
Summary Genotype‐by‐environment‐by‐management (G× E× M) interactions for crop
productivity represent both challenges and opportunities for long‐term crop improvement …

High-throughput phenotyping of soybean biomass: Conventional trait estimation and novel latent feature extraction using UAV remote sensing and deep learning …

M Okada, C Barras, Y Toda, K Hamazaki… - Plant …, 2024 - spj.science.org
High-throughput phenotyping serves as a framework to reduce chronological costs and
accelerate breeding cycles. In this study, we developed models to estimate the phenotypes …

Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location

DTL Smith, Q Chen, SR Massey-Reed, AB Potgieter… - Plant Methods, 2024 - Springer
Background This study explores the use of Unmanned Aerial Vehicles (UAVs) for estimating
wheat biomass, focusing on the impact of phenotyping and analytical protocols in the …

[HTML][HTML] Harnessing Multi-Omics Strategies and Bioinformatics Innovations for Advancing Soybean Improvement: A Comprehensive Review

S Haidar, J Hooker, S Lackey, M Elian, N Puchacz… - Plants, 2024 - mdpi.com
Soybean improvement has entered a new era with the advent of multi-omics strategies and
bioinformatics innovations, enabling more precise and efficient breeding practices. This …

Leveraging genomics and temporal high‐throughput phenotyping to enhance association mapping and yield prediction in sesame

I Sabag, Y Bi, MM Sahoo, I Herrmann… - The Plant …, 2024 - Wiley Online Library
Sesame (Sesamum indicum) is an important oilseed crop with rising demand owing to its
nutritional and health benefits. There is an urgent need to develop and integrate new …