Role of the genomics–phenomics–agronomy paradigm in plant breeding

CJ Chen, J Rutkoski, JC Schnable… - Plant Breeding …, 2022 - Wiley Online Library
Plant breeding primarily focuses on improving agronomy traits, eg yield, quality, host plant
resistance to pathogens and pests, and abiotic stress tolerance; however, the methods for …

Maize production under drought stress: nutrient supply, yield prediction

A Széles, É Horváth, K Simon, P Zagyi, L Huzsvai - Plants, 2023 - mdpi.com
Maize yield forecasting is important for the organisation of harvesting and storage, for the
estimation of the commodity base and for the provision of the country's feed and food …

Prediction of maize phenotypic traits with genomic and environmental predictors using gradient boosting frameworks

CC Westhues, GS Mahone, S da Silva… - Frontiers in plant …, 2021 - frontiersin.org
The development of crop varieties with stable performance in future environmental
conditions represents a critical challenge in the context of climate change. Environmental …

[HTML][HTML] Quantifying the effects of drought using the crop moisture stress as an indicator of maize and sunflower yield reduction in Serbia

G Mimić, B Živaljević, D Blagojević, B Pejak, S Brdar - Atmosphere, 2022 - mdpi.com
The drought in Serbia in the summer of 2017 heavily affected agricultural production,
decreasing yields of maize, sunflower, soybean, and sugar beet. Monitoring moisture levels …

Maize hybrids performance evaluation with Data Fusion by Matrix Factorization algorithm

M Brkić, S Hačko, M Radovanović… - Applied Artificial …, 2024 - Taylor & Francis
Crop breeders often face challenges due to limited data availability when making crucial
decisions, such as selecting top-performing varieties/hybrids for further experiments …

A fault diagnosis method for wireless sensor network nodes based on a belief rule base with adaptive attribute weights

KX Shi, SM Li, GW Sun, ZC Feng, W He - Scientific Reports, 2024 - nature.com
Due to the harsh operating environment and ultralong operating hours of wireless sensor
networks (WSNs), node failures are inevitable. Ensuring the reliability of the data collected …

Predictive Modelling Insights with Interpretable NARX-LIME for Geomagnetic Disturbance-Storm-Time Index

ADN Mazlan, MA Hairuddin, ND KA… - 2024 IEEE 14th …, 2024 - ieeexplore.ieee.org
Machine learning has attracted significant attention for predicting an upcoming geomagnetic
storm disturbance using the disturbance storm time (Dst) index. However, studies on …

[CITATION][C] Harnessing agronomics through genomics and phenomics in plant breeding: A review

[PDF][PDF] НАСТАВНО-НАУЧНОМ ВЕЋУ ПРИРОДНО-МАТЕМАТИЧКОГ ФАКУЛТЕТА

IБП КАНДИДАТА - Facta Universitatis (Ниш), 2001 - kg.ac.rs
На седници Наставно-научног већа Природно-математичког факултета у Крагујевцу
одржаној 22.10. 2009. године, одлуком број 610/VII-2 oдређени смо у Комисију за …

[CITATION][C] Push-pull strategy and its influence on Spodoptera frugiperda dynamics and maize crops yields in the municipality of Yautepec, Morelos, Mexico

OGM Guera - 2022 - INSTITUTO POLITÉCNICO …