Predicting Genotype× Environment× Management (G× E× M) interactions for the design of crop improvement strategies: integrating breeder, agronomist, and farmer …
Summary Genotype‐by‐environment‐by‐management (G× E× M) interactions for crop
productivity represent both challenges and opportunities for long‐term crop improvement …
productivity represent both challenges and opportunities for long‐term crop improvement …
Tackling G× E× M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to …
Key message Climate change and Genotype-by-Environment-by-Management interactions
together challenge our strategies for crop improvement. Research to advance prediction …
together challenge our strategies for crop improvement. Research to advance prediction …
Characterizing the crop environment–nature, significance and applications
K Chenu - Crop physiology, 2015 - Elsevier
While genotype× environment interactions (G× E) impede progress in plant breeding, efforts
have focused more on their statistical analysis than on characterizing crop environments per …
have focused more on their statistical analysis than on characterizing crop environments per …
Can we harness “enviromics” to accelerate crop improvement by integrating breeding and agronomy?
M Cooper, CD Messina - Frontiers in Plant Science, 2021 - frontiersin.org
The diverse consequences of genotype-by-environment (GxE) interactions determine trait
phenotypes across levels of biological organization for crops, challenging our ambition to …
phenotypes across levels of biological organization for crops, challenging our ambition to …
Meeting global food needs: realizing the potential via genetics× environment× management interactions
JL Hatfield, CL Walthall - Agronomy Journal, 2015 - Wiley Online Library
Global food needs are projected to double by 2050 to feed the 9 billion people and the
challenge presented to agriculture is whether this is feasible. These goals will be faced with …
challenge presented to agriculture is whether this is feasible. These goals will be faced with …
Genomic prediction and association mapping of maize grain yield in multi-environment trials based on reaction norm models
Genotype-by-environment interaction (GEI) is among the greatest challenges for maize
breeding programs. Strong GEI limits both the prediction of genotype performance across …
breeding programs. Strong GEI limits both the prediction of genotype performance across …
Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction …
A successful strategy for prediction of crop yield that accounts for the effects of genotype,
environment and their interactions with management will create many opportunities for …
environment and their interactions with management will create many opportunities for …
Optimizing genomic-enabled prediction in small-scale maize hybrid breeding programs: a roadmap review
R Fritsche-Neto, G Galli, KLR Borges… - Frontiers in Plant …, 2021 - frontiersin.org
The usefulness of genomic prediction (GP) for many animal and plant breeding programs
has been highlighted for many studies in the last 20 years. In maize breeding programs …
has been highlighted for many studies in the last 20 years. In maize breeding programs …
Use of crop growth models with whole‐genome prediction: application to a maize multienvironment trial
High throughput genotyping, phenotyping, and envirotyping applied within plant breeding
multienvironment trials (METs) provide the data foundations for selection and tackling …
multienvironment trials (METs) provide the data foundations for selection and tackling …
Predictive breeding for maize: Making use of molecular phenotypes, machine learning, and physiological crop models
Maize (Zea mays L.) has been a focus of scientific research and breeding for over a century.
It is also one of the most economically important crops in the world, with a value of …
It is also one of the most economically important crops in the world, with a value of …