Computational Models
Is there a yield cost for limiting water loss during the hot hours of the day in wheat?
Evaluating how limited transpiration at high evaporative demand affect grain yield across Australia using computer models.
Computational Models
Modelling the potential of soybean cropping in Northern European regions
Soybean is not commonly grown in Northern Europe, but can it be, and how?
Computational Models
The comparative adaptation to water-limitation of sorghum and maize
A new study unravels why maize has higher yields and sorghum is more drought tolerant using a cropping systems modeling platform.
Computational Models
Reducing sorghum water stress during drought
A new study uses drought patterns, sowing date, and genotype phenology to reduce sorghum water stress during critical stages.
Cells, Genes & Molecules
Transforming crop simulation models into gene-based models
Dynamic crop simulation models can be transformed into gene-based models by replacing an existing process module with a gene-based module for simulating the same process.
Computational Models
Why are leaves always flat?
A new model uncovers the possible mechanisms underlying the robustness of flat leaf production.
Computational Models
Computer models using remote sensing data accurately predict crop yield
Combing new tools for the rapid advancement of genetic gain in sorghum breeding programs.
Computational Models
How much nitrogen does rice need to produce high yields?
Researchers use 3D modelling of rice canopies to determine how nitrogen availability affects photosynthetic productivity.
Cells, Genes & Molecules
Advancing crop growth models using genotype-specific parameters
Incorporating genotype-specific parameters and realistic trait physiology will advance crop growth models.
Cells, Genes & Molecules
What’s new in soybean transcriptomics?
An update on major microarray and RNA-seq studies, exploration of data integration approaches using gene coexpression network, and outline of important web resources.
Cells, Genes & Molecules
Call for a new paradigm for crop improvement
The use of mechanistic crop models can optimize the efficiency of breeding programs.
Computational Models
Quantification of pasture ground cover and botanical composition for sustainable grazing management
A combination of high resolution multi-spectral imagery and supervised learning effectively distinguishes between pasture species and seasonal changes in botanical composition.