Conveners
GxExM modeling
- Degbedji Charlemagne Aboua
- Benjamin Dumont
Crop growth models - or process-based models - simulate the dynamic responses of a range of varieties (G) as a function of environmental conditions (E) and management practices (M) and hence are appropriate tools to predict and explain G×E×M interactions (Chapman, 2008 ; Wang et al., 2019). Therefore such models could have practical applications for improving the design and analysis of...
Introduction
Australia is renowned for being a hot, dry and water limited crop production zone. However, parts of the Australian high rainfall zones (HRZ) have a growing season water supply that can in theory support yields greater than reported record yields globally. The physiological basis underpinning higher yields in these regions are relevant to a global audience aiming to raise the...
Plant phenotyping plays a crucial part in the development of new crop genotypes. In recent years, new digital phenotyping technologies have emerged, especially in the context of high throughput field phenotyping (Furbank and Tester, 2011). Many of these methods need expensive equipment or depend on stationary phenotyping platforms (e.g. Kirchgessner et al., 2016). Relatively simple and easy to...
Wheat grain yield is strongly modulated by underlying genotype (G) by environment (E) and management (M) (GxExM) interactions. These interactions are difficult to interpret. Process-based crop modelling has the potential to disentangle the nature of GxExM interactions and assist in developing breeding and management synergies to increase crop performance for target environments. However,...
Introduction
Cropping system models (CSMs) are vital tools in agricultural research, typically designed for plot level assessments but increasingly applied across different scales, aiding in understanding how crops respond to various factors like climate change (Asseng et al., 2013). However, when these models are scaled up, they face challenges due to limited data...
Abstract
Introduction:
This study employs a comprehensive Life Cycle Assessment (LCA) to examine the impact of breeding on yield, greenhouse gas emissions, and carbon footprint trends for five cereal crops (winter wheat, rye, winter barley, spring barley, and winter triticale) over a 39-year period.
Materials and Methods:
We utilized data from Variety for Cultivation and Use (VCU) trials,...
