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Environment characterization as an aid to wheat improvement: interpreting genotype–environment interactions by modelling water-deficit patterns in North-Eastern Australia

https://doi.org/10.1093/jxb/erq459
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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An Integrated Systems Approach to Crop Improvement
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PAPER PRESENTED AT INTERNATIONAL WORKSHOP ON INCREASING WHEAT YIELD POTENTIAL, CIMMYT, OBREGON, MEXICO, 20–24 MARCH 2006 Structural equation modelling for studying genotype×environment interactions of physiological traits affecting yield in wheat
inferredcites →https://doi.org/10.1017/s0021859607006855openalex-snapshot
PAPER PRESENTED AT INTERNATIONAL WORKSHOP ON INCREASING WHEAT YIELD POTENTIAL, CIMMYT, OBREGON, MEXICO, 20–24 MARCH 2006 Use of spatial analyses for global characterization of wheat-based production systems
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inferredcites →https://doi.org/10.2135/cropsci2002.0739openalex-snapshot
Selection for Reduced Carbon Isotope Discrimination Increases Aerial Biomass and Grain Yield of Rainfed Bread Wheat
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An alternative approach to whole-farm deficit irrigation analysis: Evaluating the risk-efficiency of wheat irrigation strategies in sub-tropical Australia
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Adaptation of paddy rice in China to climate change: The effects of shifting sowing date on yield and irrigation water requirement
inferred← citeshttps://doi.org/10.1016/j.compag.2025.110383openalex-snapshot
In-silico optimization of peanut production in India through envirotyping and ideotyping
inferred← citeshttps://doi.org/10.1016/j.crm.2021.100300openalex-snapshot
Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate
inferred← citeshttps://doi.org/10.1016/j.eja.2012.04.004openalex-snapshot
Avenues to meet food security. The role of agronomy on solving complexity in food production and resource use
inferred← citeshttps://doi.org/10.1016/j.eja.2016.03.009openalex-snapshot
Commercially available wheat cultivars are broadly adapted to location and time of sowing in Australia’s grain zone
inferred← citeshttps://doi.org/10.1016/j.eja.2016.09.001openalex-snapshot
A model-based approach to assist variety evaluation in sunflower crop
inferred← citeshttps://doi.org/10.1016/j.eja.2019.125988openalex-snapshot
Yield gap analysis simulated for sugar beet-growing areas in water-limited environments
inferred← citeshttps://doi.org/10.1016/j.eja.2020.126131openalex-snapshot
Phenotypic variability in Italian rice germplasm
inferred← citeshttps://doi.org/10.1016/j.eja.2021.126421openalex-snapshot
Towards a global characterization of winter wheat cultivars behavior in response to stressful environments during grain-filling
inferred← citeshttps://doi.org/10.1016/j.eja.2021.126439openalex-snapshot
Combining multi-environmental trials and crop simulation to understand soybean response to early sowings under contrasting water conditions
inferred← citeshttps://doi.org/10.1016/j.eja.2023.126772openalex-snapshot
Understanding wheat growth and the seasonal climatic characteristics of major drought patterns occurring in cold dryland environments from Iran
inferred← citeshttps://doi.org/10.1016/j.eja.2023.126823openalex-snapshot
Combining a Multi-Environment Trial and a Diagnosis Method to Assess Potential Yield and Main Limiting Factors of Three Highly Different Pea Types
inferred← citeshttps://doi.org/10.1016/j.eja.2023.126923openalex-snapshot
Estimating grain and biomass yield of bread wheat genotypes by optical sensors
inferred← citeshttps://doi.org/10.1016/j.eja.2023.127030openalex-snapshot
Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?
inferred← citeshttps://doi.org/10.1016/j.envexpbot.2012.04.016openalex-snapshot
Differential sensitivities of transpiration to evaporative demand and soil water deficit among wheat elite cultivars indicate different strategies for drought tolerance
inferred← citeshttps://doi.org/10.1016/j.envexpbot.2025.106113openalex-snapshot
Plant plasticity in the face of climate change – CO2 offsetting effects to warming and water deficit in wheat. A review
inferred← citeshttps://doi.org/10.1016/j.envsoft.2013.02.009openalex-snapshot
Using systems modelling to explore the potential for root exudates to increase phosphorus use efficiency in cereal crops
inferred← citeshttps://doi.org/10.1016/j.envsoft.2014.03.009openalex-snapshot
The challenges – and some solutions – to process-based modelling of grazed agricultural systems
inferred← citeshttps://doi.org/10.1016/j.envsoft.2014.07.009openalex-snapshot
APSIM – Evolution towards a new generation of agricultural systems simulation
inferred← citeshttps://doi.org/10.1016/j.envsoft.2016.02.015openalex-snapshot
Assessing and modeling economic and environmental impact of wheat nitrogen management in Belgium
inferred← citeshttps://doi.org/10.1016/j.envsoft.2018.02.002openalex-snapshot
APSIM Next Generation: Overcoming challenges in modernising a farming systems model
inferred← citeshttps://doi.org/10.1016/j.fcr.2012.10.020openalex-snapshot
Drought stress characterization of post-rainy season (rabi) sorghum in India
inferred← citeshttps://doi.org/10.1016/j.fcr.2013.01.018openalex-snapshot
Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production
inferred← citeshttps://doi.org/10.1016/j.fcr.2013.05.023openalex-snapshot
Screening field pea for adaptation to water and heat stress: Associations between yield, crop growth rate and seed abortion
inferred← citeshttps://doi.org/10.1016/j.fcr.2013.12.001openalex-snapshot
Quantifying potential yield and lodging-related yield gaps for irrigated spring wheat in sub-tropical Australia
inferred← citeshttps://doi.org/10.1016/j.fcr.2014.04.012openalex-snapshot
The effects of cross-tolerance to oxidative stress and drought stress on rice dry matter production under aerobic conditions
inferred← citeshttps://doi.org/10.1016/j.fcr.2014.08.003openalex-snapshot
The critical period for yield determination in chickpea (Cicer arietinum L.)
inferred← citeshttps://doi.org/10.1016/j.fcr.2015.07.002openalex-snapshot
Pyramiding greater early vigour and integrated transpiration efficiency in bread wheat; trade-offs and benefits
inferred← citeshttps://doi.org/10.1016/j.fcr.2016.04.034openalex-snapshot
Salt tolerance, date of flowering and rain affect the productivity of wheat and barley on rainfed saline land
inferred← citeshttps://doi.org/10.1016/j.fcr.2016.10.010openalex-snapshot
Performance of spring wheat lines near-isogenic for the reduced-tillering ‘ tin ’ trait across a wide range of water-stress environment-types
inferred← citeshttps://doi.org/10.1016/j.fcr.2016.10.019openalex-snapshot
Population extremes for assessing trait value and correlated response of genetically complex traits
inferred← citeshttps://doi.org/10.1016/j.fcr.2017.01.008openalex-snapshot
Characterisation of chickpea cropping systems in Australia for major abiotic production constraints
inferred← citeshttps://doi.org/10.1016/j.fcr.2017.09.024openalex-snapshot
Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection
inferred← citeshttps://doi.org/10.1016/j.fcr.2017.11.003openalex-snapshot
QTL for stay-green traits in wheat in well-watered and water-limited environments
inferred← citeshttps://doi.org/10.1016/j.fcr.2017.12.012openalex-snapshot
Application of the APSIM model to exploit G × E × M interactions for maize improvement in Ethiopia
inferred← citeshttps://doi.org/10.1016/j.fcr.2018.03.023openalex-snapshot
Characterization of the main chickpea cropping systems in India using a yield gap analysis approach
inferred← citeshttps://doi.org/10.1016/j.fcr.2018.08.020openalex-snapshot
Varietal improvement options for higher rice productivity in salt affected areas using crop modelling
inferred← citeshttps://doi.org/10.1016/j.fcr.2018.09.004openalex-snapshot
Effect of variable crop duration on grain yield of irrigated spring-wheat when flowering is synchronised
inferred← citeshttps://doi.org/10.1016/j.fcr.2018.11.009openalex-snapshot
Upland rice breeding led to increased drought sensitivity in Brazil
inferred← citeshttps://doi.org/10.1016/j.fcr.2019.06.009openalex-snapshot
Sorghum drought and heat stress patterns across the Argentinean temperate central region
inferred← citeshttps://doi.org/10.1016/j.fcr.2019.107631openalex-snapshot
Targeting management practices for rice yield gains in stress-prone environments of Myanmar
inferred← citeshttps://doi.org/10.1016/j.fcr.2019.107710openalex-snapshot
Spatial patterns of estimated optimal flowering period of wheat across the southwest of Western Australia
inferred← citeshttps://doi.org/10.1016/j.fcr.2021.108160openalex-snapshot
Environmental characterization and yield gap analysis to tackle genotype-by-environment-by-management interactions and map region-specific agronomic and breeding targets in groundnut
inferred← citeshttps://doi.org/10.1016/j.fcr.2021.108181openalex-snapshot
QTL identified for stay-green in a multi-reference nested association mapping population of wheat exhibit context dependent expression and parent-specific alleles
inferred← citeshttps://doi.org/10.1016/j.fcr.2021.108422openalex-snapshot
An APSIM-powered framework for post-rainy sorghum-system design in India
inferred← citeshttps://doi.org/10.1016/j.fcr.2022.108469openalex-snapshot
Spatial and temporal variation in drought types for wheat in Argentina and its association with actual yield and fertilization rate
inferred← citeshttps://doi.org/10.1016/j.fcr.2022.108554openalex-snapshot
How process-based modeling can help plant breeding deal with G x E x M interactions
inferred← citeshttps://doi.org/10.1016/j.fcr.2022.108615openalex-snapshot
Modeling drought stress impacts under current and future climate for peanut in the semiarid pampas region of Argentina
inferred← citeshttps://doi.org/10.1016/j.fcr.2022.108740openalex-snapshot
Late-season nitrogen application increases grain protein concentration and is neutral for yield in wheat. A global meta-analysis
inferred← citeshttps://doi.org/10.1016/j.fcr.2023.108919openalex-snapshot
Balancing pre- and post-anthesis growth to maximise water-limited yield in cereals
inferred← citeshttps://doi.org/10.1016/j.fcr.2023.108922openalex-snapshot
Sorghum producer yield contest: A synthesis-analysis of major management and environmental drivers
inferred← citeshttps://doi.org/10.1016/j.fcr.2023.109113openalex-snapshot
Envirotyping to control genotype x environment interactions for efficient soybean breeding
inferred← citeshttps://doi.org/10.1016/j.fcr.2025.109793openalex-snapshot
Envirotyping to drive spring barley adaptation in Northwestern Europe
inferred← citeshttps://doi.org/10.1016/j.fcr.2025.109940openalex-snapshot
Envirotyping facilitates understanding of genotype × environment interactions and highlights the potential of stay-green traits in wheat
inferred← citeshttps://doi.org/10.1016/j.fcr.2026.110531openalex-snapshot
How important is the intra-regional soil heterogeneity for the design of future stress-avoidant wheat ideotypes? A modeling study in central France
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125394openalex-snapshot
Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models
inferred← citeshttps://doi.org/10.1016/j.jssas.2019.03.002openalex-snapshot
Environmental sustainability and water productivity on conservation tillage of irrigated maize in red brown terrace soil of Bangladesh
inferred← citeshttps://doi.org/10.1016/j.plantsci.2018.06.015openalex-snapshot
What is cost-efficient phenotyping? Optimizing costs for different scenarios
inferred← citeshttps://doi.org/10.1016/j.plantsci.2018.06.018openalex-snapshot
Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
inferred← citeshttps://doi.org/10.1016/j.plantsci.2019.110396openalex-snapshot
Breeder friendly phenotyping
inferred← citeshttps://doi.org/10.1016/j.proenv.2015.07.176openalex-snapshot
Platform Development for Drought Tolerance Evaluation of Wheat in France
inferred← citeshttps://doi.org/10.1016/j.scienta.2016.01.003openalex-snapshot
Numerical and graphical assessment of relationships between traits of the Iranian Coriandrum sativum L. core collection by considering genotype × irrigation interaction
inferred← citeshttps://doi.org/10.1016/j.scienta.2017.04.032openalex-snapshot
The importance of seed reserve on performance and breeding of tamarind seedlings
inferred← citeshttps://doi.org/10.1016/j.stress.2026.101396openalex-snapshot
Saving water for more crop per drop: high-throughput phenotyping reveals plastic regulation of transpiration in wheat under natural evaporative demand
inferred← citeshttps://doi.org/10.1016/j.tplants.2015.12.003openalex-snapshot
The Future of Field Trials in Europe: Establishing a Network Beyond Boundaries
inferred← citeshttps://doi.org/10.1016/j.tplants.2017.02.003openalex-snapshot
Contribution of Crop Models to Adaptation in Wheat
inferred← citeshttps://doi.org/10.1016/j.ygeno.2021.02.007openalex-snapshot
Integrated genomic selection for rapid improvement of crops
inferred← citeshttps://doi.org/10.1017/s0021859616000083openalex-snapshot
Assessing the impact of climate change on crop management in winter wheat – a case study for Eastern Austria
inferred← citeshttps://doi.org/10.1017/s0021859620000817openalex-snapshot
Variation in Australian durum wheat germplasm for productivity traits under irrigated and rainfed conditions: genotype performance for agronomic traits and benchmarking
inferred← citeshttps://doi.org/10.1017/s0021859624000479openalex-snapshot
Least absolute shrinkage and selection operator regression used to select important features when predicting wheat yield from various genotype groups
inferred← citeshttps://doi.org/10.1017/s0021859625100270openalex-snapshot
Identifying key environmental drivers of chickpea yield and water-use efficiency: a statistical modelling approach
inferred← citeshttps://doi.org/10.1023/b:rupp.0000035750.70352.f0openalex-snapshot
Water Flows in Higher Plants: Physiology, Evolution, and System Analysis
inferred← citeshttps://doi.org/10.1038/s41598-019-51715-7openalex-snapshot
High temporal resolution of leaf area data improves empirical estimation of grain yield
inferred← citeshttps://doi.org/10.1051/ocl/2018042openalex-snapshot
Using ideotypes to support selection and recommendation of varieties
inferred← citeshttps://doi.org/10.1071/cp10219openalex-snapshot
The 1BL/1RS translocation decreases grain yield of spring wheat germplasm in low yield environments of north-eastern Australia
inferred← citeshttps://doi.org/10.1071/cp11260openalex-snapshot
Evaluation of a reduced-tillering (tin) gene in wheat lines grown across different production environments
inferred← citeshttps://doi.org/10.1071/cp11303openalex-snapshot
Plant adaptation to climate change—opportunities and priorities in breeding
inferred← citeshttps://doi.org/10.1071/cp11321openalex-snapshot
Water and thermal regimes for field pea in Australia and their implications for breeding
inferred← citeshttps://doi.org/10.1071/cp14007openalex-snapshot
Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction
inferred← citeshttps://doi.org/10.1071/cp14088openalex-snapshot
Crop design for specific adaptation in variable dryland production environments
inferred← citeshttps://doi.org/10.1071/cp14361openalex-snapshot
Assessing the place and role of crop simulation modelling in Australia
inferred← citeshttps://doi.org/10.1071/cp15253openalex-snapshot
Patterns of water stress and temperature for Australian chickpea production
inferred← citeshttps://doi.org/10.1071/cp17112openalex-snapshot
Response of wheat to post-anthesis water stress, and the nature of gene action as revealed by combining ability analysis
inferred← citeshttps://doi.org/10.1071/cp19294openalex-snapshot
Rain, rain, gone away: decreased growing-season rainfall for the dryland cropping region of the south-west of Western Australia
inferred← citeshttps://doi.org/10.1071/cp23177openalex-snapshot
Identification of environment similarities using a crop model to assist the cultivation and breeding of a new crop in a new region
inferred← citeshttps://doi.org/10.1071/cp23320openalex-snapshot
Rain and potential evapotranspiration are the main drivers of yield for wheat and barley in southern Australia: insights from 12 years of National Variety Trials
inferred← citeshttps://doi.org/10.1071/fp12079openalex-snapshot
Phenotyping for drought tolerance in grain crops: when is it useful to breeders?
inferred← citeshttps://doi.org/10.1071/fp12180openalex-snapshot
A multisite managed environment facility for targeted trait and germplasm phenotyping
inferred← citeshttps://doi.org/10.1071/fp13177openalex-snapshot
Plot size matters: interference from intergenotypic competition in plant phenotyping studies
inferred← citeshttps://doi.org/10.1071/fp13355openalex-snapshot
Modelling the effect of plant water use traits on yield and stay-green expression in sorghum
inferred← citeshttps://doi.org/10.1071/fp15115openalex-snapshot
Component traits of plant water use are modulated by vapour pressure deficit in pearl millet (Pennisetum glaucum (L.) R.Br.)
inferred← citeshttps://doi.org/10.1071/fp23010openalex-snapshot
Modelling plants across scales of biological organisation for guiding crop improvement
inferred← citeshttps://doi.org/10.1093/g3journal/jkag222openalex-snapshot
Envirotypes for wheat G × E in Australia: integrating multiple environmental indices to characterize variety trials
inferred← citeshttps://doi.org/10.1093/gigascience/giz009openalex-snapshot
CropSight: a scalable and open-source information management system for distributed plant phenotyping and IoT-based crop management
inferred← citeshttps://doi.org/10.1093/insilicoplants/diaa016openalex-snapshot
Modelling selection response in plant-breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions
inferred← citeshttps://doi.org/10.1093/insilicoplants/diab006openalex-snapshot
Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity
inferred← citeshttps://doi.org/10.1093/insilicoplants/diab007openalex-snapshot
Adapting sorghum sowing date and genotype maturity to seasonal rainfall variation in a temperate region
inferred← citeshttps://doi.org/10.1093/insilicoplants/diab008openalex-snapshot
Evaluation of soybean (Glycine max L.) adaptation to northern European regions under different agro-climatic scenarios
inferred← citeshttps://doi.org/10.1093/insilicoplants/diab017openalex-snapshot
Evolution and application of digital technologies to predict crop type and crop phenology in agriculture
inferred← citeshttps://doi.org/10.1093/insilicoplants/diad013openalex-snapshot
Wheat crop traits conferring high yield potential may also improve yield stability under climate change
inferred← citeshttps://doi.org/10.1093/insilicoplants/diag021openalex-snapshot
Evaluating crop models for future climate scenarios: wheat yield predictions using APSIM and STICS under combined CO2, warming, and water deficit conditions
inferred← citeshttps://doi.org/10.1093/jxb/erab273openalex-snapshot
Plant production in water-limited environments
inferred← citeshttps://doi.org/10.1093/jxb/erac195openalex-snapshot
Genetic basis and adaptive implications of temperature-dependent and temperature-independent effects of drought on chickpea reproductive phenology
inferred← citeshttps://doi.org/10.1093/jxb/ert181openalex-snapshot
Evaluation of reduced-tillering (tin) wheat lines in managed, terminal water deficit environments
inferred← citeshttps://doi.org/10.1093/jxb/eru223openalex-snapshot
Can current crop models be used in the phenotyping era for predicting the genetic variability of yield of plants subjected to drought or high temperature?
inferred← citeshttps://doi.org/10.1093/jxb/erv126openalex-snapshot
Variation and impact of drought-stress patterns across upland rice target population of environments in Brazil
inferred← citeshttps://doi.org/10.1093/jxb/erv163openalex-snapshot
Frost trends and their estimated impact on yield in the Australian wheatbelt
inferred← citeshttps://doi.org/10.1093/jxb/erw093openalex-snapshot
Farming system context drives the value of deep wheat roots in semi-arid environments
inferred← citeshttps://doi.org/10.1093/jxb/erw276openalex-snapshot
Stay-green traits to improve wheat adaptation in well-watered and water-limited environments
inferred← citeshttps://doi.org/10.1093/jxb/erx368openalex-snapshot
Projected impact of future climate on water-stress patterns across the Australian wheatbelt
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