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Velocity of temperature and flowering time in wheat - assisting breeders to keep pace with climate change.
- Published in:
- Global Change Biology, 2016, v. 22, n. 2, p. 921, doi. 10.1111/gcb.13118
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- Article
The shifting influence of drought and heat stress for crops in northeast Australia.
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- Global Change Biology, 2015, v. 21, n. 11, p. 4115, doi. 10.1111/gcb.13022
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- Article
Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for Australian bread wheat ( Triticum aestivium) varieties?
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- Global Change Biology, 2012, v. 18, n. 9, p. 2899, doi. 10.1111/j.1365-2486.2012.02724.x
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- Article
Using a gene-based phenology model to identify optimal flowering periods of spring wheat in irrigated mega-environments.
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- Journal of Experimental Botany, 2021, v. 72, n. 20, p. 7203, doi. 10.1093/jxb/erab326
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- Article
Improving process-based crop models to better capture genotype×environment×management interactions.
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- Journal of Experimental Botany, 2019, v. 70, n. 9, p. 2389, doi. 10.1093/jxb/erz092
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- Article
Modelling impact of early vigour on wheat yield in dryland regions.
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- Journal of Experimental Botany, 2019, v. 70, n. 9, p. 2535, doi. 10.1093/jxb/erz069
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- Article
Frost trends and their estimated impact on yield in the Australian wheatbelt.
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- Journal of Experimental Botany, 2015, v. 66, n. 12, p. 3611, doi. 10.1093/jxb/erv163
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- Article
Predictions of heading date in bread wheat (Triticum aestivum L.) using QTL-based parameters of an ecophysiological model.
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- Journal of Experimental Botany, 2014, v. 65, n. 20, p. 5849, doi. 10.1093/jxb/eru328
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- Article
Developmental and growth controls of tillering and water-soluble carbohydrate accumulation in contrasting wheat (Triticum aestivum L.) genotypes: can we dissect them?
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- Journal of Experimental Botany, 2013, v. 64, n. 1, p. 143, doi. 10.1093/jxb/ers317
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- Article
Raising yield potential of wheat. I. Overview of a consortium approach and breeding strategies.
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- Journal of Experimental Botany, 2011, v. 62, n. 2, p. 439, doi. 10.1093/jxb/erq311
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- Article
Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops.
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- Journal of Experimental Botany, 2010, v. 61, n. 8, p. 2185, doi. 10.1093/jxb/erq095
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- Article
Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek).
- Published in:
- Crop & Pasture Science, 2024, v. 75, n. 1, p. A, doi. 10.1071/CP22335
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- Article
Plant adaptation to climate change--opportunities and priorities in breeding.
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- Crop & Pasture Science, 2012, v. 63, n. 3, p. 251, doi. 10.1071/CP11303
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- Article
Film: To a black hole and back again.
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- 2010
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- Arts/Entertainment Review
Simulating the Yield Impacts of Organ-Level Quantitative Trail Loci Associated With Drought Response in Maize: A "Gene-to-Phenotype" Modeling Approach.
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- Genetics, 2009, v. 183, n. 4, p. 1507, doi. 10.1534/genetics.109.105429
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- Article
Evaluation of the Phenotypic Repeatability of Canopy Temperature in Wheat Using Continuous-Terrestrial and Airborne Measurements.
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- Frontiers in Plant Science, 2019, p. 1, doi. 10.3389/fpls.2019.00875
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- Article
Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning.
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- Journal of Experimental Botany, 2022, v. 73, n. 19, p. 6558, doi. 10.1093/jxb/erac291
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- Article
Phenological optimization of late reproductive phase for raising wheat yield potential in irrigated mega-environments.
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- Journal of Experimental Botany, 2022, v. 73, n. 12, p. 4236, doi. 10.1093/jxb/erac144
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- Article
Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location.
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- Plant Methods, 2024, v. 20, n. 1, p. 1, doi. 10.1186/s13007-024-01236-w
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- Article
A high dust emissivity index β for a CO-faint galaxy in a filamentary Lyα nebula at z = 3.1.
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- Publications of the Astronomical Society of Japan, 2018, v. 70, n. 5, p. N.PAG, doi. 10.1093/pasj/psy087
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- Article
Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments.
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- GCB Bioenergy, 2022, v. 14, n. 3, p. 411, doi. 10.1111/gcbb.12919
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- Article
An analysis of simulated yield data for pepper shows how genotype × environment interaction in yield can be understood in terms of yield components and their QTLs.
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- Crop Science, 2021, v. 61, n. 3, p. 1826, doi. 10.1002/csc2.20476
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- Article
Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climates.
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- Crop Science, 2020, v. 60, n. 2, p. 678, doi. 10.1002/csc2.20113
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- Article
Genotypic Differences in Effects of Short Episodes of High-Temperature Stress during Reproductive Development in Sorghum.
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- Crop Science, 2016, v. 56, n. 4, p. 1561, doi. 10.2135/cropsci2015.09.0545
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- Article
Mega-Environment Differences Affecting Genetic Progress for Yield and Relative Value of Component Traits.
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- Crop Science, 2010, v. 50, n. 2, p. 574, doi. 10.2135/cropsci2009.04.0209
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- Article
Application of Population Genetic Theory and Simulation Models to Efficiently Pyramid Multiple Genes via Marker-Assisted Selection.
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- Crop Science, 2007, v. 47, n. 2, p. 582, doi. 10.2135/cropsci2006.05.0341
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- Article
Multivariate Analyses to Display Interactions between Environment and General or Specific Combining Ability in Hybrid Crops.
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- Crop Science, 2006, v. 46, n. 2, p. 957, doi. 10.2135/cropsci2005.08-0287
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- Publication type:
- Article
Global Adaptation of Spring Bread and Durum Wheat Lines Near-Isogenic for Major Reduced Height Genes.
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- Crop Science, 2006, v. 46, n. 2, p. 603, doi. 10.2135/cropsci2005.05-0056
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- Article
Defining Sunflower Selection Strategies for a Highly Heterogeneous Target Population of Environments.
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- Crop Science, 2006, v. 46, n. 1, p. 136, doi. 10.2135/cropsci2005.0170
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- Article
The remnants of galaxy formation from a panoramic survey of the region around M31.
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- Nature, 2009, v. 461, n. 7260, p. 66, doi. 10.1038/nature08327
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- Article
Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes.
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- Remote Sensing, 2021, v. 13, n. 14, p. 2827, doi. 10.3390/rs13142827
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- Article
Scaling up high-throughput phenotyping for abiotic stress selection in the field.
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- Theoretical & Applied Genetics, 2021, v. 134, n. 6, p. 1845, doi. 10.1007/s00122-021-03864-5
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- Article
Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects.
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- Theoretical & Applied Genetics, 2010, v. 121, n. 6, p. 1001, doi. 10.1007/s00122-010-1351-4
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- Article
Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions.
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- Theoretical & Applied Genetics, 2010, v. 120, n. 3, p. 527, doi. 10.1007/s00122-009-1173-4
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- Article
Simultaneous selection of major and minor genes: use of QTL to increase selection efficiency of coleoptile length of wheat ( Triticum aestivum L.).
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- Theoretical & Applied Genetics, 2009, v. 119, n. 1, p. 65, doi. 10.1007/s00122-009-1017-2
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- Article
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops.
- Published in:
- Functional Plant Biology, 2021, v. 48, n. 8, p. 766, doi. 10.1071/FP20309
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- Article
Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV.
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- Functional Plant Biology, 2017, v. 44, n. 1, p. 169, doi. 10.1071/FP16123
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- Article
Do wheat breeders have suitable genetic variation to overcome short coleoptiles and poor establishment in the warmer soils of future climates?
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- Functional Plant Biology, 2016, v. 43, n. 10, p. 961, doi. 10.1071/FP15362
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- Article
Genetic variability in high temperature effects on seed-set in sorghum.
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- Functional Plant Biology, 2013, v. 40, n. 5, p. 439, doi. 10.1071/FP12264
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- Article
Genotypic variability in the response to elevated CO <sub>2</sub> of wheat lines differing in adaptive traits.
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- Functional Plant Biology, 2013, v. 40, n. 2, p. 8, doi. 10.1071/FP12193
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- Publication type:
- Article
VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation.
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- Scientific Data, 2023, v. 10, n. 1, p. 1, doi. 10.1038/s41597-023-02098-y
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- Publication type:
- Article
Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines.
- Published in:
- Frontiers in Plant Science, 2017, p. 1, doi. 10.3389/fpls.2017.01532
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- Article
On the dynamic determinants of reproductive failure under drought in maize.
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- In Silico Plants, 2019, v. 1, n. 1, p. 1, doi. 10.1093/insilicoplants/diz003
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- Article
Aerial Imagery Analysis – Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy.
- Published in:
- Frontiers in Plant Science, 2018, p. N.PAG, doi. 10.3389/fpls.2018.01544
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- Publication type:
- Article
Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize.
- Published in:
- Plant, Cell & Environment, 2008, v. 31, n. 3, p. 378, doi. 10.1111/j.1365-3040.2007.01772.x
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- Article
Using a Chlorophyll Meter to Estimate Specific Leaf Nitrogen of Tropical Maize during Vegetative Growth.
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- Agronomy Journal, 1997, v. 89, n. 4, p. 557, doi. 10.2134/agronj1997.00021962008900040004x
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- Article
A Sunflower Simulation Model: II. Simulating Production Risks in a Variable Sub‐Tropical Environment.
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- Agronomy Journal, 1993, v. 85, n. 3, p. 735, doi. 10.2134/agronj1993.00021962008500030039x
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- Article
A Sunflower Simulation Model: I. Model Development.
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- Agronomy Journal, 1993, v. 85, n. 3, p. 725, doi. 10.2134/agronj1993.00021962008500030038x
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- Article
SensorDB: a virtual laboratory for the integration, visualization and analysis of varied biological sensor data.
- Published in:
- Plant Methods, 2015, v. 11, p. 1, doi. 10.1186/s13007-015-0097-z
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- Publication type:
- Article
A vast, thin plane of corotating dwarf galaxies orbiting the Andromeda galaxy.
- Published in:
- Nature, 2013, v. 493, n. 7430, p. 62, doi. 10.1038/nature11717
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- Article