212 results on '"Fitzgerald, Glenn J."'
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2. Machine learning produces higher prediction accuracy than the Jarvis-type model of climatic control on stomatal conductance in a dryland wheat agro-ecosystem
3. Elevated CO2 in semi-arid cropping systems: A synthesis of research from the Australian Grains Free Air CO2 Enrichment (AGFACE) research program
4. Storage Temperature and Grain Moisture Effects on Phenolic Compounds as a Driver of Seed Coat Darkening in Red Lentil
5. Water use dynamics of dryland canola ( Brassica napus L.) grown on contrasting soils under elevated CO₂
6. Free air CO₂ enrichment (FACE) improves water use efficiency and moderates drought effect on N₂ fixation of Pisum sativum L.
7. An Explanatory Model of Red Lentil Seed Coat Colour to Manage Degradation in Quality during Storage
8. Unmasking Chickpea Resistance to Ascochyta Blight Using High-Throughput Uav Multispectral and Thermal Remote Sensing
9. Lentil grain quality and segregation opportunities in‐field using remote sensing
10. Yield of canola (Brassica napus L.) benefits more from elevated CO2 when access to deeper soil water is improved
11. Can elevated CO2 buffer the effects of heat waves on wheat in a dryland cropping system?
12. Proximal fluorescence sensing of potassium responsive crops to develop improved predictions of biomass, yield and grain quality of wheat and barley
13. Virus incidence in wheat increases under elevated CO2: A 4-year study of yellow dwarf viruses from a free air carbon dioxide facility
14. The proportion of nitrate in leaf nitrogen, but not changes in root growth, are associated with decreased grain protein in wheat under elevated [CO2]
15. Storage Temperature and Grain Moisture Effects on Market and End Use Properties of Red Lentil
16. Modified Storage Atmosphere Prevents the Degradation of Key Grain Quality Traits in Lentil
17. Trade-offs between water-use related traits, yield components and mineral nutrition of wheat under Free-Air CO2 Enrichment (FACE)
18. Lentil grain quality and segregation opportunities in‐field using remote sensing.
19. Technologies and Data Analytics to Manage Grain Quality On-Farm—A Review
20. Retrieving canopy nitrogen concentration and aboveground biomass with deep learning for ryegrass and barley: comparing models and determining waveband contribution
21. Technologies and Data Analytics to Manage Grain Quality On-Farm: A Review
22. Modelling stomatal conductance of wheat: An assessment of response relationships under elevated CO2
23. Expression patterns of C- and N-metabolism related genes in wheat are changed during senescence under elevated CO2 in dry-land agriculture
24. Elevated CO2 decreases both transpiration flow and concentrations of Ca and Mg in the xylem sap of wheat
25. Water use dynamics of dryland wheat grown under elevated CO2 with supplemental nitrogen
26. Elevated CO2 alters grain quality of two bread wheat cultivars grown under different environmental conditions
27. Climate Change Impact and Adaptation for Wheat Protein
28. The effect of elevated CO2 on photochemistry and antioxidative defence capacity in wheat depends on environmental growing conditions – A FACE study
29. Understanding crop physiology to select breeding targets and improve crop management under increasing atmospheric CO2 concentrations
30. Breeding has selected for architectural and photosynthetic traits in lentils
31. Chapter One - Elevated CO2 in semi-arid cropping systems: A synthesis of research from the Australian Grains Free Air CO2 Enrichment (AGFACE) research program
32. Atmospheric CO2 data from the Australian Grains Free Air CO2 Enrichment (AGFACE) facility
33. Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing
34. Non-rigid registration of hyperspectral imagery for analysis of agronomic scenes
35. Does Elevated [CO2] Only Increase Root Growth in the Topsoil? A FACE Study with Lentil in a Semi-Arid Environment
36. Can Intra-specific Differences in Root Traits of Wheat Increase Nitrogen Use Efficiency (NUE) under Elevated CO2?
37. Spider Mite Detection and Canopy Component Mapping in Cotton Using Hyperspectral Imagery and Spectral Mixture Analysis
38. Directed sampling using remote sensing with a response surface sampling design for site-specific agriculture
39. Modeling local and global spatial correlation in field‐scale experiments
40. A reduced‐tillering trait shows small but important yield gains in dryland wheat production
41. Early vigour in wheat: Could it lead to more severe terminal drought stress under elevated atmospheric [CO 2 ] and semi‐arid conditions?
42. Automated registration of hyperspectral images for precision agriculture
43. Multiple shadow fractions in spectral mixture analysis of a cotton canopy
44. The water use dynamics of canola cultivars grown under elevated CO2 are linked to their leaf area development
45. Frost Damage Assessment in Wheat Using Spectral Mixture Analysis
46. Genotypic response of wheat under semi-arid conditions showed no specific responsive traits when grown under elevated CO2
47. Climate change impact and adaptation for wheat protein
48. Climate change impact and adaptation for wheat protein
49. Elevated CO2in semi-arid cropping systems: A synthesis of research from the Australian Grains Free Air CO2Enrichment (AGFACE) research program
50. Potential impact of elevated atmospheric carbon dioxide and climate change on Victorian wheat marketing grades and value
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