What is he best known for?
The fields of study he is best known for:
- Botany
- Agriculture
- Agronomy
His primary scientific interests are in Agronomy, Plant breeding, Horticulture, Dwarfing and Selection.
Anthesis, Water-use efficiency, Crop yield, Sowing and Poaceae are the subjects of his Agronomy studies.
His study looks at the relationship between Water-use efficiency and fields such as Transpiration, as well as how they intersect with chemical problems.
His Plant breeding research is multidisciplinary, incorporating elements of Genetic correlation and Monogastric.
His biological study spans a wide range of topics, including Genetic gain and Genetic variation.
The Selection study combines topics in areas such as Quantitative trait locus and Molecular marker.
His most cited work include:
- Breeding for high water-use efficiency. (826 citations)
- Breeding Opportunities for Increasing the Efficiency of Water Use and Crop Yield in Temperate Cereals. (572 citations)
- Improving Intrinsic Water-Use Efficiency and Crop Yield. (537 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Agronomy, Horticulture, Heritability, Quantitative trait locus and Plant breeding.
His work in Agronomy is not limited to one particular discipline; it also encompasses Dwarfing.
His research on Horticulture also deals with topics like
- Botany together with Animal science,
- Poaceae that intertwine with fields like Transpiration.
In his study, Canopy is strongly linked to Stomatal conductance, which falls under the umbrella field of Heritability.
The Transgressive segregation and Doubled haploidy research Greg J. Rebetzke does as part of his general Quantitative trait locus study is frequently linked to other disciplines of science, such as Trait, therefore creating a link between diverse domains of science.
In his research, Animal breeding is intimately related to Monogastric, which falls under the overarching field of Plant breeding.
He most often published in these fields:
- Agronomy (59.26%)
- Horticulture (20.99%)
- Heritability (18.52%)
What were the highlights of his more recent work (between 2015-2021)?
- Agronomy (59.26%)
- Crop (11.73%)
- Sowing (14.20%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Agronomy, Crop, Sowing, Trait and Canopy.
His Agronomy study frequently draws connections to adjacent fields such as Transpiration.
His Crop research includes elements of Functional genes and Linkage.
His studies deal with areas such as Dwarfing and Yield as well as Sowing.
His study in Canopy is interdisciplinary in nature, drawing from both Tiller, Anthesis and Stomatal conductance.
Greg J. Rebetzke interconnects Biotechnology, Genetic gain, Genetic variation and Drought tolerance in the investigation of issues within Selection.
Between 2015 and 2021, his most popular works were:
- High throughput determination of plant height, ground cover, and above-ground biomass in wheat with LiDAR (99 citations)
- Methodology for High-Throughput Field Phenotyping of Canopy Temperature Using Airborne Thermography. (54 citations)
- Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes (54 citations)
In his most recent research, the most cited papers focused on:
- Agriculture
- Botany
- Agronomy
Agronomy, Selection, Heritability, Canopy and Stomatal conductance are his primary areas of study.
His is involved in several facets of Agronomy study, as is seen by his studies on Drought tolerance, Water-use efficiency and Cultivar.
His studies in Water-use efficiency integrate themes in fields like Cropping, Vapour Pressure Deficit, Transpiration and Crop.
The study incorporates disciplines such as Genetic diversity, Allele, Adaptation and Genetic gain, Genetic variation in addition to Selection.
His Heritability research focuses on subjects like Germplasm, which are linked to Water soluble carbohydrate, Yield, Agriculture, Photosynthesis and Test weight.
His Canopy study integrates concerns from other disciplines, such as Tiller and Anthesis.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
