Publications

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Data from Google Scholar and updated on 1 September 2026.

Envirotypes for wheat GxE in Australia: Integrating multiple environmental indices to characterise variety trials
Abstract The National Variety Trials (NVT) - the largest coordinated crop trial network in the world - is conducted each year to …
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Pre-sowing and early growing-season rainfall are key drivers of wheat yield change in Australia
Abstract Since 1990, Australian wheat yields have shown modest annual increases, with substantial spatial variation across dryland …
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Event-based frost and heat damage functions improve yield predictions of APSIM canola and wheat: formulation, calibration, and evaluation
The increasing frequency and severity of extreme air temperature events (frost and heat) due to climate change significantly reduce …
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Integrating molecular and physiological approaches to quantify genetic controls for wheat development and improve phenotyping
Abstract Disentangling genotype-by-environment (GxE) controls of flowering time requires phenotypes that link molecular regulation, …
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Synthesizing crop modelling and deep learning for remote estimation of wheat biomass dynamics from multispectral and weather observations
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Incorporating temperature-adapted growing periods enhances simulation of crop yield sensitivity to temperature in global gridded crop models
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Sensor-based estimation of evapotranspiration and water use efficiency in Australian wheat variety trials
Abstract Over the past decades, remote sensing has evolved beyond traditional site-based methods, enabling drought monitoring and …
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Joint effects of temperature and humidity on cotton yield vulnerability to verticillium wilt disease under climate change
Abstract BACKGROUND Verticillium dahliae (Kleb.), a soil-borne fungus that can persist in soil for more than a decade, poses a …
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Molecular-physiological model integration revolutionizes cereal flowering prediction
Summary Rapid prediction and control of flowering time is essential for breeding crops resilient to changing climates. Current models …
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Challenges in modelling the impact of frost and heat stress on the yield of cool-season annual grain crops
Frost and heat events at critical growth stages could cause large yield losses. These temperature extremes are increasing in frequency …
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Comprehensive Assessment of PeriodiCT Model for Canopy Temperature Forecasting
Canopy temperature is an important indicator of plants’ water status. The so-called PeriodiCT model was developed to forecast …
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A Bayesian framework for crop model calibration: A case study in the US Corn Belt
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Early estimation of glutelin to gliadin ratio in wheat grain using high-dimensional and hyperspectral reflectance
Precise and timely estimation of the glutelin-to-gliadin ratio (Glu/Gli) in wheat grain is pivotal for crop monitoring, as it is a …
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Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data
Aboveground biomass (AGB) of plants is an agroecological indicator that can be used to monitor crop growth status and quantify biomass …
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Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data
The Agro-Pastoral Transitional Zone in Northern China: Continuously Intensifying Land Use Competition Leading to Imbalanced Spatial Matching of Ecological Elements
The agro-pastoral transitional zone (APTZ) in northern China is a typical ecologically vulnerable zone and a comprehensive geographical …
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Climate change enhances stability of wheat-flowering-date
The stability of winter wheat-flowering-date is crucial for ensuring consistent and robust crop performance across diverse climatic …
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Uncovering the Drivers and Regional Variability of Cotton Yield in China
Cotton (Gossypium hirsutum L.) is an economically important crop in China, and responses of cotton yield in different regions to …
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Quantification of the Cumulative Shading Capacity in a Maize–Soybean Intercropping System Using an Unmanned Aerial Vehicle
In intercropping systems, higher crops block direct radiation, resulting in inevitable shading on the lower crops. Cumulative shading …
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Modelling the impact of climate change on agriculture in Australia and Oceania.
In the past few decades, the Oceania region has experienced a general trend of rising temperature, increased rainfall variability, …
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A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background
It is valuable to develop a generic model that can accurately estimate the leaf area index (LAI) of wheat from unmanned aerial …
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Scales of development for wheat and barley specific to either single culms or a population of culms
Accurate assessment of plant development is essential for agronomic management and scientific research, and crop development scales …
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Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions
Introduction: In wheat, kernel weight (KW) is a key determinant of grain yield (GY). However, it is often overlooked when improving …
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A cultivar phenology classification scheme for wheat and barley
The relative time to maturity of grain crops is an important consideration for producers, yet there are no universally accepted …
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Increased wheat price spikes and larger economic inequality with 2°C global warming
Climate change poses complex impacts on the global wheat supply and demand chain. The impacts of climate change on average wheat yields …
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Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning
High-throughput phenotyping has become the frontier to accelerate breeding through linking genetics to crop growth estimation, which …
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Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning
Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning
A major challenge for the estimation of crop traits (biophysical variables) from canopy reflectance is the creation of a high-quality …
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Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning
Phenological optimization of late reproductive phase for raising wheat yield potential in irrigated mega-environments
Increasing grain number through fine-tuning duration of the late reproductive phase (LRP; terminal spikelet to anthesis) without …
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Phenological optimization of late reproductive phase for raising wheat yield potential in irrigated mega-environments
Isolation and sequencing of a single copy of an introgressed chromosome from a complex genome for gene and SNP identification
The large complex genomes of many crops constrain the use of new technologies for genome-assisted selection and genetic improvement. …
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Isolation and sequencing of a single copy of an introgressed chromosome from a complex genome for gene and SNP identification
Improving Grain Yield via Promotion of Kernel Weight in High Yielding Winter Wheat Genotypes
Improving plant net photosynthetic rates and accelerating water-soluble carbohydrate accumulation play an important role in increasing …
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Improving Grain Yield via Promotion of Kernel Weight in High Yielding Winter Wheat Genotypes
Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery
In plant breeding, unmanned aerial vehicles (UAVs) carrying multispectral cameras have demonstrated increasing utility for …
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Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images …
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Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods
Understanding the Effects of Growing Seasons, Genotypes, and Their Interactions on the Anthesis Date of Wheat Sown in North China
Quantitative studies on the effects of growing season, genotype (including photoperiod genes and vernalization genes), and their …
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Understanding the Effects of Growing Seasons, Genotypes, and Their Interactions on the Anthesis Date of Wheat Sown in North China
Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes
Aboveground dry weight (AGDW) and leaf area index (LAI) are indicators of crop growth status and grain yield as affected by …
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Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes
Using a gene-based phenology model to identify optimal flowering periods of spring wheat in irrigated mega-environments
To maximise the grain yield of spring wheat, flowering needs to coincide with the optimal flowering period (OFP) by minimising frost …
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Using a gene-based phenology model to identify optimal flowering periods of spring wheat in irrigated mega-environments
Genotype specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change
Yield is a function of environmental quality and the sensitivity with which genotypes react to that. Environmental quality is …
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Genotype specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
Ground coverage (GC) allows monitoring of crop growth and development and is normally estimated as the ratio of vegetation to the total …
PDF DOI
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
Modeling the joint impacts of ozone and aerosols on crop yields in China: An air pollution policy scenario analysis
China has successfully reduced particulate matter pollution, but ozone concentrations continually grow. Here, we employed a atmospheric …
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Integrating Crop Growth Models with Remote Sensing for Predicting Biomass Yield of Sorghum
Plant phenotypes are often descriptive, rather than predictive of crop performance. As a result, extensive testing is required in plant …
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ModelingGlobal Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
The detection of wheat heads in plant images is an important task for estimating pertinent wheat traits including head population …
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Does precipitation keep pace with temperature in the marginal double-cropping area of northern China?
Northern China is the major grain-production region in the country. To adapt to climate change and ensure food security with a fixed …
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A reduced‐tillering trait shows small but important yield gains in dryland wheat production
Reducing the number of tillers per plant using a tiller inhibition (tin ) gene has been considered as an important trait for wheat …
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Designing crops for adaptation to the drought and high‐temperature risks anticipated in future climates
Climate risks pervade agriculture and generate major consequences on crop production. We do not know what the next season will be like, …
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Enabling breeding of spring wheat for optimisation of flowering time for current and future climates by linking genetic maps to simulation model parameters
In Australian wheat production, optimizing wheat phenology is essential to reach yield potential and to avoid within‐season stress at …
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From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time
Genotype by environment interaction (G×E) for the target trait, e.g. yield, is an emerging property of agricultural systems and results …
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Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies
Genomic prediction of complex traits, say yield, benefits from including information on correlated component traits. Statistical …
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Extraction of phenotypic traits using unmanned aerial vehicle for field experiments in the agronomy and crop breeding
With advances in camera and robotic technologies, unmanned aerial vehicles (UAV) provide the means to capture images at sufficiently …
Establishing a value proposition for future traits in a climate-changing world.
Increasing climate variability is as great a concern as increasing air temperatures forecast with climate change. The challenge for …
Assessment of traits related with water productivity in the Australian wheatbelt using an improved version of the APSIM-Wheat model.
Traits related with water productivity in dryland cropping interact in multiple ways to influence final grain yield. The APSIM-Wheat …
Estimation of plot variability using unmanned aerial vehicle (UAV) for the wheat breeding trials
Gaps in breeders’ plots (spatial variability) are caused by multiple biotic and abiotic stresses (i.e. poor seed gemination, frost, …
Assessment of traits related with water productivity in the Australian wheatbelt using an improved version of the APSIM-Wheat model.
Traits related with water productivity in dryland cropping interact in complex ways to influence final grain yield. Over the last …
Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding
Image analysis using proximal sensors can help accelerate the selection process in plant breeding and improve the breeding efficiency. …
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A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting
The yield of cereal crops such as sorghum (Sorghum bicolor L. Moench) depends on the distribution of crop-heads in varying branching …
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Effects of climate change on the extension of the potential double cropping region and crop water requirements in Northern China
Multiple cropping systems have been widely used in China as smart strategies to address climate change to ensure that increasing food …
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A generic approach to modelling, allocation and redistribution of biomass to and from plant organs
Accurate prediction of the allocation and redistribution of crop biomass is essential for simulating the impact of crop traits and …
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Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat
Background: Plant height is an important selection target since it is associated with yield potential, stability and particularly with …
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Modelling impact of early vigour on wheat yield in dryland regions
Early vigour, or faster early leaf area development, has been considered an important trait for rainfed wheat in dryland regions such …
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Improving process-based crop models to better capture genotype×environment×management interactions
In spite of the increasing expectation for process-based crop modelling to capture genotype (G) by environment (E) by management (M) …
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A new probabilistic forecasting model for canopy temperature with consideration of periodicity and parameter variation
Continuous measurement of canopy temperature is an important indicator of plant water status of crops and the ability to predict canopy …
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Characterization of peach tree crown by using high-resolution images from an unmanned aerial vehicle
In orchards, measuring crown characteristics is essential for monitoring the dynamics of tree growth and optimizing farm management. …
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The Value of Tactical Adaptation to El Niño–Southern Oscillation for East Australian Wheat
El Niño–Southern Oscillation strongly influences rainfall and temperature patterns in Eastern Australia, with major impacts on frost, …
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Direct and Indirect Costs of Frost in the Australian Wheatbelt
Breeding for improved reproductive frost tolerance could allow greater yield and economic benefits to be achieved by (i) reducing …
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PhenoCopter: An cloud based solution for image processing captured by unmanned aerial vehicle in high throughput phenotyping
As the advances of technologies, unmanned aerial vehicles (UAV) are more convenient to capture images in large scale to extract crop …
Estimation of aboveground biomass and leaf area for a wheat trial index using unmanned aerial vehicle
Aboveground biomass (AGB) and leaf area index (LAI) are very important in plant breeding and precision agriculture, as major indicators …
Efficient characterization of orchard tree using high resolution images from unmanned aerial vehicle An effective method for crown characteristics analysis in orchard using UAV images
[Background] In orchard, phenotyping the crown related characteristics (e.g. crown diameter and area) is important for monitoring the …
Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding
Plant height is an essential trait to evaluate in grain sorghum, being positively associated with potential grain yield. Standard …
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APSIM Next Generation: Overcoming challenges in modernising a farming systems model
From 1990, the Agricultural Production Systems sIMulator (APSIM) has grown from a field-focused farming systems framework used by a …
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Modelling maize phenology, biomass growth and yield under contrasting temperature conditions
Crop modelling has become an effective means to assess climate change impact on crop yield and to assist in development of adaptation …
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McGET: A rapid image-based method to determine the morphological characteristics of gravels on the Gobi desert surface
The relationship between morphological characteristics (e.g. gravel size, coverage, angularity and orientation) and local geomorphic …
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Projected impact of future climate on water-stress patterns across the Australian wheatbelt
Drought frequently limits Australian wheat production, and the expected future increase in temperatures and rainfall variability will …
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The big impacts of image resolution on the estimation of ground coverage for wheat in UAV survey
Ground coverage (GC) is a simple and important trait to monitor crop growth and development, which can be easily captured by visual …
PhenoCopter: An cloud based platform to manage, process and visualize images captured by unmanned aerial vehicle for high throughput phenotyping
As the advances of technologies, unmanned aerial vehicles (UAV) are more convenient to capture images in large scale to extract crop …
Optimizing soil-coring strategies to quantify root-length-density distribution in field-grown maize: virtual coring trials using 3-D root architecture models

Background and Aims

Root distribution has a major influence on soil exploration and nutrient and water acquisition by plants. Soil …

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Estimation of canopy height using an unmanned aerial vehicle in the field during wheat growth season
Canopy height is a simple trait to represent status of plant growth and development and potentially biomass production, as well as …
PDF
Assessment of canopy growth and development for three wheat cultivars under different water and nitrogen regimes
Traits related to water productivity in dryland cropping interact in multiple ways to influence final grain yield. Crop modelling can …
PDF Project
Improving the relationships used to define frost damage to wheat in crop models
In order to predict the consequences and value of frost adaptation through breeding and agronomy across Australia’s cropping region it …
PDF
Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance
Frost, during reproductive developmental stages, especially post head emergence frost (PHEF), can result in catastrophic yield loss for …
Project DOI
Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle
While new technologies can capture high-resolution normalized difference vegetation index (NDVI), a surrogate for biomass and leaf …
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Quantifying high temperature risks and their potential effects on sorghum production in Australia
High temperatures across the Australian sorghum belt can reduce sorghum yields, but genotypic differences in heat tolerance could …
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EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field Conditions
Understanding interactions of genotype, environment, and management under field conditions is vital for selecting new cultivars and …
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Drought in wheat – Past and future trends
Understanding how climate is varying and is likely affecting crop productivity in the coming decades is essential for global food …
Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV
Ground cover is an important physiological trait affecting crop radiation capture, water-use efficiency and grain yield. It is …
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Dynamic monitoring of canopy structure by time serial photography of early stage growth of wheat

Early vigour is an important physiological trait to improve establishment, water-use efficiency and grain yield for wheat. Phenotyping …

The gravel coverage and size of Gobi desert analyzed by a rapid image-based method
The Gobi desert is one of the most widespread landscapes in northwest China. The coverage and morphological characteristics of gravels …
Identification of Earliness Per Se Flowering Time Locus in Spring Wheat through a Genome-Wide Association Study
Identification of earliness per se (Eps) flowering time loci in spring wheat are troublesome due to confounding effects of …
Project DOI
Improvement of the model capacity and assessment traits related with water use efficiency for wheat in Australia
Traits related with water productivity in dryland cropping interact in multiple ways to influence final grain yield, with traits being …
Project
Recent changes in southern Australian frost occurrence: implications for wheat production risk
Frost damage remains a major problem for broadacre cropping, viticulture, horticulture and other agricultural industries in Australia. …
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Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes
Early vigour is an important physiological trait to improve establishment, water-use efficiency, and grain yield for wheat. Phenotyping …
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A standardized workflow to utilise a grid-computing system through advanced message queuing protocols
Point-based crop models are frequently used to investigate the interaction of genotype, environment and management (G × E × M) for …
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Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches
Stresses from heat and drought are expected to increasingly suppress crop yields, but the degree to which current models can represent …
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Do wheat breeders have suitable genetic variation to overcome short coleoptiles and poor establishment in the warmer soils of future climates?
Increases in air and soil temperatures will impact cereal growth and reduce crop yields. Little is known about how increasing …
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Quantitative evaluation of influence of PROSTRATE GROWTH 1 gene on rice canopy structure based on three-dimensional structure model
The discovery and separation of the PROSTRATE GROWTH 1 gene has significantly contributed to reveal the molecular mechanism of rice …
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Simplification of leaf surfaces from scanned data: Effects of two algorithms on leaf morphology
New technologies, such as three-dimensional (3D) laser scanning and stereo imaging, have recently been adopted for quantifying plant …
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Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis
A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of genetic, physiology, pedo-climatic …
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Velocity of temperature and flowering time in wheat – assisting breeders to keep pace with climate change
By accelerating crop development, warming climates may result in mismatches between key sensitive growth stages and extreme climate …
Project DOI
Quantification of direct and indirect cost of frost for the Australian wheatbelt

A single post head-emergence frosts (PHEF) event has the potential to devastate individual wheat crops by damaging stems and killing …

Project
Projected impacts of climate change on drought stresses in Australian wheat
Wheat is one of the primary staple foods. Due to a rising population and improved living standards, demand for this crop continues to …
Heat stress effects on grain sorghum productivity – biology and modelling
Heat stress shock has been known to cause sterility in sorghum and the anticipated increasing frequency of heat shock events with …
Breeding for the future: How to adapt to frost, drought and heat impacts in Australian wheat

While extreme climatic events (frost, heat and drought) can already severely limit wheat production, the expected future increase in …

Project
The shifting influence of drought and heat stress for crops in Northeast Australia
Characterization of drought environment types (ETs) has proven useful for breeding crops for drought-prone regions. Here, we consider …
Project DOI
Predicting heading date and frost impact in wheat across Australia
Spring radiant frosts occurring when wheat is in reproductive developmental stages can result in catastrophic yield lost for producers. …
Project Project
Gene-based prediction of heading time to target real-time and future climate adaptation in wheat

Spring wheat production systems in Australia require fine-tuning of heading time in order to maximise the efficient use of resources …

Project
Crop modelling to aid crop improvement

Substantial genotype x environment interactions impede breeding progress for yield. Identifying genetic controls associated with yield …

Project
Climate change adaptation in Australian wheat farm systems upscaled from farm to national scale
Wheat is one of the main grains produced across the globe and wheat yields are highly sensitive to changes in climate. Australia is one …
The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scale
Wheat is one of the main grains produced across the globe and wheat yields are sensitive to changes in climate. Australia is a major …
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Frost trends and their estimated impact on yield in the Australian wheatbelt
Radiant spring frosts occurring during reproductive developmental stages can result in catastrophic yield loss for wheat producers. To …
Project Project DOI
National scale adaptation value in wheat farm systems by 2030, filling the yield gap or interactive benefits?
Abstract A large set of biophysical system-modelling simulations were undertaken for a set of 30 representative farm systems across the …
Crop design for specific adaptation in variable dryland production environments
Climatic variability in dryland production environments (E) generates variable yield and crop production risks. Optimal combinations of …
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Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping
Plant breeding trials are extensive (100s to 1000s of plots) and are difficult and expensive to monitor by conventional means, …
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Pheno-Copter: a low-altitude, autonomous remote-sensing robotic helicopter for high-throughput field-based phenotyping
Plant breeding trials are extensive (100s to 1000s of plots) and are difficult and expensive to monitor by conventional means, …
DOI
Breeding for the future: How to adapt to potential impacts of future frost, drought and heat events on Australian wheat?
While extreme climatic events (frost, heat and drought) can already severely limit wheat production, the expected future increase in …
Project
Breeding for the future – avoiding climate extremes and maximising yield of spring wheat in water-limited environments
Project
Using gene-based information to adapt wheat flowering time to avoid heat, frost and drought stresses in current and future climates
Varying the timing of reproductive stages of growth relative to climatic stresses is a useful adaptation to maintain yields. In future …
Project
Role of genotypic variation in response to increasing temperatures in wheat
Project
Predicting heading time of Australian wheat using effects of VRN1 and Ppd-D1
Flowering time is a main determinant of wheat adaptation to diverse environments and is influenced by three groups of genes, earliness …
Project
Crop design for specific adaptation in variable dryland production environment
Climatic variability in dryland production environments (E) generates crop production risks. Optimal combinations of genotype (G) and …
Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments
Heading time is a major determinant of the adaptation of wheat to different environments, and is critical in minimizing risks of frost, …
Project DOI
Wheat response to drought and heat - Using crop modelling to prepare for the future
While extreme temperature and frequent drought severely affect wheat production, predictions of climate change forecast increased …
Project
Association genetics for earliness components and QTL-based ecophysiological predictions of heading date provide tools to optimize heading date through breeding
Project
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?
Extreme climate, especially temperature, can severely reduce wheat yield. As global warming has already begun to increase mean …
Project DOI
Crop improvement, ideotyping and modelling under climate change
The year 2050 is two to five full cycles of plant breeding from the present. Given that it takes 3 to 20 years to develop a new …
Project
Frost and heat limits to the wheat flowering ‘window’ in present and future climates
To pollinate and set grain, Australian wheat needs to flower in spring in a ‘window’ when risks of frost or heat stress are low. Other …
Project
Assessment of the influence of global dimming on the photosynthetic production of rice based on three-dimensional modeling
Observations indicate that global radiation reaching the Earth’s surface has gradually decreased over the past several decades (i.e., …
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Assessment of the effects of leaf angle combinations on potential photosynthesis capacity of rice with 3-D models using high performance computing
Improving plant structure is pivotal for increasing the potential yield of crops. The aim of this paper was to evaluate the influence …
Three-dimensional digitization in situ of rice canopies and virtual stratified-clipping method.
Objective: The aim of this paper was to explore a technology which can accurately reflect the three-dimensional (3D) canopy …
Comparison of architecture among different cultivars of hybrid rice using spatial light model based on 3D digitizing
Modification of plant types (i.e. plant architecture) is an important strategy to enhance the yield potential of crops. The aims of …
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Canopy Architecture Quantification and Spatial Direct Light Interception Modeling of Hybrid Rice
Rice is one of the most important crops in the world, and hybrid rice is planted broadly in China which accounts for half of China’s …
PDF
Vernalisation and photoperiod responses of diverse wheat genotypes
Context: Wheat (Triticum aestivum L.) adaptation is highly dependent on crop lifecycle duration, particularly the time at which …
DOI
A field-based high-throughput method for acquiring canopy architecture using unmanned aerial vehicle images
Plant architectural traits are important selection criteria in plant breeding that relate to photosynthetic efficiency and crop …
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