Related references
Note: Only part of the references are listed.Comparative Aerial and Ground Based High Throughput Phenotyping for the Genetic Dissection of NDVI as a Proxy for Drought Adaptive Traits in Durum Wheat (vol 9, 893, 2018)
Giuseppe E. Condorelli et al.
FRONTIERS IN PLANT SCIENCE (2018)
NDVI variation according to the time of measurement, sampling size, positioning of sensor and water regime in different soybean cultivars
Luis Guilherme Teixeira Crusiol et al.
PRECISION AGRICULTURE (2017)
Stay-green traits to improve wheat adaptation in well-watered and water-limited environments
John T. Christopher et al.
JOURNAL OF EXPERIMENTAL BOTANY (2016)
Corn Response to Climate Stress Detected with Satellite-Based NDVI Time Series
Ruoyu Wang et al.
REMOTE SENSING (2016)
Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research
Yeyin Shi et al.
PLOS ONE (2016)
Influence of soil, crop residue, and sensor orientations on NDVI readings
J. R. Jones et al.
PRECISION AGRICULTURE (2015)
APSIM - Evolution towards a new generation of agricultural systems simulation
Dean P. Holzworth et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2014)
Pratylenchus thornei populations reduce water uptake in intolerant. wheat cultivars
J. P. M. Whish et al.
FIELD CROPS RESEARCH (2014)
Phenotyping novel stay-green traits to capture genetic variation in senescence dynamics
John T. Christopher et al.
FUNCTIONAL PLANT BIOLOGY (2014)
Field high-throughput phenotyping: the new crop breeding frontier
Jose Luis Araus et al.
TRENDS IN PLANT SCIENCE (2014)
Wheat biomass and yield increased when populations of the root-lesion nematode (Pratylenchus thornei) were reduced through sequential rotation of partially resistant winter and summer crops
K. J. Owen et al.
CROP & PASTURE SCIENCE (2014)
Yield response in chickpea cultivars and wheat following crop rotations affecting population densities of Pratylenchus thornei and arbuscular mycorrhizal fungi
R. A. Reen et al.
CROP & PASTURE SCIENCE (2014)
Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping
Scott C. Chapman et al.
AGRONOMY-BASEL (2014)
Yield improvement and adaptation of wheat to water-limited environments in Australia-a case study
R. A. Richards et al.
CROP & PASTURE SCIENCE (2014)
Non-Invasive Spectral Phenotyping Methods can Improve and Accelerate Cercospora Disease Scoring in Sugar Beet Breeding
Marcus Jansen et al.
AGRICULTURE-BASEL (2014)
Use of soil moisture data for refined GreenSeeker sensor based nitrogen recommendations in winter wheat (Triticum aestivum L.)
Olga S. Walsh et al.
PRECISION AGRICULTURE (2013)
Recent advances in sensing plant diseases for precision crop protection
Anne-Katrin Mahlein et al.
EUROPEAN JOURNAL OF PLANT PATHOLOGY (2012)
Root-lesion nematode (Pratylenchus thornei) reduces nutrient response, biomass and yield of wheat in sorghum-fallow-wheat cropping systems in a subtropical environment
J. P. Thompson et al.
FIELD CROPS RESEARCH (2012)
Phenomics - technologies to relieve the phenotyping bottleneck
Robert T. Furbank et al.
TRENDS IN PLANT SCIENCE (2011)
Occurrence of root-lesion nematodes (Pratylenchus thornei and P. neglectus) and stunt nematode (Merlinius brevidens) in the northern grain region of Australia
J. P. Thompson et al.
AUSTRALASIAN PLANT PATHOLOGY (2010)
Pre-cropping with canola decreased Pratylenchus thornei populations, arbuscular mycorrhizal fungi, and yield of wheat
K. J. Owen et al.
CROP & PASTURE SCIENCE (2010)
Estimating disease losses to the Australian wheat industry
Gordon M. Murray et al.
AUSTRALASIAN PLANT PATHOLOGY (2009)
Which crops should be included in a carbon accounting system for Australian agriculture?
Murray Unkovich et al.
CROP & PASTURE SCIENCE (2009)
Root-lesion nematodes (Pratylenchus thornei and P. neglectus): a review of recent progress in managing a significant pest of grain crops in northern Australia
J. P. Thompson et al.
AUSTRALASIAN PLANT PATHOLOGY (2008)
Breeding for Yield Potential and Stress Adaptation in Cereals
José Luis Araus et al.
CRITICAL REVIEWS IN PLANT SCIENCES (2008)
Estimating N status of winter wheat using a handheld spectrometer in the North China Plain
Fei Li et al.
FIELD CROPS RESEARCH (2008)
Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China
Jianqiang Ren et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2008)
Evaluating spatial within plot crop variability for different management practices with an optical sensor?
Bram Govaerts et al.
PLANT AND SOIL (2007)
Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments
J. Casadesus et al.
ANNALS OF APPLIED BIOLOGY (2007)
Can wheat yield be assessed by early measurements of Normalized Difference Vegetation Index?
J. Marti et al.
ANNALS OF APPLIED BIOLOGY (2007)
Effects of the root-lesion nematode, Pratylenchus thornei, on wheat yields in Mexico
JM Nicol et al.
NEMATOLOGY (2004)
Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend
A Smith et al.
BIOMETRICS (2001)
Contributions of soil and crop factors to plant available soil water capacity of annual crops on Black and Grey Vertosols
Z Hochman et al.
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH (2001)
Share Paper
