Related references
Note: Only part of the references are listed.Comparisons of photosynthetic and anatomical traits between wild and domesticated cotton
Zhangying Lei et al.
JOURNAL OF EXPERIMENTAL BOTANY (2022)
Genomic prediction of cotton fibre quality and yield traits using Bayesian regression methods
Zitong Li et al.
HEREDITY (2022)
The Past, Present, and Future of Host Plant Resistance in Cotton: An Australian Perspective
Lucy M. Egan et al.
FRONTIERS IN PLANT SCIENCE (2022)
Biomass Prediction with 3D Point Clouds from LiDAR
Liyuan Pan et al.
2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022) (2022)
Cotton yield estimation model based on machine learning using time series UAV remote sensing data
Weicheng Xu et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)
Genetic mapping and transcriptomic characterization of a new fuzzless-tufted cottonseed mutant
Qian-Hao Zhu et al.
G3-GENES GENOMES GENETICS (2021)
Characterization and Genetic Mapping of Black Root Rot Resistance in Gossypium arboreum L.
Iain W. Wilson et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)
Few-shot cotton leaf spots disease classification based on metric learning
Xihuizi Liang
PLANT METHODS (2021)
A standardised approach for determining heat tolerance in cotton using triphenyl tetrazolium chloride
Susan Y. Jaconis et al.
SCIENTIFIC REPORTS (2021)
Identification of Cotton Leaf Lesions Using Deep Learning Techniques
Rafael Faria Caldeira et al.
SENSORS (2021)
The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data
Jose Crossa et al.
FRONTIERS IN PLANT SCIENCE (2021)
A Deep Learning-Based Method for Automatic Assessment of Stomatal Index in Wheat Microscopic Images of Leaf Epidermis
Chuancheng Zhu et al.
FRONTIERS IN PLANT SCIENCE (2021)
Rapid and Accurate Varieties Classification of Different Crop Seeds Under Sample-Limited Condition Based on Hyperspectral Imaging and Deep Transfer Learning
Na Wu et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2021)
Mesophyll conductance: walls, membranes and spatial complexity
John R. Evans
NEW PHYTOLOGIST (2021)
Accurate prediction of maize grain yield using its contributing genes for gene-based breeding
Meiping Zhang et al.
GENOMICS (2020)
Evaluation of genomic selection methods for predicting fiber quality traits in Upland cotton
Md Sariful Islam et al.
MOLECULAR GENETICS AND GENOMICS (2020)
Transcriptome-Based Prediction of Complex Traits in Maize([OPEN])
Christina B. Azodi et al.
PLANT CELL (2020)
Using leaf sodium concentration for screening sodicity tolerance in cotton (Gossypium hirsutum L.)
Shiming Liu et al.
FIELD CROPS RESEARCH (2020)
Genetic Identification and Transcriptome Analysis of Lintless and Fuzzless Traits in Gossypium arboreum L.
Xueying Liu et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2020)
Factors responsible for yield improvement in new Gossypium hirsutum L. cotton cultivars
Warren C. Conaty et al.
FIELD CROPS RESEARCH (2020)
Genomic diversifications of five Gossypium allopolyploid species and their impact on cotton improvement
Z. Jeffrey Chen et al.
NATURE GENETICS (2020)
Expansion ofMIR482/2118by a class-II transposable element in cotton
Enhui Shen et al.
PLANT JOURNAL (2020)
Improved lint yield under field conditions in cotton over-expressing transcription factors regulating fibre initiation
Shiming M. Liu et al.
TRANSGENIC RESEARCH (2020)
High-Throughput in situ Root Image Segmentation Based on the Improved DeepLabv3+Method
Chen Shen et al.
FRONTIERS IN PLANT SCIENCE (2020)
DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field
Yu Jiang et al.
PLANT METHODS (2020)
Accurate Prediction of a Quantitative Trait Using the Genes Controlling the Trait for Gene-Based Breeding in Cotton
Yun-Hua Liu et al.
FRONTIERS IN PLANT SCIENCE (2020)
Parental selection strategy for improving fibre strength and maintaining lint yield in cotton
Jenny C. Koebernick et al.
INDUSTRIAL CROPS AND PRODUCTS (2019)
StomataCounter: a neural network for automatic stomata identification and counting
Karl C. Fetter et al.
NEW PHYTOLOGIST (2019)
Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties
Susu Zhu et al.
MOLECULES (2019)
DeepSeedling: deep convolutional network and Kalman filter for plant seedling detection and counting in the field
Yu Jiang et al.
PLANT METHODS (2019)
The Management of Insect Pests in Australian Cotton: An Evolving Story
Lewis J. Wilson et al.
ANNUAL REVIEW OF ENTOMOLOGY, VOL 63 (2018)
Deep learning in agriculture: A survey
Andreas Kamilaris et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Use of a managed stress environment in breeding cotton for a variable rainfall environment
Warren C. Conaty et al.
FIELD CROPS RESEARCH (2018)
Beyond Genomic Prediction: Combining Different Types of omics Data Can Improve Prediction of Hybrid Performance in Maize
Tobias A. Schrag et al.
GENETICS (2018)
Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors
Hao Cheng et al.
GENETICS (2018)
Genetic dissection of the fuzzless seed trait in Gossypium barbadense
Qian-Hao Zhu et al.
JOURNAL OF EXPERIMENTAL BOTANY (2018)
Historical Datasets Support Genomic Selection Models for the Prediction of Cotton Fiber Quality Phenotypes Across Multiple Environments
Washington Gapare et al.
G3-GENES GENOMES GENETICS (2018)
Beyond Genomic Prediction: Combining Different Types of omics Data Can Improve Prediction of Hybrid Performance in Maize
Tobias A. Schrag et al.
GENETICS (2018)
Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors
Hao Cheng et al.
GENETICS (2018)
FIELD PHENOTYPING FOR THE FUTURE
Jonathan A. Atkinson et al.
ANNUAL PLANT REVIEWS ONLINE (2018)
Genomic selection methods for crop improvement: Current status and prospects
Xin Wang et al.
CROP JOURNAL (2018)
Engineering chloroplasts to improve Rubisco catalysis: prospects for translating improvements into food and fiber crops
Robert E. Sharwood
NEW PHYTOLOGIST (2017)
A perspective on management of Helicoverpa armigera: transgenic Bt cotton, IPM, and landscapes
Sharon Downes et al.
PEST MANAGEMENT SCIENCE (2017)
Genome-wide association study of yield components and fibre quality traits in a cotton germplasm diversity panel
Washington Gapare et al.
EUPHYTICA (2017)
Translating knowledge about abiotic stress tolerance to breeding programmes
Matthew Gilliham et al.
PLANT JOURNAL (2017)
Structure of cellulose microfibrils in mature cotton fibres
Marta Martinez-Sanz et al.
CARBOHYDRATE POLYMERS (2017)
Tissue and cell-specific transcriptomes in cotton reveal the subtleties of gene regulation underlying the diversity of plant secondary cell walls
Colleen P. MacMillan et al.
BMC GENOMICS (2017)
Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array
Lori L. Hinze et al.
BMC PLANT BIOLOGY (2017)
Integrated mapping and characterization of the gene underlying the okra leaf trait in Gossypium hirsutum L.
Qian-Hao Zhu et al.
JOURNAL OF EXPERIMENTAL BOTANY (2016)
Molecular mapping of bunchy top disease resistance in Gossypium hirsutum L.
Marc H. Ellis et al.
EUPHYTICA (2016)
Genomic selection in a commercial winter wheat population
Sang He et al.
THEORETICAL AND APPLIED GENETICS (2016)
Drought-Tolerant Corn Hybrids Yield More in Drought-Stressed Environments with No Penalty in Non-stressed Environments
Eric Adee et al.
FRONTIERS IN PLANT SCIENCE (2016)
Enhancing Integrated Pest Management in GM Cotton Systems Using Host Plant Resistance
Carlos Trapero et al.
FRONTIERS IN PLANT SCIENCE (2016)
Genomic Selection in the Era of Next Generation Sequencing for Complex Traits in Plant Breeding
Javaid A. Bhat et al.
FRONTIERS IN GENETICS (2016)
First report of the presence of Verticillium dahliae VCG1A in Australia
Toni A. Chapman et al.
AUSTRALASIAN PLANT DISEASE NOTES (2016)
Non-destructive high-throughput DNA extraction and genotyping methods for cotton seeds and seedlings
Xiuting Zheng et al.
BIOTECHNIQUES (2015)
Metabolomic and transcriptomic insights into how cotton fiber transitions to secondary wall synthesis, represses lignification, and prolongs elongation
John R. Tuttle et al.
BMC GENOMICS (2015)
Meeting the Global Food Demand of the Future by Engineering Crop Photosynthesis and Yield Potential
Stephen P. Long et al.
CELL (2015)
Early generation selection strategies for breeding better combinations of cotton yield and fibre quality
J. D. Clement et al.
FIELD CROPS RESEARCH (2015)
Improvements in nutrient uptake and nutrient use-efficiency in cotton cultivars released between 1973 and 2006
I. J. Rochester et al.
FIELD CROPS RESEARCH (2015)
The yield potential of cotton (Gossypium hirsutum L.)
G. A. Constable et al.
FIELD CROPS RESEARCH (2015)
Inheritance and QTL Mapping of Leaf Nutrient Concentration in a Cotton Inter-Specific Derived RIL Population
Shiming Liu et al.
PLOS ONE (2015)
Development of a 63K SNP Array for Cotton and High-Density Mapping of Intraspecific and Interspecific Populations of Gossypium spp.
Amanda M. Hulse-Kemp et al.
G3-GENES GENOMES GENETICS (2015)
Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and Statistical Model on Accuracy of Rice Genomic Selection in Elite, Tropical Rice Breeding Lines
Jennifer Spindel et al.
PLOS GENETICS (2015)
Benefit of spatial analysis for furrow irrigated cotton breeding trials
S. M. Liu et al.
EUPHYTICA (2015)
Lack of adaptation to a new host in a generalist herbivore: implications for host plant resistance to twospotted spider mites in cotton
Junji Miyazaki et al.
PEST MANAGEMENT SCIENCE (2015)
Understanding the molecular events underpinning cultivar differences in the physiological performance and heat tolerance of cotton (Gossypium hirsutum)
Nicola S. Cottee et al.
FUNCTIONAL PLANT BIOLOGY (2014)
Genome sequence of the cultivated cotton Gossypium arboreum
Fuguang Li et al.
NATURE GENETICS (2014)
Transcriptome and Complexity-Reduced, DNA-Based Identification of Intraspecies Single-Nucleotide Polymorphisms in the Polyploid Gossypium hirsutum L.
Qian-Hao Zhu et al.
G3-GENES GENOMES GENETICS (2014)
Identification of host plant resistance to silverleaf whitefly in cotton: Implications for breeding
Junji Miyazaki et al.
FIELD CROPS RESEARCH (2013)
The interaction between breeding and crop management in improved cotton yield
S. M. Liu et al.
FIELD CROPS RESEARCH (2013)
Novel cotton germplasm with host plant resistance to twospotted spider mite
Junji Miyazaki et al.
FIELD CROPS RESEARCH (2012)
Negative associations still exist between yield and fibre quality in cotton breeding programs in Australia and USA
J. D. Clement et al.
FIELD CROPS RESEARCH (2012)
Developing controlled environment screening for high-temperature tolerance in cotton that accurately reflects performance in the field
Nicola S. Cottee et al.
FUNCTIONAL PLANT BIOLOGY (2012)
Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibres
Andrew H. Paterson et al.
NATURE (2012)
Epidermal cell differentiation in cotton mediated by the homeodomain leucine zipper gene, GhHD-1
Sally-Ann Walford et al.
PLANT JOURNAL (2012)
Genomic Selection in Wheat Breeding using Genotyping-by-Sequencing
Jesse Poland et al.
PLANT GENOME (2012)
GhMYB25-like: a key factor in early cotton fibre development
Sally-Ann Walford et al.
PLANT JOURNAL (2011)
Multi-Level Determination of Heat Tolerance in Cotton (Gossypium hirsutum L.) under Field Conditions
N. S. Cottee et al.
CROP SCIENCE (2010)
The MYB transcription factor GhMYB25 regulates early fibre and trichome development
Adriane Machado et al.
PLANT JOURNAL (2009)
Expression profiling identifies genes expressed early during lint fibre initiation in cotton
YR Wu et al.
PLANT AND CELL PHYSIOLOGY (2006)
Selection theory for marker-assisted backcrossing
M Frisch et al.
GENETICS (2005)
Selection for water use efficiency traits in a cotton breeding program: Cultivar differences
WN Stiller et al.
CROP SCIENCE (2005)
Characterization of California isolates of Fusarium oxysporum f. sp vasinfectum
Y Kim et al.
PLANT DISEASE (2005)
DNA extractability from the maize embryo and endosperm - relevance to GMO assessment in seed samples
N Papazova et al.
SEED SCIENCE AND TECHNOLOGY (2005)
Maturity and leaf shape as traits influencing cotton cultivar adaptation to dryland conditions
WN Stiller et al.
AGRONOMY JOURNAL (2004)
A high-throughput DNA extraction method for barley seed
R von Post et al.
EUPHYTICA (2003)
Bemisia tabaci (Homoptera: Aleyrodidae) biotype B colonization on okra- and normal-leaf upland cotton strains and cultivars
CC Chu et al.
JOURNAL OF ECONOMIC ENTOMOLOGY (2002)
Share Paper
