Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative Trait Loci Associated with Stress-Responsive Traits in Cotton
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Jeffrey W. White | R. J. Strand | A. French | Elodie Gazave | M. Gore | K. Thorp | T. Setter | D. Hunsaker | A. Lipka | R. Strand | A. Carmo-Silva | Pedro Andrade-Sanchez | J. Heun | D. Pauli | Sam Wang | J. White
[1] R. Wolfinger,et al. SAS for Mixed Models , 2018 .
[2] Don C. Jones,et al. Genetic Variation for Agronomic and Fiber Quality Traits in a Population Derived from High‐Quality Cotton Germplasm , 2016 .
[3] Pedro Andrade-Sanchez,et al. Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics , 2015, Comput. Electron. Agric..
[4] Jiankang Wang,et al. Inclusive Composite Interval Mapping of QTL by Environment Interactions in Biparental Populations , 2015, PloS one.
[5] Lei Fang,et al. Sequencing of allotetraploid cotton (Gossypium hirsutum L. acc. TM-1) provides a resource for fiber improvement , 2015, Nature Biotechnology.
[6] K. Alheit,et al. Adult Plant Development in Triticale (× Triticosecale Wittmack) Is Controlled by Dynamic Genetic Patterns of Regulation , 2014, G3: Genes, Genomes, Genetics.
[7] I. Abdurakhmonov,et al. Cotton Germplasm Collection of Uzbekistan , 2014 .
[8] M. Gore,et al. Linkage Map Construction and Quantitative Trait Locus Analysis of Agronomic and Fiber Quality Traits in Cotton , 2014 .
[9] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[10] M. Gore,et al. Challenges and Perspectives on Improving Heat and Drought Stress Resilience in Cotton , 2014, Journal of Cotton Science.
[11] J. Araus,et al. Field high-throughput phenotyping: the new crop breeding frontier. , 2014, Trends in plant science.
[12] M. Gore,et al. Genetic diversity and population structure in the US Upland cotton (Gossypium hirsutum L.) , 2013, Theoretical and Applied Genetics.
[13] J. Reif,et al. Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation , 2013, Scientific Reports.
[14] D. Mulla. Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps , 2013 .
[15] Jeffrey W. White,et al. Development and evaluation of a field-based high-throughput phenotyping platform. , 2013, Functional plant biology : FPB.
[16] A. French,et al. Decreased CO2 availability and inactivation of Rubisco limit photosynthesis in cotton plants under heat and drought stress in the field , 2012 .
[17] Jeffrey W. White,et al. Field-based phenomics for plant genetics research , 2012 .
[18] M. Salvucci,et al. The temperature response of CO2 assimilation, photochemical activities and Rubisco activation in Camelina sativa, a potential bioenergy crop with limited capacity for acclimation to heat stress , 2012, Planta.
[19] Kelly R. Thorp,et al. Association of Spectral Reflectance Indices with Plant Growth and Lint Yield in Upland Cotton , 2012 .
[20] M. Gore,et al. Registration of the TM-1/NM24016 Cotton Recombinant Inbred Mapping Population , 2012 .
[21] R. J. Strand,et al. ield-based phenomics for plant genetics research , 2012 .
[22] M. Tester,et al. Phenomics--technologies to relieve the phenotyping bottleneck. , 2011, Trends in plant science.
[23] M. Blaxter,et al. Genome-wide genetic marker discovery and genotyping using next-generation sequencing , 2011, Nature Reviews Genetics.
[24] M. Gore,et al. Genetic association mapping identifies single nucleotide polymorphisms in genes that affect abscisic acid levels in maize floral tissues during drought , 2010, Journal of experimental botany.
[25] R. Allen,et al. Abiotic StreSS And cotton Fiber development , 2011 .
[26] D. Oosterhuis,et al. HIGH TEMPERATURE STRESS ON FLORAL DEVELOPMENT AND YIELD OF COTTON 3 EFFECTS OF HIGH TEMPERATURE ON PLANT GROWTH AND , 2011 .
[27] J. Holland,et al. Estimating and Interpreting Heritability for Plant Breeding: An Update , 2010 .
[28] J. Stewart,et al. Physiology of cotton , 2010 .
[29] D. F. Wanjura,et al. Plant Responses to Temperature Extremes , 2010 .
[30] W. Chow,et al. Leaf Wilting Movement Can Protect Water-Stressed Cotton (Gossypium hirsutum L.) Plants Against Photoinhibition of Photosynthesis and Maintain Carbon Assimilation in the Field , 2010, Journal of Plant Biology.
[31] Ning Ma,et al. BLAST+: architecture and applications , 2009, BMC Bioinformatics.
[32] W. Schlenker,et al. Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change , 2009, Proceedings of the National Academy of Sciences.
[33] Jian Huang,et al. Regularized gene selection in cancer microarray meta-analysis , 2009, BMC Bioinformatics.
[34] MARTI J. ANDERSONa,et al. PERMUTATION TESTS FOR MULTIFACTORIAL ANALYSIS OF VARIANCE , 2008 .
[35] Guoyou Ye,et al. A Modified Algorithm for the Improvement of Composite Interval Mapping , 2007, Genetics.
[36] J. Woolliams,et al. What is Genetic Diversity , 2007 .
[37] Jinfa F. Zhang,et al. Genetic variation for agronomic and fiber properties in an introgressed recombinant inbred population of cotton , 2006 .
[38] R. Wu,et al. Functional mapping — how to map and study the genetic architecture of dynamic complex traits , 2006, Nature Reviews Genetics.
[39] J. Cushman,et al. The Arabidopsis AtDi19 Gene Family Encodes a Novel Type of Cys2/His2 Zinc-finger Protein Implicated in ABA-independent Dehydration, High-salinity Stress and Light Signaling Pathways , 2006, Plant Molecular Biology.
[40] Glenn J. Fitzgerald,et al. COTTON IRRIGATION SCHEDULING USING REMOTELY SENSED AND FAO-56 BASAL CROP COEFFICIENTS , 2005 .
[41] G. D. FarquharA,et al. On the Relationship between Carbon Isotope Discrimination and the Intercellular Carbon Dioxide Concentration in Leaves , 2005 .
[42] I. M. Scotford,et al. Estimating Tiller Density and Leaf Area Index of Winter Wheat using Spectral Reflectance and Ultrasonic Sensing Techniques , 2004 .
[43] Mark E. Cooper,et al. Improving drought tolerance in maize: a view from industry , 2004 .
[44] S. Kim,et al. ABF2, an ABRE-binding bZIP factor, is an essential component of glucose signaling and its overexpression affects multiple stress tolerance. , 2004, The Plant journal : for cell and molecular biology.
[45] W. Pettigrew,et al. Moisture deficit effects on cotton lint yield, yield components, and boll distribution , 2004 .
[46] Shizhong Xu,et al. Theoretical basis of the Beavis effect. , 2003, Genetics.
[47] Joshua A. Udall,et al. Breeding for Quantitative Traits in Plants , 2003 .
[48] J. Pereira,et al. Understanding plant responses to drought - from genes to the whole plant. , 2003, Functional plant biology : FPB.
[49] Marti J. Anderson,et al. Permutation tests for multi-factorial analysis of variance , 2003 .
[50] R. Mittler,et al. The Combined Effect of Drought Stress and Heat Shock on Gene Expression in Tobacco1 , 2002, Plant Physiology.
[51] Soo Young Kim,et al. Arabidopsis Basic Leucine Zipper Proteins That Mediate Stress-Responsive Abscisic Acid Signaling Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.010362. , 2002, The Plant Cell Online.
[52] Robin Thompson,et al. ASREML user guide release 1.0 , 2002 .
[53] T. Setter,et al. Loss of Kernel Set Due to Water Deficit and Shade in Maize , 2001 .
[54] J. R. Scotti,et al. Available From , 1973 .
[55] R. A. Fischer,et al. Wheat Yield Progress Associated with Higher Stomatal Conductance and Photosynthetic Rate, and Cooler Canopies , 1998 .
[56] L. S. Pereira,et al. Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .
[57] M. Kenward,et al. Small sample inference for fixed effects from restricted maximum likelihood. , 1997, Biometrics.
[58] R. Doerge,et al. Empirical threshold values for quantitative trait mapping. , 1994, Genetics.
[59] R. Percy,et al. Genetic variability for stomatal conductance in Pima cotton and its relation to improvements of heat adaptation. , 1994, Proceedings of the National Academy of Sciences of the United States of America.
[60] H. Griffiths. Carbon isotope discrimination , 1993 .
[61] J. Ehleringer,et al. Carbon Isotope Discrimination and Photosynthesis , 1989 .
[62] James R. Ehleringer,et al. Solar tracking and photosynthesis in cotton leaves , 1987 .
[63] W. W. Muir,et al. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1980 .
[64] R. Ackerson. Stomatal response of cotton to water stress and abscisic Acid as affected by water stress history. , 1980, Plant physiology.
[65] Citibank. Monthly economic letter , 1976 .
[66] V. Barnett,et al. Applied Linear Statistical Models , 1975 .
[67] A.R.G. Lang,et al. Leaf orientation of a cotton plant , 1973 .
[68] A. Galston. Plant Physiology , 1967, Nature.