Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative 1 Trait Loci Associated with Stress-Responsive Traits in Cotton 2 3

[1]  Don C. Jones,et al.  Genetic Variation for Agronomic and Fiber Quality Traits in a Population Derived from High‐Quality Cotton Germplasm , 2016 .

[2]  Jiankang Wang,et al.  Inclusive Composite Interval Mapping of QTL by Environment Interactions in Biparental Populations , 2015, PloS one.

[3]  Jeffrey W. White,et al.  Development and evaluation of a field-based high-throughput phenotyping platform. , 2013, Functional plant biology : FPB.

[4]  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 .

[5]  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.

[6]  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.

[7]  Kelly R. Thorp,et al.  Association of Spectral Reflectance Indices with Plant Growth and Lint Yield in Upland Cotton , 2012 .

[8]  M. Tester,et al.  Phenomics--technologies to relieve the phenotyping bottleneck. , 2011, Trends in plant science.

[9]  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.

[10]  Guoyou Ye,et al.  A Modified Algorithm for the Improvement of Composite Interval Mapping , 2007, Genetics.

[11]  R. Wu,et al.  Functional mapping — how to map and study the genetic architecture of dynamic complex traits , 2006, Nature Reviews Genetics.

[12]  I. M. Scotford,et al.  Estimating Tiller Density and Leaf Area Index of Winter Wheat using Spectral Reflectance and Ultrasonic Sensing Techniques , 2004 .

[13]  W. Pettigrew,et al.  Moisture deficit effects on cotton lint yield, yield components, and boll distribution , 2004 .

[14]  Joshua A. Udall,et al.  Breeding for Quantitative Traits in Plants , 2003 .

[15]  J. Pereira,et al.  Understanding plant responses to drought - from genes to the whole plant. , 2003, Functional plant biology : FPB.

[16]  Marti J. Anderson,et al.  Permutation tests for multi-factorial analysis of variance , 2003 .

[17]  R. Mittler,et al.  The Combined Effect of Drought Stress and Heat Shock on Gene Expression in Tobacco1 , 2002, Plant Physiology.

[18]  T. Setter,et al.  Loss of Kernel Set Due to Water Deficit and Shade in Maize , 2001 .

[19]  M. Kenward,et al.  Small sample inference for fixed effects from restricted maximum likelihood. , 1997, Biometrics.

[20]  R. Doerge,et al.  Empirical threshold values for quantitative trait mapping. , 1994, Genetics.

[21]  R. Ackerson Stomatal response of cotton to water stress and abscisic Acid as affected by water stress history. , 1980, Plant physiology.

[22]  J. Araus,et al.  Field high-throughput phenotyping: the new crop breeding frontier. , 2014, Trends in plant science.

[23]  M. Gore,et al.  Registration of the TM-1/NM24016 Cotton Recombinant Inbred Mapping Population , 2012 .

[24]  R. Allen,et al.  Abiotic StreSS And cotton Fiber development , 2011 .

[25]  MARTI J. ANDERSONa,et al.  PERMUTATION TESTS FOR MULTIFACTORIAL ANALYSIS OF VARIANCE , 2008 .

[26]  M. Krawczak,et al.  Genetic Diversity in the , 2008 .

[27]  H. Griffiths Carbon isotope discrimination , 1993 .

[28]  James R. Ehleringer,et al.  Solar tracking and photosynthesis in cotton leaves , 1987 .

[29]  A.R.G. Lang,et al.  Leaf orientation of a cotton plant , 1973 .