Enhancing Upland cotton for drought resilience, productivity, and fiber quality: comparative evaluation and genetic dissection
暂无分享,去创建一个
[1] J. Ferguson. Climate change and abiotic stress mechanisms in plants. , 2019, Emerging topics in life sciences.
[2] M. O’Connell,et al. Progress and perspective on drought and salt stress tolerance in cotton , 2019, Industrial Crops and Products.
[3] M. Ulloa,et al. Assessment of Cotton Leaf and Yield Responses to Water-Deficit Stress During Flowering and Boll Development , 2019, Journal of Cotton Science.
[4] Venugopal Mendu,et al. Irrigation’s effect and applied selection on the fiber quality of Ethyl MethaneSulfonate (EMS) treated upland cotton (Gossypium hirsutum L.) , 2018, Journal of Cotton Research.
[5] Jing-xia Zhang,et al. Identification of Introgressed Alleles Conferring High Fiber Quality Derived From Gossypium barbadense L. in Secondary Mapping Populations of G. hirsutum L. , 2018, Front. Plant Sci..
[6] Venugopal Mendu,et al. Exploring ethyl methanesulfonate (EMS) treated cotton (Gossypium hirsutum L.) to improve drought tolerance , 2018, Euphytica.
[7] F. Landerer,et al. Emerging trends in global freshwater availability , 2018, Nature.
[8] Ruiqiang Li,et al. Resequencing a core collection of upland cotton identifies genomic variation and loci influencing fiber quality and yield , 2018, Nature Genetics.
[9] Ying Sun,et al. Genetic Map Construction and Fiber Quality QTL Mapping Using the CottonSNP80K Array in Upland Cotton , 2018, Front. Plant Sci..
[10] Maojun Wang,et al. A global survey of alternative splicing in allopolyploid cotton: landscape, complexity and regulation. , 2018, The New phytologist.
[11] Yanpeng Zhao,et al. QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton , 2017, Front. Plant Sci..
[12] D. Stelly,et al. Insights Into Upland Cotton (Gossypium hirsutum L.) Genetic Recombination Based on 3 High-Density Single-Nucleotide Polymorphism and a Consensus Map Developed Independently With Common Parents , 2017, Genomics insights.
[13] Mingzhou Song,et al. A meta-analysis of quantitative trait loci for abiotic and biotic stress resistance in tetraploid cotton , 2017, Molecular Genetics and Genomics.
[14] Caiying Zhang,et al. Genome‐wide association study discovered genetic variation and candidate genes of fibre quality traits in Gossypium hirsutum L. , 2017, Plant biotechnology journal.
[15] H. Rashid,et al. Construction of a High-Density Genetic Map and Its Application to QTL Identification for Fiber Strength in Upland Cotton , 2017 .
[16] M. Ulloa,et al. Stress Responses of Commercial Cotton Cultivars to Reduced Irrigation at Flowering and Maximization of Yields under Sub-Optimal Subsurface Drip Irrigation , 2017, Journal of Cotton Science.
[17] P. Fryxell. Taxonomy and Germplasm Resources , 2016 .
[18] Zhongxu Lin,et al. Identification of QTL for Fiber Quality and Yield Traits Using Two Immortalized Backcross Populations in Upland Cotton , 2016, PloS one.
[19] M. Ulloa,et al. SNP Marker Discovery in Pima Cotton (Gossypium barbadense L.) Leaf Transcriptomes , 2016, Genomics insights.
[20] Q. He,et al. Genome-Wide SNP Linkage Mapping and QTL Analysis for Fiber Quality and Yield Traits in the Upland Cotton Recombinant Inbred Lines Population , 2016, Front. Plant Sci..
[21] Xiaocui Wang,et al. Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton , 2016, G3: Genes, Genomes, Genetics.
[22] Yuzhen Shi,et al. Identification of stable quantitative trait loci (QTLs) for fiber quality traits across multiple environments in Gossypium hirsutum recombinant inbred line population , 2016, BMC Genomics.
[23] P. Li,et al. Mapping by sequencing in cotton (Gossypium hirsutum) line MD52ne identified candidate genes for fiber strength and its related quality attributes , 2016, Theoretical and Applied Genetics.
[24] L. Zeng,et al. Mapping by sequencing in cotton (Gossypium hirsutum) line MD52ne identified candidate genes for fiber strength and its related quality attributes , 2016, Theoretical and Applied Genetics.
[25] Zhongxu Lin,et al. QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments , 2015, PloS one.
[26] Don C. Jones,et al. Development of a 63K SNP Array for Cotton and High-Density Mapping of Intraspecific and Interspecific Populations of Gossypium spp. , 2015, G3: Genes, Genomes, Genetics.
[27] Lei Fang,et al. Sequencing of allotetraploid cotton (Gossypium hirsutum L. acc. TM-1) provides a resource for fiber improvement , 2015, Nature Biotechnology.
[28] Mingzhou Song,et al. Cotton QTLdb: a cotton QTL database for QTL analysis, visualization, and comparison between Gossypium hirsutum and G. hirsutum × G. barbadense populations , 2015, Molecular Genetics and Genomics.
[29] J. Bailey-Serres,et al. Genetic mechanisms of abiotic stress tolerance that translate to crop yield stability , 2015, Nature Reviews Genetics.
[30] Zhongxu Lin,et al. A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations , 2015, Molecular Genetics and Genomics.
[31] John Z. Yu,et al. Mapping genomic loci for cotton plant architecture, yield components, and fiber properties in an interspecific (Gossypium hirsutum L. × G. barbadense L.) RIL population , 2014, Molecular Genetics and Genomics.
[32] M. Ulloa. The Diploid D Genome Cottons (Gossypium spp.) of the New World , 2014 .
[33] Yabing Li,et al. Optimizing Irrigation and Plant Density for Improved Cotton Yield and Fiber Quality , 2014 .
[34] J. Jenkins,et al. Quantitative trait loci analysis of fiber quality traits using a random-mated recombinant inbred population in Upland cotton (Gossypium hirsutum L.) , 2014, BMC Genomics.
[35] J. Wendel,et al. Molecular confirmation of species status for the allopolyploid cotton species, Gossypium ekmanianum Wittmack , 2014, Genetic Resources and Crop Evolution.
[36] Zhongxu Lin,et al. A comprehensive meta QTL analysis for fiber quality, yield, yield related and morphological traits, drought tolerance, and disease resistance in tetraploid cotton , 2013, BMC Genomics.
[37] N. Rajan,et al. Multiple Irrigation Levels Affect Boll Distribution, Yield, and Fiber Micronaire in Cotton , 2013 .
[38] S. Palle,et al. RNAi-mediated Ultra-low gossypol cottonseed trait: performance of transgenic lines under field conditions. , 2013, Plant biotechnology journal.
[39] UlloaMauricio,et al. Genetic diversity and population structure of cotton (Gossypium spp.) of the New World assessed by SSR markers , 2013 .
[40] Adi Doron-Faigenboim,et al. Ecology, Evolution and Organismal Biology Publications Ecology, Evolution and Organismal Biology Repeated Polyploidization of Gossypium Genomes and the Evolution of Spinnable Cotton Fibres , 2022 .
[41] Steven L Salzberg,et al. Fast gapped-read alignment with Bowtie 2 , 2012, Nature Methods.
[42] John Z. Yu,et al. A High-Density Simple Sequence Repeat and Single Nucleotide Polymorphism Genetic Map of the Tetraploid Cotton Genome , 2012, G3: Genes | Genomes | Genetics.
[43] Seth C. Murray,et al. Plant breeding for harmony between agriculture and the environment , 2011 .
[44] J. Burke. Chapter 2 COTTON FLOWERS : POLLEN AND PETAL HUMIDITY SENSITIVITIES DETERMINE REPRODUCTIVE COMPETITIVENESS IN DIVERSE ENVIRONMENTS , 2011 .
[45] A. Hoekstra,et al. The green, blue and grey water footprint of crops and derived crops products , 2011 .
[46] Zhongxu Lin,et al. Genome structure of cotton revealed by a genome-wide SSR genetic map constructed from a BC1 population between gossypium hirsutum and G. barbadense , 2011, BMC Genomics.
[47] M. Giband,et al. Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population , 2010, BMC Plant Biology.
[48] Ning Ma,et al. BLAST+: architecture and applications , 2009, BMC Bioinformatics.
[49] Glen L. Ritchie,et al. Subsurface Drip and Overhead Irrigation: A Comparison of Plant Boll Distribution in Upland Cotton , 2009 .
[50] Stephen J O'Brien,et al. Every genome sequence needs a good map. , 2009, Genome research.
[51] J. Lacape,et al. A new interspecific, Gossypium hirsutum × G. barbadense, RIL population: towards a unified consensus linkage map of tetraploid cotton , 2009, Theoretical and Applied Genetics.
[52] P. Bauer,et al. A Comparison of Two Cotton Cultivars Differing in Maturity for Within-Canopy Fiber Property Variation , 2009 .
[53] J. Stewart,et al. Evolution and natural history of the cotton genus. , 2009 .
[54] Xavier Draye,et al. Meta-analysis of Polyploid Cotton QTL Shows Unequal Contributions of Subgenomes to a Complex Network of Genes and Gene Clusters Implicated in Lint Fiber Development , 2007, Genetics.
[55] Tianzhen Zhang,et al. A Microsatellite-Based, Gene-Rich Linkage Map Reveals Genome Structure, Function and Evolution in Gossypium , 2007, Genetics.
[56] J. Burke. Evaluation of Source Leaf Responses to Water-Deficit Stresses in Cotton Using a Novel Stress Bioassay1[OA] , 2006, Plant Physiology.
[57] J. Ooijen,et al. JoinMap® 4, Software for the calculation of genetic linkage maps in experimental populations , 2006 .
[58] D. Stelly,et al. Chromosomal assignment of RFLP linkage groups harboring important QTLs on an intraspecific cotton (Gossypium hirsutum L.) Joinmap. , 2005, The Journal of heredity.
[59] W. Pettigrew,et al. Moisture deficit effects on cotton lint yield, yield components, and boll distribution , 2004 .
[60] D. Knauft. Cotton: Origin, History, Technology, and Production , 2003 .
[61] J. Wendel,et al. Polyploidy and the Evolutionary History of Cotton , 2003 .
[62] A. Paterson,et al. QTL analysis of genotype × environment interactions affecting cotton fiber quality , 2003, Theoretical and Applied Genetics.
[63] R. Voorrips. MapChart: software for the graphical presentation of linkage maps and QTLs. , 2002, The Journal of heredity.
[64] Rosalind J Wright,et al. Genomic dissection of genotype x environment interactions conferring adaptation of cotton to arid conditions. , 2001, Genome research.
[65] S. Senseman,et al. Drought-induced Changes in Shoot and Root Growth of Young Cotton Plants , 1999 .
[66] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[67] R. Doerge,et al. Empirical threshold values for quantitative trait mapping. , 1994, Genetics.
[68] Cedric A. B. Smith,et al. Introduction to Quantitative Genetics , 1960 .
[69] J. Beasley. Meiotic Chromosome Behavior in Species, Species Hybrids, Haploids, and Induced Polyploids of Gossypium. , 1942, Genetics.