Genomics-based approaches to improve drought tolerance of crops.
暂无分享,去创建一个
[1] E. Grotewold. Plant metabolic diversity: a regulatory perspective. , 2005, Trends in plant science.
[2] Yuval Eshed,et al. A genomic library of Lycopersicon pennellii in L. esculentum: A tool for fine mapping of genes , 2004, Euphytica.
[3] P. Klein,et al. Sorghum bicolor’s Transcriptome Response to Dehydration, High Salinity and ABA , 2005, Plant Molecular Biology.
[4] Zhikang Li,et al. QTL mapping of root traits in a doubled haploid population from a cross between upland and lowland japonica rice in three environments , 2005, Theoretical and Applied Genetics.
[5] R. Varshney,et al. Genomics-assisted breeding for crop improvement. , 2005, Trends in plant science.
[6] B. Courtois,et al. Locating QTLs controlling constitutive root traits in the rice population IAC 165 × Co39 , 2003, Euphytica.
[7] S. Salvi,et al. QTLs and Genes for Tolerance to Abiotic Stress in Cereals , 2004 .
[8] Xinyou Yin,et al. Role of crop physiology in predicting gene-to-phenotype relationships. , 2004, Trends in plant science.
[9] R. Dean,et al. Sorghum Expressed Sequence Tags Identify Signature Genes for Drought, Pathogenesis, and Skotomorphogenesis from a Milestone Set of 16,801 Unique Transcripts1[w] , 2005, Plant Physiology.
[10] Kirk A. Stowe,et al. Identification and characterization of QTL underlying whole‐plant physiology in Arabidopsis thaliana: δ13C, stomatal conductance and transpiration efficiency , 2005 .
[11] Hur-Song Chang,et al. Expression profiling of rice segregating for drought tolerance QTLs using a rice genome array , 2005, Functional & Integrative Genomics.
[12] Manjit S. Kang,et al. Quantitative genetics, genomics and plant breeding , 2001 .
[13] S. Salvi,et al. To clone or not to clone plant QTLs: present and future challenges. , 2005, Trends in plant science.
[14] R. Mittler,et al. Abiotic stress, the field environment and stress combination. , 2006, Trends in plant science.
[15] J. Boyer,et al. Sugar-responsive gene expression, invertase activity, and senescence in aborting maize ovaries at low water potentials. , 2004, Annals of botany.
[16] Zhikang Li,et al. Mapping osmotic adjustment in an advanced back-cross inbred population of rice , 2003, Theoretical and Applied Genetics.
[17] Qifa Zhang,et al. How Can We Use Genomics to Improve Cereals with Rice as a Reference Genome? , 2005, Plant Molecular Biology.
[18] Mark A. Bacon,et al. Water use efficiency in plant biology , 2004 .
[19] M. F. Bransby,et al. Root responses to soil physical conditions; growth dynamics from field to cell. , 2006, Journal of experimental botany.
[20] J. Zhang,et al. Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions , 2002, Theoretical and Applied Genetics.
[21] F. V. van Eeuwijk,et al. QTL analysis and QTL-based prediction of flowering phenology in recombinant inbred lines of barley. , 2005, Journal of experimental botany.
[22] Woong June Park,et al. From weeds to crops: genetic analysis of root development in cereals. , 2004, Trends in plant science.
[23] H. Griffiths,et al. Linking drought-resistance mechanisms to drought avoidance in upland rice using a QTL approach: progress and new opportunities to integrate stomatal and mesophyll responses. , 2002, Journal of experimental botany.
[24] S. Henikoff,et al. Efficient discovery of DNA polymorphisms in natural populations by Ecotilling. , 2004, The Plant journal : for cell and molecular biology.
[25] S. Komatsu,et al. Proteomic analysis of rice leaf sheath during drought stress. , 2006, Journal of proteome research.
[26] Edward S. Buckler,et al. Dwarf8 polymorphisms associate with variation in flowering time , 2001, Nature Genetics.
[27] S. Salvi,et al. Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize. , 2002, Annals of botany.
[28] H. Nguyen,et al. Saturation mapping of QTL regions and identification of putative candidate genes for drought tolerance in rice , 2004, Molecular Genetics and Genomics.
[29] S. Salvi,et al. QTLs for tolerance to abiotic stresses in maize: present status and prospects , 2005 .
[30] A. Price,et al. Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety , 2006, Theoretical and Applied Genetics.
[31] Junhua Peng,et al. Comparative DNA sequence analysis of wheat and rice genomes. , 2003, Genome research.
[32] M. Bänziger,et al. Use of molecular markers in plant breeding: drought tolerance improvement in tropical maize. , 2001 .
[33] R. Ellis,et al. Identification of Hordeum spontaneum QTL alleles improving field performance of barley grown under rainfed conditions , 2004 .
[34] Kenneth L. McNally,et al. Evaluation of near-isogenic lines of rice introgressed with QTLs for root depth through marker-aided selection , 2001, Theoretical and Applied Genetics.
[35] R. Sylvester-Bradley,et al. Mapping quantitative trait loci for flag leaf senescence as a yield determinant in winter wheat under optimal and drought-stressed environments , 2004, Euphytica.
[36] K. Akiyama,et al. Monitoring expression profiles of Arabidopsis gene expression during rehydration process after dehydration using ca 7000 full-length cDNA microarray. , 2003, The Plant journal : for cell and molecular biology.
[37] S. Tanksley,et al. Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines , 1996, Theoretical and Applied Genetics.
[38] Patrick S Schnable,et al. Laser-capture microdissection, a tool for the global analysis of gene expression in specific plant cell types: identification of genes expressed differentially in epidermal cells or vascular tissues of maize. , 2003, The Plant cell.
[39] Feiyan Liu,et al. Mapping QTLs and candidate genes for rice root traits under different water-supply conditions and comparative analysis across three populations , 2003, Theoretical and Applied Genetics.
[40] S. Ceccarelli,et al. QTLs for agronomic traits in the Mediterranean environment identified in recombinant inbred lines of the cross 'Arta' × H. spontaneum 41-1 , 2003, Theoretical and Applied Genetics.
[41] J. Prioul,et al. Analysis of the Relationships between Growth, Photosynthesis and Carbohydrate Metabolism Using Quantitative Trait Loci (QTLs) in Young Maize Plants Subjected to Water Deprivation , 2005, Molecular Breeding.
[42] C. Calestani,et al. A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring × SQ1 and its use to compare QTLs for grain yield across a range of environments , 2005, Theoretical and Applied Genetics.
[43] K. Shinozaki,et al. Organization of cis-acting regulatory elements in osmotic- and cold-stress-responsive promoters. , 2005, Trends in plant science.
[44] A. Charcosset,et al. Use of trial clustering to study QTL × environment effects for grain yield and related traits in maize , 2004, Theoretical and Applied Genetics.
[45] M. Morgante,et al. Comparative genomic mapping between a 754 kb region flanking DREB1A in Arabidopsis thaliana and maize , 2002, Plant Molecular Biology.
[46] G. Farquhar,et al. The ERECTA gene regulates plant transpiration efficiency in Arabidopsis , 2005, Nature.
[47] T. Rocheford,et al. Dissection of Maize Kernel Composition and Starch Production by Candidate Gene Association , 2004, The Plant Cell Online.
[48] M. Westgate,et al. Grain yields with limited water. , 2004, Journal of experimental botany.
[49] M. Bänziger,et al. Genetic Dissection of Drought Tolerance in Maize: A CASE STUDY , 2004 .
[50] J. Peleman,et al. Breeding by design. , 2003, Trends in plant science.
[51] B. Ghareyazie,et al. A proteomic approach to analyzing drought- and salt-responsiveness in rice , 2002 .
[52] J. Lynch,et al. Mapping of QTLs for lateral root branching and length in maize (Zea mays L.) under differential phosphorus supply , 2005, Theoretical and Applied Genetics.
[53] D. Galbraith,et al. Monitoring large-scale changes in transcript abundance in drought- and salt-stressed barley , 2004, Plant Molecular Biology.
[54] R. E. Sharp,et al. Root growth maintenance during water deficits: physiology to functional genomics. , 2004, Journal of experimental botany.
[55] Thomas Lübberstedt,et al. Functional markers in plants. , 2003, Trends in plant science.
[56] Thomas Girke,et al. Differential mRNA translation contributes to gene regulation under non-stress and dehydration stress conditions in Arabidopsis thaliana. , 2004, The Plant journal : for cell and molecular biology.
[57] B. Courtois,et al. Yield response to water deficit in an upland rice mapping population: associations among traits and genetic markers , 2004, Theoretical and Applied Genetics.
[58] M. Morgante,et al. From plant genomics to breeding practice. , 2003, Current opinion in biotechnology.
[59] C. Haley,et al. Genetical genomics in humans and model organisms. , 2005, Trends in genetics : TIG.
[60] H. Askari,et al. Proteome analysis of sugar beet leaves under drought stress , 2005, Proteomics.
[61] H. Nguyen,et al. Genetic analysis of drought resistance in rice by molecular markers: association between secondary traits and field performance , 2003 .
[62] C. Donald. The breeding of crop ideotypes , 1968, Euphytica.
[63] B. Gill,et al. Cereal genomics: ushering in a brave new world , 2002, Plant Molecular Biology.
[64] Lijun Luo,et al. Correlation analysis and QTL identification for canopy temperature, leaf water potential and spikelet fertility in rice under contrasting moisture regimes , 2005 .
[65] Q. Zhang,et al. The genetic basis of stay-green in rice analyzed in a population of doubled haploid lines derived from an indica by japonica cross , 2004, Theoretical and Applied Genetics.
[66] S. Salvi,et al. Validation and characterization of a major QTL affecting leaf ABA concentration in maize , 2005, Molecular Breeding.
[67] Delphine Vincent,et al. Deciphering genetic variations of proteome responses to water deficit in maize leaves. , 2004, Plant physiology and biochemistry : PPB.
[68] D. Hoisington,et al. Comparative Map and Trait Viewer (CMTV): an integrated bioinformatic tool to construct consensus maps and compare QTL and functional genomics data across genomes and experiments , 2004, Plant Molecular Biology.
[69] F. Feltus,et al. Functional genomics of drought stress response in rice: transcript mapping of annotated unigenes of an indica rice (Oryza sativa L. cv. Nagina 22) , 2005 .
[70] A. Paterson,et al. Genetic dissection of cotton physiological responses to arid conditions and their inter‐relationships with productivity , 2004 .
[71] T. Setter,et al. Comparative Transcriptional Profiling of Placenta and Endosperm in Developing Maize Kernels in Response to Water Deficit1 , 2003, Plant Physiology.
[72] J. Passioura,et al. Review: Environmental biology and crop improvement. , 2002, Functional plant biology : FPB.
[73] L. Barthès,et al. Ivr2, a candidate gene for a QTL of vacuolar invertase activity in maize leaves. Gene-specific expression under water stress , 2004, Plant Molecular Biology.
[74] P. Perez,et al. Improvement of drought tolerance in maize: towards the functional validation of the Zm-Asr1 gene and increase of water use efficiency by over-expressing C4-PEPC. , 2002, Biochimie.
[75] Roberto Tuberosa,et al. Root-ABA1, a major constitutive QTL, affects maize root architecture and leaf ABA concentration at different water regimes. , 2005, Journal of experimental botany.
[76] R. Torres,et al. QTLs for drought escape and tolerance identified in a set of random introgression lines of rice , 2005, Theoretical and Applied Genetics.
[77] M. Sorrells,et al. Identification of drought-inducible genes and differentially expressed sequence tags in barley , 2004, Theoretical and Applied Genetics.
[78] Alain Charcosset,et al. Combining Quantitative Trait Loci Analysis and an Ecophysiological Model to Analyze the Genetic Variability of the Responses of Maize Leaf Growth to Temperature and Water Deficit1 , 2003, Plant Physiology.
[79] Lishuang Shen,et al. Mapping QTLs associated with drought avoidance in upland rice , 2000, Molecular Breeding.
[80] T. Sasaki,et al. Arabidopsis-rice: will colinearity allow gene prediction across the eudicot-monocot divide? , 1999, Genome research.
[81] Henry T. Nguyen,et al. Physiology and biotechnology integration for plant breeding , 2004 .
[82] B. Courtois,et al. Mapping QTLs associated with drought avoidance in upland rice grown in the Philippines and West Africa , 2002, Plant Molecular Biology.
[83] J. Boyer,et al. Stem Infusion of Liquid Culture Medium Prevents Reproductive Failure of Maize at Low Water Potential , 1991 .
[84] Dean W. Podlich,et al. Mapping As You Go , 2004 .