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Plant Physiology and Biochemistry : PPB
|
May 1, 2007
Recovering from iron deficiency chlorosis in near-isogenic soybeans: a microarray study
Jamie A O'Rourke, Michelle A Graham, Lila Vodkin, et al.
Genome
|
October 23, 2004
Mining EST databases to resolve evolutionary events in major crop species
Jessica A Schlueter, Phillip Dixon, Cheryl Granger, et al.
Plant Physiology
|
April 13, 2005
Legumes as a model plant family. Genomics for food and feed report of the Cross-Legume Advances Through Genomics Conference
Paul Gepts, William D Beavis, E Charles Brummer, et al.
Frontiers in Plant Science
|
May 1, 2013
Genomic heterogeneity and structural variation in soybean near isogenic lines
Adrian O Stec, Pudota B Bhaskar, Yung-Tsi Bolon, et al.
BMC Genomics
|
August 24, 2014
Identification of candidate genes involved in early iron deficiency chlorosis signaling in soybean (Glycine max) roots and leaves
Adrienne N Moran Lauter, Gregory A Peiffer, Tengfei Yin, et al.
The Plant Journal : for Cell and Molecular Biology
|
June 8, 2010
Evolutionary conservation, diversity and specificity of LTR-retrotransposons in flowering plants: insights from genome-wide analysis and multi-specific comparison
Jianchang Du, Zhixi Tian, Christian S Hans, et al.
Genetics
|
May 10, 2005
Pericentromeric regions of soybean (Glycine max L. Merr.) chromosomes consist of retroelements and tandemly repeated DNA and are structurally and evolutionarily labile
Jer-Young Lin, Barbara Hass Jacobus, Phillip SanMiguel, et al.
Genetics
|
February 9, 2007
Highly variable patterns of linkage disequilibrium in multiple soybean populations
David L Hyten, Ik-Young Choi, Qijian Song, et al.
Genome
|
April 3, 2004
Soybean bacterial artificial chromosome contigs anchored with RFLPs: insights into genome duplication and gene clustering
Joann Mudge, Yan Huihuang, Roxanne L Denny, et al.
BMC Genomics
|
August 15, 2009
Integrating microarray analysis and the soybean genome to understand the soybeans iron deficiency response
Jamie A O'Rourke, Rex T Nelson, David Grant, et al.
Page
of 6
Search research articles
Search
Showing results (21-30 of 51) with videos related to
Sort By:
Page
of 6
Plant Physiology and Biochemistry : PPB
|
May 1, 2007
Recovering from iron deficiency chlorosis in near-isogenic soybeans: a microarray study
Jamie A O'Rourke, Michelle A Graham, Lila Vodkin, et al.
Genome
|
October 23, 2004
Mining EST databases to resolve evolutionary events in major crop species
Jessica A Schlueter, Phillip Dixon, Cheryl Granger, et al.
Plant Physiology
|
April 13, 2005
Legumes as a model plant family. Genomics for food and feed report of the Cross-Legume Advances Through Genomics Conference
Paul Gepts, William D Beavis, E Charles Brummer, et al.
Frontiers in Plant Science
|
May 1, 2013
Genomic heterogeneity and structural variation in soybean near isogenic lines
Adrian O Stec, Pudota B Bhaskar, Yung-Tsi Bolon, et al.
BMC Genomics
|
August 24, 2014
Identification of candidate genes involved in early iron deficiency chlorosis signaling in soybean (Glycine max) roots and leaves
Adrienne N Moran Lauter, Gregory A Peiffer, Tengfei Yin, et al.
The Plant Journal : for Cell and Molecular Biology
|
June 8, 2010
Evolutionary conservation, diversity and specificity of LTR-retrotransposons in flowering plants: insights from genome-wide analysis and multi-specific comparison
Jianchang Du, Zhixi Tian, Christian S Hans, et al.
Genetics
|
May 10, 2005
Pericentromeric regions of soybean (Glycine max L. Merr.) chromosomes consist of retroelements and tandemly repeated DNA and are structurally and evolutionarily labile
Jer-Young Lin, Barbara Hass Jacobus, Phillip SanMiguel, et al.
Genetics
|
February 9, 2007
Highly variable patterns of linkage disequilibrium in multiple soybean populations
David L Hyten, Ik-Young Choi, Qijian Song, et al.
Genome
|
April 3, 2004
Soybean bacterial artificial chromosome contigs anchored with RFLPs: insights into genome duplication and gene clustering
Joann Mudge, Yan Huihuang, Roxanne L Denny, et al.
BMC Genomics
|
August 15, 2009
Integrating microarray analysis and the soybean genome to understand the soybeans iron deficiency response
Jamie A O'Rourke, Rex T Nelson, David Grant, et al.
Page
of 6