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Frontiers in Plant Science
|
October 5, 2018
Harnessing Phenotypic Plasticity to Improve Maize Yields
Aaron Kusmec, Natalia de Leon, Patrick S Schnable
G3 (Bethesda, Md.)
|
September 29, 2018
Comparing Genome-Wide Association Study Results from Different Measurements of an Underlying Phenotype
Joseph L Gage, Natalia de Leon, Murray K Clayton
Plos One
|
January 9, 2016
Genetic and Quantitative Trait Locus Analysis for Bio-Oil Compounds after Fast Pyrolysis in Maize Cobs
Brandon Jeffrey, Najeeb Kuzhiyil, Natalia de Leon, et al.
Metabolites
|
May 28, 2022
Normalizing and Correcting Variable and Complex LC-MS Metabolomic Data with the R Package pseudoDrift
Jonas Rodriguez, Lina Gomez-Cano, Erich Grotewold, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|
January 11, 2015
Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.)
Jillian M Foerster, Timothy Beissinger, Natalia de Leon, et al.
Physiological Genomics
|
September 21, 2006
Review of microarray experimental design strategies for genetical genomics studies
Guilherme J M Rosa, Natalia de Leon, Artur J M Rosa
G3 (Bethesda, Md.)
|
February 4, 2015
Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize population
Aaron J Lorenz, Timothy M Beissinger, Renato Rodrigues Silva, et al.
Plant Methods
|
April 23, 2015
Image analysis of anatomical traits in stalk transections of maize and other grasses
Sven Heckwolf, Marlies Heckwolf, Shawn M Kaeppler, et al.
Microbial Pathogenesis
|
November 3, 2004
The role of integrase/recombinase xerD and monofunctional biosynthesis peptidoglycan transglycosylase genes in the pathogenicity of Brucella abortus infection in vitro and in vivo
Aurea M O Canavessi, Jerome Harms, Natalia de Leon Gatti, et al.
Frontiers in Plant Science
|
November 5, 2019
Predicting <i>Zea mays</i> Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images
Guosheng Wu, Nathan D Miller, Natalia de Leon, et al.
Page
of 8
Search research articles
Search
Showing results (1-10 of 75) with videos related to
Sort By:
Page
of 8
Frontiers in Plant Science
|
October 5, 2018
Harnessing Phenotypic Plasticity to Improve Maize Yields
Aaron Kusmec, Natalia de Leon, Patrick S Schnable
G3 (Bethesda, Md.)
|
September 29, 2018
Comparing Genome-Wide Association Study Results from Different Measurements of an Underlying Phenotype
Joseph L Gage, Natalia de Leon, Murray K Clayton
Plos One
|
January 9, 2016
Genetic and Quantitative Trait Locus Analysis for Bio-Oil Compounds after Fast Pyrolysis in Maize Cobs
Brandon Jeffrey, Najeeb Kuzhiyil, Natalia de Leon, et al.
Metabolites
|
May 28, 2022
Normalizing and Correcting Variable and Complex LC-MS Metabolomic Data with the R Package pseudoDrift
Jonas Rodriguez, Lina Gomez-Cano, Erich Grotewold, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|
January 11, 2015
Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.)
Jillian M Foerster, Timothy Beissinger, Natalia de Leon, et al.
Physiological Genomics
|
September 21, 2006
Review of microarray experimental design strategies for genetical genomics studies
Guilherme J M Rosa, Natalia de Leon, Artur J M Rosa
G3 (Bethesda, Md.)
|
February 4, 2015
Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize population
Aaron J Lorenz, Timothy M Beissinger, Renato Rodrigues Silva, et al.
Plant Methods
|
April 23, 2015
Image analysis of anatomical traits in stalk transections of maize and other grasses
Sven Heckwolf, Marlies Heckwolf, Shawn M Kaeppler, et al.
Microbial Pathogenesis
|
November 3, 2004
The role of integrase/recombinase xerD and monofunctional biosynthesis peptidoglycan transglycosylase genes in the pathogenicity of Brucella abortus infection in vitro and in vivo
Aurea M O Canavessi, Jerome Harms, Natalia de Leon Gatti, et al.
Frontiers in Plant Science
|
November 5, 2019
Predicting <i>Zea mays</i> Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images
Guosheng Wu, Nathan D Miller, Natalia de Leon, et al.
Page
of 8