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Judith Burstin

Showing results (21-30 of 47) with videos related to

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Frontiers in Microbiology|June 15, 2021
Rhizosphere Bacterial Networks, but Not Diversity, Are Impacted by Pea-Wheat IntercroppingBarbara Pivato, Amélie Semblat, Thibault Guégan, et al.
Proteomics|March 25, 2011
A PQL (protein quantity loci) analysis of mature pea seed proteins identifies loci determining seed protein compositionMichael Bourgeois, Françoise Jacquin, Florence Cassecuelle, et al.
Plant Physiology|February 17, 2017
<i>EARLY FLOWERING3</i> Redundancy Fine-Tunes Photoperiod SensitivityAndrew J S Rubenach, Valérie Hecht, Jacqueline K Vander Schoor, et al.
The Plant Cell|September 28, 2016
Identification of LATE BLOOMER2 as a CYCLING DOF FACTOR Homolog Reveals Conserved and Divergent Features of the Flowering Response to Photoperiod in PeaStephen Ridge, Frances C Sussmilch, Valérie Hecht, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|April 4, 2014
QTL analysis of frost damage in pea suggests different mechanisms involved in frost toleranceAnthony Klein, Hervé Houtin, Céline Rond, et al.
Frontiers in Plant Science|November 7, 2022
A QTL approach in faba bean highlights the conservation of genetic control of frost tolerance among legume speciesEstefanía Carrillo-Perdomo, Jean-Bernard Magnin-Robert, Blandine Raffiot, et al.
Plant Physiology|April 26, 2022
MtEFD and MtEFD2: Two transcription factors with distinct neofunctionalization in symbiotic nodule developmentMarie-Françoise Jardinaud, Justine Fromentin, Marie-Christine Auriac, et al.
G3 (Bethesda, Md.)|March 3, 2012
Translational Genomics in Legumes Allowed Placing In Silico 5460 Unigenes on the Pea Functional Map and Identified Candidate Genes in Pisum sativum LAmandine Bordat, Vincent Savois, Marie Nicolas, et al.
Genome Biology|February 28, 2008
UTILLdb, a Pisum sativum in silico forward and reverse genetics toolMarion Dalmais, Julien Schmidt, Christine Le Signor, et al.
Frontiers in Plant Science|December 5, 2015
Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction AccuracyNadim Tayeh, Anthony Klein, Marie-Christine Le Paslier, et al.
Pageof 5

Showing results (21-30 of 47) with videos related to

Sort By:
Pageof 5
Frontiers in Microbiology|June 15, 2021
Rhizosphere Bacterial Networks, but Not Diversity, Are Impacted by Pea-Wheat IntercroppingBarbara Pivato, Amélie Semblat, Thibault Guégan, et al.
Proteomics|March 25, 2011
A PQL (protein quantity loci) analysis of mature pea seed proteins identifies loci determining seed protein compositionMichael Bourgeois, Françoise Jacquin, Florence Cassecuelle, et al.
Plant Physiology|February 17, 2017
<i>EARLY FLOWERING3</i> Redundancy Fine-Tunes Photoperiod SensitivityAndrew J S Rubenach, Valérie Hecht, Jacqueline K Vander Schoor, et al.
The Plant Cell|September 28, 2016
Identification of LATE BLOOMER2 as a CYCLING DOF FACTOR Homolog Reveals Conserved and Divergent Features of the Flowering Response to Photoperiod in PeaStephen Ridge, Frances C Sussmilch, Valérie Hecht, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|April 4, 2014
QTL analysis of frost damage in pea suggests different mechanisms involved in frost toleranceAnthony Klein, Hervé Houtin, Céline Rond, et al.
Frontiers in Plant Science|November 7, 2022
A QTL approach in faba bean highlights the conservation of genetic control of frost tolerance among legume speciesEstefanía Carrillo-Perdomo, Jean-Bernard Magnin-Robert, Blandine Raffiot, et al.
Plant Physiology|April 26, 2022
MtEFD and MtEFD2: Two transcription factors with distinct neofunctionalization in symbiotic nodule developmentMarie-Françoise Jardinaud, Justine Fromentin, Marie-Christine Auriac, et al.
G3 (Bethesda, Md.)|March 3, 2012
Translational Genomics in Legumes Allowed Placing In Silico 5460 Unigenes on the Pea Functional Map and Identified Candidate Genes in Pisum sativum LAmandine Bordat, Vincent Savois, Marie Nicolas, et al.
Genome Biology|February 28, 2008
UTILLdb, a Pisum sativum in silico forward and reverse genetics toolMarion Dalmais, Julien Schmidt, Christine Le Signor, et al.
Frontiers in Plant Science|December 5, 2015
Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction AccuracyNadim Tayeh, Anthony Klein, Marie-Christine Le Paslier, et al.
Pageof 5