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	1.	A Computation Method Based on the Combination of Chlorophyll Fluorescence Parameters to Improve the Discrimination of Visually Similar Phenotypes Induced by Bacterial Virulence Factors. [electronic resource] by Méline, Valérian Brin, Chrystelle Lebreton, Guillaume Ledroit, Lydie Sochard, Daniel Hunault, Gilles Boureau, Tristan Belin, Etienne Publication details: Frontiers in plant science 2020 In: Frontiers in plant science vol. 11 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	High throughput phenotyping dataset related to seed and seedling traits of sugar beet genotypes. [electronic resource] by Ducournau, Sylvie Charrier, Aurélie Demilly, Didier Wagner, Marie-Hélène Trigui, Ghassen Dupont, Audrey Hamdy, Sherif Boudehri-Giresse, Karima Le Corre, Laurence Landais, Laurence Delanoue, Angélique Charruaud, Dorothée Henry, Karine Henry, Nicolas Ledroit, Lydie Dürr, Carolyne Publication details: Data in brief Apr 2020 In: Data in brief vol. 29 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	3.	Quantitative trait loci analysis reveals a correlation between the ratio of sucrose/raffinose family oligosaccharides and seed vigour in Medicago truncatula. [electronic resource] by Vandecasteele, Céline Teulat-Merah, Béatrice Morère-Le Paven, Marie-Christine Leprince, Olivier Ly Vu, Benoit Viau, Laure Ledroit, Lydie Pelletier, Sandra Payet, Nicole Satour, Pascale Lebras, Camille Gallardo, Karine Huguet, Thierry Limami, Anis M Prosperi, Jean-Marie Buitink, Julia Producer: 20130821 In: Plant, cell & environment vol. 34 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)