Relevant bibliographies by topics / Maladie de la Sharka

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  1. Journal articles

Academic literature on the topic 'Maladie de la Sharka'

Author: Grafiati
Published: 25 November 2022

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Journal articles on the topic "Maladie de la Sharka"

1

Ravelonandro, Michel. "Des pruniers résistant à la maladie de la sharka." Biofutur 1997, no. 172 (1997): 53–54. http://dx.doi.org/10.1016/s0294-3506(97)89048-5.

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2

Cheung, Verna, Nancy Siddiq, Rebecca Devlin, Caroline McNamara, and Vikas Gupta. "Modèle de soins partagés pour les hémopathies malignes chroniques complexes." Canadian Oncology Nursing Journal 31, no. 2 (2021): 175–85. http://dx.doi.org/10.5737/23688076312175185.

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Les néoplasies myéloprolifératives (NMP) sont des leucémies chroniques rares sans chromosome Philadelphie. L’expertise de cette maladie peu commune est limitée et concentrée dans des centres spécialisés où les patients doivent se rendre pour obtenir confirmation du diagnostic, prendre des décisions complexes, recevoir des soins de soutien et accéder à de nouveaux médicaments par la participation à des essais cliniques. Toutefois, les nombreux déplacements nécessaires pour ces rendez-vous représentent un poids pour les patients; ils augmentent le fardeau financier, accroissent le stress des pro
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3

Iliev, P., A. Stoev, and N. Petrov. "BETWEEN SHARKA AND MONILIA." Acta Horticulturae, no. 899 (June 2011): 171–74. http://dx.doi.org/10.17660/actahortic.2011.899.23.

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4

Rimbaud, Loup, Claude Bruchou, Sylvie Dallot, et al. "Using sensitivity analysis to identify key factors for the propagation of a plant epidemic." Royal Society Open Science 5, no. 1 (2018): 171435. http://dx.doi.org/10.1098/rsos.171435.

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Identifying the key factors underlying the spread of a disease is an essential but challenging prerequisite to design management strategies. To tackle this issue, we propose an approach based on sensitivity analyses of a spatiotemporal stochastic model simulating the spread of a plant epidemic. This work is motivated by the spread of sharka, caused by plum pox virus , in a real landscape. We first carried out a broad-range sensitivity analysis, ignoring any prior information on six epidemiological parameters, to assess their intrinsic influence on model behaviour. A second analysis benefited f
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5

Louro, D., and L. Corvo. "OCCURRENCE OF SHARKA IN PORTUGAL." Acta Horticulturae, no. 193 (November 1986): 183–86. http://dx.doi.org/10.17660/actahortic.1986.193.31.

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6

Hartmann, W., and M. Neumüller. "CONTROL OF SHARKA BY BREEDING." Acta Horticulturae, no. 874 (September 2010): 229–38. http://dx.doi.org/10.17660/actahortic.2010.874.31.

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7

Hartmann, W. "STRATEGY FOR BREEDING SHARKA RESISTANT PLUMS." Acta Horticulturae, no. 478 (October 1998): 31–38. http://dx.doi.org/10.17660/actahortic.1998.478.3.

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8

Ilardi, V., E. Di Nicola-Negri, A. Brunetti, A. Gentile, S. Monticelli, and C. Damiano. "RNA INTERFERENCE FOR SHARKA DISEASE RESISTANCE." Acta Horticulturae, no. 738 (March 2007): 593–99. http://dx.doi.org/10.17660/actahortic.2007.738.77.

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9

Budzanivska, I., L. Usko, A. Gospodaryk, M. Melnyk, and V. Polischuk. "EPIDEMIOLOGY OF SHARKA DISEASE IN UKRAINE." Acta Horticulturae, no. 899 (June 2011): 57–63. http://dx.doi.org/10.17660/actahortic.2011.899.6.

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10

Martínez-Calvo, Jose, Gerardo Llácer, and Maria Luisa Badenes. "‘Moixent’, an Apricot Resistant to Sharka." HortScience 46, no. 4 (2011): 655–56. http://dx.doi.org/10.21273/hortsci.46.4.655.

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