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Selection of alfalfa genotypes for resistance to the foliar pathogen Curvularia geniculata

Overview of attention for article published in Anais da Academia Brasileira de Ciências, September 2017
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Title
Selection of alfalfa genotypes for resistance to the foliar pathogen Curvularia geniculata
Published in
Anais da Academia Brasileira de Ciências, September 2017
DOI 10.1590/0001-3765201720170005
Pubmed ID
Authors

MARIANA R. ÁVILA, MIGUEL DALL’AGNOL, JOSÉ A. MARTINELLI, GERARDA B.P. DA SILVA, CAROLINA BREMM, TAMYRIS NUNES

Abstract

Foliar diseases impose severe restrictions on the persistence and productivity of Medicago sativa, both of which may be increased by developing disease resistant and more competitive genotypes that can improve pasture quality. We found Curvularia geniculata as the principal alfalfa foliar pathogen in the Brazilian state of Rio Grande do Sul (RS). Growth chamber experiments evaluated the resistance of alfalfa genotypes 'E1C4', 'CPPSul', 'ABT 805' and 'CUF-101' to C. geniculata as compared the control 'Crioula' genotype. These genotypes were also evaluated in field trials at a sea level site in Eldorado do Sul in central RS and at two sites £200 m above sea level, one in Bagé municipality in south west RS and the other at a farm near the town of Alto Feliz in north east RS. Plants were spray-inoculated with 1.6 x 106 ml-1 of C. geniculata spores and visually evaluated for leaf damage 14 days later. The C. geniculata infection rates varied from zero to 100%. Alfalfa persistence and forage mean dry mass (DM) production at the Eldorado site were measured during different seasons from November 2013 to January 2015 by calculating the incidence of invasive plants and morphologically separating leaves from stems and calculating both leaf and stem DM. Data were analysed using mixed statistical models. The best results for persistence and forage DM were shown by the 'CPPSul' genotypes (DM = 16,600 kg ha-1) and 'Crioula' (DM = 15,750 kg ha-1). These two genotypes will be used for subsequent investigations and selection cycles.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Ph. D. Student 2 18%
Researcher 1 9%
Professor 1 9%
Unknown 5 45%
Readers by discipline Count As %
Environmental Science 1 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Agricultural and Biological Sciences 1 9%
Computer Science 1 9%
Other 0 0%
Unknown 6 55%