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Microbial-Based Biopesticides

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Attention for Chapter 6: Production of Conidia by the Fungus Metarhizium anisopliae Using Solid-State Fermentation
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Chapter title
Production of Conidia by the Fungus Metarhizium anisopliae Using Solid-State Fermentation
Chapter number 6
Book title
Microbial-Based Biopesticides
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6367-6_6
Pubmed ID
Book ISBNs
978-1-4939-6365-2, 978-1-4939-6367-6
Authors

Octavio Loera-Corral, Javier Porcayo-Loza, Roberto Montesinos-Matias, Ernesto Favela-Torres

Editors

Travis R. Glare, Maria E. Moran-Diez

Abstract

This chapter describes the production of conidia by Metarhizium anisopliae using solid-state fermentation. Before production of conidia, procedures for strains conservation, reactivation, and propagation are essential in order to provide genetic stability of the strains. The strain is conserved in freeze-dried vials and then reactivated through insect inoculation. Rice is used as a substrate for the conidia production in two different bioreactors: plastic bags and tubular bioreactor. The CO2 production in the tubular bioreactors is measured with a respirometer; this system allows calculating indirect growth parameters as lag time (tlag) (25-35 h), maximum rate of CO2 production (rCO2 max) (0.5-0.7 mg/gdm h), specific rate of CO2 production (μ) (0.10-0.15 1/h), and final CO2 production (CO2) (100-120 mg/gdm). Conidial yield per gram of dry substrate (gdm) should be above 1 × 10(9) conidia/gdm after 10 days of incubation. Germination and viability of conidia obtained after 10 days of incubation should be above 80 % and 75 %, respectively. Bioassays using of Tenebrio molitor as a host insect should yield a final mortality above 80 %.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Professor 3 9%
Researcher 3 9%
Student > Ph. D. Student 3 9%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 12 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 36%
Biochemistry, Genetics and Molecular Biology 3 9%
Environmental Science 2 6%
Immunology and Microbiology 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Other 0 0%
Unknown 13 39%