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Chilean Journal of Agricultural Research
Instituto de Investigaciones Agropecuarias, INIA
ISSN: 0718-5820 EISSN: 0718-5820
Vol. 76, No. 4, 2016, pp. 448-454
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Bioline Code: cj16059
Full paper language: English
Document type: Research Article
Document available free of charge
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Chilean Journal of Agricultural Research, Vol. 76, No. 4, 2016, pp. 448-454
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Conditions to optimize mass production of Metarhizium anisopliae (Metschn.) Sorokin 1883 in different substrates
Barra-Bucarei, Lorena; Vergara, Pedro & Cortes, Amparo
Abstract
One of the best alternatives to reduce the amount of chemical
insecticides released into the environment is biological
agents. Metarhizium anisopliae (Metschn.) Sorokin 1883
(Hypocreales: Clavicipitaceae) is an entomopathogenic fungus
with great potential as a biological pesticide to biologically
control pests. However, the relatively high cost of the substrate
needed for its mass production system increases product price
and discourages its use. The objective of this study was to
optimize the mass production conditions of M. anisopliae for
use as a biological control agent using two solid substrates,
new parboiled rice (NPR) and recycled parboiled rice (RPR).
Conidial production was optimized by the response surface
methodology (RSM). The effects of the temperature, time,
and molasses variables and the interactions between them
(conidia g-1) were determined. For the NPR substrate, it
was determined that the significant variables were time and
temperature, and the interactions were temperature × molasses
and temperature × time. For the RPR substrate, the significant
variables were temperature and time, and the interactions
were time × molasses and temperature × time. Both substrates
obtained the highest industrial yields at 25 °C for a period of
20 d. Given that the percentage of molasses was not critical
for yields, it is recommended that it be set at 5% to reduce
costs. Finally, it was possible to use the RPR substrate from
the M. anisopliae produ9ction itself as an alternative to solid
substrate; mean industrial performance (conidia g-1) was
higher than values obtained with NPR and at a lower cost.
Keywords
Biological control; entomopathogenic fungi; mass production; optimization; response surface methodology
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