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Abstract
Ecologists study how populations are regulated, while scientists studying biological pest control apply population regulation processes to reduce numbers of harmful organisms: an organism (a natural enemy) is used to reduce the population density of another organism (a pest). Finding an effective biological control agent among the tens to hundreds of natural enemies of a pest is a daunting task. Evaluation criteria help in a first selection to remove clearly ineffective or risky species from the list of candidates. Next, we propose to use an aggregate evaluation criterion, the pest kill rate, to compare the pest population reduction capacity of species not eliminated during the first selection. The pest kill rate is the average daily lifetime killing of the pest by the natural enemy under consideration. Pest kill rates of six species of predators and seven species of parasitoids of Tuta absoluta were calculated and compared. Several natural enemies had pest kill rates that were too low to be able to theoretically reduce the pest population below crop damaging densities. Other species showed a high pest reduction capacity and their potential for practical application can now be tested under commercial crop production conditions.
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Details
1 Wageningen University, Laboratory of Entomology, Wageningen, The Netherlands (GRID:grid.4818.5) (ISNI:0000 0001 0791 5666)
2 University of Bologna, Department of Agricultural and Food Sciences, Bologna, Italy (GRID:grid.6292.f) (ISNI:0000 0004 1757 1758)
3 Wageningen University, Biometris, Department of Mathematical and Statistical Methods, Wageningen, The Netherlands (GRID:grid.4818.5) (ISNI:0000 0001 0791 5666)
4 Federal University of Lavras, Laboratory of Biological Control, Department of Entomology, Lavras, Brazil (GRID:grid.411269.9) (ISNI:0000 0000 8816 9513)
5 Luiz de Queiroz College of Agriculture (USP/ESALQ), Department of Entomology and Acarology, Piracicaba, Brazil (GRID:grid.411269.9)
6 University of Catania, Department of Agriculture, Food and Environment, Catania, Italy (GRID:grid.8158.4) (ISNI:0000 0004 1757 1969)
7 Koppert Spain S.L. Calle Cobre, Research and Development, Almería, Spain (GRID:grid.6292.f)
8 Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Microbiología y Zoología Agrícola (IMYZA), Ituzaingó, Buenos Aires, Argentina (GRID:grid.419231.c) (ISNI:0000 0001 2167 7174)
9 Centro de Estudios Parasitológicos y de Vectores (CEPAVE – CONICET, UNLP and CICPBA), La Plata, Argentina (GRID:grid.419231.c)
10 Luiz de Queiroz College of Agriculture (USP/ESALQ), Department of Entomology and Acarology, Piracicaba, Brazil (GRID:grid.419231.c)
11 International Centre of Insect Physiology and Ecology (icipe), Nairobi, Kenya (GRID:grid.419326.b) (ISNI:0000 0004 1794 5158)
12 Universidad Nacional de Luján y Facultad de Agronomia,, Universidad de Buenos Aires, Departamento de Tecnología, Luján, Argentina (GRID:grid.26089.35) (ISNI:0000 0001 2228 6538); Universidad Nacional de Luján, Programa de Ecología Terrestre, Departamento de Ciencias Básicas e Instituto de Ecología y Desarrollo Sustentable (INEDES), Luján, Argentina (GRID:grid.26089.35) (ISNI:0000 0001 2228 6538)
13 Centro de Estudios Parasitológicos y de Vectores (CEPAVE – CONICET, UNLP and CICPBA), La Plata, Argentina (GRID:grid.26089.35)
14 Instituto Valenciano de Investigaciones Agrarias (IVIA), Centro de Protección Vegetal y Biotecnología, Moncada, Valencia, Spain (GRID:grid.419276.f) (ISNI:0000 0000 9605 0555)