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16 Biotechnological Approaches for Pest Management and Ecological Sustainability<br />

adjusting the threshold at specifi c times during the crop growth period, which roughly correspond<br />

to the three phases of an insecticide resistance management strategy (Cox et al., 1991).<br />

The model HEAPS incorporates modules based on adult movement, oviposition, development,<br />

survival, and host phenology, and estimates populations in each of a grid of simulation<br />

units into which a cotton-producing region is divided, taking into account both bollworm<br />

species in cotton as well as in other crops, and noncrop hosts in the region (Dillon and Fitt,<br />

1990). A relatively simple simulation model of H. armigera on pigeonpea has been developed by<br />

Holt, King, and Armes (1990) to optimize insecticide use for the control of susceptible and<br />

resistant larvae of H. armigera on pigeonpea. The driving variable is the fl owering phenology<br />

of the crop, on which oviposition time and survival strongly depend. The optimal time and<br />

application frequency to control the progenies of a wholly immigrant population were most<br />

sensitive to the time and duration of immigration, fl owering time, moth age at immigration,<br />

and the development time of young larvae. Like the other models described, this model is also<br />

highly specifi c to the local ecology of the pest and the cropping system in question.<br />

The IPM Practice<br />

In view of the need to make use of and exploit the existing spectra of natural enemies to<br />

reduce excessive dependence on chemical control, particularly where there is resistance to<br />

insecticides, various IPM programs have been developed in which different control tactics<br />

are combined to suppress pest numbers below a threshold (FAO, 1995; Gopal and<br />

Senguttuvan, 1997). These vary from judicious use of insecticides based on ETLs and regular<br />

scouting to ascertain pest population levels to sophisticated systems, almost exclusively<br />

for cotton, using computerized crop and population models to assess the need, optimum<br />

timing, and selection of insecticides for sprays.<br />

Classical integrated management programs for apple pests in Canada (Pickett and<br />

Patterson, 1953) and for cotton pests in Peru (Dout and Smith, 1971) provided some of the<br />

early models for successful implementation of IPM in the fi eld. The FAO subsequently<br />

provided the coordination to spread the IPM concept in developing countries. The success<br />

of an IPM program in rice in South East Asia (FAO, 1995) was based on linking outbreaks<br />

of the brown planthopper, N. lugens with the application of broad-spectrum insecticides,<br />

and the realization of the fact that the brown planthopper populations were kept under<br />

check by the natural enemies in the absence of insecticide application. Much of the impact<br />

of this program was brought out through fi eld demonstrations, training programs, and<br />

farmers’ fi eld schools. As a result, some of the broad-spectrum insecticides were also<br />

banned in some countries. The success of some of these programs has led to the collaboration<br />

of a global IPM facility under the auspices of FAO, the United Nations Development<br />

Program (UNDP), and the World Bank, which will serve as a coordinating and promoting<br />

entity for IPM worldwide. The establishment of International Agricultural Research<br />

Centers (IARCs) has also contributed signifi cantly to IPM, particularly through the development<br />

and promotion of pest-resistant cultivars worldwide.<br />

Is Genetic Engineering of Plants and Biocontrol Agents an Answer?<br />

The promise of biotechnology as an instrument of development lies in its capacity to<br />

improve the quantity and quality of plants and biocontrol agents quickly and effectively.

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