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Bt Brinjal The scope and adequacy of the GEAC environmental risk assessment

Bt Brinjal: The scope and adequacy of the GEAC ... - Down To Earth

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44 <strong>Bt</strong> <strong>Brinjal</strong>: <strong>The</strong> <strong>GEAC</strong> <strong>environmental</strong> <strong>risk</strong> <strong>assessment</strong>In some areas <strong>of</strong> India brinjal is cultivated once a year during <strong>the</strong> rainy season, <strong>and</strong> BFSB can complete up to threegenerations. In o<strong>the</strong>r regions brinjal is cultivated throughout <strong>the</strong> year, <strong>and</strong> BFSB can complete 8 or more generations.We assume that wherever brinjal is grown, <strong>Bt</strong> brinjal will be grown during only one time <strong>of</strong> <strong>the</strong> year, so that only threegenerations <strong>of</strong> BFSB will be exposed to <strong>Bt</strong> brinjal a year. This is probably satisfactory for those regions with singlecropping. For regions where brinjal is grown throughout <strong>the</strong> year, <strong>Bt</strong> brinjal could be grown during two or more seasons.In <strong>the</strong>se cases, <strong>the</strong> time to resistance failure would be projected to occur much sooner. If two crops are grown resistancefailure would occur twice as fast, <strong>and</strong> if three crops are grown, it would occur three times as fast as what we project here.i. Based on <strong>the</strong> results from <strong>the</strong> small-scale field trials (Dossier, volume 6) <strong>and</strong> <strong>the</strong> published literature (Caprio et al. 2000,Meihls et al. 2008, Anilkumar et al. 2008) on o<strong>the</strong>r low dose <strong>Bt</strong> events, we suggest that when resistance is found in BFSB,that it will be partially recessive with heterozygosity (h) between 0.2 <strong>and</strong> 0.4.j. We also assume that <strong>the</strong>re is strong density dependent population growth. This is because larvae are forced to interactin brinjal fruits. This results in a = 6 <strong>and</strong> b = 0.8. <strong>the</strong> stronger <strong>the</strong> density dependence <strong>the</strong> longer <strong>the</strong> time to resistancefailure. However, this effect is minor except in some special cases.k. We assume that per capita fecundity (F) is 100 <strong>of</strong>fspring per female. Although most moths can produce several hundredeggs, this value is used because it counts only one <strong>of</strong> <strong>the</strong> two sexes (<strong>the</strong> females), <strong>and</strong> includes egg mortality <strong>and</strong> o<strong>the</strong>rforms <strong>of</strong> density-independent mortality.l. Finally, we assume that <strong>the</strong> frequency <strong>of</strong> resistance alleles ( p 0) in <strong>the</strong> natural BFSB populations is low, less than one in10,000. This value is lower than most observed initial R allele frequencies for <strong>Bt</strong> resistance. Time to resistance failure islonger for lower values <strong>of</strong> initial resistance frequency.Using <strong>the</strong>se assumptions, we can simulate evolution for two levels <strong>of</strong> adoption <strong>of</strong> <strong>Bt</strong> brinjal (50% adoption <strong>and</strong> 90%adoption), <strong>the</strong> two values <strong>of</strong> heterozygosity, <strong>and</strong> several refuge assumptions. Adoption rate is not for <strong>the</strong> entire country. Becauseevolution will occur locally, adoption is probably related to <strong>the</strong> district level within states, <strong>and</strong> possibly at finer spatial scales. Ingeneral, heterozygosity has large effects on resistance evolution, so we simulated <strong>the</strong> extreme values that are expected for BFSB<strong>and</strong> EE-1 <strong>Bt</strong> brinjal. We simulated no refuge (or 0% compliance), <strong>and</strong> 5, 10, <strong>and</strong> 20% non-<strong>Bt</strong> refuge with 100% compliance.Intermediate levels <strong>of</strong> compliance will produce results intermediate between 0% refuge <strong>and</strong> <strong>the</strong> recommended % refuge.<strong>The</strong> simulations show that resistance is projected to occur rapidly, sometime between 4 <strong>and</strong> 17 years (Fig. 2). <strong>The</strong> precise valuescan be disputed, but a robust conclusion is that under some conditions, resistance failures can occur rapidly (less than 4 years),<strong>and</strong> under o<strong>the</strong>r conditions, it may take many years for resistance failures to show up. Thus, efforts should be taken to ensurethat India is more likely to experience <strong>the</strong> latter conditions than <strong>the</strong> former conditions.This could be difficult. Local adoption rate has <strong>the</strong> largest effect on resistance evolution (Fig. 2). If adoption stays below50% <strong>and</strong> heterozygosity is closer to 0.2 than 0.4, <strong>the</strong>n <strong>Bt</strong> brinjal may last for many years. However, if <strong>Bt</strong> brinjal is truly aseconomically beneficial as projected in EEII <strong>and</strong> <strong>the</strong> Dossier, local adoption rates are likely to be much higher than 50%,<strong>and</strong> <strong>the</strong> resistance <strong>risk</strong> is very high. <strong>The</strong> resistance <strong>risk</strong> is greatest where adoption is highest, so India should pay attention toadoption rate if <strong>Bt</strong> brinjal is commercialised.<strong>The</strong> level <strong>of</strong> heterozygosity has a large effect on <strong>the</strong> rate <strong>of</strong> resistance evolution.Unfortunately, it is not possible to know <strong>the</strong> value for heterozygosity until aresistance allele is discovered in BFSB. Thus, it should be a high researchpriority to discover resistance alleles to EE-1 <strong>Bt</strong> brinjal in BFSB (see below).A 5% refuge has little effect on <strong>the</strong> rate <strong>of</strong> resistance evolution (Fig. 2). If <strong>the</strong>re is a cost to resistance a 5% refuge will have alarger effect at delaying evolution, but this is still likely to be small quantitatively. A larger percent refuge will be better at slowingresistance evolution. A 20% refuge will increase <strong>the</strong> time to resistance failure by 25% (Fig. 2). If <strong>the</strong>re is a cost to resistance, <strong>the</strong>efficacy <strong>of</strong> <strong>the</strong> refuge in delaying resistance is likely to increase substantially. If India is going to manage resistance a refuge largerthan 5% seems necessary.<strong>The</strong> assumptions that we have made in <strong>the</strong>se simulations are not worst-case assumptions. Indeed, BFSB may be exposed

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