CONTENTS
Contents of 41(2) 2013 - acharya ng ranga agricultural university
Contents of 41(2) 2013 - acharya ng ranga agricultural university
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ARUNA SRI and MADHUMATHI<br />
Table 2. Toxicity of Triphenyl phosphate (TPP) with test insecticides to the resistant larvae of S. litura<br />
during 2008 – 09<br />
Hours<br />
S.No after<br />
treatment<br />
Chlorpyriphos + TPP<br />
1 24<br />
2 48<br />
3 72<br />
Quinalphos + TPP<br />
1 24<br />
2 48<br />
3 72<br />
Endosulfan + TPP<br />
1 24<br />
2 48<br />
3 72<br />
Cypermethrin + TPP<br />
1 24<br />
2 48<br />
3 72<br />
Methomyl + TPP<br />
1 24<br />
2 48<br />
3 72<br />
LD 50<br />
µg / larva<br />
( 95% FL)<br />
0.2026<br />
(0.1140 –<br />
0.3532)<br />
0.1708<br />
(0.1150 –<br />
0.3018)<br />
0.1596<br />
(0.1038 –<br />
0.2942)<br />
0.3304<br />
(0.2060 –<br />
0.5680)<br />
0.1888<br />
(0.1320 –<br />
0.3140)<br />
0.1588<br />
(0.0424 –<br />
0.2460)<br />
1.2456<br />
(1.0320 –<br />
1.5260)<br />
1.0960<br />
(0.9090 –<br />
1.3214)<br />
0.6985<br />
(0.4240 –<br />
0.9350)<br />
0.3324<br />
(0.2140 –<br />
0.5200)<br />
0.1862<br />
(0.1160 –<br />
0.2820)<br />
0.1224<br />
(0.0968 –<br />
0.4620)<br />
0.3582<br />
(0.2260 –<br />
0.6000)<br />
0.2202<br />
(0.1400 –<br />
0.3340)<br />
0.1912<br />
(0.1214 –<br />
0.4260)<br />
LD 90<br />
µg / larva<br />
( 95% FL)<br />
2.3066<br />
(1.3746–<br />
13.8060)<br />
1.8280<br />
(0.7576 -<br />
13.7550)<br />
0.6638<br />
(0.2040 –<br />
4.9200)<br />
4.9804<br />
(2.1020-<br />
26.1480)<br />
2.4928<br />
(0.6980 –<br />
7.6180)<br />
0.7571<br />
(0.4800 –<br />
2.0968)<br />
3.3512<br />
(2.4760–<br />
5.7740)<br />
3.0789<br />
(2.2714 –<br />
5.4748)<br />
1.1452<br />
(0.9600 –<br />
1.4513)<br />
3.6844<br />
(1.8240-<br />
13.2580)<br />
1.9308<br />
(1.0640 –<br />
5.2400)<br />
0.7835<br />
(0.5243 –<br />
1.4240)<br />
5.1174<br />
(2.2180-<br />
25.9560)<br />
2.3152<br />
(1.2340 –<br />
6.8640)<br />
1.5283<br />
(1.0721 –<br />
6.8240)<br />
138<br />
Hetero<br />
geneity<br />
(χ 2 )<br />
Slope ± S.E<br />
(b)<br />
Regression<br />
equation<br />
Y = a+bx<br />
5.38 1.08 ± 0.19 Y = 5.75 + 1.08x<br />
1.46 1.25 ± 0.26 Y = 5.96 + 1.25x<br />
3.20 2.07 ± 0.26 Y = 6.65 + 2.07x<br />
1.38 1.09 ± 0.19 Y = 5.52 + 1.09x<br />
1.64 1.43 ± 0.28 Y = 6.03 + 1.43x<br />
2.13 1.89 ± 0.23 Y = 6.51 + 1.89x<br />
4.04 2.98 ± 0.49 Y = 4.72 + 2.98x<br />
4.42 2.86 ± 0.50 Y = 4.89 + 2.86x<br />
3.14 5.97 ± 0.46 Y = 5.93 + 5.97x<br />
0.16 1.23 ± 0.20 Y = 5.59 + 1.23x<br />
0.53 1.26 ± 0.19 Y = 5.92 + 1.26x<br />
0.46 1.59 ± 0.21 Y = 6.45 + 1.59x<br />
4.49 1.11 ± 0.20 Y = 5.49 + 1.11x<br />
1.46 1.25 ± 0.20 Y = 5.82 + 1.25x<br />
4.03 1.42 ± 0.19 Y = 6.02 + 1.42x
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