In this paper the first two moments of the teet criterion (Treat.S.S.)/(Treat.S.S. +Error S.S.) have been derived assuming that one observation corresponding to the first plot of the first block which is under treatment 'm' (say), is miming in a randomized block design with 'v' treatments and 'r' blocks. To keep the analysie simple the case of one missing observation has been considered. It ie concluded that in general the design is not unbiased in YATES (1951) sense and the usual P-test is satisfactory iff S --e l / w-r-i)=(S-Si)/(u-l) ( r -i ) , the block errorsare homogeneous and (w -r -1) is large. The analysis of three uniformity trial d~t a indicetea that the first condition is the most importent for the P-teet to be aatkfactory.unbiased. If the block errora are homogeneous and (w -r -1) rs6, the F-teat a h provides a good approximation to the correepondmg randomization teet in this cam.Key words: Basic (true) yield, randomizationdd, FisherianhypothesG, unbiasedw s , Kronecker ddtu, h m n o g e w block errors, uniformity trial dab.( 2 1 11) ( However, if one obmrvetion is miming a t random from some plot of some block, the P-teet i s ,

Study was undertaken to determine the effect of weather parameters on rice leaf folder during 2015-16 at Krishi Vigyan Kendra Jagatsinghpur, Odisha. The leaf folder infestation was monitored through light trap catches and the infestation percentage was observed during crop period and correlated with weather parameters. Results indicated that the peak activity of rice leaf folder was in the third week of September with 25.39 per cent leaf infestation. It was associated with 30.71 0 C to 22.79 O C maximum and minimum temperatures and 92.00 and 45.00 per cent morning and evening relative humidity with the association of 65.8 mm rainfall. The correlation study revealed that the number of rice Leaffolder infestation were significantly correlated with maximum temperature (r= 0.465) and minimum temperature (r=0.381). Increasing temperature within upper threshold of the species promoted leaf folder growth. and showed negative and non significant correlation with average rainfall (r = -0. 15), morning relative humidity (r = -0.14) and evening relative humidity (r = -0. 12).

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SummaryThe first two randomization moments of W = Tt.S. S./(Tt.S.S. + Error S.S.) are derived in case of (a) a completely randomized design with one observation missing using (I) Yates method of fitting constants and (11) the available observations only and in case of (b) a randomized block design in which one treatment is tested twice by mistake in a block and another treatment is not tested at all in that block using (I) all the available observations and (11) the data after deleting the observation due to the treatment tested by mistake in place of another treatment in a block.It is concluded that in each of the two cases for a completely randomized design, the F-test is unbiased whereas in each of the two cases for a randomized block design the F-test is in general not unbiased. However, if one treatment is tested twice by mistake in randomly chosen plots of some block, the F-test is unbiased in both cases for a randomized block design.For a completely randomized design the F-test is found to be a good approximation to the corresponding randomized test if N 2 80 in case (I) whereas in case (11) this approximation is of the same accuracy as that of case (I) if N 2 90. For a randomized block design it is seen that in case (I), the F-test provides a good approximation to the corresponding randomization test if u 2 r 2 7 and in case (11) this approximation is of the same accuracy if r 2 6 and r ( u -1) 2 45.The analysis of several uniformity trial .data shows that for values of "N" in the neighbourhood of 50 the agreement of the first two moments of "W" under the randomization theory and normal theory are reasonably close in all the four cases considered.