Effect of weather parameters on development and progress of late leaf spot (phaeoisariopsispersonata) disease in groundnut.
MATERIALS AND METHODS
An experiment was conducted at College farm of S.V. Agricultural College Tirupati, situated at an altitude of 182.90 m above mean sea level on 79[degrees]E longitude and 13[degrees]N latitude during Kharif 2012 to find out the effect of weather parameters on the progression of the late leaf spot. Groundnut variety Kadiri-6 obtained from Agricultural Research Station, Kadiri was sown in 300 [m.sup.2] area with 3 different dates of sowing. Experiment was laid in three separate 100 [m.sup.2] plots with two week time interval between each sowing i.e., first week of July, third week of July and first week of August. Data on weather parameters viz., maximum temperature, minimum temperature, morning and evening relative humidity, rainfall and sunshine hours was collected from meteorological observatory, Regional Agricultural Research Station, Tirupati. One month after sowing 20 plants were randomly selected and tagged. Late leaf spot disease severity was recorded on the tagged plants at weekly intervals according to modified 19 point field scale (Subramanyam et al., 1995).
Per cent Disease Index (PDI) was calculated using the following formula:
PDI = Sum of individual ratings/Number of samples graded x 100/Maximum disease grade
PDI was calculated at weekly intervals till the maturity of the crop from disease scores recorded on the tagged plants. Harvesting was done when crop attained maturity in each plot. The pod and haulm of each plot was dried separately and weighed. Weekly average of weather data on maximum temperature, minimum temperature, morning and evening relative humidity, rainfall and sunshine hours and weekly PDI were subjected to correlation analysis using IBM SPSS Statistics 20 software.
RESULTS AND DISCUSSION
The data on PDI at weekly intervals and weekly average of weather parameters is presented in the Table 1. Among the three dates of sowing studied, the infection and development of late leaf spot disease was maximum under delayed sowing (August first week) in which the favourable conditions like high relative humidity and low temperatures coincided. In July first week sowing initial disease symptoms were recorded after 55 DAS but disease progressed slowly. It increased from traces (12.77%) to 52.22 per cent at the end of the season. In July third week sowing disease although initiated on 55 DAS, it remained in traces for some period later it increased to 33.88 per cent in the first week of October. An average rainfall of 13.43 mm/day and morning relative humidity of 80.29 per cent occurred in the October first week. Late leaf spot increased from traces (12.77) to 71.11 per cent at the end of season.
In August first week sowing disease initiated early (52 DAS) with much more severity (16.66%) when compared to the other two sowings may be due to the availability of inoculum from the previous sowings coupled with congenial environmental conditions. Per cent disease index at the end of season was relatively high (73.33 %) due to the availability of favourable environmental factors like low temperature and high humidity, compared to July first week sowing.
Disease after initiation, in general, progressed steadily except in weeks of low relative humidity. Low temperature coupled with high relative humidity resulted in a rapid progress of disease severity at the end of the season. Frequent rainfall received in month of October and November, made the environment more congenial for disease development.
Correlation analysis showed that (Table 2) minimum temperature gave significant negative correlation coefficients and morning relative humidity showed significant positive correlation coefficients for all the three dates of sowing. This indicated that progress of late leaf spot epidemic increased with increase in morning relative humidity and decrease in temperature. Shew et al. (1988) found that infection by late leaf spot pathogen was optimum when exposed to 20[degrees]C and at least 12 hr/day, duration of >93 per cent RH for six days. Similar results were reported with temperature optima close to 20[degrees]C and minimum and maximum of about eight and 34[degrees]C, respectively by Butler et al. (1994). Kadam et al. (2008) also reported that high relative humidity, moderate mean temperature and shower of rains are congenial factors for the dispersal of conidia of Cercospora species. Shew et al. (1988) expected leaf spot severity to be the highest when temperatures were near 24[degrees]C and during long leaf wetness periods as the infection is probably occur at night or in early morning when leaves are wet and temperatures are cool. Post infection development probably proceeds rapidly at warm temperatures, slows during the hottest part of the day, and resumes in the evening as temperatures decrease.
Maximum temperature showed significant negative correlation with disease progress in the two late sown conditions (July third week and August first week) while evening relative humidity showed significant positive correlation only in second date of sowing (July third week sowing). Maximum temperature was higher in beginning of the season which decreased slowly towards the end of disease season. Minimum temperature also followed the same trend while disease increased steadily towards the end of the season. This was in accordance with Shew et al., 1988. Maximum incidences occurred at 20[degrees]C and with increase in temperature to 28[degrees]C and above a very slow progress took place (Shew et al., 1988). Sarada Jayalakshmi (1996) also reported that maximum and minimum relative humidity were positively correlated to the development and progress of late leaf spot of groundnut in Southern zone of Andhra Pradesh.
Area Under Disease Progress Curve (AUDPC) increased and both pod yield and haulm yield (kg [ha.sup.-1]) decreased with delay in sowing time (Fig. 1 and Table 3). Relative humidity increased towards the end of the season as temperature decreased. Low temperature coupled with high humidity created congenial atmosphere for the progress of late leaf spot in the late sown crop. Low incidence of late leaf spot (52.22 %) was recorded in the early sown plot (July first week) in which low average relative humidity and high temperatures were recorded which are not much favourable for the development of late leaf spot. Maximum yield was recorded in this treatment due to the reduced intensity of late leaf spot which resulted in very good pod filling.
In conclusion, weather parameters like minimum temperature and morning relative humidity highly influenced the initiation and progress of late leaf spot. Minimum temperature showed significant negative correlation while morning relative humidity showed significant positive correlation with the late leaf spot development which indicated that progress of late leaf spot epidemic was favoured by high morning relative humidity (more than 80%) and low temperature.
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(4.) Sarada Jayalakshmi R., Studies on groundnut tikka and rust diseases with special reference to their management through cultural practices of Southern zone of Andhra Pradesh. Ph D Thesis. Acharya N. G. Ranga Agricultural University, Hyderabad, India, 1996.
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Anil Pappachan, R. Sarada Jayalakshmi Devi Shreeshail Sonyal
Department of Plant Pathology, S.V. Agricultural College, Tirupati--517502, India.
(Received: 29 May 2015; accepted: 09 August 2015)
* To whom all correspondence should be addressed. E-mail: email@example.com
Caption: Fig. 1. Effect of dates of sowing on the development and progress of late leaf spot in groundnut (Kharif 2012)
Table 1. Late leaf spot severity in relation to weekly average of major weather parameters week PDI (%) July first July August week third week first week sowing sowing sowing 05 to 11 Aug 11.11 -- -- 12 to 18 Aug 11.11 -- -- 19 to 25 Aug 11.11 11.11 -- 26 Aug to 01 Sep 12.77 11.11 -- 02 to o8 Sep 15.55 11.11 11.11 09 to 15 Sep 22.22 12.77 11.11 16 to 22 Sep 25.55 13.88 11.11 23 to 29 Sep 30.55 20.00 16.11 30 Sep to 06 Oct 38.89 33.88 27.22 07 to 13 Oct 42.22 35.55 30.00 14 to 20 Oct 52.22 48.88 40.55 21 to 27 Oct -- 58.88 51.66 28 Oct to 03 Nov -- 71.11 56.66 04 to 10 Nov -- -- 65.00 11 to 17 Nov -- -- 73.33 week Temperature Relative ([degrees]C) humidity (%) July first Minimum Maximum Morning Evening 05 to 11 Aug 26.29 34.93 69.14 45.00 12 to 18 Aug 24.61 35.47 74.86 42.86 19 to 25 Aug 24.79 35.50 73.71 46.43 26 Aug to 01 Sep 24.00 32.74 80.43 55.57 02 to o8 Sep 24.70 33.70 81.40 53.00 09 to 15 Sep 25.17 34.69 78.71 47.00 16 to 22 Sep 24.71 34.86 78.57 48.86 23 to 29 Sep 24.04 34.24 76.00 47.00 30 Sep to 06 Oct 23.79 33.83 80.29 54.43 07 to 13 Oct 23.79 34.57 80.86 43.57 14 to 20 Oct 23.14 31.93 82.43 54.86 21 to 27 Oct 22.04 30.86 87.43 59.86 28 Oct to 03 Nov 23.36 29.07 82.43 69.57 04 to 10 Nov 21.84 32.30 84.14 55.14 11 to 17 Nov 17.07 30.17 81.29 49.14 week Rain-- Sunshine fall hours July first (mm) (h/day) 05 to 11 Aug 2.29 3.40 12 to 18 Aug 3.64 6.81 19 to 25 Aug 8.07 6.66 26 Aug to 01 Sep 9.50 2.06 02 to 08 Sep 4.40 3.40 09 to 15 Sep 0.93 5.57 16 to 22 Sep 1.50 6.06 23 to 29 Sep 3.14 3.77 30 Sep to 06 Oct 13.43 5.27 07 to 13 Oct 0.43 6.80 14 to 20 Oct 4.50 3.91 21 to 27 Oct 4.14 6.21 28 Oct to 03 Nov 14.57 1.80 04 to 10 Nov 3.14 7.20 11 to 17 Nov 0.00 8.66 Table 2. Correlation coefficients of groundnut late leaf spot with weekly average of major meteorological parameters for three dates of sowing (Kharif 2012) Weather parameters Date of sowing July July August first third first week week week Minimum temperature ([degrees]C) -0.735* -0.834** -0.838** Maximum temperature ([degrees]C) -0.531 -0.851** -0.851** Morning relative humidity (%) 0.607* 0.692* 0.650* Evening relative humidity (%) 0.286 0.730* 0.475 Rainfall (mm) -0.021 0.362 0.118 Sunshine (h/day) 0.094 -0.172 0.353 * Correlation is significant at 0.05 % ** Correlation is significant at 0.01 % Table 3. Effect of dates of sowing on final disease intensity and yield of groundnut (Kharif 2012) Observations July first July third August first week sowing week sowing week sowing Final PDI (%) 52.22 71.11 73.33 Pod yield (kg 1618 1455 1412 [ha.sup.-1]) Haulm yield (kg 2712 2250 2197 [ha.sup.-1])
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|Author:||Pappachan, Anil; Sarada Jayalakshmi Devi, R.; Sonyal, Shreeshail|
|Publication:||Journal of Pure and Applied Microbiology|
|Date:||Dec 1, 2015|
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