Present study was designed to reveal the impact of different meteorological factors on sucking pe... more Present study was designed to reveal the impact of different meteorological factors on sucking pest population dynamics and to work out multiple regression equations using different weather parameters and spectral indices. Leafhopper population was positively correlated with Tmax (Maximum temperature), Tmin (Minimum temperature), RHM (Morning RH) and RHE (Evening RH) and negatively associated with VPD (Vapour pressure deficit). However, whitefly population was negatively correlated with Tmax, Tmin and VPD and positively related with RHM and RHE. In case of leafhopper, regression equation consisting all the weather variables were more suitable to predict their population (R2 = 0.79). But for whitefly population, equation with only temperature variables explained more variability (R2 = 0.89). Multiple regression analysis with spectral indices showed variable performance for these pests.
International Journal of Plant & Soil Science, 2021
Field trail was conducted at the Research Farm of Cotton Section, Department of Genetics & Plant ... more Field trail was conducted at the Research Farm of Cotton Section, Department of Genetics & Plant Breeding, CCS HAU, Hisar (Lat 29ᵒ 10' N, Long 75ᵒ 46' E and 215.2 m msl) during Kharif season of 2015. The experiment was conducted in split-split plot design with three replications. Three varieties viz. V1=RCH 602, V2=RCH 650 and V3=Bunty were kept in main plots while three spacing viz. S1=67.5 cm × 45 cm, S2=67.5 cm × 60 cm and S3=67.5 cm × 75 cm with three fertilizer levels i.e. F1=RDF, F2=125 % of RDF and F3=150 % of RDF application of the recommended dose were kept in subplots. Recommended dose of fertilizer (RDF) was N:P:K=175:60:60 kg ha-1. Optical characteristics, thermal use efficiency (TUE) were computed along with yield and yield attributes were also studied. V1 (86.6 %), S3 (84.8 %) and F3 (85.1 %) absorbed maximum PAR among all the cv., plant spacing and fertilizer levels. TUE was found higher in the V1 (0.35 g/m²/℃ day), S3 (0.34 g/m²/℃ day) and F3 (0.29 g/m²/℃ day...
Wheat and mustard crop is highly vulnerable, particularly in the semi-arid and arid regions of In... more Wheat and mustard crop is highly vulnerable, particularly in the semi-arid and arid regions of India. The climate is warming through the processes such as CO2 and changed pattern of temperature and precipitation resulting in heat and drought stresses, respectively. The effect of increasing temperature during grain filling stage of wheat causes substantial reduction in grain yield. The effect of low temperature (frost) during podding and seed development stage in mustard causes freezing injury in seeds and sizable reduction in seed yield. In this review paper response of wheat and mustard crop to weather extremes and management practices such as time of sowing, selection of resistance cultivars, mulching, seed priming, foliar spray of salts, use of extra irrigation water, foliar spray of micronutrients, sprinkler, wind barrier etc. to mitigate the temperature and moisture stress effect on the productivity of wheat and mustard crop have been discussed. Above ground dry weight of whe...
Weather disease interaction study was carried out at Hisar (75046’E 29010’N and 215.2a.m.s.l). Ni... more Weather disease interaction study was carried out at Hisar (75046’E 29010’N and 215.2a.m.s.l). Nineteen years (1996-2014) yellow rust data was recorded during the peak period of yellow rust incidence (20thDecember to 20th February) on six varieties of wheat (WH 147,PBW 343,WH 711,PBW 175, KH 65 and C 306). Weather data of corresponding period (1996 to 2014) was taken from Agrometeorological observatory located at Research farm.Yellow rust incidence values were transformed using Logistic and Gompertz models for development of weather based prediction models.Transformed values of disease incidence were correlated with weather parameters and correlation coefficient indicates that rainy day was the most important/significant weather parameters in disease progression. Rainy day, minimum temperature and morning relative humidity collectively explained maximum variability in disease progression. The Gompertz model was found to be the best fit over the years for describing zonate leaf spot ...
A field experiment was conducted during rabi season, 1995 at research farm of Chaudhary Charan Si... more A field experiment was conducted during rabi season, 1995 at research farm of Chaudhary Charan Singh, Haryana Agricultural University, Hisar to study the sunflower development in relation to growing degree days (GDD). Two sunflower genotypes namely; ‘HS-l’ and ‘Morden’ were sown in sandy loam soil on 24th September, 1995 and 24th October, 1995. The growing degree days were computed using 5°C base temperature for different phenophases of sunflower genotypes. The GDD required for vegetative emergence, vegetative stage and reproductive stage by HS-l genotype were 149.5, 463.4 and 761.7 day °C, respectively. The corresponding values for ‘Morden’ genotype were 103.9, 470.4 and 585.3 days °C, respectively. HS-l genotype required 215 days °C more GDD to complete its growth cycle. The days taken for occurrence of different phenotypes were correlated with GDD in both the genotypes. The regression models are as under Y1 = 0.0771×1.001GDD × GDD0.8909 (R2=0.9992) Y2 = 2.428+0.0304GDD+0.0000314 GDD2 (R2=0.9993) Where Y1 and Y2 are the days of occurrence for different phenophases in HS-l and Morden genotypes respectively. On the basis of these studies, it was concluded that these models could be used for prediction of development of sunflower grown in semi-arid region.
Prediction model for Alternaria blight of rapeseed and mustard was developed for adopting better ... more Prediction model for Alternaria blight of rapeseed and mustard was developed for adopting better disease management Four cultivars each of Brassica juncea (RH-30, RH-8113, RH-8695, RH-8546) and B. campestris (YSPb-24, BSH-1, Candle, Shiva), two of B. carinata (HC-2, HC-9001), one each of B. napus (GSH-1) and B. alba (local) were monitored for the development and progression of Alternaria blight for three consecutive crop seasons (1998–99 to 2000–01). Each cultivar was inoculated with Alternaria brassicae (Berk.) Sacc. spores when the crop was about two months old. The progression of Alternaria blight was recorded in terms of lesion size on every alternate day till the maturity of leaf. The data on disease progression in relation to corresponding weather variables were subjected to step-wise multiple regression analysis. There were significant variations in the development of Alternaria blight during all the three crop seasons. The progression was much less during 2000–2001 as compared to other two crop seasons. The rate of disease development was faster on B. juncea and B. campestris groups as compared to B. carinata, B. napus and B. alba. Further during the crop year 1998–99, Temp, (min), RH (E) and Sun-shine played significant role whereas, Temp, (max), Temp, (min), RH (M) and RH (E) contributed largely towards the disease development during 1999–2000. Studies conducted revealed that Temp, and RH had prominent role in Alternaria blight development in addition to varietal behaviour. The prediction equations so developed were at par with observed values. It will help to formulate suitable chemical spray schedule to check the disease more efficiently.
Present study was designed to reveal the impact of different meteorological factors on sucking pe... more Present study was designed to reveal the impact of different meteorological factors on sucking pest population dynamics and to work out multiple regression equations using different weather parameters and spectral indices. Leafhopper population was positively correlated with Tmax (Maximum temperature), Tmin (Minimum temperature), RHM (Morning RH) and RHE (Evening RH) and negatively associated with VPD (Vapour pressure deficit). However, whitefly population was negatively correlated with Tmax, Tmin and VPD and positively related with RHM and RHE. In case of leafhopper, regression equation consisting all the weather variables were more suitable to predict their population (R2 = 0.79). But for whitefly population, equation with only temperature variables explained more variability (R2 = 0.89). Multiple regression analysis with spectral indices showed variable performance for these pests.
International Journal of Plant & Soil Science, 2021
Field trail was conducted at the Research Farm of Cotton Section, Department of Genetics & Plant ... more Field trail was conducted at the Research Farm of Cotton Section, Department of Genetics & Plant Breeding, CCS HAU, Hisar (Lat 29ᵒ 10' N, Long 75ᵒ 46' E and 215.2 m msl) during Kharif season of 2015. The experiment was conducted in split-split plot design with three replications. Three varieties viz. V1=RCH 602, V2=RCH 650 and V3=Bunty were kept in main plots while three spacing viz. S1=67.5 cm × 45 cm, S2=67.5 cm × 60 cm and S3=67.5 cm × 75 cm with three fertilizer levels i.e. F1=RDF, F2=125 % of RDF and F3=150 % of RDF application of the recommended dose were kept in subplots. Recommended dose of fertilizer (RDF) was N:P:K=175:60:60 kg ha-1. Optical characteristics, thermal use efficiency (TUE) were computed along with yield and yield attributes were also studied. V1 (86.6 %), S3 (84.8 %) and F3 (85.1 %) absorbed maximum PAR among all the cv., plant spacing and fertilizer levels. TUE was found higher in the V1 (0.35 g/m²/℃ day), S3 (0.34 g/m²/℃ day) and F3 (0.29 g/m²/℃ day...
Wheat and mustard crop is highly vulnerable, particularly in the semi-arid and arid regions of In... more Wheat and mustard crop is highly vulnerable, particularly in the semi-arid and arid regions of India. The climate is warming through the processes such as CO2 and changed pattern of temperature and precipitation resulting in heat and drought stresses, respectively. The effect of increasing temperature during grain filling stage of wheat causes substantial reduction in grain yield. The effect of low temperature (frost) during podding and seed development stage in mustard causes freezing injury in seeds and sizable reduction in seed yield. In this review paper response of wheat and mustard crop to weather extremes and management practices such as time of sowing, selection of resistance cultivars, mulching, seed priming, foliar spray of salts, use of extra irrigation water, foliar spray of micronutrients, sprinkler, wind barrier etc. to mitigate the temperature and moisture stress effect on the productivity of wheat and mustard crop have been discussed. Above ground dry weight of whe...
Weather disease interaction study was carried out at Hisar (75046’E 29010’N and 215.2a.m.s.l). Ni... more Weather disease interaction study was carried out at Hisar (75046’E 29010’N and 215.2a.m.s.l). Nineteen years (1996-2014) yellow rust data was recorded during the peak period of yellow rust incidence (20thDecember to 20th February) on six varieties of wheat (WH 147,PBW 343,WH 711,PBW 175, KH 65 and C 306). Weather data of corresponding period (1996 to 2014) was taken from Agrometeorological observatory located at Research farm.Yellow rust incidence values were transformed using Logistic and Gompertz models for development of weather based prediction models.Transformed values of disease incidence were correlated with weather parameters and correlation coefficient indicates that rainy day was the most important/significant weather parameters in disease progression. Rainy day, minimum temperature and morning relative humidity collectively explained maximum variability in disease progression. The Gompertz model was found to be the best fit over the years for describing zonate leaf spot ...
A field experiment was conducted during rabi season, 1995 at research farm of Chaudhary Charan Si... more A field experiment was conducted during rabi season, 1995 at research farm of Chaudhary Charan Singh, Haryana Agricultural University, Hisar to study the sunflower development in relation to growing degree days (GDD). Two sunflower genotypes namely; ‘HS-l’ and ‘Morden’ were sown in sandy loam soil on 24th September, 1995 and 24th October, 1995. The growing degree days were computed using 5°C base temperature for different phenophases of sunflower genotypes. The GDD required for vegetative emergence, vegetative stage and reproductive stage by HS-l genotype were 149.5, 463.4 and 761.7 day °C, respectively. The corresponding values for ‘Morden’ genotype were 103.9, 470.4 and 585.3 days °C, respectively. HS-l genotype required 215 days °C more GDD to complete its growth cycle. The days taken for occurrence of different phenotypes were correlated with GDD in both the genotypes. The regression models are as under Y1 = 0.0771×1.001GDD × GDD0.8909 (R2=0.9992) Y2 = 2.428+0.0304GDD+0.0000314 GDD2 (R2=0.9993) Where Y1 and Y2 are the days of occurrence for different phenophases in HS-l and Morden genotypes respectively. On the basis of these studies, it was concluded that these models could be used for prediction of development of sunflower grown in semi-arid region.
Prediction model for Alternaria blight of rapeseed and mustard was developed for adopting better ... more Prediction model for Alternaria blight of rapeseed and mustard was developed for adopting better disease management Four cultivars each of Brassica juncea (RH-30, RH-8113, RH-8695, RH-8546) and B. campestris (YSPb-24, BSH-1, Candle, Shiva), two of B. carinata (HC-2, HC-9001), one each of B. napus (GSH-1) and B. alba (local) were monitored for the development and progression of Alternaria blight for three consecutive crop seasons (1998–99 to 2000–01). Each cultivar was inoculated with Alternaria brassicae (Berk.) Sacc. spores when the crop was about two months old. The progression of Alternaria blight was recorded in terms of lesion size on every alternate day till the maturity of leaf. The data on disease progression in relation to corresponding weather variables were subjected to step-wise multiple regression analysis. There were significant variations in the development of Alternaria blight during all the three crop seasons. The progression was much less during 2000–2001 as compared to other two crop seasons. The rate of disease development was faster on B. juncea and B. campestris groups as compared to B. carinata, B. napus and B. alba. Further during the crop year 1998–99, Temp, (min), RH (E) and Sun-shine played significant role whereas, Temp, (max), Temp, (min), RH (M) and RH (E) contributed largely towards the disease development during 1999–2000. Studies conducted revealed that Temp, and RH had prominent role in Alternaria blight development in addition to varietal behaviour. The prediction equations so developed were at par with observed values. It will help to formulate suitable chemical spray schedule to check the disease more efficiently.
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