A. K. Soni, J. N. Tripathi, Kripan Ghosh, M. Sateesh, Priyanka Singh
Accurate information of crop water requirements is essential for optimal crop growth and yield. Assessing this information at the appropriate time, particularly during the vegetative and reproductive stages when water demand is highest, is crucial for successful crop production. Our study cantered on the drought-prone Marathwada region, specifically targeting the years 2015 to 2020, encompassing the challenging drought year of 2015 and the favourable year of 2020. The crop water stress was detected using crop water stress (CWSI) index and compared with normalized difference vegetation index (NDVI) and normalized difference wetness index (NDWI) derived from satellite data. Our findings reveal a negative correlation between the CWSI and satellite derived vegetation indices NDVI and NDWI. Notably, the NDWI index exhibits stronger alignment with CWSI compared to NDVI. The correlation demonstrates particular robustness during drought or deficient rainfall years such as 2015, 2017, and 2019, while weaker correlations are observed in 2016, 2018, and 2020. Moreover, these correlations display variations across different areas within distinct rainfall zones.
{"title":"Evaluating crop water stress through satellite-derived crop water stress index (CWSI) in Marathwada region using Google Earth Engine","authors":"A. K. Soni, J. N. Tripathi, Kripan Ghosh, M. Sateesh, Priyanka Singh","doi":"10.54386/jam.v25i4.2211","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2211","url":null,"abstract":"Accurate information of crop water requirements is essential for optimal crop growth and yield. Assessing this information at the appropriate time, particularly during the vegetative and reproductive stages when water demand is highest, is crucial for successful crop production. Our study cantered on the drought-prone Marathwada region, specifically targeting the years 2015 to 2020, encompassing the challenging drought year of 2015 and the favourable year of 2020. The crop water stress was detected using crop water stress (CWSI) index and compared with normalized difference vegetation index (NDVI) and normalized difference wetness index (NDWI) derived from satellite data. Our findings reveal a negative correlation between the CWSI and satellite derived vegetation indices NDVI and NDWI. Notably, the NDWI index exhibits stronger alignment with CWSI compared to NDVI. The correlation demonstrates particular robustness during drought or deficient rainfall years such as 2015, 2017, and 2019, while weaker correlations are observed in 2016, 2018, and 2020. Moreover, these correlations display variations across different areas within distinct rainfall zones.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139201503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The present study was conducted during 2021-22 and 2022-23 to study crop phenology, heat unit requirement and heat use efficiency (HUE) in African marigold under year-round transplanting at Punjab Agricultural University, Ludhiana, Punjab, India. The highest heat use efficiency for seed and flower production were recorded in crop transplanted in rainy season particularly in the month of August. Higher growing degree days (GDD) and photothermal units (PTU) for attaining bud visibility and 50 % flowering stages were recorded under spring and summer transplanting (February to June) due to longer day length conditions which forced the crop to witness shorter seed filling period with lesser seed yield and HUE. Optimum seed yield period in marigold (rainy season transplanting), however, recorded lesser GDD and PTU for attainment of bud visibility and 50 % flowering as compared to summer transplanting dates and consequently had longer seed filling period resulting in higher seed yield. Notably, GDD and PTU for seed filling period recorded higher values in rainy season transplanted crop as compared to crop transplanted in other seasons of year. Correlation studies were conducted to understand the role of weather variables for high seed yield obtained under rainy season transplanting. Seed yield in African marigold recorded the highest value of correlation with HUE for seed production (r2= 0.978) followed by GDD for seed filling period (r2= 0.810), HUE for flower production (r2= 0.787) and PTU for seed filling period (r2= 0.774), respectively. Apparently, mean temperature and sunshine hours during seed filling period are the most important determinants of seed yield in African marigold.
{"title":"Phenology, heat unit requirement and heat use efficiency of African marigold under year-round transplanting conditions of Punjab, India","authors":"Rakesh Kumar, Navjyot Kaur, Ranjit Singh","doi":"10.54386/jam.v25i4.2299","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2299","url":null,"abstract":"The present study was conducted during 2021-22 and 2022-23 to study crop phenology, heat unit requirement and heat use efficiency (HUE) in African marigold under year-round transplanting at Punjab Agricultural University, Ludhiana, Punjab, India. The highest heat use efficiency for seed and flower production were recorded in crop transplanted in rainy season particularly in the month of August. Higher growing degree days (GDD) and photothermal units (PTU) for attaining bud visibility and 50 % flowering stages were recorded under spring and summer transplanting (February to June) due to longer day length conditions which forced the crop to witness shorter seed filling period with lesser seed yield and HUE. Optimum seed yield period in marigold (rainy season transplanting), however, recorded lesser GDD and PTU for attainment of bud visibility and 50 % flowering as compared to summer transplanting dates and consequently had longer seed filling period resulting in higher seed yield. Notably, GDD and PTU for seed filling period recorded higher values in rainy season transplanted crop as compared to crop transplanted in other seasons of year. Correlation studies were conducted to understand the role of weather variables for high seed yield obtained under rainy season transplanting. Seed yield in African marigold recorded the highest value of correlation with HUE for seed production (r2= 0.978) followed by GDD for seed filling period (r2= 0.810), HUE for flower production (r2= 0.787) and PTU for seed filling period (r2= 0.774), respectively. Apparently, mean temperature and sunshine hours during seed filling period are the most important determinants of seed yield in African marigold.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"29 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139206617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. P. Khatal, T. K. Narute, R. B. Sonawane, V. K. Bhalerao
{"title":"Effect of weather parameters on the growth and development of downy mildew of grape caused by Plasmopara viticola","authors":"M. P. Khatal, T. K. Narute, R. B. Sonawane, V. K. Bhalerao","doi":"10.54386/jam.v25i4.2063","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2063","url":null,"abstract":"","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139207863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cutting of oilseed rape regulates agroclimatic indices and thermal efficiencies during different phenological stages.","authors":"Tejinder Singh, V. Sardana","doi":"10.54386/jam.v25i4.2346","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2346","url":null,"abstract":"","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139197527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. K. Gill, Kavita Bhatt, Baljeet Kaur, Sandeep Singh Sandhu
The present study aims to explore the effectiveness of Seasonal Autoregressive Integrated Moving Average (SARIMA) models in forecasting meteorological time series data exhibiting seasonal patterns. We compared the performance of SARIMA models with different configurations and evaluate their forecasting accuracy using real-world meteorological datasetsfor three different agroclimatic zones of Punjab (sub mountainous region, central region and south west region) was analyzed to forecast mean monthly maximum air temperature, minimum air temperature and rainfall. The weather data was used from 1984-2022 for sub-mountainous zone (Ballowal Saunkhri), 1970-2022 for Central zone (Ludhiana) and 1977-2022 for south west zone (Bathinda). The results provide insights into the suitability and limitations of SARIMA models for meteorological forecasting and offer practical recommendations for practitioners and researchers in the field. The goodness of fit was tested against residuals using Ljung-Box test. The accuracy of the model was tested using Mean Absolute Error (MAE) and root square mean error (RMSE). The model achieved Mean Absolute Errors (MAE) ranging from 0.61 to 0.78 for maximum temperature, 0.74 to 0.49 for minimum temperature, and 32.12 to 45.44 for rainfall, with lower MAE values indicating higher predictive accuracy. The fitted model was able to capture dynamics of the temperature time series and produce a sensible forecast. However, the model was unable to forecast rainfall series efficiently.
{"title":"ARIMA approach for temperature and rainfall time series prediction in Punjab","authors":"K. K. Gill, Kavita Bhatt, Baljeet Kaur, Sandeep Singh Sandhu","doi":"10.54386/jam.v25i4.2250","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2250","url":null,"abstract":"The present study aims to explore the effectiveness of Seasonal Autoregressive Integrated Moving Average (SARIMA) models in forecasting meteorological time series data exhibiting seasonal patterns. We compared the performance of SARIMA models with different configurations and evaluate their forecasting accuracy using real-world meteorological datasetsfor three different agroclimatic zones of Punjab (sub mountainous region, central region and south west region) was analyzed to forecast mean monthly maximum air temperature, minimum air temperature and rainfall. The weather data was used from 1984-2022 for sub-mountainous zone (Ballowal Saunkhri), 1970-2022 for Central zone (Ludhiana) and 1977-2022 for south west zone (Bathinda). The results provide insights into the suitability and limitations of SARIMA models for meteorological forecasting and offer practical recommendations for practitioners and researchers in the field. The goodness of fit was tested against residuals using Ljung-Box test. The accuracy of the model was tested using Mean Absolute Error (MAE) and root square mean error (RMSE). The model achieved Mean Absolute Errors (MAE) ranging from 0.61 to 0.78 for maximum temperature, 0.74 to 0.49 for minimum temperature, and 32.12 to 45.44 for rainfall, with lower MAE values indicating higher predictive accuracy. The fitted model was able to capture dynamics of the temperature time series and produce a sensible forecast. However, the model was unable to forecast rainfall series efficiently.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"68 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139204772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jalpesh A. Dave, M. Pandya, Dhiraj B. Shah, Hasmukh K. Varchand, Parthkumar Parmar, H. Trivedi, V. Pathak, Manoj Singh, Disha B. Kardani
MODIS Land Surface Temperature (LST) product is extensively used in agricultural studies like crop health assessment, soil moisture estimation, irrigation management, land use land cover change, air-temperature retrieval and crop water stress detection. Numerous studies have used Split Window (SW) algorithms to retrieve LST from MODIS TIR bands. Among them, some utilize Sensor View Angle Dependent (SVAD) or Columnar Water Vapor Dependent (CWVD) SW algorithms. Present study aims to make use of SVAD and CWVD SW algorithms and compare them to evaluate the LST retrieval accuracy over various land surface type. Theoretical accuracy assessment of the CWVD and SVAD algorithms demonstrates a good accuracy with the RMSE of 1.09K and 1.42K, respectively. The experimental retrieval of LST achieves exceptionally good accuracy, with a RMSE of 1.45K in the CWVD algorithm and 1.80K in the SVAD algorithm, particularly in heterogeneous regions. In homogeneous regions, the RMSE values are 1.14K in CWVD and 1.10K in SVAD. Both algorithms exhibit satisfactory accuracy; nevertheless, the application of these algorithms may vary in agricultural contexts. Based on the obtained results and the inclusion of required parameters, we have arrived at a conclusion regarding the superior performance of the SVAD compared to the CWVD for LST retrieval.
{"title":"Comparative analysis of two parameter-dependent split window algorithms for the land surface temperature retrieval using MODIS TIR observations","authors":"Jalpesh A. Dave, M. Pandya, Dhiraj B. Shah, Hasmukh K. Varchand, Parthkumar Parmar, H. Trivedi, V. Pathak, Manoj Singh, Disha B. Kardani","doi":"10.54386/jam.v25i4.2286","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2286","url":null,"abstract":"MODIS Land Surface Temperature (LST) product is extensively used in agricultural studies like crop health assessment, soil moisture estimation, irrigation management, land use land cover change, air-temperature retrieval and crop water stress detection. Numerous studies have used Split Window (SW) algorithms to retrieve LST from MODIS TIR bands. Among them, some utilize Sensor View Angle Dependent (SVAD) or Columnar Water Vapor Dependent (CWVD) SW algorithms. Present study aims to make use of SVAD and CWVD SW algorithms and compare them to evaluate the LST retrieval accuracy over various land surface type. Theoretical accuracy assessment of the CWVD and SVAD algorithms demonstrates a good accuracy with the RMSE of 1.09K and 1.42K, respectively. The experimental retrieval of LST achieves exceptionally good accuracy, with a RMSE of 1.45K in the CWVD algorithm and 1.80K in the SVAD algorithm, particularly in heterogeneous regions. In homogeneous regions, the RMSE values are 1.14K in CWVD and 1.10K in SVAD. Both algorithms exhibit satisfactory accuracy; nevertheless, the application of these algorithms may vary in agricultural contexts. Based on the obtained results and the inclusion of required parameters, we have arrived at a conclusion regarding the superior performance of the SVAD compared to the CWVD for LST retrieval.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139208880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vikas Sharma, N. M. Changade, Suryakant B. Tarate, K. K. Yadav, B. Yadav
A field experiment was conducted at Lovely Professional University, Phagwara, Punjab for two years (2022 and 2023) to study the response of tomato crop to drip irrigation scheduling based on climatological approach viz. Penman-Monteith, Blaney-Criddle and pan evaporation. Result revealed that, the all treatments of irrigation scheduling were found feasible for optimizing tomato yield (30.8 to 44.6 t ha-1), water saving (27 to 50.7%) and water use efficiency (1.31 to 1.61 t ha-1-cm) under drip irrigation over soil moisture depletion approach. In selected region the average daily ET0 (4.4 to 9 mm day-1) and ETC (2.5 to 10.8 mm day-1) varies with different growth stages and results varying crop water demand of tomato. This water demand can successfully meet out by applying water at 100 % ET0 based on Penman-Monteith method with significant crop yield (44.6 t ha-1) and water use efficiency (1.33 t ha-1-cm). Correlation analysis indicated that, in case of other regions where the availability of weather parameters will be limited for irrigation scheduling, the farmer could irrigate their tomato crop at 90% ET0 based on daily pan evaporation method under drip irrigation. In selected region, the Blaney-Criddle method was found ineffective and shows under and overestimated values of daily ETo during mid stage and late stage which gives more water saving (up to 51%) but reduces significant tomato yield over Pan Evaporation method.
{"title":"Climatological approaches of irrigation scheduling for growing tomato crop under drip irrigation in sub-tropical region of Punjab","authors":"Vikas Sharma, N. M. Changade, Suryakant B. Tarate, K. K. Yadav, B. Yadav","doi":"10.54386/jam.v25i4.2269","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2269","url":null,"abstract":"A field experiment was conducted at Lovely Professional University, Phagwara, Punjab for two years (2022 and 2023) to study the response of tomato crop to drip irrigation scheduling based on climatological approach viz. Penman-Monteith, Blaney-Criddle and pan evaporation. Result revealed that, the all treatments of irrigation scheduling were found feasible for optimizing tomato yield (30.8 to 44.6 t ha-1), water saving (27 to 50.7%) and water use efficiency (1.31 to 1.61 t ha-1-cm) under drip irrigation over soil moisture depletion approach. In selected region the average daily ET0 (4.4 to 9 mm day-1) and ETC (2.5 to 10.8 mm day-1) varies with different growth stages and results varying crop water demand of tomato. This water demand can successfully meet out by applying water at 100 % ET0 based on Penman-Monteith method with significant crop yield (44.6 t ha-1) and water use efficiency (1.33 t ha-1-cm). Correlation analysis indicated that, in case of other regions where the availability of weather parameters will be limited for irrigation scheduling, the farmer could irrigate their tomato crop at 90% ET0 based on daily pan evaporation method under drip irrigation. In selected region, the Blaney-Criddle method was found ineffective and shows under and overestimated values of daily ETo during mid stage and late stage which gives more water saving (up to 51%) but reduces significant tomato yield over Pan Evaporation method.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139199883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An experiment was carried out to determine crop evapotranspiration and crop coefficient of Coriander crop by using Portable Automatic Closed Canopy Chamber (PACCC), Micro-Lysimeter (MLs) and field water balance (FWB) methods. The results revealed that there was no significant difference in the coriander crop evapotranspiration measured by the MLs inside and outside the PACCC and no significant difference among the crop evapotranspiration measured by the PACCC, MLs and FWB at 95 percent confidence level was found. It is indicating that, there are no effects of the change in micro-climate for a short period of 2 minutes in the chamber and on the plant physiological processes. During validation of PACCC, the average crop coefficients measured by MLs were varied from 0.66 to 1.26 for coriander crop. However, the stage wise crop coefficients of corianders measured by FWB were varied from 0.67 to 1.28 during field testing of PACCC. The result showed that the PACCC can be used for measurement of crop evapotranspiration in the field condition.
{"title":"Estimation of crop evapotranspiration and crop coefficient for coriander using Portable Automatic Closed Canopy Chamber","authors":"Deepak Kumar Kumar, P. Rank","doi":"10.54386/jam.v25i4.2315","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2315","url":null,"abstract":"An experiment was carried out to determine crop evapotranspiration and crop coefficient of Coriander crop by using Portable Automatic Closed Canopy Chamber (PACCC), Micro-Lysimeter (MLs) and field water balance (FWB) methods. The results revealed that there was no significant difference in the coriander crop evapotranspiration measured by the MLs inside and outside the PACCC and no significant difference among the crop evapotranspiration measured by the PACCC, MLs and FWB at 95 percent confidence level was found. It is indicating that, there are no effects of the change in micro-climate for a short period of 2 minutes in the chamber and on the plant physiological processes. During validation of PACCC, the average crop coefficients measured by MLs were varied from 0.66 to 1.26 for coriander crop. However, the stage wise crop coefficients of corianders measured by FWB were varied from 0.67 to 1.28 during field testing of PACCC. The result showed that the PACCC can be used for measurement of crop evapotranspiration in the field condition.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"85 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139200470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. KOKILAVANI, G. V, P. J, B. J, S. G, S. S, P. P, Timmanna, S. K. Bal
Black gram is a widely grown pulse crop in Asia, prized for its nutritional value and compatibility with various cropping systems. However, the occurrence of powdery mildew, Erysiphe polygoni DC disease poses a significant challenge to black gram production, resulting in potential yield losses in Tamil Nadu. Over a six-year period, spanning from 2017-2018 to 2022-2023, field experiments were conducted during the rabi season at the black soil farm of the Agricultural Research Station in Kovilpatti. The primary objective was to evaluate the incidence of powdery mildew in black gram and establish a statistical model by correlating it with weather variables. Notably, observations of disease index were most frequent during the flowering and pod development stages of the crop. Among the eleven weather parameters considered in the study, maximum temperature, afternoon relative humidity, and sunshine hours emerged as the key contributors to explaining the variation in the Disease Index. Further, a betareg model was developed using these selected variables to predict powdery mildew incidence in black gram.
{"title":"Beta regression model for predicting development of powdery mildew in black gram","authors":"S. KOKILAVANI, G. V, P. J, B. J, S. G, S. S, P. P, Timmanna, S. K. Bal","doi":"10.54386/jam.v25i4.2343","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2343","url":null,"abstract":"Black gram is a widely grown pulse crop in Asia, prized for its nutritional value and compatibility with various cropping systems. However, the occurrence of powdery mildew, Erysiphe polygoni DC disease poses a significant challenge to black gram production, resulting in potential yield losses in Tamil Nadu. Over a six-year period, spanning from 2017-2018 to 2022-2023, field experiments were conducted during the rabi season at the black soil farm of the Agricultural Research Station in Kovilpatti. The primary objective was to evaluate the incidence of powdery mildew in black gram and establish a statistical model by correlating it with weather variables. Notably, observations of disease index were most frequent during the flowering and pod development stages of the crop. Among the eleven weather parameters considered in the study, maximum temperature, afternoon relative humidity, and sunshine hours emerged as the key contributors to explaining the variation in the Disease Index. Further, a betareg model was developed using these selected variables to predict powdery mildew incidence in black gram.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"60 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139205831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
RAKHESH S, S. Hanchinal, B. M, H. K., N. M., Prabhulinga Tenguri
The pink bollworm incidence and adult male moth trap catches were monitored throughout the cropping period for four years from 2017-2021 on Bt cotton (KCH-14K59) at University of Agricultural Sciences, Raichur. The pink bollworm male moth activity (95 moths/trap) was more during the month of December month (49th SMW) with the highest larval incidence (25.67 larvae/ 20 bolls) on green bolls during the month of February (6th - 9th SMW). The correlation matrix indicating relationship between the weekly mean moth catches, larval incidence and meteorological variables from 2017 to 2021 exerted negative association with mean of maximum and minimum temperature, rainfall, morning and afternoon relative humidity. However, the influence of all these whether parameters was found to be highly significant. When the data was subjected to Multi Linear Regression analysis, the results revealed that 78.70 per cent of mean pheromone trap catches (R2 = 0.787) and 92 per cent of mean larval incidence (R2 = 0.92) was negatively influenced by minimum temperature.
{"title":"Influence of meteorological factors on trap catches and incidence of pink bollworm, Pectinophora gossypiella (Saunders) on Bt cotton","authors":"RAKHESH S, S. Hanchinal, B. M, H. K., N. M., Prabhulinga Tenguri","doi":"10.54386/jam.v25i4.2300","DOIUrl":"https://doi.org/10.54386/jam.v25i4.2300","url":null,"abstract":"The pink bollworm incidence and adult male moth trap catches were monitored throughout the cropping period for four years from 2017-2021 on Bt cotton (KCH-14K59) at University of Agricultural Sciences, Raichur. The pink bollworm male moth activity (95 moths/trap) was more during the month of December month (49th SMW) with the highest larval incidence (25.67 larvae/ 20 bolls) on green bolls during the month of February (6th - 9th SMW). The correlation matrix indicating relationship between the weekly mean moth catches, larval incidence and meteorological variables from 2017 to 2021 exerted negative association with mean of maximum and minimum temperature, rainfall, morning and afternoon relative humidity. However, the influence of all these whether parameters was found to be highly significant. When the data was subjected to Multi Linear Regression analysis, the results revealed that 78.70 per cent of mean pheromone trap catches (R2 = 0.787) and 92 per cent of mean larval incidence (R2 = 0.92) was negatively influenced by minimum temperature.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"127 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139197199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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