SAHAJVEER SINGH, B. S. Dhillon, HARPREET KAUR VIRK, SANDEEP SINGH SANDHU
A study was carried out during kharif season of 2022 and 2023 at the Punjab Agricultural University (PAU)-Regional Research Station (RRS), Ballowal Saunkhri (SBS Nagar) with the objective to find out the impact of foliar spray of agrochemicals on biophysical parameters, PAR interception and heat use efficiency of rainfed mung bean (Vigna radiata (L.) Wilczek) under variable sowing dates. Timely sown crop (second fortnight of July) resulted in higher leaf area index, chlorophyll index, PAR interception and heat use efficiency (HUE) as compared to late sowing (first fortnight of August). Significantly higher seed yield, stover yield and biological yields were obtained in timely sowing during both the years of study. Foliar spray of KNO3 @ 1.5% recorded significantly higher leaf area index, chlorophyll index, PAR interception, heat use efficiency (HUE) and helio-thermal use efficiency (HTUE) but it was statistically similar with foliar spray of N:P:K (20:20:20) @ 1.5%. Foliar spray of KNO3 @ 1.5% and N:P:K (20:20:20) @ 1.5% gave statistically similar seed, stover and biological yields and significantly better than other treatments. There was an increase of 33.3% in seed yield with foliar spray of KNO3 @ 1.5% and increase of 29.1% with foliar spraying of N:P:K (20:20:20) @ 1.5%, when compared with control.
{"title":"Impact of foliar spray of agrochemicals on biophysical parameters, PAR interception and heat use efficiency of mungbean (Vigna radiata (L.) Wilczek) under variable sowing dates in Punjab, India","authors":"SAHAJVEER SINGH, B. S. Dhillon, HARPREET KAUR VIRK, SANDEEP SINGH SANDHU","doi":"10.54386/jam.v26i2.2577","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2577","url":null,"abstract":"A study was carried out during kharif season of 2022 and 2023 at the Punjab Agricultural University (PAU)-Regional Research Station (RRS), Ballowal Saunkhri (SBS Nagar) with the objective to find out the impact of foliar spray of agrochemicals on biophysical parameters, PAR interception and heat use efficiency of rainfed mung bean (Vigna radiata (L.) Wilczek) under variable sowing dates. Timely sown crop (second fortnight of July) resulted in higher leaf area index, chlorophyll index, PAR interception and heat use efficiency (HUE) as compared to late sowing (first fortnight of August). Significantly higher seed yield, stover yield and biological yields were obtained in timely sowing during both the years of study. Foliar spray of KNO3 @ 1.5% recorded significantly higher leaf area index, chlorophyll index, PAR interception, heat use efficiency (HUE) and helio-thermal use efficiency (HTUE) but it was statistically similar with foliar spray of N:P:K (20:20:20) @ 1.5%. Foliar spray of KNO3 @ 1.5% and N:P:K (20:20:20) @ 1.5% gave statistically similar seed, stover and biological yields and significantly better than other treatments. There was an increase of 33.3% in seed yield with foliar spray of KNO3 @ 1.5% and increase of 29.1% with foliar spraying of N:P:K (20:20:20) @ 1.5%, when compared with control.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141277579","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}
Purba Goswami, SARATHI SAHA, LALU DAS, SAON BANERJEE
Present study examined the overall performance of 12 CMIP6 GCMs for rainfall, maximum and minimum temperatures for rice crop-growing seasons i.e., Boro (January to May) and Kharif (June to October) over the new alluvial zone of West Bengal. A wide range of indices i.e., index of agreement, error indices and bias estimators were utilized to put more confidence on the results. Results indicated that CMIP6 models were able to reproduce observed mean climatology and inter-annual variability of maximum and minimum temperature adequately for both seasons while a smaller number of models (3-4 models) out of a total of 12 GCM-CMIP6 models showed satisfactory performance for rainfall. The ranks assigned to the models revealed that CNRM–ESM2–1 was the best-performing model for Kharif and MRI-ESM2-0 showed the highest skill for Boro. ACCESS-CM2 and MPI-ESM1-2-LR performed worst for Kharif and Boro seasons respectively. Further, CNRM–ESM2–1 and MRI-ESM2-0 were used to project the future climate for Kharif and Boro seasons respectively under both moderate (SSP2-4.5) and extreme scenarios (SSP5-8.5). Higher warming was projected during Boro season than Kharif. Projections revealed increasing rainfall during Kharif season but decreasing rainfall in Boro season in both the moderate and extreme future scenarios.
{"title":"Evaluation of CMIP6 GCMs performance and future projection for the Boro and Kharif seasons over the new alluvial zones of West Bengal","authors":"Purba Goswami, SARATHI SAHA, LALU DAS, SAON BANERJEE","doi":"10.54386/jam.v26i2.2485","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2485","url":null,"abstract":"Present study examined the overall performance of 12 CMIP6 GCMs for rainfall, maximum and minimum temperatures for rice crop-growing seasons i.e., Boro (January to May) and Kharif (June to October) over the new alluvial zone of West Bengal. A wide range of indices i.e., index of agreement, error indices and bias estimators were utilized to put more confidence on the results. Results indicated that CMIP6 models were able to reproduce observed mean climatology and inter-annual variability of maximum and minimum temperature adequately for both seasons while a smaller number of models (3-4 models) out of a total of 12 GCM-CMIP6 models showed satisfactory performance for rainfall. The ranks assigned to the models revealed that CNRM–ESM2–1 was the best-performing model for Kharif and MRI-ESM2-0 showed the highest skill for Boro. ACCESS-CM2 and MPI-ESM1-2-LR performed worst for Kharif and Boro seasons respectively. Further, CNRM–ESM2–1 and MRI-ESM2-0 were used to project the future climate for Kharif and Boro seasons respectively under both moderate (SSP2-4.5) and extreme scenarios (SSP5-8.5). Higher warming was projected during Boro season than Kharif. Projections revealed increasing rainfall during Kharif season but decreasing rainfall in Boro season in both the moderate and extreme future scenarios.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"24 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141278075","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}
SANDEEP SINGH, R. K. Sandhu, S. S. Sandhu, K. K. Gill, Masrat Siraj, P. V. R. Reddy, PRAKASH PATIL
Field experiments were carried out to study the population dynamics of citrus psylla, Diaphorina citri Kuwayama on Kinnow Mandarin for twelve years (2007-08 to 2019-20) in relation to different weather parameters and to develop population prediction model. Adult psyllids were observed throughout the year but the population was very low during November-January. Two population peaks were observed during March and September. Highest mean population (80.8 nymphs/25 twigs) was observed during second fortnight of September which varied in different years. Psyllid population showed significant and positive correlation with maximum and minimum temperature, vapour pressure, wind speed, sunshine hours, rainfall and negative correlation with relative humidity and number of rainy days. A weather-based model was developed to predict psylla population seven days in advance. The validation of the model carried out using various indices viz, root mean square error, coefficient of determination, Nash-Sctuliffe efficiency and mean bias error suggested that, the model predicted the population of citrus psylla quite satisfactorily. Thus, the developed model can be used satisfactorily for weather-based prediction of citrus psylla in Punjab, seven days in advance.
{"title":"Population prediction model of citrus psylla, Diaphorina citri Kuwayama on Kinnow Mandarin using weather data in Punjab, India","authors":"SANDEEP SINGH, R. K. Sandhu, S. S. Sandhu, K. K. Gill, Masrat Siraj, P. V. R. Reddy, PRAKASH PATIL","doi":"10.54386/jam.v26i2.2444","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2444","url":null,"abstract":"Field experiments were carried out to study the population dynamics of citrus psylla, Diaphorina citri Kuwayama on Kinnow Mandarin for twelve years (2007-08 to 2019-20) in relation to different weather parameters and to develop population prediction model. Adult psyllids were observed throughout the year but the population was very low during November-January. Two population peaks were observed during March and September. Highest mean population (80.8 nymphs/25 twigs) was observed during second fortnight of September which varied in different years. Psyllid population showed significant and positive correlation with maximum and minimum temperature, vapour pressure, wind speed, sunshine hours, rainfall and negative correlation with relative humidity and number of rainy days. A weather-based model was developed to predict psylla population seven days in advance. The validation of the model carried out using various indices viz, root mean square error, coefficient of determination, Nash-Sctuliffe efficiency and mean bias error suggested that, the model predicted the population of citrus psylla quite satisfactorily. Thus, the developed model can be used satisfactorily for weather-based prediction of citrus psylla in Punjab, seven days in advance.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"57 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141275809","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. Ray, P. Roul, A. Baliarsingh, Soumik Ray, R. Tiwari, Promil Kapoor, Shikha Yadav, Pradeep Mishra
{"title":"Crop-weather relationship of finger millet varieties under varying environments at Keonjhar, Odisha","authors":"M. Ray, P. Roul, A. Baliarsingh, Soumik Ray, R. Tiwari, Promil Kapoor, Shikha Yadav, Pradeep Mishra","doi":"10.54386/jam.v26i2.2293","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2293","url":null,"abstract":"","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"53 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141279826","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}
Soubhagya Laxmi Ray, A. P. Sahu, J. C. Paul, Dwarika Mohan Das, S. K. Raul, Prachi Pratyasha Jena
{"title":"Application of innovative trend analysis for rainfall variability in the middle catchment of Mahanadi River basin, India","authors":"Soubhagya Laxmi Ray, A. P. Sahu, J. C. Paul, Dwarika Mohan Das, S. K. Raul, Prachi Pratyasha Jena","doi":"10.54386/jam.v26i2.2542","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2542","url":null,"abstract":"","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"81 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141278582","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 field experiments were conducted to study the relationship of major moringa pests infesting buds (budworm), flowers(ants) and pods (podfly) with weather factors (maximum and minimum temperature and relative humidity and rainfall) during the rabi-summer and kharif seasons of 2021 and 2022 in Dindigul district, Tamil Nadu. The pest population data indicated that the infestations were found to vary with the seasons as well as years. The correlation with weather parameters revealed that the budworm infestation was significant and positively correlated with maximum temperature (r= 0.459***) and negatively correlated with morning relative humidity (r= -0.277*), evening relative humidity (r= -0.584***) and rainfall (r= -0.459***). While in infestation by ants, it was positively correlated with the maximum temperature (r=0.42**) and minimum temperature (r= -0.296*), relative humidity (evening) (r= -0.649***) and negatively correlated with rainfall (r= -0.382**). The moringa pod fly infestation had a strong significant positive correlation with relative humidity (evening) (r= 0.7***) and rainfall (r= 0.517***) and a negative correlation (r= -0.518***) with maximum temperature. The stepwise linear regression showed that all the weather factors collectively influenced the budworm infestation by up to 60.7 %, ants infestation by 50.5 % and up to 60.7 % in podfly infestation.
{"title":"Influence of weather factors on population dynamics of major insect pests in moringa (Moringa oleifera Lam.) in south Tamil Nadu","authors":"P. MANIKANDAN, R. RENGALAKSHMI","doi":"10.54386/jam.v26i2.2405","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2405","url":null,"abstract":"The field experiments were conducted to study the relationship of major moringa pests infesting buds (budworm), flowers(ants) and pods (podfly) with weather factors (maximum and minimum temperature and relative humidity and rainfall) during the rabi-summer and kharif seasons of 2021 and 2022 in Dindigul district, Tamil Nadu. The pest population data indicated that the infestations were found to vary with the seasons as well as years. The correlation with weather parameters revealed that the budworm infestation was significant and positively correlated with maximum temperature (r= 0.459***) and negatively correlated with morning relative humidity (r= -0.277*), evening relative humidity (r= -0.584***) and rainfall (r= -0.459***). While in infestation by ants, it was positively correlated with the maximum temperature (r=0.42**) and minimum temperature (r= -0.296*), relative humidity (evening) (r= -0.649***) and negatively correlated with rainfall (r= -0.382**). The moringa pod fly infestation had a strong significant positive correlation with relative humidity (evening) (r= 0.7***) and rainfall (r= 0.517***) and a negative correlation (r= -0.518***) with maximum temperature. The stepwise linear regression showed that all the weather factors collectively influenced the budworm infestation by up to 60.7 %, ants infestation by 50.5 % and up to 60.7 % in podfly infestation.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"54 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141277329","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}
Sujit Kumar, RAJIV KUMAR, Manish Kumar Singh, Shubhjit Yadav, P. K. Parhi, Avijit Bardhan
The crop water requirement of rice in different agroclimatic zones of Jharkhand, India was estimated using the CROPWAT 8.0 and CLIMWAT 2.0 models with data collected through NASA data-access-viewer on climate, soil, crop, and water availability. The evapotranspiration (ETo), effective rainfall (Peff), and crop water requirement (CWR) for the four zones of the Jharkhand State were calculated. Results revealed that the reference evapotranspiration (ETo) varied from 420.4 mm to 516.5 mm during the crop growing season of rice in different zones. The effective precipitation varied from 748.4 mm to 760.8 mm. The crop water requirement of rice varied from 482.5 mm to 592.4 mm. Effective rainfall was sufficient to meet the water requirement of rice in most of the zones except Alluvial zone wherein the net irrigation water requirement was only 67.6 mm.
{"title":"Crop water requirement of rice in different agroclimatic zones of Jharkhand","authors":"Sujit Kumar, RAJIV KUMAR, Manish Kumar Singh, Shubhjit Yadav, P. K. Parhi, Avijit Bardhan","doi":"10.54386/jam.v26i2.2358","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2358","url":null,"abstract":"The crop water requirement of rice in different agroclimatic zones of Jharkhand, India was estimated using the CROPWAT 8.0 and CLIMWAT 2.0 models with data collected through NASA data-access-viewer on climate, soil, crop, and water availability. The evapotranspiration (ETo), effective rainfall (Peff), and crop water requirement (CWR) for the four zones of the Jharkhand State were calculated. Results revealed that the reference evapotranspiration (ETo) varied from 420.4 mm to 516.5 mm during the crop growing season of rice in different zones. The effective precipitation varied from 748.4 mm to 760.8 mm. The crop water requirement of rice varied from 482.5 mm to 592.4 mm. Effective rainfall was sufficient to meet the water requirement of rice in most of the zones except Alluvial zone wherein the net irrigation water requirement was only 67.6 mm.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"41 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141276385","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}
Shivbrata Pattanaik, Prachi Pratyasha Jena, J. C. Paul, Dwarika Mohan Das
{"title":"Crop water and irrigation requirements of major crops in coastal agro-climatic zone of Odisha","authors":"Shivbrata Pattanaik, Prachi Pratyasha Jena, J. C. Paul, Dwarika Mohan Das","doi":"10.54386/jam.v26i2.2528","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2528","url":null,"abstract":"","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"134 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141281824","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}
Arunachal Pradesh in one of the largest states in north eastern states of India, having subtropical humid climate influenced by monsoon. An attempt has therefore, been made to understand the climatic conditions of the state and its influence on the reference evapotranspiration (ETo) and crop water requirement (CWR) of rice crop, using 21 years (2001-2021) data of 14 districts of Arunachal Pradesh. The results revealed that the maximum temperature varied from 130C to 300C while minimum temperature varied from 30C to 200C and annual rainfall varied from 1200 mm to 2700 mm across the state. The maximum temperature was found to decrease while the minimum temperature and rainfall were found to increase with varying significant levels in different districts. The mean annual reference evapotranspiration (ETo) was found to vary between 900 mm and 1400 mm. The crop water requirement of rice estimated using CROPWAT model revealed a large spatial variation from 508 mm to 731 mm in different districts of the state.
{"title":"Climatic trends and its impact on reference evapotranspiration and crop water requirement of rice crop in Arunachal Pradesh, India","authors":"Lachi Drema, S. Gautam, S. Rawat","doi":"10.54386/jam.v26i2.2510","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2510","url":null,"abstract":"Arunachal Pradesh in one of the largest states in north eastern states of India, having subtropical humid climate influenced by monsoon. An attempt has therefore, been made to understand the climatic conditions of the state and its influence on the reference evapotranspiration (ETo) and crop water requirement (CWR) of rice crop, using 21 years (2001-2021) data of 14 districts of Arunachal Pradesh. The results revealed that the maximum temperature varied from 130C to 300C while minimum temperature varied from 30C to 200C and annual rainfall varied from 1200 mm to 2700 mm across the state. The maximum temperature was found to decrease while the minimum temperature and rainfall were found to increase with varying significant levels in different districts. The mean annual reference evapotranspiration (ETo) was found to vary between 900 mm and 1400 mm. The crop water requirement of rice estimated using CROPWAT model revealed a large spatial variation from 508 mm to 731 mm in different districts of the state.","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"43 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141277358","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":"Rainfall variability and its effect on kharif rice yield in Manipur: a multi-decadal analysis","authors":"Abujam Manglem Singh","doi":"10.54386/jam.v26i2.2471","DOIUrl":"https://doi.org/10.54386/jam.v26i2.2471","url":null,"abstract":"","PeriodicalId":56127,"journal":{"name":"Journal of Agrometeorology","volume":"60 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141279482","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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