The purpose of the investigation is to calculate soil infiltration rates with the help of infiltration models. The infiltration model helps to design and evaluate surface irrigation systems. The study calculated constant infiltration for two types of soils (clay loam soil and laterite soil) under field conditions (Unploughed and Ploughed). The double-ring infiltrometer has been implemented to experiment. The value of various constants of the models was calculated using the approach of averages counselled through a graphical technique. Fitting infiltration test data to prominent infiltration models such as Philip’s, Horton's and Kostiakov’s and The Nash- Sutcliffe efficiency (NSE), coefficient of determination (R2) and root mean square error (RMSE) statistics are used to evaluate the effectiveness of the model. The results indicate that Philip's model is the most reliable, with R2, NSE, and RMSE values ranging from 0.9044-0.9677, 0.294-0.957 and 1.2647-5.7129, respectively. Therefore, under identical circumstances and without any kind of infiltration information, the above model can be employed to artificially produce infiltration information.
{"title":"Evaluation of infiltration models in clay loam and laterite soils under field conditions","authors":"Shubham Kindo, Narendra Agrawal, A. Shori","doi":"10.36953/ecj.24242644","DOIUrl":"https://doi.org/10.36953/ecj.24242644","url":null,"abstract":"The purpose of the investigation is to calculate soil infiltration rates with the help of infiltration models. The infiltration model helps to design and evaluate surface irrigation systems. The study calculated constant infiltration for two types of soils (clay loam soil and laterite soil) under field conditions (Unploughed and Ploughed). The double-ring infiltrometer has been implemented to experiment. The value of various constants of the models was calculated using the approach of averages counselled through a graphical technique. Fitting infiltration test data to prominent infiltration models such as Philip’s, Horton's and Kostiakov’s and The Nash- Sutcliffe efficiency (NSE), coefficient of determination (R2) and root mean square error (RMSE) statistics are used to evaluate the effectiveness of the model. The results indicate that Philip's model is the most reliable, with R2, NSE, and RMSE values ranging from 0.9044-0.9677, 0.294-0.957 and 1.2647-5.7129, respectively. Therefore, under identical circumstances and without any kind of infiltration information, the above model can be employed to artificially produce infiltration information.\u0000 ","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"47 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140461778","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}
Bhargava Kotte, Naveen A, Sai Akhil V, Hema Lingireddy, Gowtham K V, Abhijeet Mudhale, Guru Sri B, Abhishek E
Providing food for the growing population is a challenging task, however, with historical agricultural practices, we can’t meet the food requirement of the world population. We are in the need to adopt modern technology to overcome adverse climatic and cultural challenges, which are faced by current generation, that is Artificial Intelligence (AI). AI is the booming technology in the agriculture, which uses different sensors and neural networks and uses resources minimally based on need and predict the coming obstacles, which causes huge loss to crop. This review explain is, various applications of AI in the sustainable agriculture for crop managemen by overcoming realtime challenges and importance of AI in agriculture by comparing with traditional methods.
{"title":"Artificial intelligence (AI) and its applications in agriculture: A Review","authors":"Bhargava Kotte, Naveen A, Sai Akhil V, Hema Lingireddy, Gowtham K V, Abhijeet Mudhale, Guru Sri B, Abhishek E","doi":"10.36953/ecj.24052645","DOIUrl":"https://doi.org/10.36953/ecj.24052645","url":null,"abstract":"Providing food for the growing population is a challenging task, however, with historical agricultural practices, we can’t meet the food requirement of the world population. We are in the need to adopt modern technology to overcome adverse climatic and cultural challenges, which are faced by current generation, that is Artificial Intelligence (AI). AI is the booming technology in the agriculture, which uses different sensors and neural networks and uses resources minimally based on need and predict the coming obstacles, which causes huge loss to crop. This review explain is, various applications of AI in the sustainable agriculture for crop managemen by overcoming realtime challenges and importance of AI in agriculture by comparing with traditional methods.\u0000 ","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"281 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140461351","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 conducted on rainfed pearl millet at ICAR- IARI, New Delhi, during the kharif season of 2019, in a split-plot design with three replications. Three tillage practices, viz. Conventional tillage (CT), Zero tillage and Zero tillage + Residue@ 3t/ha (ZT+R) were evaluated in the main plot and seven weed management treatments, viz. weedy check, hand weeding (HW) at 30 and 50 days after sowing (DAS), atrazine @ 0.75 kg/ha(PE) fb 2,4-D @0.75kg/ha (PoE), atrazine @ 0.75 kg/ha PE, atrazine @ 0.75 kg/ha PE fb tembotrione @ 0.05kg/ha PoE, atrazine @ 0.75kg/ha PE fb tembotrione @ 0.075kg/ha PoE, atrazine @0.75 kg/ha PE fb tembotrione @ 0.10 kg/ha PoE. ZT+R 3t/ha resulted in enhanced growth attributes, and higher NPK uptake which led to increased grain yield. Among weed control treatments, hand weeding (HW) twice at 30 and 50 DAS along with the integration of pre-emergence application of atrazine 0.75kg/ha fb 2,4-D 0.75kg/ha PoE and tembotrione, 0.075 kg/ha or 0.1 kg/ha PoE resulted in better growth attributes which significantly resulted in higher grain yield under rainfed conditions of semi-arid tropics.
{"title":"Effect of weed management practices on growth dynamics and productivity of rainfed pearl millet under conservation agriculture","authors":"Munny Chinyo, Raj Singh, Suraj Gond","doi":"10.36953/ecj.23762625","DOIUrl":"https://doi.org/10.36953/ecj.23762625","url":null,"abstract":"An experiment was conducted on rainfed pearl millet at ICAR- IARI, New Delhi, during the kharif season of 2019, in a split-plot design with three replications. Three tillage practices, viz. Conventional tillage (CT), Zero tillage and Zero tillage + Residue@ 3t/ha (ZT+R) were evaluated in the main plot and seven weed management treatments, viz. weedy check, hand weeding (HW) at 30 and 50 days after sowing (DAS), atrazine @ 0.75 kg/ha(PE) fb 2,4-D @0.75kg/ha (PoE), atrazine @ 0.75 kg/ha PE, atrazine @ 0.75 kg/ha PE fb tembotrione @ 0.05kg/ha PoE, atrazine @ 0.75kg/ha PE fb tembotrione @ 0.075kg/ha PoE, atrazine @0.75 kg/ha PE fb tembotrione @ 0.10 kg/ha PoE. ZT+R 3t/ha resulted in enhanced growth attributes, and higher NPK uptake which led to increased grain yield. Among weed control treatments, hand weeding (HW) twice at 30 and 50 DAS along with the integration of pre-emergence application of atrazine 0.75kg/ha fb 2,4-D 0.75kg/ha PoE and tembotrione, 0.075 kg/ha or 0.1 kg/ha PoE resulted in better growth attributes which significantly resulted in higher grain yield under rainfed conditions of semi-arid tropics.","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"48 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140461394","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 experiment conducted during the period of 2021-2022 at the Department of Horticulture, AAU, Jorhat, has shown that the timing of transplantation significantly impacts the severity of Alternaria blight in cabbage. The study revealed that the timing of transplanting significantly affects disease severity. The crop transplanted in the month of December exhibited the highest disease intensity (maximum and minimum temperatures 24.76°C and 10.58°C, morning and evening relative humidity 98.41% and 57.13% respectively). The disease intensity was the lowest in October transplanted crops (maximum and minimum temperature 26.94°C and 12.22°C, relative humidity morning 96.12% and evening 55.13% respectively). The December transplanted crop had the highest AUDPC at 1317.75, followed by the February transplanted crop at 1037.85. With respect to the correlation matrix, rainfall and relative humidity showed a strong positive correlation with PDI whereas BSSH and temperature (maximum and minimum) all revealed a negative correlation. The multiple regression analysis revealed a substantial relation between disease intensity and meteorological conditions. The multiple regression equation indicated that the overall influence of all environmental parameters, namely (maximum and minimum) temperature, (morning and evening) relative humidity, rainfall, and BSSH on disease development ranged from 63.19% to 82.94%.
{"title":"Epidemiological study of Alternaria blight of cabbage in Jorhat district of Assam, India","authors":"Jangila Hazowary, Gunadhya Kumar Upamanya, Anurag Kashyap, R. Boro, Sailen Gogoi","doi":"10.36953/ecj.23422608","DOIUrl":"https://doi.org/10.36953/ecj.23422608","url":null,"abstract":"The field experiment conducted during the period of 2021-2022 at the Department of Horticulture, AAU, Jorhat, has shown that the timing of transplantation significantly impacts the severity of Alternaria blight in cabbage. The study revealed that the timing of transplanting significantly affects disease severity. The crop transplanted in the month of December exhibited the highest disease intensity (maximum and minimum temperatures 24.76°C and 10.58°C, morning and evening relative humidity 98.41% and 57.13% respectively). The disease intensity was the lowest in October transplanted crops (maximum and minimum temperature 26.94°C and 12.22°C, relative humidity morning 96.12% and evening 55.13% respectively). The December transplanted crop had the highest AUDPC at 1317.75, followed by the February transplanted crop at 1037.85. With respect to the correlation matrix, rainfall and relative humidity showed a strong positive correlation with PDI whereas BSSH and temperature (maximum and minimum) all revealed a negative correlation. The multiple regression analysis revealed a substantial relation between disease intensity and meteorological conditions. The multiple regression equation indicated that the overall influence of all environmental parameters, namely (maximum and minimum) temperature, (morning and evening) relative humidity, rainfall, and BSSH on disease development ranged from 63.19% to 82.94%.","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"116 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462223","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}
Amarjeet Singh, Kalpesh V. Patel, Rajpal U. Solanki, Ramesh I. Chaudhary, Nilesh K. Chavda
Being a pulse crop, green gram has huge scope in crop improvement in terms of productivity and other yield related parameters. Genetic variability is a preferable option for breeders in breeding programme for varietal development programme and others crop improvement aspect. The present investigation was framed to create the variability in mung bean var. GAM 8 during the seedling period through gamma (γ) irradiation. The significant variation was observed in germination percentage and it was found that dose dependent relationship between the germination rate and dose. Significantly minimum germination percentage (22.38 %) was observed in 700 Gy but optimal lethal dose (LD50) calculated through Probit analysis based on germination percentage was revealed at 540.26 Gy. Data revealed that γ irradiation had significantly reduced the seedling growth parameters such as shoot length (10.05 cm), shoot dry weight (19.68 mg), seedling length (13.90 cm), vigour index I (311.01) and II (509.01) was registered in 700 Gy while minimum root length (3.83 cm) was occurred in 600 Gy γ irradiation. Growth reduction (GR) 50 and 30 with respect to the seedling length was occurred respectively at 1093.79 and 1469.74 Gy. Therefore, this finding as the source of genetic variability would be used in future breeding and crop improvement programme like enhancement of yield potentiality and stress management in mung bean var. GAM 8.
{"title":"Response of gamma irradiation on germination and seedling growth of green gram var. GAM 8","authors":"Amarjeet Singh, Kalpesh V. Patel, Rajpal U. Solanki, Ramesh I. Chaudhary, Nilesh K. Chavda","doi":"10.36953/ecj.23552612","DOIUrl":"https://doi.org/10.36953/ecj.23552612","url":null,"abstract":"Being a pulse crop, green gram has huge scope in crop improvement in terms of productivity and other yield related parameters. Genetic variability is a preferable option for breeders in breeding programme for varietal development programme and others crop improvement aspect. The present investigation was framed to create the variability in mung bean var. GAM 8 during the seedling period through gamma (γ) irradiation. The significant variation was observed in germination percentage and it was found that dose dependent relationship between the germination rate and dose. Significantly minimum germination percentage (22.38 %) was observed in 700 Gy but optimal lethal dose (LD50) calculated through Probit analysis based on germination percentage was revealed at 540.26 Gy. Data revealed that γ irradiation had significantly reduced the seedling growth parameters such as shoot length (10.05 cm), shoot dry weight (19.68 mg), seedling length (13.90 cm), vigour index I (311.01) and II (509.01) was registered in 700 Gy while minimum root length (3.83 cm) was occurred in 600 Gy γ irradiation. Growth reduction (GR) 50 and 30 with respect to the seedling length was occurred respectively at 1093.79 and 1469.74 Gy. Therefore, this finding as the source of genetic variability would be used in future breeding and crop improvement programme like enhancement of yield potentiality and stress management in mung bean var. GAM 8. ","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"83 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462499","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}
Amit Layek, Kaushik Pramanik, Rakesh Das, Pranabesh Nandi, Pranab Debnath
During the rabi season of 2020, a trial was performed to estimate the efficacy of Cyantraniliprole 10.26 % OD at different doses (30, 60, 90, and 120 g a.i./ha respectively) together with Imidacloprid 17.8% SL (20 g a.i./ha) and Spinosad 45% SC (73 g a.i./ha) to evaluate their efficacy against the fruit borer and thrips infesting chilli (variety SHP-4884). The trial was performed in randomized block design containing three replications. The results showed that Cyantraniliprole 10.6% OD @ 120 g a.i./ha was the most efficient insecticide among the others and recorded the maximum reduction (84.13 % in larval population of fruit borer and 78.03 % in thrips population) in both the pest populations over the untreated check. However, Cyantraniliprole 10.6% OD @ 90 g a.i./ha was noted as the next best insecticide.
在 2020 年的蕾期，进行了一项试验，以评估不同剂量（分别为 30、60、90 和 120 克活性成分/公顷）的氰虫酰胺 10.26 % OD 与吡虫啉 17.8% SL（20 克活性成分/公顷）和斯宾诺沙 45% SC（73 克活性成分/公顷）对辣椒（品种 SHP-4884）果蛀虫和蓟马的药效。试验采用随机区组设计，三次重复。结果表明，氰虫酰胺 10.6% OD @ 120 克活性成分/公顷是其他杀虫剂中最有效的杀虫剂，与未处理的对照组相比，两种害虫的数量都有最大程度的减少（果蛀螟幼虫数量减少 84.13%，蓟马数量减少 78.03%）。然而，10.6% OD @ 90 g a.i./ha 的氰烯虫酯被认为是第二好的杀虫剂。
{"title":"Assessing the bioefficacy of Cyantraniliprole 10.26% OD against fruit borer and thrips on chilli under field condition","authors":"Amit Layek, Kaushik Pramanik, Rakesh Das, Pranabesh Nandi, Pranab Debnath","doi":"10.36953/ecj.23362607","DOIUrl":"https://doi.org/10.36953/ecj.23362607","url":null,"abstract":"During the rabi season of 2020, a trial was performed to estimate the efficacy of Cyantraniliprole 10.26 % OD at different doses (30, 60, 90, and 120 g a.i./ha respectively) together with Imidacloprid 17.8% SL (20 g a.i./ha) and Spinosad 45% SC (73 g a.i./ha) to evaluate their efficacy against the fruit borer and thrips infesting chilli (variety SHP-4884). The trial was performed in randomized block design containing three replications. The results showed that Cyantraniliprole 10.6% OD @ 120 g a.i./ha was the most efficient insecticide among the others and recorded the maximum reduction (84.13 % in larval population of fruit borer and 78.03 % in thrips population) in both the pest populations over the untreated check. However, Cyantraniliprole 10.6% OD @ 90 g a.i./ha was noted as the next best insecticide.","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"104 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462115","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}
A field experiment was conducted to investigate the effect of calcium nitrate and magnesium sulfate on the growth and tuber yield in potato (Solanum tuberosum L). Experiment was carried out in split-plot design comprising of nine calcium nitrate and magnesium sulfate treatments i.e.T1- Ca(NO3)2 @ 0.5%, T2- Ca(NO3)2 @ 1%, T3- Ca(NO3)2 @ 2%, T4- MgSO4 @ 0.5%, T5- MgSO4 @ 1%, T6- MgSO4 @ 2%, T7- Ca(NO3)2 @ 1% + MgSO4 @ 1%, T8- Ca(NO3)2 @ 2% + MgSO4 @ 2%, T9- Control on two potato varieties i.e. Kufri Jyoti and Kufri Chandramukhi. Data collected on different parameters were analyzed using CPCS1 software. Among all the calcium nitrate and magnesium sulfate treatments, application of Ca(NO3)2 @ 2% + MgSO4 @ 2% was found to be the best for most of the parameters studied and between the varieties Kufri Jyoti was found highly significant for the different parameters under study. Hence it can be concluded that commercial cultivation of potato in the central region of Punjab can be successfully supplemented with application of Ca (NO3)2 + MgSO4 and variety Kufri Jyoti.
{"title":"Effect of calcium and magnesium nutrition on vegetative growth and tuber yield of potato (Solanum tuberosum)","authors":"Navdeep Singh, Rishu Sharma, Deepak Kumar, Jyoti Verma","doi":"10.36953/ecj.23652613","DOIUrl":"https://doi.org/10.36953/ecj.23652613","url":null,"abstract":"A field experiment was conducted to investigate the effect of calcium nitrate and magnesium sulfate on the growth and tuber yield in potato (Solanum tuberosum L). Experiment was carried out in split-plot design comprising of nine calcium nitrate and magnesium sulfate treatments i.e.T1- Ca(NO3)2 @ 0.5%, T2- Ca(NO3)2 @ 1%, T3- Ca(NO3)2 @ 2%, T4- MgSO4 @ 0.5%, T5- MgSO4 @ 1%, T6- MgSO4 @ 2%, T7- Ca(NO3)2 @ 1% + MgSO4 @ 1%, T8- Ca(NO3)2 @ 2% + MgSO4 @ 2%, T9- Control on two potato varieties i.e. Kufri Jyoti and Kufri Chandramukhi. Data collected on different parameters were analyzed using CPCS1 software. Among all the calcium nitrate and magnesium sulfate treatments, application of Ca(NO3)2 @ 2% + MgSO4 @ 2% was found to be the best for most of the parameters studied and between the varieties Kufri Jyoti was found highly significant for the different parameters under study. Hence it can be concluded that commercial cultivation of potato in the central region of Punjab can be successfully supplemented with application of Ca (NO3)2 + MgSO4 and variety Kufri Jyoti.","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"157 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462477","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 experiment was laid out in Randomized Completely Block Design with three replications. Sixteen genotypes namely, Arka Poornima, Arka Archana, Arka Aadya, Arka Kamini, Arka Shashank, Phule Ganesh White, Phule Ganesh Pink, Phule Ganesh Purple, Phule Ganesh Light pink, Pink Cushion, Arabhavi Aster Collection-1 (AAC-1), Namadhari Pink, Selected line (L-76), Selected line (L-179), Selected line (L-179/1) and Selected line (L-56) have been collected from IIHR, Hessaraghata Lake, Bengaluru, Karnataka for the trial.The different morphological, phenological as well as floral traits have been collected during the crop period which showed significant variation among the evaluated China aster genotypes. The maximum number of flowers per plant was recorded in ‘Arka Aadya’ (71.40) and ‘Arka Shashank’ (66.27) statistically at par with ‘Arka Aadya’ and the highest vase life as cut flower was noticed in Arka Shashank (11.67 days). Flower diameter was maximum in Phule Ganesh White (8.29 cm) which was at par with Arka Poornima (6.92 cm) and Phule Ganesh Purple (6.53 cm). Among the all genotypes, the maximum weight of ten fresh flowers were observed in Arka Poornima (54.17 g) which was statistically at par with Phule Ganesh White (53.61 g). These characters are considered to be very important with respect to commercial value of the variety for fulfil the consumers demand. The genotypes Arka Poornima, Phule Ganesh White, Arka Shashank, Arka Kamini and Arka Aadya may be recommended for commercial cultivation as loose flowers as well as cut flowers in the Terai region of West Bengal.
{"title":"Evaluation of different China aster (Callistephus chinensis L. Nees) genotypes in the Terai region of West Bengal","authors":"Chetan Fhakirappa Mughali, Indrajit Sarkar, Bellapakonda Goutham Kishore, Puspendu Dutta","doi":"10.36953/ecj.23702615","DOIUrl":"https://doi.org/10.36953/ecj.23702615","url":null,"abstract":"The experiment was laid out in Randomized Completely Block Design with three replications. Sixteen genotypes namely, Arka Poornima, Arka Archana, Arka Aadya, Arka Kamini, Arka Shashank, Phule Ganesh White, Phule Ganesh Pink, Phule Ganesh Purple, Phule Ganesh Light pink, Pink Cushion, Arabhavi Aster Collection-1 (AAC-1), Namadhari Pink, Selected line (L-76), Selected line (L-179), Selected line (L-179/1) and Selected line (L-56) have been collected from IIHR, Hessaraghata Lake, Bengaluru, Karnataka for the trial.The different morphological, phenological as well as floral traits have been collected during the crop period which showed significant variation among the evaluated China aster genotypes. The maximum number of flowers per plant was recorded in ‘Arka Aadya’ (71.40) and ‘Arka Shashank’ (66.27) statistically at par with ‘Arka Aadya’ and the highest vase life as cut flower was noticed in Arka Shashank (11.67 days). Flower diameter was maximum in Phule Ganesh White (8.29 cm) which was at par with Arka Poornima (6.92 cm) and Phule Ganesh Purple (6.53 cm). Among the all genotypes, the maximum weight of ten fresh flowers were observed in Arka Poornima (54.17 g) which was statistically at par with Phule Ganesh White (53.61 g). These characters are considered to be very important with respect to commercial value of the variety for fulfil the consumers demand. The genotypes Arka Poornima, Phule Ganesh White, Arka Shashank, Arka Kamini and Arka Aadya may be recommended for commercial cultivation as loose flowers as well as cut flowers in the Terai region of West Bengal.\u0000 ","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"85 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462327","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}
Richa Pandey, Ravinder Kaur, I. Z. Goncalves, Christopher M. U. Neale, Manoj Khanna, Man Singh, Vinay Kumar Sehgal, A. Sarangi, Manjaiah Kanchikeri Math
The current study aims to inter-compare the performance efficiency of the single and the dual source surface energy balance modeling approaches, namely EEFlux and SETMI, respectively for real time catchment scale - crop water demand estimations. For this, the afore-stated two surface energy balance modelling approaches were applied on the Narmada Canal Project, Sanchore, Rajasthan, India for estimating catchment scale actual evapotranspiration (ETa) values for the Rabi cropping seasons of the years 2013-14 and 2018-19, after incorporating the basic satellite data derived inputs viz. Land use, Land surface temperature and Gridded weather data. Due to the non-availability of the catchment scale ground based daily reference evapotranspiration (ETo) values for the study area, the Global Land Data Assimilation System based gridded meteorological data product was utilized, as a substitute for obtaining observed actual evapotranspiration (ETa) values for the investigated Rabi seasons of the study area. These actual evapotranspiration values were compared with those estimated through the single source, EEFlux and the dual source, SETMI modelling approaches to ascertain their comparative performance efficiency through the use of the five statistical indices viz. Mean Absolute Error, Root Mean Square Error, Mean Bias Error, Nash-Sutcliffe Efficiency and the Index of Agreement. The investigations revealed almost at par performance of the two modelling approaches. However, it was concluded that in contrast to the more detailed dual source approach i.e., SETMI, the simple single source approach i.e., EEFlux seemed to be more promising due to its user-friendly implementation and input data automation.
{"title":"Single vs dual source surface energy balance model based actual evapotranspiration estimation","authors":"Richa Pandey, Ravinder Kaur, I. Z. Goncalves, Christopher M. U. Neale, Manoj Khanna, Man Singh, Vinay Kumar Sehgal, A. Sarangi, Manjaiah Kanchikeri Math","doi":"10.36953/ecj.27532611","DOIUrl":"https://doi.org/10.36953/ecj.27532611","url":null,"abstract":"The current study aims to inter-compare the performance efficiency of the single and the dual source surface energy balance modeling approaches, namely EEFlux and SETMI, respectively for real time catchment scale - crop water demand estimations. For this, the afore-stated two surface energy balance modelling approaches were applied on the Narmada Canal Project, Sanchore, Rajasthan, India for estimating catchment scale actual evapotranspiration (ETa) values for the Rabi cropping seasons of the years 2013-14 and 2018-19, after incorporating the basic satellite data derived inputs viz. Land use, Land surface temperature and Gridded weather data. Due to the non-availability of the catchment scale ground based daily reference evapotranspiration (ETo) values for the study area, the Global Land Data Assimilation System based gridded meteorological data product was utilized, as a substitute for obtaining observed actual evapotranspiration (ETa) values for the investigated Rabi seasons of the study area. These actual evapotranspiration values were compared with those estimated through the single source, EEFlux and the dual source, SETMI modelling approaches to ascertain their comparative performance efficiency through the use of the five statistical indices viz. Mean Absolute Error, Root Mean Square Error, Mean Bias Error, Nash-Sutcliffe Efficiency and the Index of Agreement. The investigations revealed almost at par performance of the two modelling approaches. However, it was concluded that in contrast to the more detailed dual source approach i.e., SETMI, the simple single source approach i.e., EEFlux seemed to be more promising due to its user-friendly implementation and input data automation.","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"482 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140502707","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}
Estimating actual crop evapotranspiration is vital in water-scarce environment affected by climate change, particularly for optimizing irrigation and enhancing crop yield. This research focuses on assessing crop water and irrigation requirement for major crops across six districts of Madhya Pradesh, India, spanning diverse agro-climatic regions. Employing CLIMWAT 2.0 and CROPWAT 8.0 software, calculated crop evapotranspiration and devised irrigation strategies tailored to local climatic conditions. The FAO-Penman-Montieth (FAO-PM) equation for reference evapotranspiration (ET0), aiding in crop water requirement computation and irrigation planning. Our findings reveal substantial variations in crop water requirements across crops and districts. For instance, soybean in Indore requires the highest water input at 380 mm, while in Guna, was least at 303 mm. Wheat, on the other hand, register the highest water needs in Khandwa at 510.6 mm and the lowest in the Neemuch district at 370.8 mm, particularly during the rabi season. Besides that, this study underscores the need for district-specific considerations, taking into account climate and soil characteristics when formulating water management strategies. Employing efficient irrigation practices and techniques to manage water stress becomes imperative for optimizing crop yield and achieving economic returns. Implementing customized approaches to enhance water use efficiency and promote sustainability in agricultural production is crucial. These research outcomes provide valuable insights for policymakers, agricultural practitioners, and water resource managers to develop context-specific water management strategies.
{"title":"Estimating crop water requirement in Madhya Pradesh's agro-climatic regions: A CROPWAT and CLIMWAT software case study","authors":"Venkatesh Gaddikeri, Jitendra Rajput, Dimple, Malkhan Singh Jatav, Arti Kumari, Lalita Rana, Ashish Rai, Anshu Gangwar","doi":"10.36953/ecj.26022353","DOIUrl":"https://doi.org/10.36953/ecj.26022353","url":null,"abstract":"Estimating actual crop evapotranspiration is vital in water-scarce environment affected by climate change, particularly for optimizing irrigation and enhancing crop yield. This research focuses on assessing crop water and irrigation requirement for major crops across six districts of Madhya Pradesh, India, spanning diverse agro-climatic regions. Employing CLIMWAT 2.0 and CROPWAT 8.0 software, calculated crop evapotranspiration and devised irrigation strategies tailored to local climatic conditions. The FAO-Penman-Montieth (FAO-PM) equation for reference evapotranspiration (ET0), aiding in crop water requirement computation and irrigation planning. Our findings reveal substantial variations in crop water requirements across crops and districts. For instance, soybean in Indore requires the highest water input at 380 mm, while in Guna, was least at 303 mm. Wheat, on the other hand, register the highest water needs in Khandwa at 510.6 mm and the lowest in the Neemuch district at 370.8 mm, particularly during the rabi season. Besides that, this study underscores the need for district-specific considerations, taking into account climate and soil characteristics when formulating water management strategies. Employing efficient irrigation practices and techniques to manage water stress becomes imperative for optimizing crop yield and achieving economic returns. Implementing customized approaches to enhance water use efficiency and promote sustainability in agricultural production is crucial. These research outcomes provide valuable insights for policymakers, agricultural practitioners, and water resource managers to develop context-specific water management strategies.","PeriodicalId":12035,"journal":{"name":"Environment Conservation Journal","volume":"438 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140502452","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：