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2018 - 20196
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Subject: Agricultural Meteorology ×

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Now showing 1 - 6 of 6
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    ThesisItemOpen Access
    Effect of Different Micro-environment on Growth and Yield of Safflower (Carthamus tinctorius L.) crop in Prayagraj condition
    (DEPT. OF ENVIRONMENTAL SCIENCE & NRM, COLLEGE OF FORESTRY SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE, TECHNOLOGY & SCIENCES, PRAYAGRAJ (U.P.) 211007, 2019) GUPTA, ADESH; Paliwal, Dr. H. B.
    A field experiment was conducted during kharif season 2018-2019 at the Forest Nursery and Research Centre, College of Forestry, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj study the “Effect on temperature and humidity and different sowing dates at growth and yield of safflower in Prayagraj condition”. In India, amid 2018-2019 the world, safflower is grown in 7,52,000 ha with a total production of 6,46,000 tons. India, Kazakhstan, Argentina, the United States and Mexico are leading producers of safflower grown for both seed and oil. India ranks first in Area (40%) and Production (29%) of the safflower grown across the world. In horticulture, heat units are regularly communicated as developing degree days (GDD). Now and then developing degree days are called developing degree units (GDU), however the two terms are indistinguishable. Ascertaining GDD for a particular day utilizes a basic equation that includes subtracting a base or limit temperature from the normal temperature through the afternoon. The base temperature is the limit temperature for which plant development starts. The soil of experimental plot was sandy loam in texture, nearly neutral in soil reaction (pH 6.0), low in organic carbon (0.35%), available N (230 kg ha-1), available P (20 kg ha-1) and available K (189 kg ha-1). Experiment was laid out in Factorial Randomized Block Design with three levels of Nitrogen [(100 kg ha-1), (120 kg ha-1) and (140kg ha-1)] and three levels of Sulphur (20 kg ha-1), (30 kg ha-1) and (40 kg ha-1). There were Nine treatments each replicated three. The result showed that growth attributes viz., Plant height (72.36cm) at 120 DAS, flowering (41.13) at 90 DAS and pod per plant (39.60g) at 90 DAS whereas yield attributes and yield viz., Seed Germination (178.33), Test Weight (53.13), Pod per plant (39.600) and grain yield (34.76q/ha) was recorded highest with the application of 140 kg/ha and 40 kg/ha.
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    ThesisItemOpen Access
    To Study the date of sowing and Agrometeorological Condition on growth and yield of Maize (Zea maize) crop at Prayagraj condition
    (DEPARTMENTOF ENVIRONMENTAL SCIENCE & NRM COLLEGE OF FORESTRY SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE, TECHNOLOGY &SCIENCESPRAYAGRAJ (U.P.) 211007, 2019) Sharma, Ankur; Nath, Dr. Satyendra
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    ThesisItemOpen Access
    “FORECAST OF DROUGHT IN BUNDELKHAND REGION USING THE STANDARDIZED PRECIPITATION INDEX (SPI) AND ARIMA MODEL”
    (DEPARTMENT OF ENVIRONMENTAL SCIENCES & NATURAL RESOURCE MANAGEMENT COLLEGE OF FORESTRY SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE, TECHNOLOGY & SCIENCES PRAYAGRAJ 211007., 2019) IKSHA; Mishra, Dr. Ekta P.
    The Standardized Precipitation Index (SPI) was use to quantify the classification of drought in Bundelkhand Region ( Uttar Pradesh and Madhya Pradesh India). The autoregressive integrated moving average (ARIMA) models were developed to fit and forecast the SPI series. Most of the selected ARIMA models are seasonal models (SARIMA). The ARIMA models demonstrate better capability in short-term forecasting. The absolute percentage errors (APE) between the actual SPIs and the predicted ones for 12-month lead-time are all less on 1-month ahead forecasting. The correlation coefficients between the actual data and the predicted ones are all larger on 12-month lead-time forecasting .Moreover, in this study, the ARIMA models also demonstrate a better forecasting power even on 6 month leading values for SPI9, SPI12, and SPI24. The study also shows that the ARIMA models have a good forecasting capability for the SPI series with longer time scales. The APEs are less for higher SPI series (SPI12 and SPI24). The best model we get from ARIMA was SPI24. It was showing good results and ther for can be considered for further forecasting of drought. To a given lead-time, the correlation coefficient gradually increases with the time scale effectively reduces the noise of the SPI series. Therefore, the selected best ARIMA models developed from the SPI time series can be used for drought forecasting in Bundelkhand.
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    ThesisItemOpen Access
    PARAMETERIZATION OF AQUACROP MODEL FOR IRRIGATION SCHEDULING OF WHEAT CROP IN PRAYAGRAJ REGION OF UTTAR PRADESH
    (DEPARTMENT OF ENVIRONMENTAL SCIENCES & NATURAL RESOURCE MANAGEMENT COLLEGE OF FORESTRY SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE, TECHNOLOGY & SCIENCES PRAYAGRAJ 211007, 2019) MOBEEN, SHAIK; Gautam, Dr. Shweta
    A field experiment was conducted at College of Forestry, SHUATS (U.P) during Rabi 2018-2019 to study the “Parameterization of Aquacrop model for irrigation scheduling of wheat crop in Prayagraj region of Uttar Pradesh”. The experiment was conducted in a randomized block design with 15 treatments (three date of sowing and five irrigation levels) and three replications. The treatments comprises of I1– CRI, I2- CRI +Tillering, I3- CRI + Tillering +Jointing, I4- CRI +Tillering +Jointing +Flowering, I5- CRI +Tillering +Jointing +Flowering +Maturity. The effect of sowing time (November-17, December-02 and December-17) on wheat were assessed on grain yield and biomass yield along with number of tillers, number of leaves, 1000-grain weight and plant height. The experimental soil was sandy loam in texture, alkaline in reaction and non-saline, low in available nitrogen, high in available phosphorous and potassium and medium in organic carbon content. Results shows that wheat variety "PBW 502" produced higher grain yield for early date of sowing as compared to other two date of sowings. When sown on November-17 followed by December-02 and in December-17 with irrigation on CRI, tillering, jointing, anthesis and dough stage (I5) is recommended to obtain higher yield of wheat. In case of irrigation, I5 (on CRI, tillering, jointing, anthesis and dough stage) obtained higher grain yield than first irrigation treatment I1 (CRI). AquaCrop model (v 6.0) adequately simulated the wheat yield, biomass yield of wheat crop. The simulation study shows a clear decreasing trend for wheat yield under late sowing and reducing the irrigation amount of water and show very close and similar for wheat yield.
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    ThesisItemOpen Access
    Effect of Sowing, Dates and Spacing on Growth and Yield of Green gram (Vigna radiata L.) inoculated with Bio-fertilizers in Prayagraj Agroclimatic Conditions
    (DEPARTMENT OF ENVIRONMENTAL SCIENCES & NRM College of Forestry, SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE, TECHNOLOGY & SCIENCES NAINI, PRAYAGRAJ, 2018) CHANDRA, GYANENDRA; Bharose, Dr. Ram
    The present investigation entitled “Effect of Sowing, Dates and Spacing on Growth and Yield of Green gram (Vigna radiate L.) Inoculated with Bio-fertilizers in Prayagraj Agroclimatic Conditions” was conducted at the Department of Environmental Sciences & NRM College of Forestry, Sam Higginbottom University of Agricultural Technology and Sciences Prayagraj during the kharif season of 2017-2018. The treatments comprising three sowing date (28th Jan, 2018), (12th Feb, 2018) and (27th Feb, 2018),three spacing (20 x 10, 25 x 15, 30 x 20) and two levels of bio fertilizer (PSB culture and Rhizhobium culture) were tried in 3x3x2 Randomized Factorial Block Design with three replications. The results revealed that green gram among different sowing dates sowing at D3 (Feb, 2018) was found significantly superior in respect of plant growth and seed yield over D1 28th (Jan, 2018) and D2 12th (Feb, 2018) sowing dates . Mostly of the parameters and yield attributes also attained significantly greater values with spacing 30cm x 20cm were found to be appropriate spacing and fertilizer level, respectively, a range of bacteria, fungi and actinomycetes are known as solubilise phosphorus and enumerated from different sources such as soil and their combination was found in Temperature is the prime weather variable which affects plant life. Heat unit concept is the agronomic application of temperature effect on plant, which has been employed to correlate phonological development in crops. The treatment combination Rhizobium + PSB has been found best in respect of number nodules, seed and stover yield, nitrogen, phosphorus content and its uptake and also in protein content of seed.superior over all other combinations in relation to growth, flowering and yield characters of green gram (Vigna radiata L.) under the Agro-climatic conditions of Prayagraj.
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    ThesisItemOpen Access
    “Assessment of Crop Water Requirement & Irrigation Water Requirement for Vegetable Crops over Uttar Pradesh Using Cropwat Model ”
    (DEPARTMENT OF ENVIRONMENTAL SCIENCES &NRM COLLEGE OF FORESTRY SAM HIGGINBOTTOM UNIVERSITY OF AGRICULTURE, TECHNOLOGY & SCIENCES NAINI, ALLAHABAD 211007, 2018) KUMAR, SHASHANK; Gautam, Dr. Shweta
    Water scarcity becomes a major intimidation to crop production. There are a lot of changes in climate that affects on hydrological process. It will fall directly on agricultural production and productivity. Mostly vegetables are grown under irrigation and very quickly suffered from drought. Supplemental irrigation was essential for good yields. In this manner present study was conducted on water requirements on vegetables (Potato, Pea and Cabbage) over Uttar Pradesh with help of Cropwat software using the weather data of minimum temperature, maximum temperature and rainfall for the period 1980-2014. The analysis were performed in two date of sowing 15th October and 15th November. The seasonal crop water requirement (ETc) and irrigation water requirement (IWR) of potato varied between 271 mm (Bijnor) to 409.1 mm (Lalitpur) and 218 to 360.9 mm respectively for 1st date of sowing. While for 2nd date of sowing ETc and IWR ranged between 287.3 mm (Bijnor) to 439.1 mm (Lalitpur, Jhansi & some parts of Mahoba) and 219.2 mm to 392.7 mm respectively. The ETc and IWR of Pea varied between 206.6 mm to 303.6 271 mm and 184.6 mm to 274.1 mm respectively for 1st date of sowing. While for 2nd date of sowing ETc and IWR ranged between 181.5 mm to 279.7 mm and 145.6 mm to 246.6 mm respectively. The ETc and IWR of Cabbage varied between 388.1 mm to 577.4 mm and 309.5 mm to 519.2 mm respectively for 1st date of sowing. While for 2nd date of sowing ETc and IWR ranged between 453.3 mm to 655.9 mm and 368.4 mm to 604.1 mm respectively. The experimental analysis revealed that early date of sowing (15th October) required less ETc and IWR as compared to other date of sowing. Further to observe the effect of long term climate change (year 2020, 2050 and 2080) on ETc and IWR of Potato were estimated using IPCC AR5 data with RCP 4.5 scenario. Results revealed that with the time ETc and IWR has found to be increased. This study is capable for strategic planning in irrigation management and scheduling in the view of water saving technologies.