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Anand Agricultural University, Anand

Anand Agricultural University (AAU) was established in 2004 at Anand with the support of the Government of Gujarat, Act No.(Guj 5 of 2004) dated April 29, 2004. Caved out of the erstwhile Gujarat Agricultural University (GAU), the dream institution of Sardar Vallabhbhai Patel and Dr. K. M. Munshi, the AAU was set up to provide support to the farming community in three facets namely education, research and extension activities in Agriculture, Horticulture Engineering, product Processing and Home Science. At present there seven Colleges, seventeen Research Centers and six Extension Education Institute working in nine districts of Gujarat namely Ahmedabad, Anand, Dahod, Kheda, Panchmahal, Vadodara, Mahisagar, Botad and Chhotaudepur AAU's activities have expanded to span newer commodity sectors such as soil health card, bio-diesel, medicinal plants apart from the mandatory ones like rice, maize, tobacco, vegetable crops, fruit crops, forage crops, animal breeding, nutrition and dairy products etc. the core of AAU's operating philosophy however, continues to create the partnership between the rural people and committed academic as the basic for sustainable rural development. In pursuing its various programmes AAU's overall mission is to promote sustainable growth and economic independence in rural society. AAU aims to do this through education, research and extension education. Thus, AAU works towards the empowerment of the farmers.

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2010 - 20158
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Subject: Agricultural Meteorology × End date: 2015 × Start date: 2010 × Type: Thesis × Thesis Type: M.Sc ×
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Now showing 1 - 8 of 8
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    ThesisItemOpen Access
    HEAT UNIT REQUIREMENT AND VALIDATION OF INFOCROP MODEL FOR Bt- COTTON IN MIDDLE GUJARAT AGROCLIMATIC REGION
    (AAU, Anand, 2014) Tak, Vibha; Pandey, Vyas
    Cotton [Gossypium hirsutum.) is one of the important fibre crop grown in tropical and sub-tropical regions of World. It being long duration its response to yield varies with variety and sowing time. It is raised in fchanf supplemental irrigation facilities are available. Bt-cotton is now being grown in most parts of Gujarat. Since the effect of weather on crop yield is complex, it needs deeper and clear understanding of climatic factors affecting the growth and yield of cotton. A field experiment was conducted during the kharif season of the year 2012 at Agronomy farm of B. A. College of Agriculture. In a split plot design with two Bt-cotton cultivars viz., Vikram-5 (Vi) and RCH-2 (V2) as a main plot treatment and three dates of sowing 25th May (Di), 10th J u n e (D2)and 25th June (D3) as sub-plot treatment with four replications. Three dates of sowing provided three different environment in terms of thermal and moisture regimes. The results indicated that the total crop duration varied with the dates of sowing. The crop life period was found to be shortened with delay in sowing, more pronounced being in cultivar Vikram-5. The seed cotton yield as well as total biomass yield of cotton as influenced by different treatments showed that the first date of sowing (Di) had produced significantly higher seed cotton yield as well as total biomass. A similar trend was also found in the yield attributing characters viz.,, plant height and number of boll per plant. Yield and yield attributes characters were found to decrease with delayed sowing. There was no significant difference between the varieties, though RCH-2 yield higher than Vikram-5. The results obtained during the course of study revealed that the different agrometeorological indices had played a significant role in deciding the growth and yield of cotton. The agrometeorological indices were found to affect the crop growth, development and yield differently in different phenophases during its growing period. Accumulated growing degree days (GDD) utilized by two cultivars of cotton to attain the maturity differed with three dates of sowing. The helio thermal unit (HTU) and photo thermal unit (PTU) were found to have similar effect as that of GDD. The heat use efficiency of Btcotton was also found maximum under 25th May sown crop and it decreased with delay in sowing. Correlation studies revealed that agrometeorological indices had highly significant positive association indices. The InfoCrop model was tested and validated for two cultivars of Bt-cotton {Gossypium hirsutum). Using the observed data sets of the cotton crop, the model was calibrated for genetic coefficients of two cultivars viz., Vikram-5 and RCH-2. Model showed its capability to predict phenology, maximum LAI, biomass and seed cotton yield of Btcotton. The simulated values were found to be very close to the observed data. The model performance was adjudged using various statistical parameters viz., mean absolute error (MAE), mean bias error (MBE), root mean square error (RMSE) and percent error (PE). The results showed that these values were within the acceptable limit. The seed cotton yield, biomass yield and maximum LAI were predicted accurately by the model with percent error of less than ±5 %. The results indicated that under biotic stress-free simulations, the InfoCrop model can be used to predict cotton 5deld under different environments for two cultivars of Bt-cotton.
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    ThesisItemOpen Access
    “DEVELOPMENT OF MODEL FOR SIMULATING HOURLY POTENTIAL EVAPOTRANSPIRATION FROM DAILY DATA
    (Anand Agricultural University, Anand, 2014) Vasani M.J.; Dr. Vyas Pandey
    Potential evapotranspiration (PET) is an important agrometeorological parameter which has been used for different purposes viz. water balance study, computing crop water requirement, irrigation scheduling, climatic classification, etc. This types of activity are carried out by computing actual water requirement of crop on daily basis by using the different weather parameters that affect it.
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    ThesisItemOpen Access
    WEATHER EFFECT ON PEST-DISEASE OF OKRA IN SUMMER
    (Anand Agricultural University, Anand, 2010) Sevak Das; Dr. Vyas Pandey
    Okra (Abelmoschus esculentus L.) is one of the most popular vegetable grown in tropical and sub-tropical regions. It is widely grown for its tender fruits, which are good source of minerals, fibers and vitamins. Okra crop suffers heavy yield losses during cultivation in both summer and rainy seasons due to pests and diseases infestation owing to congenial environmental conditions. Jassid, aphid, whitefly, mite, fruit borer and yellow vein mosaic are the major pests and diseases of okra. Weather plays an important role for initiation and development of pests and diseases in summer okra as well as determined the yield of okra in terms of quality and quantity. Keeping above in view, the field experiment was conducted in summer season 2009 at Agronomy Farm of B.A. College of Agriculture, Anand Agricultural University, Anand in split plot design with five dates of sowing viz. 15th February (D1), 1st March (D2), 15th March (D3), 1st April (D4) and 15th April (D5) as a main plot treatments and two levels of spraying (S0 and S1) as a sub plot treatments with four replications. The daily weather data were collected from agrometeorological observatory situated near the experimental site. The daily weather data were converted into weekly
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    ThesisItemOpen Access
    Assessment of climate change under A2 scenario and its effect on groundnut (Arachis hypogaea L.) yield using DSSAT model for Rajkot district of North-Saurashtra Agro-climatic zone
    (Anand Agricultural University, Anand, 2012) PRAVINSINH K. PARMAR; Dr. H. R. Patel
    The agriculture sector is one of the most riski sector due to the changing impacts of climate change. Changes in temperature, rainfall, extreme events, water flows and atmospheric content has a mixture of positive and negative implication on plant growth, livestock performance and water supply, as well as for soil characteristics, pest and diseases. Thus, the agriculture is likely to face changing conditions and may be at risk. In view of this fact it is high time to evaluate regional crop response to projected climate change. Various adaptations measures and introduction of temperature/drought tolerant cultivars will alleviate the impact of climate change on agricultural crops. The climate change impact assessment on groundnut yield of Rajkot station (200 18' N latitude and 700 56' E longitude) was worked out using the PRECIS model output in A2 scenario and baseline data.
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    ThesisItemOpen Access
    SCENARIO AND ITS EFFECT ON MAIZE (Zea mays L.) YIELD USING INFOCROP MODEL FOR DAHOD DISTRICT OF MIDDLE GUJARAT AGRO CLIMATIC ZONE
    (Anand Agricultural University, Anand, 2011) Divesh Choudhary; Dr. H. R. Patel
    The impact of climate change on agriculture sector is well known. Agricultural output of tropical region will be reduced due to increase in temperature and large uncertainties in monsoon pattern. In view of this fact it is high time to evaluate regional crop response to projected climate change. Various adaptations measures and introduction of temperature/drought tolerant cultivars will alleviate the impact of climate change on agricultural crops. The climate change impact assessment on maize yield, of Dahod station (200 50’ N latitude and 750 18’ E longitudes) was worked out using the PRECIS model output in A2 scenario and baseline data. Maize yield simulation for projected and baseline period was carried out using the InfoCrop model. The InfoCrop model was calibrated and validated for kharif
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    ThesisItemOpen Access
    “ASSESSMENT OF MUSTARD YIELD RESPONSE UNDER DIFFERENT IRRIGATION LEVELS USING CROPWAT MODEL IN MIDDLE GUJARAT CONDITIONS”
    (Anand Agricultural University, Anand, 2012) PATIL DEEPAK DEVIDASRAO; H.R.Patel
    A field experiment was carried out at college Agronomy Farm, B. A. College of Agriculture, Anand Agricultural University, Anand during rabi season of the year 2011-2012 with a view to study the “Assessment of mustard yield response under different irrigation levels using CROPWAT model in middle Gujarat conditions”
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    ThesisItemOpen Access
    “Assessment of water requirement and irrigation scheduling of wheat using CROPWAT model
    (Anand Agricultural University, Anand, 2012) MUKESH KUMAR NAYAK; Dr. H. R. Patel
    A field experiment was carried out at Agronomy Farm, B. A. College of Agriculture, Anand Agricultural University, Anand during rabi season of the year 2011- 2012 with a view to study the “Assessment of water requirement and irrigation scheduling of wheat using CROPWAT model”.
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    ThesisItemOpen Access