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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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  • ThesisItemOpen Access
    EVALUATION OF CROPSYST MODEL FOR RAINFED GROUNDNUT UNDER MIDDLE GUJARAT AGRO-CLIMATIC
    (DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Santosh Tukaram Yadav; Dr. M.M. Lunagaria
    Field experiments were carried out during the kharif seasons of the year 2019 and 2020 in a randomized block design (factorial) with four replications to study “Evaluation of CropSyst model for rainfed groundnut under middle Gujarat agro climatic zone”. The objectives were to calibrate CropSyst for groundnut cultivars under rainfed condition, to validate the CropSyst for rainfed groundnut in middle Gujarat agroclimatic zone and to study water productivity of kharif groundnut using CropSyst.
  • ThesisItemOpen Access
    STUDY OF ASTRO-METEOROLOGICAL TECHNIQUES FOR PREDICTING RAINFALL AND ITS DISTRIBUTION IN GUJARAT
    (DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2020) Vaidya Vidyadhar Bhaskar; Dr. Vyas Pandey
    The study on “Astro-meteorological techniques for predicting rainfall and its distribution in Gujarat” was conducted with an aim to conglomerate the ancient knowledge of astronomy with present day weather forecast and develop relationship between astrological/astronomical parameters with actual rainfall received over the period of time. The study was conducted with the objectives (i) finding out predominant planetary combinations, (ii) classifying and establishing relationship between planetary combinations and start of rainy season, wet spells, extreme rainfall and withdrawal of monsoon and (iii) forecasting and validation of Varahmihir’s Model of seasonal rainfall prediction for 16 locations of Gujarat. Validation of predominant planetary combination model using 35 years data for onset of monsoon, withdrawal of monsoon, wet spell and extreme rainfall at different locations of Gujarat was carried out in independent data (2015-2018).
  • ThesisItemOpen Access
    CALIBRATION OF INFOCROP MODEL (V 1.2) FOR SOYBEAN (Glycin max L.) CULTIVARS UNDER VARYING PLANT SPACING IN MIDDLE GUJARAT CONDITION
    (DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2019) VIBHA TAK; DR. M. M. LUNAGARIA
    Soybean (Glycin max L.) is one of the important oilseed crops of the world occupying 67.62 million hectares of land, with a production of 281.7 million tones (Anon, 2014). It is a unique two-in-one crop, having both high quality protein (43%) and oil (20%) content. It is raised in Kharif where supplemental irrigation facilities are available. The field experiment were carried out during the year 2015 and 2016, aimed to achieve the objectives set forth in laid out with split plot design with four replications to study “Calibration of InfoCrop (V 1.2) model for soybean (Glycin max L.) cultivars under varying plant spacing in middle Gujarat condition’’. The experiment involved three spacing viz., S1 – 45 x 10 cm, S2 – 45 x 5 cm and S3 – 30 x 10 cm as main plot treatments with three different cultivars viz., V1 – GS 2, V2 – GS 1 and V3 – NRC 37 as sub plot treatments.
  • ThesisItemOpen Access
    YIELD SIMULATION MODELING AND EVALUATION OF CLIMATE CHANGE IMPACT ON SUMMER MUNGBEAN (Vigna radiata L.) USING CROPGRO MODEL (DSSAT4.6) UNDER DIFFERENT IRRIGATION REGIMES AND ROW SPACINGS
    (DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2017) Karande Baban Ishwar; Dr. H. R. Patel
    The field experiment was conducted at B. A. College of Agriculture, Anand Agricultural University, Anand to study the “Yield simulation modeling and evaluation of climate change impact on summer mungbean (Vigna radiata L.) using CROPGRO model (DSSAT4.6) under different irrigation regimes and row spacings” during two consecutive years 2015 and 2016 with three irrigation regimes, two varieties and two row spacings. Twelve treatment combinations comprised of three levels of irrigation viz., I1 (0.8 IW: CPE ratio), I2 (0.6 IW: CPE ratio) and I3 (0.4 IW: CPE ratio) in main plot with two varieties viz., V1 (Meha) and V2 (GM-4) and two row spacing S1 (45 cm) and S2 (30 cm) in sub plot were tested in split plot design with three replications.
  • ThesisItemOpen Access
    CALIBRATION AND VALIDATION OF CROPGRO-peanut (DSSAT v.4.6) MODEL FOR SUMMER GROUNDNUT AND SENSITIVITY ANALYSIS TO CLIMATE CHANGE IN MIDDLE GUJARAT
    (DEPARTMENT OF AGRICULTURAL METEOROLOGY B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2017) Mote Balaji Mohan; Dr. Vyas Pandey
    Field experiments were carried out during the summer season of the year 2015 and 2016 was laid out in a split plot design with three date of sowing i.e., (D1- 31st January, D2-15th February, D3- 02nd March) as main plot treatments and four cultivars viz., (V1-GG 2, V2-GG 20, V3-GJG 31 and V4-TG 26) as sub-plot treatment with four replications. The results obtained during the course of study revealed that the weather had played a significant role in deciding the yield of groundnut. The result showed that During 2015 the maximum pod yield (2093 kg ha-1) was recorded under second date of sowing (15th February) and it was statistically at par with first date of sowing (31st January) (1927 kg ha-1) and the lowest pod yield (1724 kg ha-1) was recorded under third date of sowing (02nd March). Similar trends were observed during 2016 also, with slightly higher value of pod yield in comparison to 2015. Similarly in pooled analysis, also the highest pod yield (2107 kg ha-1) was recorded under second date of sowing which was significantly higher than the pod yield recorded under first date of sowing (1939 kg ha-1) and third date of sowing (1767 kg ha-1). During both years and in pooled data highest pod yield was recorded under second date of sowing, It might be due to the late sown crop encountered higher temperature during reproductive period, resulting in shortening the duration and accumulation of higher heat units, resulting lowest pod yield.
  • ThesisItemOpen Access
    CALIBRATION AND VALIDATION OF CROPGRO (DSSAT 4.6) MODEL FOR CHICKPEA (Cicer arietinumL.) UNDER DIFFERENT HYDRO-THERMAL REGIMES OF MIDDLE GUJARAT REGION
    (DEPARTMENT OF AGRICULTURAL METEOROLOGY B.A. COLLEGE OF AGRICULTURE ANAND AGRICULTURALUNIVERSITY ANAND, 2017) Patil Deepak Devidasrao; Dr. H.R.Patel
    A field experiment was conducted for two consecutive years 2014-15 and 2015-16 with three dates of sowing and four irrigation levels. The experiment was laid out in strip plot design. The sowing dates D1-15th October, D2- 30th October and D3- 15th November as main plot treatments with irrigation levels as sub plot treatments namelyI1-Irrigation at critical growth stages, I2- 0.4 IW: CPE, I3- 0.6 IW: CPE and I4- 0.8 IW: CPE to calibrate and validate the CROPGRO (DSSAT 4.6) model for chickpea (Cicer arietinum L.) under different hydro-thermal regimes of middle Gujarat region.
  • ThesisItemOpen Access
    SIMULATION MODELING OF WHEAT YIELD USING WOFOST MODEL UNDER MIDDLE GUJARAT AGRO CLIMATIC REGION
    (AAU, Anand, 2013) MISHRA, SUDHIR KUMAR; Shekh, A. M.
    Crop growth simulation models are useful tools for considering and exploring the complex interactions between a range of factors that affecting crop performance, including weather, soil properties and management. To sustain crop production and to reduce the detrimental effects of varied environmental conditions on crop production, the understanding of crop growth in relation to varying resource input and agro-environments is required for management options. Improved production technology at the farm level is the most crucial starting point for future improvement of productivity of wheat by employing and adapting suitable crop growth simulation models. In addition to this, the use of crop growth simulation models comes handy to the government agencies, trade and industry and for planning about the distribution, storage, processing, and export/import of crop produce besides taking timely policy decisions on fixing levy prices as they provide accurate advance estimation of yields. Crop simulation models are recent tools that have facilitated identification of production constraints and for assisting in agro-technology transfer. In the present investigation, WOFOST (WOrld FOod STudy) v.7.1 model was used to develop genetic coefficients and validate it under Anand conditions by conducting a field experiment on Sandy loam soil during two consecutive Rabi seasons of 2009- 2010 and 2010-2011. The study was carried out for simulation of phenology. growth and yield of four different wheat cultivars (cv. GW 322, GW 496, GW 366 and GW 1139), vahdation of four dates of sowing viz., D1 (1st November), D2 (15th November), D3 30th November and D4 (15th December), cahbration of genetic coefficients of all four different cultivars, carry out the sensitivity analysis of WOFOST model with respect to middle Gujarat agro-climatic region. The cultivar GW 322 performed best during 2009-2010, 2010-2011 and in pooled analysis in producing the grain yield by 3611 kg/ha, 4384 kg/ha and 3998 kg/ha. Among all cultivars, GW 322 performed best (3611 kg/ha in 2009-2010 and 4384 kg/ha in 2010-2011) followed by cultivar GW 496, GW 366 and GW 1139. Although the durum type wheat cultivar GW 1139 yielded least among all cultivars. The yield reduction is more under delayed sowing. Although this cultivar (GW 1139) is cultivated under rainfed conditions in Bhal zone but, under irrigated conditions in Anand its performance was better in terms of duration as well as in yield. The mean maximum temperature of wheat growing season during first year ranged between 30.4 to 31.4 °C while, during second year it was between 28.9 to 31.3 °C under different dates of sowing. Higher maximum temperature caused the reduction in wheat yield. With an increase of 1°C in maximum temperature the wheat yield reduced by 412 kg/ha. Among different stages, the flowering stage was most vulnerable with increase temperature. At this stage, every 1°C increase in the maximum, minimum and mean temperatures respective reduction in yield was 213 kg/ha, 177 kg/ha and 231 kg/ha. Minimum temperature less than 11.5 °C at flowering stage was found more favourable for wheat production. This lower minimum temperature corresponds with the wheat sown on the normal dates (15th November) hence, it is recommended. The association between simulated and observed grain yields of GW 496, GW 366 and GW 1139 cultivars were found satisfactory. Consistently higher grain yields were realized in case of the second date of sowing (15th November) during both the years and the yields were statistically significant for the pooled data over the years. Average minimum temperature in D2 sowing around 11.5°C around 70 DAS and 8.4°C at 60 DAS in 2009-2010 and 2010-2011, respectively seemed to have contributed to yields under D2 being higher than those under D1, D3 and D4. The average minimum temperature in D2 sowing was found the lowest and prevalence of lower mean temperature during flowering and milking stage during both the years were found favourable for higher grain yield. The WOFOST model was superior to InfoCrop and DSSAT crop simulation models in simulation of days to anthesis and maturity of wheat crop. Various test criteria were applied to validate the performance of the model. The simulation performance of grain yield was found better in 2009- 2010 than in 2010-2011. The calibrated WOFOST model performed well for simulating phenological stages (viz., anthesis and physiological maturity) with error percent less than 4.03%. Similarly, the error percent was less than 8.48 for simulation of grain and biomass production. Hence, this model can be used for simulating the phenology and yield of wheat cultivars. Highest error 9.34% was noticed in simulation of leaf area index by InfoCrop and 9.21% by DSSAT model. The comparison of WOFOST with DSSAT and InfoCrop models suggested the superiority of WOFOST over others as it was evident from least percent error in simulating phenology, yield and yield attributes of wheat. The DSSAT models also simulated the phenology, yield and yield attributes of wheat close to the observed. This model estimated the yield, biomass and harvest index with percent error less than 7.83, -5.5 and 11.47, respectively. Index of agreement from all three models was more than 0.95 in simulations of various growth and yield components of wheat cultivars under varied environmental conditions reveal the accuracy of models.
  • ThesisItemOpen Access
    CALIBRATION AND VALIDATION OF CROPGRO (DSSAT 4.6) MODEL FOR CHICKPEA (Cicer arietinum L.) UNDER DIFFERENT HYDRO-THERMAL REGIMES OF MIDDLE GUJARAT REGION
    (AAU, Anand, 2017) PATIL DEEPAK DEVIDASRAO; Dr. H. R. Patel
    A field experiment was conducted for two consecutive years 2014-15 and 2015-16 with three dates of sowing and four irrigation levels. The experiment was laid out in strip plot design. The sowing dates D1- 15th October, D2- 30th October and D3- 15th November as main plot treatments with irrigation levels as sub plot treatments namely I1- Irrigation at critical growth stages, I2- 0.4 IW: CPE, I3- 0.6 IW: CPE and I4- 0.8 IW: CPE to calibrate and validate the CROPGRO (DSSAT 4.6) model for chickpea (Cicer arietinum L.) under different hydro-thermal regimes of middle Gujarat region. Significant differences in the seed yield were observed during both the years individually and also pooled. However, the differences were higher for D2 (2179 kg ha-1) than D3 (2079 kg ha-1) and D1 (1853 kg ha-1) dates of sowing during 2014-15. Whereas, during 2015-16 the differences in seed yield of chickpea sown on D2 (2075 kg ha-1) being at ……………………………………………………………………………….Abstract ii par with D3 (1949 kg ha-1) sowing were significantly higher than D1 (1729 kg ha-1). Under pooled results significantly highest seed yield (2126 kg ha-1) was recorded under D2 sowing. Among the different irrigation treatments, the differences in the seed yield were significantly higher for I3 (2230 kg ha-1) irrigation treatment being at par with I1 (2064 kg ha-1) irrigation treatment than I4 (1992 kg ha-1) and I2 (1861 kg ha-1) respectively, during 2014-15. Whereas, the seed yield of chickpea for irrigation treatment I3 was significantly higher (2153 kg ha-1) being at par with I1 (2013 kg ha-1) irrigation treatment than I4 (1861 kg ha-1) and I2 (1728 kg ha-1) during 2015-16. Under pooled results significantly highest seed yield (2191 kg ha-1) was recorded under I3 irrigation treatment as compared to rest of the irrigation treatments. By studying the role of weather variables on chickpea in terms of seed yield, it is noticed that best performance of D2 sowing was observed and this was mainly attributed to more congenial weather i.e Tmin ranged from 8.6 to 22.6 0C during 2014-15 and it ranged from 6.6 to 20.7 0C during 2015-16, while Tmax ranged from 23.8 to 37 0C during 2014-15 and 27.3 to 38.8 0C during 2015-16 that prevailed during this period as compared to the weather that prevailed during the D1 and D3. The soil moisture content under I2 irrigation treatment experienced <10 % for higher duration as compared to I4 irrigation treatment under all the dates of sowing. This soil moisture stress was clearly reflected in lower biomass, LAI and seed yield in all the dates of sowing. ……………………………………………………………………………….Abstract iii The periodic dry matter production was observed higher under I4 irrigation treatment as compared to other irrigation treatments in all the dates of sowing during both the year of experiment due to higher vegetative growth and leaf area index due to higher frequency of irrigation levels. While it was found lower under I2 irrigation treatment as compared to other irrigation treatment in all the dates of sowing during both the year due to higher water deficit and lower frequency of irrigation. Therefore, finally it is concluded that sowing of chickpea should be done on 30th October to achieve higher seed yield. Irrigation at 0.6 IW: CPE is preferable under 30th October sowing. The overall performance of the model based on the test criterion to evaluate the CROPGRO- Chickpea model for phenological and yield attributes of three dates of sowing D1- 15th October, D2- 30th October and D3- 15th November and four irrigation levels I1- Irrigation at critical growth stages, I2- 0.4 IW: CPE ratio, I3- 0.6 IW: CPE ratio and I4- 0.8 IW: CPE ratio clearly indicated that simulation for seed yield was better with reasonable error. The decrease in seed yield with early and delayed sowing as observed in experiment was well simulated by the model. However, under higher irrigation frequency, the model simulated moderately higher seed yield. Model output showed that the simulated values of phenology, growth parameters and seed yield of chickpea were close to the corresponding observed values. Thus, the model could be used to predict the seed yield accurately under different management conditions
  • ThesisItemOpen Access
    CALIBRATION AND VALIDATION OF CROPGRO (DSSAT 4.6) MODEL FOR CHICKPEA (Cicer arietinum L.) UNDER DIFFERENT HYDRO-THERMAL REGIMES OF MIDDLE GUJARAT REGION
    (AAU, Anand, 2017) PATIL DEEPAK DEVIDASRAO; Dr. H. R. Patel
    A field experiment was conducted for two consecutive years 2014-15 and 2015-16 with three dates of sowing and four irrigation levels. The experiment was laid out in strip plot design. The sowing dates D1- 15th October, D2- 30th October and D3- 15th November as main plot treatments with irrigation levels as sub plot treatments namely I1- Irrigation at critical growth stages, I2- 0.4 IW: CPE, I3- 0.6 IW: CPE and I4- 0.8 IW: CPE to calibrate and validate the CROPGRO (DSSAT 4.6) model for chickpea (Cicer arietinum L.) under different hydro-thermal regimes of middle Gujarat region. Significant differences in the seed yield were observed during both the years individually and also pooled. However, the differences were higher for D2 (2179 kg ha-1) than D3 (2079 kg ha-1) and D1 (1853 kg ha-1) dates of sowing during 2014-15. Whereas, during 2015-16 the differences in seed yield of chickpea sown on D2 (2075 kg ha-1) being at ……………………………………………………………………………….Abstract ii par with D3 (1949 kg ha-1) sowing were significantly higher than D1 (1729 kg ha-1). Under pooled results significantly highest seed yield (2126 kg ha-1) was recorded under D2 sowing. Among the different irrigation treatments, the differences in the seed yield were significantly higher for I3 (2230 kg ha-1) irrigation treatment being at par with I1 (2064 kg ha-1) irrigation treatment than I4 (1992 kg ha-1) and I2 (1861 kg ha-1) respectively, during 2014-15. Whereas, the seed yield of chickpea for irrigation treatment I3 was significantly higher (2153 kg ha-1) being at par with I1 (2013 kg ha-1) irrigation treatment than I4 (1861 kg ha-1) and I2 (1728 kg ha-1) during 2015-16. Under pooled results significantly highest seed yield (2191 kg ha-1) was recorded under I3 irrigation treatment as compared to rest of the irrigation treatments. By studying the role of weather variables on chickpea in terms of seed yield, it is noticed that best performance of D2 sowing was observed and this was mainly attributed to more congenial weather i.e Tmin ranged from 8.6 to 22.6 0C during 2014-15 and it ranged from 6.6 to 20.7 0C during 2015-16, while Tmax ranged from 23.8 to 37 0C during 2014-15 and 27.3 to 38.8 0C during 2015-16 that prevailed during this period as compared to the weather that prevailed during the D1 and D3. The soil moisture content under I2 irrigation treatment experienced <10 % for higher duration as compared to I4 irrigation treatment under all the dates of sowing. This soil moisture stress was clearly reflected in lower biomass, LAI and seed yield in all the dates of sowing. ……………………………………………………………………………….Abstract iii The periodic dry matter production was observed higher under I4 irrigation treatment as compared to other irrigation treatments in all the dates of sowing during both the year of experiment due to higher vegetative growth and leaf area index due to higher frequency of irrigation levels. While it was found lower under I2 irrigation treatment as compared to other irrigation treatment in all the dates of sowing during both the year due to higher water deficit and lower frequency of irrigation. Therefore, finally it is concluded that sowing of chickpea should be done on 30th October to achieve higher seed yield. Irrigation at 0.6 IW: CPE is preferable under 30th October sowing. The overall performance of the model based on the test criterion to evaluate the CROPGRO- Chickpea model for phenological and yield attributes of three dates of sowing D1- 15th October, D2- 30th October and D3- 15th November and four irrigation levels I1- Irrigation at critical growth stages, I2- 0.4 IW: CPE ratio, I3- 0.6 IW: CPE ratio and I4- 0.8 IW: CPE ratio clearly indicated that simulation for seed yield was better with reasonable error. The decrease in seed yield with early and delayed sowing as observed in experiment was well simulated by the model. However, under higher irrigation frequency, the model simulated moderately higher seed yield. Model output showed that the simulated values of phenology, growth parameters and seed yield of chickpea were close to the corresponding observed values. Thus, the model could be used to predict the seed yield accurately under different management conditions.