Thumbnail Image

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.

Browse

20172
Reset filters
Subject: Agricultural Meteorology × Author: PATIL DEEPAK DEVIDASRAO × Start date: 1960 × Type: Thesis × Thesis Type: Ph.D ×
Reset filters

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    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
  • Thumbnail Image
    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.