Junagadh Agricultural University, Junagadh
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OtherItem Open Access 10th_convo_Chief_guest_speech.(2015-01-20) Junagadh Agricultural University, JunagadhOtherItem Open Access 11th_convo_Chief_guest_speech.(2016-01-16) Junagadh Agricultural University, JunagadhOtherItem Open Access 1st_convo_Chief_guest_speech(2006) Junagadh Agricultural University, JunagadhOtherItem Open Access 3rd_convo_Chief_guest_speech(2008-02-27) Junagadh Agricultural University, JunagadhOtherItem Open Access 4th_convo_Chief_guest_speech.(2009-04-09) Junagadh Agricultural University, JunagadhOtherItem Open Access 5th_convo_Chief_guest_speech(2010-01-29) Junagadh Agricultural University, JunagadhOtherItem Open Access 6th_convo_Chief_guest_speech.(2011-01-15) Junagadh Agricultural University, JunagadhOtherItem Open Access 7th_convo_Chief_guest_speech(2012-01-04) Junagadh Agricultural University, JunagadhOtherItem Open Access 8th_convo_Chief_guest_speech.(2013-01-17) Junagadh Agricultural University, JunagadhOtherItem Open Access 9th_convo_Chief_guest_speech(2014-01-15) Junagadh Agricultural University, JunagadhThesisItem Open Access A COMPARISON OF ALGEBRAIC MODELS TO DESCRIBE THE LACTATION CURVES IN JAFARABADI BUFFALO 3384(JAU JUNAGADH, 2021-09) CHUDASAMA HARSHAL MOHANLAL; N. J. Rankja; 2010118020Jafarabadi buffalo, lactation, lactation curves, Algebraic models, coefficient of determination (R2 ), Deviation from regression sum of square (DSS), Milk yield. The present investigation aims to compare the efficiency of seven Algebraic models with respect to weekly milk yield records of Jafarabadi buffalo. The weekly milk yield (litre) data were collected for 357 record of six lactations covering the period from 2009 to 2018 of the Cattle Breeding Farm, Junagadh Agriculture University, Junagadh. The weekly milk yield records of 43 weeks for each of the six lactations and average of all the six lactations (overall) were subjected to statistical analysis based on seven different models viz., Inverse polynomial, Gamma type, Parabolic exponential, Exponential, Quadratic, Quadratic cum log and model proposed by Morant and Gnanasakthy using non-linear fitting approach. The two criteria employed to judge the efficiency of different models were coefficient of determination (R2 ) and deviation from regression sum of squares (DSS). Apart from this, different characteristics viz., initial milk yield (litre/week), peak milk yield (litre), time to attain peak milk yield (week), 43rd week milk yield (litre), rate of increase (litre), rate of decrease (litre) and total milk yield (litre/lactation) were estimated and compared with the observed data in each lactation and overall, i.e. average of six lactations. The Quadratic cum log model was found most efficient based on both the criteria i.e. R2 and DSS. Next in order was Gamma model followed by Parabolic exponential for all the six lactations and overall basis (average of six lactations). Since both the criteria i.e. R2 and DSS were highly negatively correlated either of them can be considered for comparing efficiency of different algebraic models. It was also observed that the variation in coefficient of determination (R2 ) was less for all the models tried in each of the lactation whereas it was comprehensive in the case of deviation from regression sum of squares (DSS). Various useful characteristics of lactation curve viz., initial milk yield, peak milk yield, time to attain peak milk yield, milk yield in 43re week (last week), rising and declining phases and total milk yield were estimated for four out of seven models, i.e. Gamma type model, Quadratic cum log model, Quadratic model and Inverse polynomial model. These models were compared for various characteristics based on observed records. Inverse polynomial model, model proposed by Morant and Gnanasakthy and Exponential models were excluded from comparison as they did not provide logical estimates for these characteristics. Performance of the models varied with the characteristics of milk yield of different lactations. Gamma type model was found most efficient for time to attain peak milk yield and rate of increase. However, Gamma model showed superiority to predict rate of decrease. To predict initial milk yield as well as peak milk yield, Quadratic cum log model was found superior as compared to rest of the models. Quadratic model less efficiency to estimate various characteristics of milk yield records of Jafarabadi buffaloThesisItem Open Access A CRITICAL STUDY ON GENERATION OF FARMERS’ CONTEMPORARY INNOVATIONS AND RE-INVENTIONS IN SAURASHTRA REGION 3670(JAU,JUNAGADH, 2023-05) VAGHASIYA KRUPALI PARSOTAMBHAI; Dr. N. B. Jadav; 1010120029An innovation in agriculture has been the basis for increasing agricultural productivity and promoting agricultural development. Over the years, farmers also selected several varieties that had higher productivity and better quality. Farmers have also developed new and low-cost technologies to preserve process and package various farm products both for increased shelf life and better market opportunities. Although farmers’ innovations and re-inventions have always been happening but quite slowly and has seldom been recognized by communities itself and the scientists also. It so, because of the key actors’ innovation process is not working closely with each other. The significance of farmers' innovations and re-inventions however ranges from being useful only to the individual farmer, sometimes even limited to specific circumstances to a wider range of application that can be used by many farmers. With this consideration, the problem entitled “A critical study on generation of farmers’ innovations and re-inventions in Saurashtra region” was undertaken.ThesisItem Open Access ACCUMULATION OF HEAVY METALS UNDER INTENSIVE CROPPING WITH LONG TERM FERTILIZER APPLICATION IN CALCAREOUS VERTIC USTOCREPTS SOILS(jau,junagadh, 2012-07) Mr. T. N. Parmar; Dr. N. M. ZalawadiaABSTRACT Farmers use very large amounts of fertilizers to obtain maximum yield for relatively high economic value of the extra yields and difficulties in the accurate management of fertilizer application. At present, overuse of fertilizers in agriculture contributes to environmental deterioration of great concern nationally and internationally. Fertilizer application rate in agricultural area have increased dramatically in last two decades. Based on interview with farmers and the information available at different agricultural centers of Saurashtra region, the application of fertilizers in this area is more than land requirements of different crops, which can result in long run the high amount of heavy metals accumulation in the soil. Since the soils are calcareous in nature the various pools of heavy metals and its availability in are not clearly understood. Keeping this in mind, a long term fertilizer experiment (LTFE) was started in the year 1999 at Instructional Farm, College of Agriculture, Junagadh Agricultural University at Junagadh to know the effect of continuous application of fertilizers (0, 50, 100 and 150 % recommended dose of N, P, K with and without Rhizobium and PSM) and manure (FYM @ 10 and 25 t/ha) on accumulation of heavy metals under groundnut-wheat sequence. After harvesting of wheat crop, the soil samples were drawn periodically at the interval of 1st, 4th, 8th and 12th years and analysed for Cu, Mn, Zn, Fe, Cd, Cr, Ni and Pb. The results revealed that the application of FYM and fertilizer significantly increased groundnut pod and haulm yield over control. The significantly highest groundnut pod and haulm yield were recorded after 8th and 12th years with the application of 50 % NPK of recommended dose of G’nut + FYM @ 10 t ha-1 to groundnut crop. While, the grain and straw yield of wheat crop were significantly observed higher with the application of 100% NPK recommended dose at all the four years (1st, 4th, 8th and 12th years). The DTPA available Cu significantly increased with FYM and fertilizer at 4th, 8th and 12th years after harvesting of wheat crop. The pooled analysis indicated that highest DTPA available Cu was recorded with FYM @ 25 t ha-1 to G’nut over control. Similar trend was also observed in the case of DTPA available Mn. The application of FYM @ 25 t ha-1 significantly improved Zn content after 8th and 12th years over control. While, in case of the DTPA available Fe after 8th and 12th years were recorded highest with the application of 100 % NPK of recommended doses in G’nut-wheat sequence. Among the different heavy metals, DTPA available Cd, Cr, Ni and Pb were significantly highest recorded with the application of 100 % NPK of recommended doses in G’nut-wheat sequence (P as SSP) at all the four years. Similar trend was also observed in case of all the heavy metals in pooled analysis after harvesting of wheat crop at 12th year. The Y x T interaction effect of Cu, Zn, Fe and Cr was observed significant in pooled analysis after 12th years harvesting of wheat crop. The Y x T interaction effect clearly indicated that the continuous cropping (G’nut-wheat sequence) with and without fertilizer treatments after a span of 12 years, the accumulation of Fe, Zn, Mn, Cd, Pb, Ni and Cr were increased 136%, 42%, 23%, 39%, 35%, 32% and 24%, respectively over initial year of the experimentation. While, the Cu was decreased from its initial value of 1.387 ppm to 1.030 ppm. Moreover, these results clearly showed that the application of FYM with fertilizer increased availability of Fe and Zn in the soil and above the maximum permissible limit. While, the Zn, Cd, Cr, Ni and Pb were observed under the permissible limit. Correlation analysis showed that groundnut pod and haulm yield have significant positive relationship with available Cu, Fe, Cd, Ni, and Cr. The wheat grain and straw yield have significant positive relationship with available Mn, Zn, Fe, Cr, Pb and Ni. The correlation of two heavy metals in pooled analysis showed significant positive relationship between (Cd-Cr), (Cd-Fe), (Cd-Mn), (Cd-Zn), (Cr-Fe), (Cr-Mn), (Cr-Zn), (Ni-Pb), (Ni-Fe), (Cu-Mn) and (Cu-Fe). The regression analysis revealed that DTPA available Cu influenced only groundnut pod yield. While, DTPA available Cr influenced grain and straw yield of wheat and also haulm yield of groundnut crop to the maximum extent.ThesisItem Open Access ACREAGE RESPONSE AND RESOURCE USE EFFICIENCY OF CORIANDER IN JUNAGADH DISTRICT 3581(JAU,JUNAGADH, 2022-09) SOLANKI ANKITA DAMJIBHAI; Dr. J. D. BhattThe study on “Acreage response and resource use efficiency of coriander in Junagadh district” was undertaken to measure the objectives viz., analysis of growth performance and acreage response of coriander crop, examine the resource use efficiency, economic viability of coriander crop and adoption level. The study was carried out in two talukas of Junagadh district. Multistage sampling technique was used. A total of 120 coriander farmers were selected for the study. Exponential function, Nerlovian adjustment lagged model, Cobb Douglas production function, cost concept and adoption index were used for the study. It was concluded that growth rate of coriander crop in period I was highest. The lagged area, yield risk and rainfall were non-significant. The regression co-efficient for coriander price risk, lagged yield and yield risk were positive and statistically significant at 5 per cent in this district. For resource use efficiency, cost of plant protection and cost of irrigation resource were found negative. MVP: MFC ratiowas less than unity for land holding, human labour, cost of seed and cost of fertilizer indicated that these resources were under-utilized and area under cultivation and land holding were over utilized. Coriander growers of Junagadh district get a good return from a cultivation. It was also concluded that farmers had medium level of adoption with respect to improved cultivation practices of coriander.ThesisItem Open Access ADOPTION AND RESOURCE USE EFFICIENCY OF SOYBEAN IN JUNAGADH DISTRICT 3692(JAU,JUNAGADH, 2023-06) MER HITENBHAI DASABHAI; Dr. N. M. Thaker; 2072121012The study on “adoption and resource use efficiency of soybean in junagadh district” was undertaken to me assure the objectives of to analyze the growth performance and adoption level of farmers examine the satisfaction level, resource use and constraint. The study was carried out in Junagadh district. Multistage sampling technique was used. A total of 120 soybean farmers were selected for the study. Exponential function or the semi-log equation, adoption level index, Cobb-Douglas function, Likert scale and Garrett’s ranking technique were used for the study. This study focuses on soybean cultivation in Junagadh district, revealing a positive growth trend in terms of increased cultivation area and overall production. However, the productivity growth rate was relatively lower, indicating the need to enhance yield per unit of cultivated area for improved efficiency. Farmers showed a medium level of adoption of improved cultivation practice. Efficient resource allocation, particularly in fertilizer and seed costs, is emphasized for maximizing output value and productivity in soybean crop production. Regarding promotional and developmental activities, a significant percentage of farmers expressed satisfaction, while others remained neutral or dissatisfied. Farmers face various constraints in both production and marketing, including pest and disease control, labor availability, market intelligence, pricing, storage and transportation.ThesisItem Open Access ADOPTION AND SATISFACTION OF BIO FERTILIZER USERS IN RAJKOT DISTRICT 3488(JAU JUNAGADH, 2022-08) Movaliya Pratik B. Dr. H. Y. Maheta; Movaliya Pratik B. Dr. H. Y. MahetaThesisItem Open Access ADOPTION AND USE INTENSITY OF PESTICIDE IN JUNAGADH DISTRICT 3331(JAU, JUNAGADH, 2021-09) ADOPTION AND USE INTENSITY OF PESTICIDE IN JUNAGADH DISTRICT 3331; Dr. H. Y. MahetaThe research study on “Adoption and use intensity of pesticide in Junagadh district” was undertaken. The Junagadh district was selected for research. Total of 120 farmers were selected out of which 60 UPL pesticides user, 60 non UPL pesticides use were selected by multi-stage sampling technique. Adoption and use intensity was determined through double hurdle model. The result of double hurdle model estimates indicated that income, membership of farmers association, distance to company office were the significant factors influencing pesticide use intensity. The age, farming experience, availability of small/ large quantity pack size and price of product are negatively significant factor for choice of pesticide by farmers. More than 75 per cent farmers were used highly hazardous pesticide but they are using protective measures like wearing mask, hand gloves, washing hands properly etc. The poor result of pesticide, lack of knowledge about use of pesticide, inability to identify pesticide adulterations that was major constraints faced by farmersThesisItem Open Access ADOPTION AND USE INTENSITY OF PESTICIDE IN JUNAGADH DISTRICT 3331(jau, 2021-09) MAKANI JYOTIBEN ASHVINBHAI; H. Y. Maheta; 2072119009