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  • ThesisItemOpen Access
    COMPARISON OF SELECTION INDICES USING DIFFERENT WEIGHTS IN OKRA (Abelmoschus esculentus (L.) Moench)
    (DEPARTMET OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Vaniya Jyotika N; Dr. A. D. Kalola
    The data on six different biometrical characters of fifty six genotypes/hybrids of okra were collected from Main Vegetable Research Station (MVRS), A.A.U., Anand during kharif season of the year 2018 for the present study entitled “Comparison of selection indices using different weights in okra (Abelmoschus esculentus (L.) Moench)”. The experiment was conducted in randomized block design with three replications. Six characters fruit yield per plant, plant height, number of internodes on main stem, fruit length, fruits per plant and fruit weight were used in the present study.
  • ThesisItemOpen Access
    COMPARISON OF RANDOMIZED COMPLETE BLOCK DESIGN AND VARIANCE BALANCED DESIGN FOR DIALLEL CROSSES
    (Department of Agricultural Statistics B. A. College of Agriculture Anand Agricultural University Anand, 2021) Popat Raj Chimanbhai; Dr. V. B. Darji
    The present investigation was carried out with an aim to work out combining ability analysis of diallel crosses for randomized complete block design (RCBD) and variance balanced design (VBD), compare efficiency of all RCBDs with VBD and study deviations of general combining ability and specific combining ability effects for different environmental designs. Six brinjal parents viz., GOB 1, JBGR 1, KS 331, AB 15-06, AB 17-17 and AB 17-28 were crossed in diallel method IV fashion to form fifteen crosses. The crossing was carried out at the Main Vegetable Research Station during Late Kharif, 2019 and evaluation of crosses was carried out at the Agronomy Farm during Late Kharif, 2020. The fifteen crosses were transplanted in two environmental designs i.e., RCBD and VBD. Four cases were considered for RCBD based on number of replications included in the analysis. These are RCBD I with three replications, RCBD II, III and IV are with replications 1st and 2nd, 2nd and 3rd and 1st and 3rd, respectively. Observations for three traits viz., number of fruits per plant, fruit yield per plant (kg) and average fruit weight (g) were recorded.
  • ThesisItemOpen Access
    COMPARISON OF SELECTION INDICES USING DIFFERENT WEIGHTS IN RICE (Oryza sativa L.)
    (DEPARTMET OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Chauhan Vivek Ashwinbhai; Dr. A. N. Khokhar
    The data on six different biometrical characters of thirty genotypes of rice were collected from Main Rice Research Station, Nawagam, A.A.U., Anand during kharif season of the year 2019 for the present study entitled “Comparison of selection indices using different weights in Rice (Oryza sativa L.)”. The experiment was conducted in randomized block design with two replications. Six characters i.e., grain yield, plant height, grains per panicle, test weight, harvest index and head rice recovery were used in the present study.
  • ThesisItemOpen Access
    VARIANCE BALANCED DESIGN FOR DIALLEL CROSSES IN BRINJAL
    (Department of Agricultural Statistics B. A. College of Agriculture Anand Agricultural University Anand, 2021) Charel Yogeshvarbhai Babubhai; Dr. V. B. Darji
    The present investigation was carried out with an aim to work out combining ability of diallel crosses viz., general combining ability and specific combining ability effects tested in variance balanced design (VBD), six parents viz., GOB 1, JBGR 1, KS 331, AB 15-06, AB 17-17 and AB 17-28 were crossed as per diallel method IV to form fifteen crosses. The crossing was carried out at the Main Vegetable Research Station during Late Kharif, 2019 and evaluation of crosses was carried out at the Agronomy Farm during Late Kharif, 2020. The fifteen brinjal crosses were transplanted in six blocks each of size five in variance balanced design (VBD). Observations for twelve traits viz., days to 50 per cent flowering, plant height (cm), number of primary branches per plant, pedicel length (cm), fruit volume (cc), fruit length (cm), fruit girth (cm), average fruit weight (g), number of fruits per plant, fruit yield per plant (kg/plant), total soluble sugar (%), and total phenol (mg/100g) were recorded.
  • ThesisItemOpen Access
    COMPARISON OF DEEP LEARNING ARTIFICIAL INTELLIGENCE AND STATISTICAL MODELS FOR PRICE FORECASTING OF BANANA IN GUJARAT
    (DEPARTMENT OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Viniya Goswami; Prity Kumari
    Price as well as other forecast viz., production, productivity, yield, weather data, etc. well in advance play a decisive role for governmental agencies in formulating policies regarding export-import, food grain procurement and distribution, price policies and for countering storage and other marketing issues and is also beneficial for farmers as it helps in pre-planning the activities and avert unwanted situations.
  • ThesisItemOpen Access
    APPLICATION OF MULTIVARIATE TECHNIQUES FOR SELECTION OF COTTON GENOTYPES USING BIOMETRICAL CHARACTERS
    (DEPARTMENT OF AGICULTURAL SATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Babariya Jay G.; Dr. D. J. Parmar
    The data on eleven different biometrical characters of thirty genotypes of cotton (Gossypium hirsutum and Gossypium barbadense) were collected from RRS, AAU, Anand during kharif season of the year 2020 for the present study entitled “Application of multivariate techniques for selection of cotton genotypes using biometrical characters”. The experiment was conducted in randomized complete block design with three replications. The data on biometrical characters days to flowering, days to 50% boll bursting, plant height, number of monopodia per plant, number of sympodia per plant, number of bolls per plant, boll weight, ginning percentage, seed index, lint index and seed cotton yield per plant were subjected to ANOVA, multiple regression, phenotypic correlation, path analysis, principal component analysis, factor analysis and selection index. The present study was carried out to study the multivariate techniques for selection of cotton genotypes and to assess the biometrical characters for selection of genotypes of cotton.
  • ThesisItemOpen Access
    EVALUATION OF STATISTICAL MODELS FOR FORECASTING AREA, PRODUCTION AND PRODUCTIVITY OF GREEN GRAM, CHICKPEA AND PIGEON PEA IN GUJARAT
    (DEPARTMENT OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Dodiya Karan D.; Dodiya Karan D.; Dr. A. N. Khokhar; Dr. A. N. Khokhar
    The present study was carried out to estimate the trends of area, production and productivity of pulse crops (green gram, chickpea and pigeon pea) of Gujarat. The time series data on area, production and productivity of pulse crops for the period 1995-96 to 2018-19 were collected from the Directorate of Agriculture, Gandhinagar, Gujarat state. The data from 1995-96 to 2014-15 have been used for model fitting and remaining for testing the forecast.
  • ThesisItemOpen Access
    HECTAREAGE PREDICTION MODELS FOR MAJOR KHARIF CROPS OF MIDDLE GUJARAT
    (DEPARTMET OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2021) Bhuva Rahul R.; Dr. A. D. Kalola
    The present investigation was undertaken with a view to identify the models for predicting the crop hectareage of cotton, paddy, maize, pigeon pea and bajra of the middle Gujarat region. The investigation was carried out on the basis of secondary data covering the period of nineteen years, (1998-99 to 2016-17). The District level data relating to hectareage, production, productivity and farm harvest prices of different crops were obtained from the published and compiled information by Directorate of Agriculture, Gujarat State, Gandhinagar.
  • ThesisItemOpen Access
    PRICE FORECASTING OF BRINJAL AND CHILLI (GREEN) – A STATISTICAL EVALUATION
    (DEPARTMENT OF AGRICULTURAL STATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND, 2019) VIKASH PAL; Dr. V. B. Darji
    A timely and reliable forecast of prices for different agricultural crops is highly needed and required for now a day. Forecasting of prices for agricultural commodities remain difficult because they are influenced by many factors. The uncertainty of future price, production and consumption level makes agricultural market strategy and investment planning difficult. Vegetable price changes fast and unstable making hard to predict the vegetable price. Perishability and seasonal nature of vegetables affect a lot to the vegetable prices. Therefore the present investigation on Price forecasting of Brinjal and Chilli (green) was undertaken.