Experiment code 19.9.3.46
Experiment Title Knowledge and Adoption of Oyster Mushroom production technologies by farmers in Tapi district of South Gujarat
Research Type Survey Work
Experiment Background One of the most profitable agro-based enterprise that you can initiate with little capital and little space is mushroom growing. In India, mushroom farming is more popular as a secondary source of income for many people.Mushroom is considered to be a nutritious food, rich in protein, low in fat and carbohydrates. However, mushroom growing can help in a long way in the efficient utilization of agricultural and industrial waste. Today, mushroom farming is India's most fruitful and rewarding industry. It is progressively gaining popularity in India because it quickly turns the laborious labor of farmers into profit. In India, farmers employ mushroom growing as a secondary source of income. There Mushroom cultivation is mainly carried out in the states of Gujarat, Bihar, Uttar Pradesh, Kerala, and Tripura. Solan was the capital of erstwhile princely state, badhat. It is known as the “Mushroom city of India” because of the vast mushroom farming in the area as well as the Directorate of Mushroom Research (DMR) situated at Chambaghat. The Directorate of Mushroom Research (DMR) developed the oyster mushroom production technologies. In Gujarat state, South Gujarat and middle Gujarat are the main regions for growing mushroom. Paddy crop is main crop of Tapi district and paddy straw is use as raw material for oyster mushroom growing. Krishi Vigyan Kendra-Tapi provided training to many farmers on Oyster mushroom cultivation. Therefore, the present study was undertaken with title “Adoption of Mushroom production technologies by Farmers in Tapi district of South Gujarat”
Experiment Group Social Science
Unit Type (03)EXTENSION EDUCATION UNIT
Unit (34)KRUSHI VIGYAN KENDRA (VYARA)
Department (250)Krushi Vigyan Kendra Vyara
BudgetHead (340/02704/01)340/38/REG/03055
Objective
  1. To study the personal profile of respondents
  2. To study the knowledge level about Oyster Mushroom production technologies
  3. To assess the extent of adoption level of Oyster Mushroom production technologies by respondents
  4. To ascertain the relationship between personal profile and adoption level of Oyster Mushroom production technologies
  5. To find-out constraints faced by the farmers regarding Oyster Mushroom production technologies and avail suggestions to overcome the suggestions
  6. To develop strategies for increase adoption of Oyster Mushroom production technologies
PI Name (NAU-EMP-2019-000460)ARPIT JAGDISHBHAI DHODIA
PI Email arpit0694@nau.in
PI Mobile 9727887980
Year of Approval 2023
Commencement Year 2023
Completion Year 2024
Research Methodology
  • Location of Study:

Among the seven talukas of Tapi district, five talukas namely Vyara, Songadh, Uchchhal, Nizar, Dolvanwill purposively select for the study because beneficiaries of training provided by KVK on Mushroom cultivation were belongs to same talukas. For the investigation of the study, 60 respondents were purposively selected from each taluka. So total 300 respondents will select for the study. Structured interview schedule will develop and collect data by personal interview method. The collected data will be analyzed by using appropriate method of statistics.

  • Dependent variable:  Knowledge level about Oyster Mushroom production

 technologies,

 Adoption level about Oyster Mushroom production technologies

  • Independent variable:Age, Education, Occupation, Land holding, Annual income,

Social participation, Size of family, Farming experience,Economic motivation,Scientific orientation, Risk orientation

  • Research Design: Ex-post facto research design
  • Sampling Design: Purposive sampling method
  • Data Collection Tools & Techniques:

The data will be collected through personal contact with the help of well-structured interview schedule. The gathered data will be processed, tabulated, classified and use ranking method in the light of objectives of the study.

Statistical Tools for analyzing data: Mean, Standard deviation, Average, Frequency, and Ranking, correlation coefficient.
(NAU-EMP-2019-000460)
ARPIT JAGDISHBHAI DHODIA 		arpit0694@nau.in 9727887980 12-02-2024
Active
(NAU-EMP-1995-000445)
CHETAN DAYALAL PANDYA 		akshaydhara@nau.in 8780434557 12/02/2023
Active
(NAU-EMP-2012-000357)
HITESHKUMAR RAMESHBHAI JADAV 		hrjadav@nau.in 8140000465 12/02/2023
Active
(NAU-EMP-1996-000151)
MAHESHBHAI DAHYABHAI LAD 		mdl@nau.in 9979629618 12/02/2023
Active
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