"Relationship of Farmers Profile Characteristics with Adoption Level of CO 51 Cultivation in Tamil Nadu"

The present study aimed to analyze the relationship of profile characteristics with group performance of tribal FIGs. The survey was purposively conducted in Erode district as it contains more number of tribal Farmer Interest Groups (FIGs). A total of five Tribal FIGs were randomly selected from 16 Tribal FIGs belonging to Dhimbam Dhaniya Farmer Producer Company Limited (DDFPCL) and the total sample size was 100. A well-structured interview schedule was prepared and employed to collect the data from the respondents. The findings showed that majority of the respondents were young aged with high school education, female marginal farmers receiving low level of annual income with medium level of farming experience. They had also received medium level of support from institution. The findings of the study also revealed that majority of the members of tribal FIGs had 76.00, 75.00, 73.00, 67.00 and 55.00 percentages of self-confidence, economic motivation, group leadership, group communication and information seeking behaviour respectively.To improve the performance of tribal FIGs, measures should be taken to increase the level of group communication, group leadership and group cohesiveness. This can be increased through organizing regular meetings for members, proper selection of leaders and making the members to understand the importance of group action

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Livelihood Security of Women Agricultural Labourers in Erode District of Tamilnadu

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b1209.1292s219 ◽

2019 ◽

Vol 9 (2S2) ◽

pp. 316-321

Keyword(s):

Women Workers ◽

Tamil Nadu ◽

Income Group ◽

Agricultural Workers ◽

Multiple Regression Equation ◽

The Sustainable Development ◽

Explanatory Variables ◽

Livelihood Security ◽

Relationship Of ◽

Agricultural Labourers

Aim: The main aims of the study is to identify the socio-economic characteristics of women agricultural labourer, to identify the determinants linked with economic, food, health, edification and empowerment as dissimilar domains of livelihood security of women agricultural labourers and to estimate the determinants of livelihood security of women agricultural labourers in Erode District of Tamil Nadu. Methods/Statistical analysis: The research has curbed in to a sample of 140 women agricultural workers households were selected from four villages of Bhavani taluk of Erode District in Tamil Nadu. A simple percentage analysis has been employed to identify the socio-economic characteristics and Multiple Regression equation method has fitted to the data to explore the effects of the explanatory variables on livelihood security of women agricultural labourers. Findings: Out of the 140 sample women agricultural labour households selected for the study, vast majority of the households registered as nuclear type of families; 52.86 percent with 2-4 members; 62.14 percent of the women agricultural workers were in the age cluster of 30 – 60 years; 33.57 percent of the respondents had education at secondary level; 33.57 percent labourers income falls in the income group of Rs.25000-Rs.50000/-,45.00 percent of the households selected for the study were with the asset group valued below Rs.2.5 lakhs. There was positive relationship of the explanatory variables with composite livelihood security index of agricultural women workers. Conclusions: Government intervention through legislation, planning and implementation must be stepped up to provide greater opportunity for the sustainable development of women livelihood security at all levels, so that the discriminatory practices of women and the gender related issues against women would be addressed.

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Contribution of Farmer’s Profile Characteristics to the Perception of Collective Farming in Tirunelveli District, India

Asian Journal of Agricultural Extension Economics & Sociology ◽

10.9734/ajaees/2020/v38i1230523 ◽

2020 ◽

pp. 185-189

Author(s):

V. Jothika ◽

R. Rajasekaran

Keyword(s):

Regression Analysis ◽

Tamil Nadu ◽

Structured Interview ◽

Interview Schedule ◽

Collective Farming ◽

The Government ◽

Profile Characteristics ◽

Major Factors ◽

Farming Awareness ◽

Modern Technologies

Collective Farming Scheme was implemented in the year 2017-2018 by the Government of Tamil Nadu, India to empower the farmers and their access to modern technologies. This study aimed to ascertain the contribution of the profile characteristics to the perception of collective farming. The study was conducted in Alangulam block of Tirunelveli district of Tamil Nadu. Data were collected through a well structured interview schedule with 120 farmers selected from four villages (Vadiyoor, Melamaruthappapuram, Ayyanarkulam and Sivalarulam). Regression analysis was carried out to determine the contribution of 12 selected farmer’s profile characteristics to the perception of collective farming. Social participation, training and innovativeness were the major factors that positively and significantly contributed to the perception of collective farming. For the better perception and practice of collective farming awareness from the state department or extension officials can be provided to the farmers along with the advantages of collective farming.

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Molecular identification and phylogenetic relationship of flying fishes of Tamil Nadu coast for fishery management purposes

Mitochondrial DNA Part A ◽

10.1080/24701394.2018.1558220 ◽

2019 ◽

Vol 30 (3) ◽

pp. 500-510

Author(s):

A. Rathipriya ◽

K. Karal Marx ◽

R. Jeyashakila

Keyword(s):

Phylogenetic Relationship ◽

Molecular Identification ◽

Tamil Nadu ◽

Fishery Management ◽

Flying Fishes ◽

Relationship Of

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A Study on Adoption Level of Black Gram VBN 8 among Farmers of Pudukkottai District, Tamil Nadu

Asian Journal of Agricultural Extension Economics & Sociology ◽

10.9734/ajaees/2021/v39i1130732 ◽

2021 ◽

pp. 123-127

Author(s):

M. Muthulakshmi ◽

R. Premavathi

Keyword(s):

Soil Fertility ◽

Tamil Nadu ◽

Descriptive Statistics ◽

Atmospheric Nitrogen ◽

Black Gram ◽

High Protein Content ◽

Indian Agriculture ◽

Medium Level ◽

High Level ◽

Adoption Level

Pulses are important in Indian agriculture because of their high protein content (17–25%) compared to grains (6–10%), as well as their capacity to fix atmospheric nitrogen and to enhance soil fertility. Black gram (Vigna mungo L.), also known as Urd bean, Urid, or mash, is a major pulse crop. The study on adoption of Black gram VBN 8 was conducted in Pudukkottai district of Tamil Nadu. Out of 13 blocks in the district, three blocks were selected based on the area under black gram VBN 8 cultivation. The data collected were analysed and presented using descriptive statistics. The results of the study revealed that three fifth (60.80%) of the respondents belonged to medium level of adoption category, followed by 20.00 per cent and 19.20 per cent of the respondents in low and high level of adoption categories.

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