Prediction of agroforestry adoption among farming communities of Kashmir valley, India: A logistic regression approach

Journal Title: Journal of Applied and Natural Science - Year 2016, Vol 8, Issue 4

Abstract

The study investigated the socioeconomic and psychological variables that influence the agroforestry adoption in farming communities of Kashmir. The data were collected from 142 households of 5 villages selected in Baramulla and Kupwara districts utilizing multi-stage random sampling. The results revealed that regarding agroforestry adoption majority (52.11%) of the respondents belonged to medium category followed by low (27.47%) and high (20.42%) categories. The socioeconomic variables specified that the rural people are in underprivileged condition while they are in prosperous condition regarding psychological variables. The correlation analysis (r) indicated that among explanatory variables, education, social participation, family composition, size of land holding, main occupation, housing status, farm power, farm implements, livestock possession, wealth status, gross annual income, knowledge about agrforestry, attitude towards agroforestry and level of aspiration had shown positively significant correlation with the agroforestry adoption, while, the age had a non-significant correlation. All the explanatory variables jointly accounted 90.80 % (R2= 0.908) variation on the agroforestry adoption and among these, nine variables viz., education, size of land holding, main occupation, farm power, livestock possession, wealth status, knowledge about agrforestry, attitude towards agroforestry and level of aspiration were statistically significant (p < 0.05) in influencing the agroforestry adoption. The study recommends that recognition and exploitation of explanatory variables that predict agroforestry adoption, needs due consideration among policy makers, researchers and extension providers as prominent strategy for agroforestry promotion and development.

Authors and Affiliations

M. A. Islam, P. A. Sofi, G. M. Bhat, A. A. Wani, Amerjeet Singh, A. R. Malik

Keywords

Related Articles

Effect of low cost mole drainage technology on yield of chickpea (Cicer arietinum L.) under waterlogged vertisols of Maharashtra, India

The field experiment was conducted on performance of mole drainage under irrigated and waterlogged vertisols of Maharashtra at Agricultural Research Station, K. Digraj, Dist. Sangli (M.S.), India during 2009-10 to 2011 -...

Evaluation of antifungal activity of seaweed extract (Turbinaria conoides) against Fusarium oxysporum

The purpose of the study was to determine the anti fungal activity of seaweed (Turbinaria conoides) extract against root rot pathogen Fusarium oxysporum. Seaweed extract was prepared from the species T. conoides collecte...

Prediction of agroforestry adoption among farming communities of Kashmir valley, India: A logistic regression approach

The study investigated the socioeconomic and psychological variables that influence the agroforestry adoption in farming communities of Kashmir. The data were collected from 142 households of 5 villages selected in Baram...

Prenatal development of the lingual epithelium in goat (Capra hircus)

The present study was conducted on the tongue of 18 goat foetii divided into three prenatal age groups viz- Group I ( below 50 days of gestation), Group II ( between 50-100 days of gestation) and Group III ( above 100 da...

A preliminary study on amphizoic amoebae with special reference to their preference for bacterial food

The present study was planned to screen the growth pattern of six different species of pathogenic and non pathogenic amphizoic amoebae viz. Naegleria fowleri, N. gruberi, Acanthamoeba culbertsoni, A. rhysodes, A. polypha...

Download PDF file
  • EP ID EP285719
  • DOI -
  • Views 92
  • Downloads 0

How To Cite

M. A. Islam, P. A. Sofi, G. M. Bhat, A. A. Wani, Amerjeet Singh, A. R. Malik (2016). Prediction of agroforestry adoption among farming communities of Kashmir valley, India: A logistic regression approach. Journal of Applied and Natural Science, 8(4), 2133-2140. https://europub.co.uk/articles/-A-285719