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Clinical importance <p>Scientific poultry farming plays a critical role in improving rural livelihoods, income diversification, and nutritional security in remote districts of Northeast India. However, limited knowledge, socio-economic constraints and partial technology adoption restrict productivity gains. Understanding the pathways linking socio-economic characteristics, perception and adoption behaviour is essential for designing effective capacity-building interventions.</p> Objective <p>To assess knowledge acquisition through training, examine socio-economic determinants of farmer’s perception and analyze factors influencing adoption categories (non-adopter, partial adopter and full adopter) of scientific poultry farming practices.</p> Design <p>Application of non-parametric and multivariate statistical techniques to primary household level survey data.</p> Setting <p>Population based field survey of 120 poultry farmers in Anjaw district, Arunachal Pradesh.</p> Main outcome and measure <p>Knowledge change was assessed using Wilcoxon signed rank test, perception determinants were analyzed using multiple linear regression and adoption categories were examined using multinomial logistic regression. Training significantly improved knowledge (Z = −&#xa0;4.86, <i>p</i> &lt; 0.01; r = 0.44). Education (β = 0.061, <i>p</i> &lt; 0.05), training received (β = 2.914, <i>p</i> &lt; 0.05), and use of improved breeds (β = 1.000, <i>p</i> &lt; 0.05) positively influenced perception while flock size showed a negative effect (β = −&#xa0;0.066, <i>p</i> &lt; 0.01). The perception model explained 51% of variation (R2 = 0.51). Knowledge was positively associated with adoption (r = 0.325), whereas constraints were negatively associated (r = −&#xa0;0.168). Multinomial logistic regression indicated that technical competencies significantly increased the likelihood of full adoption (χ2 = 70.685, <i>p</i> &lt; 0.001).</p> Conclusions and recommendation <p>Strengthening targeted training, promoting improved breeds and addressing production constraints are critical for enhancing scientific poultry adoption and improving rural livelihood outcomes in geographically remote district of Arunachal Pradesh.</p>

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Knowledge assessment, adoption behaviour and socio-economic perceptions of poultry farmers in Anjaw District, Arunachal Pradesh, India

  • 期刊论文

  • 发表日期：

    2026年3月31日

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  • Soibam Peter,
  • Biswajit Debnath,
  • Debasis Sasmal,
  • Soibam Khogen,
  • Naveen Khoisnam,
  • Pooja Singnale,
  • Ugarsain Sangwan,
  • Satveer Yadav

摘要

Clinical importance

Scientific poultry farming plays a critical role in improving rural livelihoods, income diversification, and nutritional security in remote districts of Northeast India. However, limited knowledge, socio-economic constraints and partial technology adoption restrict productivity gains. Understanding the pathways linking socio-economic characteristics, perception and adoption behaviour is essential for designing effective capacity-building interventions.

Objective

To assess knowledge acquisition through training, examine socio-economic determinants of farmer’s perception and analyze factors influencing adoption categories (non-adopter, partial adopter and full adopter) of scientific poultry farming practices.

Design

Application of non-parametric and multivariate statistical techniques to primary household level survey data.

Setting

Population based field survey of 120 poultry farmers in Anjaw district, Arunachal Pradesh.

Main outcome and measure

Knowledge change was assessed using Wilcoxon signed rank test, perception determinants were analyzed using multiple linear regression and adoption categories were examined using multinomial logistic regression. Training significantly improved knowledge (Z = − 4.86, p < 0.01; r = 0.44). Education (β = 0.061, p < 0.05), training received (β = 2.914, p < 0.05), and use of improved breeds (β = 1.000, p < 0.05) positively influenced perception while flock size showed a negative effect (β = − 0.066, p < 0.01). The perception model explained 51% of variation (R2 = 0.51). Knowledge was positively associated with adoption (r = 0.325), whereas constraints were negatively associated (r = − 0.168). Multinomial logistic regression indicated that technical competencies significantly increased the likelihood of full adoption (χ2 = 70.685, p < 0.001).

Conclusions and recommendation

Strengthening targeted training, promoting improved breeds and addressing production constraints are critical for enhancing scientific poultry adoption and improving rural livelihood outcomes in geographically remote district of Arunachal Pradesh.