SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
   
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations

More>>

Saleem, M.A., Jan, F.A., Qureshi, M.I. and Khattak, L. (2011) Linkage Financial Market and Farm & Farmers Features for Adoption of New Farm Technology, a Case Study of D. I. Khan District of Khyber Pakhtunkhwa, Pakistan. Gomal University Journal of Research, 27, 69-76.

has been cited by the following article:

  • TITLE: Model Farm Services Center Approach: An Implication to Boost Farmer’s Yield

    AUTHORS: Rehmat Ullah, Muhammad Zafarullah Khan, Kalim Ullah, Tahir Munir Butt

    KEYWORDS: Model Farm Services Center, Sugarcane, Wheat, Pakistan

    JOURNAL NAME: Agricultural Sciences, Vol.6 No.9, September 18, 2015

    ABSTRACT: The instant study was conducted to estimate the Model Farm Services Center’s (MFSC) contribution in yield improvement of major crops/vegetables in district Dera Ismail Khan, Khyber Pakhtunkhwa, Pakistan, during the year 2014-15. Based on Sekaran sampling technique 306 respondents were selected and were personally interviewed through well prepared and pre-tested interview schedule. To find out the actual performance of yield improvement by Model Farm Services Center along with other repressors, step by step analysis was performed. The results of Wilcoxon Sign Rank Test showed significant improvement in yield of sugarcane, wheat, maize, rice and tomato by Model Farm Services Center. Pearson’s correlation coefficient showed highly significant positive relation of sugarcane and wheat yield difference before and after Model Farm Services Center registration with MFSC. Ordinary Least Square Multiple-Regression Model indicates that MFSC registration duration and landholding significantly define the variation in dependent variables at 1% and 5% level of significance respectively for sugarcane yield. Whereas solely Model Farm Services Center registration duration profoundly highly significantly (P ≤ 0.01) explains the variation in dependent variables in wheat yield.