Year 2017, Volume 2, Issue 2
| Year : | 2017 |
| Volume : | 2 |
| Issue : | 2 |
| Authors : | Binayak P. RAJBHANDARI |
| Title : | REGRESSION ANALYSIS OF ROTATIONAL INTENSITY, CROP DIVERSITY INDEX, LAND UTILIZATION INDEX AND YIELD EFFICIENCY IN BIO-INTENSIVE AND CONVENTIONAL FARMING SYSTEMS IN NEPAL |
| Abstract : | This study was conducted in Udayapur district, Nepal. A questionnaire-based survey with 100 household heads along with field visit and personal interaction with the concerned farmers were conducted to gather required information. Data were analyzed to compute rotational intensity (RI), crop diversity index (CDI), land utilization index (LUI), and yield efficiency (YE). Regression analyses were done to reveal relationships among these traits. Bio-intensive farming system (BIFS) farmers were found to practice scientific crop rotation substantially more than conventional farming system (CFS) farmers both in rice-based and maize-based cropping systems. In this study, higher RI, CDI, LUI and YE were found in sustainable bio-intensive farming system (BIFS) as compared to conventional farming system (CFS). The study has revealed strong positive relationship of RI with CDI and LUI in BIFS, CFS and in general. Cropping system both in BIFS and CFS with scientific crop rotation that ensures higher CDI and LUI is recommended for increasing yield efficiency. Direct positive relationship among RI, CDI and LUI has been revealed by this study as a rule; and has suggested to be used in validating yield efficiency of optional farming system as compared to the mainstream conventional farming system. |
| For citation : | Rajbhandari, B., P. (2017). Regression analysis of rotational intensity, crop diversity index, land utilization index and yield efficiency in bio-intensive and conventional farming systems in Nepal. AGROFOR International Journal, Volume 2. Issue No. 2. pp. 124-131. DOI: 10.7251/AGRENG1702124R |
| Keywords : | rotational intensity, crop diversity index, land utilization index, yield efficiency, bio-intensive farming system |
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ISSN 2490-3434 (Printed)
ISSN 2490-3442 (Online)
ISSN 2490-3442 (Online)
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