Energy use and sensitivity analysis of energy inputs for alfalfa production in Iran

The aims of this study were to investigate influences of energy inputs and energy forms on output levels and evaluation of inputs sensitivity for alfalfa production in Hamedan province, Iran. The sensitivity of energy inputs was estimated using the marginal physical productivity (MPP) method and partial regression coefficients on alfalfa yield. Data were collected from 80 alfalfa farms in August and September 2009. The sample volume was determined by random sampling method. The total energy of 810.57 GJ ha− 1 was calculated for establishment and 7 years production life. The electricity used in pumping system was the highest energy inputs for alfalfa production (75.79%). Econometric model evaluation showed that the machinery energy was the most significant input affecting the output level. Sensitivity analysis results indicate that with an additional use of 1 MJ of each machinery and seeds energy, would lead to an additional increase in yield by 5.094 and 4.986 kg, respectively. The MPP of human labor, farmyard manure and biocides was negative. It can be because of applying the inputs more than required or improperly applying.

► We investigated energy use and inputs–output relationship of alfalfa production.
► Total energy input was 810.57 GJha–1 and electricity has the highest energy inputs.
► The machinery energy was the most significant input affecting the output level.
► The MPP of human labor, farmyard manure and biocides was negative.