Search

Search Results

• Changes in costs of precision nutrition depending on crop rotation

  59-63

  Enikő Lencsés

  Katalin Takácsné György

  Views:

  145

  By applying precision nutrition the yield heterogeneity owing to the different features of soil spots can be taken into consideration. The planned and sprayed fertilizer adjusted to the expected yield rendered to soil spots can reduce the negative effects of artificial chemicals on soil and environment. The aim of this paper is to examine how the quantity and the cost of fertilizer (material and operational) will change on spot level on a certain plot during a five-year period, considering crop rotation, too. The following crops are in the rotation: winter wheat, corn and sunflower. Precision nutrition can be used in all the cultures mentioned above. Our earlier (static) model calculations have revealed that the threshold price of precision production was lower by 31% than in conventional technology. So it is necessary to explore for a longer period how the profitability of precision nutrition reacts to the changes in input and yield prices in different crops. The risk receptivity of precision nutrition can be characterized with the help of price sensitive analyses. Effects on profitability of other technological elements are not analysed in this paper.

• Optimal crop plan of cooperative farmers in Osun state, Nigeria: a linear programming approach

  N.A Sofoluwe

  A.A Tijani

  Views:

  247

  Optimal level of production requires better use of existing resources at the lowest possible cost. Despite the inherent advantage of cooperatives to the agricultural sector, the question of how farmers under cooperative umbrella use farm resource for optimal outcome remains unanswered. This study investigates optimal crop mix for cooperative farmers in rural communities in Southwest Nigeria. Primary data were collected for the study through structured questionnaire. The data were fitted to Linear Programming Model. Three different cropping patterns are identified among the cooperative farmers. Based on the results from linear programming model, only maize, cassava and yam are admitted in the final plan and this combination is to be produced at 2.23 hectares. The gross margin value associated with the plan is ₦156, 235.781 (1$ = N365). Input resources such as land, labour, fertilizer, and chemicals are not fully utilized. The slack values for these inputs are 0.31, 651.20, 1929.6 and 140.76 respectively. The sensitivity analysis shows that seed/seedling is the only binding resource in the final plan with a shadow price which suggests that proper allocation of seed and seedlings would improve returns to cooperative farmers. There is need for appropriate farm management strategies to ensure optimal return for farmers. More education and training is suggested to boost cooperative farmers understanding of optimum strategy that is needed to improve production and earnings.

  JEL code: Q10, Q13