Literature DB >> 28573561

Farm-level economics of innovative tillage technologies: the case of no-till in the Altai Krai in Russian Siberia.

Miroslava Bavorova1, Nizami Imamverdiyev2, Elena Ponkina3.   

Abstract

In the agricultural Altai Krai in Russian Siberia, soil degradation problems are prevalent. Agronomists recommend "reduced tillage systems," especially no-till, as a sustainable way to cultivate land that is threatened by soil degradation. In the Altai Krai, less is known about the technologies in practice. In this paper, we provide information on plant cultivation technologies used in the Altai Krai and on selected factors preventing farm managers in this region from adopting no-till technology based on our own quantitative survey conducted across 107 farms in 2015 and 2016. The results of the quantitative survey show that farm managers have high uncertainty regarding the use of no-till technology including its economics. To close this gap, we provide systematic analysis of factors influencing the economy of the plant production systems by using a farm optimization model (linear programming) for a real farm, together with expert estimations. The farm-specific results of the optimization model show that under optimal management and climatic conditions, the expert Modern Canadian no-till technology outperforms the farm min-till technology, but this is not the case for suboptimal conditions with lower yields.

Keywords:  Erosion; Linear programming; No-till; Profitability; Reduced soil cultivation technology; Russia

Mesh:

Year:  2017        PMID: 28573561     DOI: 10.1007/s11356-017-9268-y

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Who cares what parents think or do? Observational learning and experience-based learning through communication in rice farmers' willingness to adopt sustainable agricultural technologies in Hubei Province, China.

Authors:  Yangmei Zeng; Junbiao Zhang; Ke He; Linlin Cheng
Journal:  Environ Sci Pollut Res Int       Date:  2019-03-08       Impact factor: 4.223

  1 in total

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