About the project
Project Manager
Doszhanova Ainur
Candidate of Agricultural Sciences, Associate Professor
Scopus Author ID: 57197810369
ORCID: 0000-0002-9157-1022
Relevance
Kazakhstan's high import dependence on sugar significantly reduces its economic and food security, as the volume of annual sugar purchases further increases pressure on the accumulation of foreign exchange resources and stimulates not domestic, but foreign producers. The volume of imports of basic food products in recent years has amounted to about one billion US dollars. The main share of imports (about 30%) was sugar, including raw. Therefore, providing the country's population with sugar mainly from domestic raw materials is a state task that allows solving the problem of food security and providing food industry enterprises with the necessary components.
In recent years, we have conducted research on the effectiveness of drip irrigation of field crops on irrigated lands in the south and south-east of Kazakhstan, rice, sugar beet, corn and soybeans. The research results have shown the high efficiency of drip irrigation in the cultivation of the most water-intensive field crops, such as rice and sugar beet. However, surface drip irrigation does not find proper application by farmers in Kazakhstan, the main reason for which is the significant costs of annual laying and collecting drip tape, great difficulties for timely implementation of agrotechnical measures.
Subsurface drip irrigation additionally leads to the accurate use of resources by supplying water directly to the active root zone of plants compared to surface drip irrigation. Unlike surface drip irrigation, the subsurface drip irrigation system has a longer service life, leads to less weed infestation of crops and facilitates soil preparation and other tillage operations.
Objective
To develop a modern agrotechnology of sugar beet cultivation using subsurface drip irrigation, ensuring the achievement of potential crop yields, phytosanitary condition of crops while preserving soil fertility and environmental protection.
Expected and achieved results
The results of the project will be published:
Expected results:
To be published:
- 2 (two) articles in peer-reviewed scientific publications indexed in the Science Citation Index Expanded of the Web of Science database and (or) having a CiteScore percentile in the Scopus database of at least 50 (fifty);
- 1 (one) article in a peer-reviewed domestic publication recommended by the Committee for Quality Assurance in Science and Higher Education of the Ministry of Science and Higher Education of the Republic of Kazakhstan;
- 2 (two) articles have been published in the mass media;
- 1 (one) utility model patent has been obtained;
The recommendation "Technology of subsurface drip irrigation of sugar beet" has been developed.
A field seminar "Peculiarities of sugar beet cultivation technology with subsurface drip irrigation" was held.
2 masters have been prepared.
Information for potential users
The introduction of subsurface drip irrigation of sugar beet will provide:
- achieving the yield of sugar beet roots from 1 ha 100-120 tons .
- reduction of irrigation water consumption by 40-50 %;
- exceptions to manual labor for the care of sugar beet crops;
- improvement of the phytosanitary condition of sugar beet crops;
- reduction of herbicidal load on sugar beet crops by 80%;
- improvement of agrophysical and agrochemical properties of the soil;
- reduction of greenhouse gas emissions into the atmosphere by 20-30%;
- reducing the cost of sugar production by 50-60%.
Members of the research group
1. Ospanbayev Zhumagali
Doctor of Agricultural Sciences, Professor
Scopus Author ID: 57191541514
ORCID: 0000-0002-6570-8339
2. Sembayeva Aizada
Master of Agricultural Sciences
Scopus Author ID: 58169439900
Researcher ID: HGU-1678-2022
ORCID: 0000-0001-5808-0080
3. Nurgaliev Aidar
Master of Agricultural Sciences
ORCID: 0009-0009-3539-8761
4. Zhexembi Bakytzhan
Master of Agricultural Sciences
ORCID: 0009-0000-4987-9720
5. Kazkeev Dauren
PhD, Associate Professor
Scopus Author ID: 57193390146
Researcher ID: AAR-39732020
ORCID: 0000-0003-3597-7594
6. Bekbauov Mukhit
Candidate of Agricultural Sciences
Scopus Author ID: 58566048600
ORCID: 000-0001-9161-0792