APPLICATION OF AGRO-MIX, AGRARKA AND EPIN BIOLOGICAL PRODUCTS ON ANNUAL SEEDLINGS OF PINUS SYLVESTRIS L.

2023

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.52269/22266070_2023_1_164
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

This article presents studies of the effect of biological products "Agro-MIKS", "Agrarka" and "Epin" on the growth of annual seedlings of Scots pine (Pinus sylvestris L.) in 2022 with the financial support of KATU named after. S. Seifullin of young scientists about research work carried out within the framework of internal grant funding No. 2VGF/21. The research work was carried out in a forest nursery located in the city of Schuchinsk, Burabay district, Akmola region. In the forest nursery, a total area of 0,4 ha was surveyed, of which 0.2 ha was pre-treated and sown with seeds of Pinus sylvestris L. Some details of this research work were published in other publications, but in this paper only one object of study, seedlings of Pinus sylvestris, was fully analyzed. L. The composition of chlorophyll was studied to assess seasonal growth and physiological development, as well as the biochemical activity of seedlings. The biological products used in the experimental samples were compared with each other and with control options. The biomass, growth and viability of seedlings were analyzed. Soil cultivation, sowing and care were carried out according to generally accepted methods of experimental work. The samples were built according to the linear-diagonal method, and the data were collected throughout the season. Statistical data were processed using the SPSS, STATISTICA 13, and SNEDECOR programs.