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Szemléletváltás a gyepelemzésben, háromdimenziós termésbecslési és minősítési módszer - Előtanulmány

Szilárd Szentes · Zsombor Wagenhoffer · Julianna Tasi · Károly Penksza · Márta Bajnok

Gyepgazdálkodási Közlemények · 1 Jan 2024 · 10.55725/gygk/2023/21/2/13226

Abstract

From the point of view of the lawns' current existence, use and their existence for the future, but the tasks, goals and challenges of grassland management have changed, and in line with this, we have carried out surveys and developed and modified a method for fast and efficient application. In practice, it is very important to know the quantitative and qualitative characteristics of the forage found in the pasture, as well as the exact economic value of the pasture. The purpose of this study is to present a cheap, fast, reliable and easy-to-apply estimation method. We took the previous methods into account and corrected and further developed them with the help of recent lawn management research results. Based on our tests, the corrected Balázs method can be used well to estimate the yield of grasslands and to determine the fodder value of the grassland. This method is cheap and requires no technical background. It also has the advantage, based on experience, that it takes into account the preference of species by animals. The data from the cenological survey and the height measurement of the plant stock can be used to estimate the yield, fodder value and economic value. Being a non-destructive method involving minimal trampling, it is also particularly suitable for monitoring the grassland habitat of protected plants and animals. The method is also presented on a sample example, which proves its applicability.

Code and data availability

The supplied blocks describe a modified Balázs (1960) 3D quadrat grassland yield-estimation method with field survey data (Mende, Bösztör, 2007–2008) presented only as in-article tables and figures. No public phenotype dataset, image/sensor inputs, author code, models, or supplement with an authors' public URL is named

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