Statistical analysis of productive, morphological and qualitative indicators in forage production from meadow legume crops

In the experimental field of the Research Institute of Mountain Stockbreeding and AgricultureTroyan during the period 2020-2022, the following meadow legume crops were studied: bird’s foot trefoil (Lotus corniculatus L.), hybrid clover (Trifolium hibridum L.), alfalfa (Medicago sativa L.), red clover (Trifolium pratense L.) and white clover (Trifolium repens L.). The purpose of the present research is to make a statistical analysis based on average data on yield, morphological features and quality, and determine dependencies between them. High correlations were found between plant height and crude fiber content (r = 0.88); crude fiber and the relative proportion of legumes in the grass stand (r = 0.77); acid detergent fibers and cellulose content (r = 0.92). These results make it possible to derive regression dependencies between them, which are represented by linear equations and coefficients of determination.

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Publication Details

Journal
Bulgarian Journal of Crop Science
Published
2024-08-29
DOI
https://doi.org/10.61308/znvy2074
Primary Topic
Botany and Plant Ecology Studies
Type
article
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article

Statistical analysis of productive, morphological and qualitative indicators in forage production from meadow legume crops

Boryana Churkova, Katerina Churkova
Bulgarian Journal of Crop Science
Botany and Plant Ecology Studies
article

Statistical analysis of productive, morphological and qualitative indicators in forage production from meadow legume crops

Boryana Churkova, Katerina Churkova
article en

Abstract

In the experimental field of the Research Institute of Mountain Stockbreeding and AgricultureTroyan during the period 2020-2022, the following meadow legume crops were studied: bird’s foot trefoil (Lotus corniculatus L.), hybrid clover (Trifolium hibridum L.), alfalfa (Medicago sativa L.), red clover (Trifolium pratense L.) and white clover (Trifolium repens L.). The purpose of the present research is to make a statistical analysis based on average data on yield, morphological features and quality, and determine dependencies between them. High correlations were found between plant height and crude fiber content (r = 0.88); crude fiber and the relative proportion of legumes in the grass stand (r = 0.77); acid detergent fibers and cellulose content (r = 0.92). These results make it possible to derive regression dependencies between them, which are represented by linear equations and coefficients of determination.

Bulgarian Journal of Crop ScienceVol. 61(4)
Agricultural Academy (BG)
Zero hunger
Openalex Percentile: Top 92%
Botany and Plant Ecology Studies
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