Evaluation of productivity components and their interrelationships in early-maturing inbred maize families

This study aimed to investigate the formation of productivity and the relationships among traits in early-maturing inbred maize families under the conditions of the Northern Steppe of Ukraine. The research methods included the field evaluation of 302 S4 -S6 families derived from a mixed germplasm pool, as well as multivariate statistical analysis. The highest positive correlation was observed between plant productivity and 1,000-kernel weight (r=0.726) and ear length (r=0.604). Multiple regression confirmed ear length and diameter as the main independent traits for predicting yield. The analysis of main traits explained 69.1% of the phenotypic variance, whilst cluster analysis differentiated the genotypes into eight distinct groups to optimise the selection of parental lines for new hybrids.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-23
DOI
https://doi.org/10.5281/zenodo.21473177
Primary Topic
Crop Yield and Soil Fertility
Type
article
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article

Evaluation of productivity components and their interrelationships in early-maturing inbred maize families

V. Yu. Cherchel, Kulyk Oleksandr
Zenodo (CERN European Organization for Nuclear Research)
Crop Yield and Soil Fertility
article

Evaluation of productivity components and their interrelationships in early-maturing inbred maize families

V. Yu. Cherchel, Kulyk Oleksandr
article en

Abstract

This study aimed to investigate the formation of productivity and the relationships among traits in early-maturing inbred maize families under the conditions of the Northern Steppe of Ukraine. The research methods included the field evaluation of 302 S4 -S6 families derived from a mixed germplasm pool, as well as multivariate statistical analysis. The highest positive correlation was observed between plant productivity and 1,000-kernel weight (r=0.726) and ear length (r=0.604). Multiple regression confirmed ear length and diameter as the main independent traits for predicting yield. The analysis of main traits explained 69.1% of the phenotypic variance, whilst cluster analysis differentiated the genotypes into eight distinct groups to optimise the selection of parental lines for new hybrids.

Zenodo (CERN European Organization for Nuclear Research)
National Academy of Agrarian Sciences of Ukraine (UA)
Decent work and economic growth
Openalex Percentile: Top 8%
Crop Yield and Soil Fertility
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