What question did this study set out to answer?

This research aims to evaluate different sugar beet genotypes based on their yield performance and quality traits.

June 17, 2026Open Access

Evaluation Differences Between Haploid and Diploid Maize Samples and Cut-Off Points Determination for Separation Haploids Using Decision Tree Technique

Key Points

This research aims to evaluate different sugar beet genotypes based on their yield performance and quality traits.
Twenty sugar beet genotypes were assessed for various traits including sugar content, potassium, and root yield.
Factor analysis was conducted to identify significant trait associations and variations among genotypes.
Cluster analysis categorized genotypes into groups based on their performance.
The study showed that the first seven eigenvalues explained 89% of the variation in traits.
Cluster II (G3, G8, G18, and G19) had the highest root yield, indicating superior performance among genotypes.
Highlights of traits showing positive associations included plant height with canopy cover, and extraction coefficient with sugar content.

Abstract

This research aimed to evaluate sugar beet (Beta vulgaris L.) genotypes in the cold semi-arid environment of northwestern Iran. Twenty sugar beet genotypes underwent assessment for yield performance and various quality traits. Parameters such as sugar content (SC), potassium amount (K), alpha-amino nitrogen (AN), alkalinity coefficient (ALC), extraction coefficient of sugar (ECS), sodium content (NA), molasses sugar (MS), white sugar content (WSC), growth uniformity (GU), canopy cover (CC), plant height (cm) (PH), petiole length (PL), petiole width (PW), lamina length (LL), stem diameter (SD), tuber size (TS), plant number at harvesting (PNH), and root yield (RY) were measured. The coefficient of variation ranged from 1.56% in ECS to 43.59% in RY. Factor analysis revealed that the first seven eigenvalues extracted explained 89% of the variation. Plotting the first three factors showed positive associations, such as CC with PH; ECS and SC with WSC; and PW, PL, LL, GU, and TS with AN. The three-dimensional biplot indicated that G4 exhibited high PH, CC, PW, PL, LL, and AN, while G3 showed high K, RY, MS, PNH, SD, and NA traits. Additionally, G11 demonstrated high ESC, SC, and WSC. The traits clustered into five groups, with the genotypes categorized into two clusters. Cluster- II (G3, G8, G18, and G19) emerged as the best group due to high root yield. To achieve higher yield, factors like growth uniformity, stem diameter, and tuber size must be considered, along with plant number at harvesting in sugar beet.

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Cite This Study

Tunç et al. (Mon,) studied this question.

synapsesocial.com/papers/6a323b8cd50b63ecad2060d3 https://doi.org/https://doi.org/10.17930/agl2025120

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