Comprehensive Evaluation of Different Sugar Beet Varieties by Using Principal Component and Cluster Analyses

Hu, Xiaoping; Jian-Zhou, Chao; Hong-Yang, Ze

doi:10.1088/1742-6596/1176/4/042021

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…Cluster analysis utilizes all variance to group populations, providing more accurate results compared to principal component analysis. Hu et al (2019) conducted a study where they used principal component analysis and cluster analysis to evaluate the variability in quality characteristics of sugar beet roots and to determine the contributions of the variables. In their research, the quality indicators of the fourteen genetic varieties were classi ed into four principal components based on principal component analysis results, accounting for a cumulative variance contribution rate of 91.8%.…”

Section: Factor Analysismentioning

confidence: 99%

Genetic Diversity and Relationship of Some Sugar Beet Population by Morpho-physiological Traits

Golabadi,

Asadi,

Dabaghi

2024

Preprint

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The present study focuses on presenting the distribution of genetic diversity in some of the breeding populations of Beta vulgaris L. using yield, yield component, and root morpho-physiological traits. For this purpose, 80 genotypes from 8 different sugar beet populations were used under a randomized complete block design with five replicates at the Azad University research field during the 2021–2022 cropping season. Overall results of ANOVA led to the identification of significant statistical differences among the populations that indicate the genetic difference of the studied sugar beet population. According to the mean comparison of analyzed data, P191 displayed better traits in terms of sugar content, nitrogen content, pure sugar content, extraction coefficient, and root dry matter. Similarly, population M224 exhibited better root number, root yield, leaf weight, and sugar yield than other populations. The dendrogram using UPGMA revealed that the population formed three distinct clusters, with the greatest genetic distance between M249 and the 191 populations. This distance is expected to create maximum heterosis through crossbreeding between these two populations. The results indicate that the number of roots significantly affects RY, LY, Na, and WSY, but does not have a significant correlation with other traits. RY is correlated with LY, Na, and WSY, while LY is inversely correlated with WSC, ECS, and DM, and directly correlated with Na. Principal component analysis based on varimax rotation revealed that the three factors explained 87.6% of the total variance with this arrangement: the first factor named WSC explained 54.5%, the second factor, called RY, accounted for 22.8% and the third factor contributed to 10.2% of the total variance. The Biplot from the first two components also groups populations similar to cluster analysis grouping. It is noticeable that the findings of this research could provide valuable insights into the breeding and improvement of sugar beet populations, which could ultimately benefit the sugar industry.

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Section: Factor Analysismentioning

confidence: 99%

Genetic Diversity and Relationship of Some Sugar Beet Population by Morpho-physiological Traits

Golabadi,

Asadi,

Dabaghi

2024

Preprint

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“…To attain the GT biplot model's goodness of fit, the first two PCs must reflect more than 60% of the total variation. A few indicators of distinct sugar beet varieties have been employed to assess sugar beet characteristics and identify different varieties (Hu et al, 2016). Furthermore, Ghareeb et al ( 2014) used the PCA technique to perform extensive evaluations and analyses to ascertain the root and sugar yields of five distinct sugar beet varieties.…”

Section: Genotype By Trait Biplot Graphmentioning

confidence: 99%

Biplot analysis for yield and quality traits and comprehensive evaluation of sugar beet varieties treated by abscisic acid under water deficit stress

Abu-Ellail,

El-Gamal,

El-Sherbiny

2024

Egyptian Sugar Journal

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IntroductionTwo field experiments were carried out during two growing seasons at the private farm located in the Kafr El Sheikh governorate, North Nile Delta, Egypt (31° 07' N latitude and 30° 05 E longitude). The purpose of the study was to examine the effects on the yield and quality of the five sugar beet varieties, namely BTS 970, Husam, Karam, Sandor, and Shantala-KWS, of two irrigation intervals, namely control (2-week interval) and water stress (4-week interval), as well as three rates of ABA (control = water, 1000, and 3000 ppm).The results showed that the five sugar beet varieties differed significantly in how they responded to the three ABA concentrations under water deficit stress in terms of root length, root diameter, number of leaves, root yield, sucrose%, total soluble solids percentage (TSS%), sugar lost to molasses percentage (SLM%), extractable sugar percentage (EXT%), and sugar yield. In both seasons, the Husam and Karam varieties recorded the lowest mean values of these traits, while the Shantala-KWS variety had the highest mean values.The sugar beet roots with ABA concentrations up to 3000 ppm also showed an increase in root yield, number of leaves, root diameter, root length, sucrose%, and TSS%. These traits also showed the highest mean values. The control treatments (water spray) showed the lowest mean values. On the other hand, the two seasons differed significantly in water deficit stress (4 weeks). The study recommends using the GT biplot analysis method to evaluate the adaptability of varieties across various environments.

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“…Nitrogen fertilizers, whether from fertilizer or soil reserves, can lead to significant changes in yield and quality. Increasing N input increases the soil fertility in soils of varying fertility statuses [64].…”

Section: Low Soil Fertilitymentioning

confidence: 99%

Sugar Beet Cultivation in the Tropics and Subtropics: Challenges and Opportunities

et al. 2023

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Sugar beet, an important sugar crop, is particularly cultivated in humid regions to produce beet sugar, fulfilling about 25% of the world’s sugar requirement, supplementing cane sugar. However, sugar beet is not well adopted in the farming system of the tropics and subtropics, which is largely due to the historically well-established production technology of sugarcane and the lower awareness among local growers of sugar beet cultivation. Thus, the poor understanding of pest and disease management and the lack of processing units for sugar beet partially hinder farmers in the large-scale adaptation of sugar beet in the tropics and subtropics. Recent climatic developments have drawn attention to sugar beet cultivation in those regions, considering the low water demand and about half the growing duration (5–6 months) in contrast to sugarcane, sparing agricultural land for an extra crop. Nevertheless, a considerable knowledge gap exists for sugar beet when closely compared to sugarcane in tropical and subtropical growth conditions. Here, we examined the leverage of existing published articles regarding the significance and potential of sugar beet production in the tropics and subtropics, covering its pros and cons in comparison to sugarcane. The challenges for sugar beet production have also been identified, and possible mitigation strategies are suggested. Our assessment reveals that sugar beet can be a promising sugar crop in tropical and subtropical regions, considering the lower water requirements and higher salt resistance.

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Comprehensive Evaluation of Different Sugar Beet Varieties by Using Principal Component and Cluster Analyses

Cited by 7 publications

References 15 publications

Genetic Diversity and Relationship of Some Sugar Beet Population by Morpho-physiological Traits

Genetic Diversity and Relationship of Some Sugar Beet Population by Morpho-physiological Traits

Biplot analysis for yield and quality traits and comprehensive evaluation of sugar beet varieties treated by abscisic acid under water deficit stress

Sugar Beet Cultivation in the Tropics and Subtropics: Challenges and Opportunities

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