Selection of Superior Sugar Beet Genotypes using the Analysis of Quantitative and Qualitative Traits

Background: Sugar beet stands as a cornerstone crop in global agriculture, holding a pivotal position in sugar production and significantly shaping the sweetener industry.Given its fundamental role, enhancing traits crucial for sugar beet growth and yield is imperative to meet the escalating sugar demand forecasted for the future.Consequently, sugar beet breeding has long been a critical domain of research and development, focusing on enhancing yield, quality, and resistance to diseases of this essential commodity.Breeders have effectively cultivated sugar beet varieties boasting elevated quantitative and qualitative yields, alongside enhanced disease resistance, achieved through the meticulous selection and crossbreeding of diverse sugar beet lines.The current study undertakes the comprehensive evaluation of sugar beet genotypes across various traits encompassing quantitative and qualitative performance, aiming to pinpoint and select superior genotypes for future breeding initiatives.Methods: This research was conducted on 49 meticulously chosen sugar beet genotypes, comprising 44 novel hybrids and five control varieties, encompassing three domestic and two foreign cultivars.These innovative hybrids emerged from a cross between 22 pure pollinator lines of sugar beet as the paternal parent and two commercial monogerm male-sterile single crosses as the maternal parent in 2020 at the Sugar Beet Seed Institute (SBSI), Karaj, Alborz, Iran.The phenotypic assessment of these experimental genotypes was conducted throughout the 2021 crop year at the Hamedan Agricultural Research Station utilizing an augmented randomized complete block design.The genotypes were cultivated in eight-meter rows spaced 50 cm apart within five incomplete blocks.Following data collection, variance analysis was carried out using R software.Subsequently, trait values for each hybrid were adjusted based on the augmented design implementation and the variance analysis outcomes for the various studied traits.The corrected trait averages were then employed for subsequent statistical analyses.Results: The results obtained from the variance analysis of various evaluated traits, such as white sugar yield, root yield, sugar content, sodium, potassium, and alpha-amino nitrogen, revealed that the adjusted block effect non-significantly influenced all the studied traits.This non-significance indicates the homogeneity of the incomplete blocks concerning controllable or uncontrollable environmental conditions.Notably, the adjusted treatment effect proved significant for all traits, except for root yield and potassium content at a 1% probability level.When dissecting the treatment effect into hybrid and control impacts, it emerged that only the sugar content trait exhibited a significant hybrid effect while all the investigated traits showed a significant control effect.The analysis of the hybrid versus control effect unveiled a significant disparity solely in terms of sodium and alpha-amino nitrogen content at a 1% probability level, with no notable difference observed for the other traits.Among the experimental hybrids and controls, two controls, 8K801 and BTS 1885, along with genotypes 33, 12, and 24, demonstrated commendable average white sugar yields ranging from 9.15 to 10.52 tons per hectare.These hybrids notably outperformed domestic controls, e.g.Hosna, Kimia, and Shokoufa, indicating the superiority of the new improved hybrids over internal control varieties.Genotype 42 exhibited the least favorable condition in white sugar yield and ranked lowest.The phenotypic diversity coefficient

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Journal
Surūsh javān.
Published
2024-11-01
DOI
https://doi.org/10.61186/jcb.16.4.64
Primary Topic
Genetics and Plant Breeding
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article
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article

Selection of Superior Sugar Beet Genotypes using the Analysis of Quantitative and Qualitative Traits

Hamed Mansouri, Ali Saremirad, Mahdi Hassani
Surūsh javān.
Genetics and Plant Breeding
article

Selection of Superior Sugar Beet Genotypes using the Analysis of Quantitative and Qualitative Traits

Hamed Mansouri, Ali Saremirad, Mahdi Hassani
article en

Abstract

Background: Sugar beet stands as a cornerstone crop in global agriculture, holding a pivotal position in sugar production and significantly shaping the sweetener industry.Given its fundamental role, enhancing traits crucial for sugar beet growth and yield is imperative to meet the escalating sugar demand forecasted for the future.Consequently, sugar beet breeding has long been a critical domain of research and development, focusing on enhancing yield, quality, and resistance to diseases of this essential commodity.Breeders have effectively cultivated sugar beet varieties boasting elevated quantitative and qualitative yields, alongside enhanced disease resistance, achieved through the meticulous selection and crossbreeding of diverse sugar beet lines.The current study undertakes the comprehensive evaluation of sugar beet genotypes across various traits encompassing quantitative and qualitative performance, aiming to pinpoint and select superior genotypes for future breeding initiatives.Methods: This research was conducted on 49 meticulously chosen sugar beet genotypes, comprising 44 novel hybrids and five control varieties, encompassing three domestic and two foreign cultivars.These innovative hybrids emerged from a cross between 22 pure pollinator lines of sugar beet as the paternal parent and two commercial monogerm male-sterile single crosses as the maternal parent in 2020 at the Sugar Beet Seed Institute (SBSI), Karaj, Alborz, Iran.The phenotypic assessment of these experimental genotypes was conducted throughout the 2021 crop year at the Hamedan Agricultural Research Station utilizing an augmented randomized complete block design.The genotypes were cultivated in eight-meter rows spaced 50 cm apart within five incomplete blocks.Following data collection, variance analysis was carried out using R software.Subsequently, trait values for each hybrid were adjusted based on the augmented design implementation and the variance analysis outcomes for the various studied traits.The corrected trait averages were then employed for subsequent statistical analyses.Results: The results obtained from the variance analysis of various evaluated traits, such as white sugar yield, root yield, sugar content, sodium, potassium, and alpha-amino nitrogen, revealed that the adjusted block effect non-significantly influenced all the studied traits.This non-significance indicates the homogeneity of the incomplete blocks concerning controllable or uncontrollable environmental conditions.Notably, the adjusted treatment effect proved significant for all traits, except for root yield and potassium content at a 1% probability level.When dissecting the treatment effect into hybrid and control impacts, it emerged that only the sugar content trait exhibited a significant hybrid effect while all the investigated traits showed a significant control effect.The analysis of the hybrid versus control effect unveiled a significant disparity solely in terms of sodium and alpha-amino nitrogen content at a 1% probability level, with no notable difference observed for the other traits.Among the experimental hybrids and controls, two controls, 8K801 and BTS 1885, along with genotypes 33, 12, and 24, demonstrated commendable average white sugar yields ranging from 9.15 to 10.52 tons per hectare.These hybrids notably outperformed domestic controls, e.g.Hosna, Kimia, and Shokoufa, indicating the superiority of the new improved hybrids over internal control varieties.Genotype 42 exhibited the least favorable condition in white sugar yield and ranked lowest.The phenotypic diversity coefficient

Surūsh javān.Vol. 16(4)
Soil Conservation and Watershed Management Research (IR), Hamedan University of Technology (IR), Agricultural Research & Education Organization (IR)
Zero hunger
Openalex Percentile: Top 85%
Genetics and Plant Breeding
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