Related Links
Analysis of variation in some agronomic and quality traits related to sugar in some sugar beet genotypes | ||
| چغندرقند | ||
| Article 2, Volume 40, Issue 1, February 2025, Pages 1-12 PDF (840.16 K) | ||
| Document Type: Scientific - Research | ||
| DOI: 10.22092/jsb.2024.366731.1367 | ||
| Authors | ||
| Naser Sabaghnia* 1; kayvan fotouhi2; Masoumeh Rahimpour3; Hamid Hatami Maleki3 | ||
| 1Madar QS | ||
| 2expert | ||
| 3Department of Plant Production and Genetics, Faculty of Agriculture University of Maragheh | ||
| Abstract | ||
| This study was conducted with the aim of investigating 20 sugar beet hybrids based on completely randomized bloke design with six replications, in the cold, semi-arid conditions of northwest Iran (Miandoab). Traits such as sugar content (SC), sodium content (Na), potassium amount (K), alpha-amino nitrogen (AN), alkalinity coefficient (ALC), white sugar content (WSC), extraction coefficient of sugar (ECS), molasses sugar (MS), root yield (RY) and tuber size (TS) were measured. The highest coefficient of variation was observed in the root yield trait. Principal components analysis showed that four components had eigenvalues above unity and were extracted, which explained about 88% of the changes. These components were named impurity factors, crystallized sucrose inhibitor, yield and, quantity and quality inhibitor, respectively. The graph of the first two components showed a positive relationship between the amount of sodium and alpha-amino nitrogen, as well as between root performance and tuber size. Also, there was a positive correlation between sugar extraction coefficient, sugar grade and white sugar content due to closed angles between vectors. The graph of the first two main components of sugar beet hybrids separated them into four different groups, the fourth group includes 5 hybrids (1, 6, 8, 12 and 13) and in terms of characteristics such as sugar extraction coefficient, white sugar amount, root yield and the size of the tumor was significant. The amount of potassium, alkalinity coefficient and molasses sugar of this group is low, so these hybrids can be introduced to regional performance tests for further investigation to be evaluated in terms of performance and quality. The identified superior hybrids have good production potential and can be compared with conventional cultivars in future trials. | ||
| Keywords | ||
| biplot; diversity; principal components analysis; root yield | ||
| References | ||
|
Abbasi Z, Majidi MM, Arzani A, Rajabi A, Mashayekhi P, Bocianowski J. Association of SSR markers and morpho-physiological traits associated with salinity tolerance in sugar beet (Beta vulgaris L.). Euphytica. 2015. 205:785–797. Doi: https://doi.org/10.1007/s 10681-015-1408-1 Anonymous. Food and Agricultural Organization of the United Nations. 2022. http://faostat.fao.org [last accessed 11.17.2024]. Artyszak A, Gozdowski D. Influence of various forms of foliar application on root yield and technological quality of sugar beet. Agriculture. 2021. 11:693. Doi: https://doi.org/10.3390/agriculture11080693 Azizi H, Pedram A, Fasahat, P. Identification of effective traits on sugar beet (Beta vulgaris L.) root yield under natural infection conditions to rhizomania virus disease. Journal of Crop Breeding. 2021. 13:197-204.Doi:https://doi.org/10.52547/jcb.13.37.197 Hasani M, Hamza H, Mansori H, Fathullah-Taleghani D, Jalilian A, Soltani-Idliki J, Sharifi M, Kakouinejad M. Evaluation of genetic parameters, relationships between traits and grouping of new sugar beet hybrids in terms of quantitative and qualitative traits under rhizomonia contamination condition. Journal of Crop Breeding. 2021. 13:149-159. Doi: https://doi.org/10.52547/jcb.13.38.149 Hu XH, Jian-Zhou C, Hong-Yang Z. Comprehensive evaluation of different sugar beet varieties by using principal component and cluster analyses. Journal of Physics: Conference Series. 2019. 1176:042021. Doi:https://doi.org/10.1088/1742-6596/1176/4/042021 Kiymaz S, Ertek A. Yield and quality of sugar beet (Beta vulgaris L.) at different water and nitrogen levels under the climatic conditions of Kırsehir, Turkey. Agricultural Water Management. 2015. 158:156-165.Doi:https://doi.org/10.1016/j.agwat.2015.05.004 Liu, D., Wang, X., Li, W. Li J, Tan W, Xing w.. Genetic diversity analysis of the phenotypic traits of 215 sugar beet germplasm resources. Sugar Tech. 2022. 24, 1790–1800. Doi: https://doi.org/10.1007/s12355-022-01120-8 Mohamad-Yosefi S, Najafi H, Ahmadi M. Study of genetic diversity in sugar beet (Beta vulgaris L.) genotypes for bolting resistant and morpho-physiological traits. Applied Crop Filed Research. 2016; 29: 55-65. Doi: https://doi.org/10.22092/aj.2016.109592 Mohammadian R. Management package to reduce irrigation water and increase water use productivity in sugar beet cultivation. Water Management in Agriculture. 2020. 6(2): 103-114. Nabizadeh E, Fotohi K. Study of relationships among qualitative and quantitative traits in sugar beet genotypes infected with rhizoctonia. Journal of Crop Breeding. 2018. 10: 94-103. Doi: https://doi.org/10.29252/jcb.10.27.94 Nasri R, Kashani AS, Paknejad F, Ghorbani MSS. Correlation and path analysis of yield and quality of sugar beet in both direct seeding and transplanting of saline lands. Agriculture and Horticulture. 2012. 8:226–313. Tsialtas JT, Maslaris N. Nitrogen effects on yield, quality and K/Na selectivity of sugar beets grown on clays under semi-arid, irrigated conditions. International Journal of Plant Production. 2013. 7: 355-372. Doi:https://doi.org/10.22069/ijpp.2013.1109 Żarski J, Kuśmierek-Tomaszewska R, Dudek S. Impact of irrigation and fertigation on the yield and quality of sugar beet (Beta vulgaris L.) in a moderate climate. Agronomy. 2020; 10: 166-176. Doi:https://doi.org/10.3390/agronomy10020166
| ||
|
Statistics Article View: 214 PDF Download: 271 |
||
Journal management system. designed by sinaweb