ارزیابی و مقایسه خصوصیات کمی و کیفی ارقام تجاری چغندر قند در منطقه غرب کشور (کرمانشاه و لرستان)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 بخش تحقیقات چغندر قند

2 بخش تحقیقات چغندرقند، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان همدان، سازمان تحقیقات، آموزش و ترویج کشاورزی، همدان، ایران.

3 بخش تحقیقات چغندر قند.

4 بخش تحقیقات اصلاح و تهیه بذر چغندر قند، مرکز تحقیقات کشاورزی و منابع طبیعی همدان

5 بخش تحقیقات چغندرقند، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان همدان، سازمان تحقیقات،آموزش وترویج کشاورزی، همدان، ایران.

چکیده

اهداف: مطالعه حاضر با هدف ارزیابی و گروهبندی ارقام جدید داخلی و خارجی چغندر قند از لحاظ خصوصیات کمی و کیفی در منطقه غرب کشورانجام شد،
مواد و روش‌ها: در این آزمایش ها 12 رقم تجاری داخلی و خارجی به صورت طرح بلوک های کامل تصادفی در سه تکرار در دو منطقه کرمانشاه و لرستان مورد ارزیابی قرار گرفتند.
یافته‌های تحقیق:. نتایج نشان داد رقم Rivolta در محیط کرمانشاه و رقم Perfekta در محیط لرستان بالاترین عملکرد ریشه، عملکرد قند ناخالص و عملکرد قند خالص را به خود اختصاص دادند، همچنین در محیط کرمانشاه ارقام Rivolta و Anaconda و در محیط لرستان ارقام Perfekta و Cadmus نزدیک‌ترین ارقام به رقم ایده‌آل بودند. بر اساس نتایج تجزیه خوشه‌ای ارقام در محیط کرمانشاه به سه و در محیط لرستان به پنج گروه دسته بندی شدند، به‌طوری‌که در محیط کرمانشاه سه رقم Anaconda، Perfekta و Rivolta و در محیط لرستان سه رقم Anaconda، Gecko و Perfekta در خوشه‌ای قرار گرفتند که از بهترین خصوصیات کمی و کیفی برخوردار بودند. در تجزیه به عامل‌ها از طریق تجزیه به مؤلفه‌های اصلی در هر دو محیط دو عامل شناسایی شد ند که در محیط کرمانشاه 85/77 درصد و در شرایط لرستان 11/88 درصد از تغییرات داده‌ها را تبیین کردند.
نتیجه‌گیری: در این بررسی دو رقم تجاری Anaconda و Perfekta در هر دو محیط بهترین خصوصیات کمی و کیفی را به خود اختصاص دادند، کشت دو رقم مذکور می‌تواند پتانسیل تولید شکر را در منطقه غرب کشور بهبود دهد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluation and comparison of quantitative and qualitative characteristics of commercial sugar beet cultivars in the western region of the country (Kermanshah and Lorestan)

نویسندگان [English]

  • Saeed Sadeghzadeh Hemayati 1
  • Mahdi Hassani 2
  • ALI Jalilian 3
  • Mohammad Reza Mirzai 1
  • Hamze Hamze 4
  • hamed mansouri 5
1 Sugar Beet Seed Institute (SBSI)
2 Sugar Beet Research Department, Hamedan Agricultural and Natural Resources Research and Education Center, AREEO, Hamedan, Iran.
3 Sugar Beet Seed Institute (SBSI)
4 Agricultural and Natural Resources Research Center of Hamedan, Agricultural Research, Education and Extension Organization (AREEO), Iran
5 Sugar Beet Research Department, Hamedan Agricultural and Natural Resources Research and Education Center, AREEO, Hamedan, Iran.
چکیده [English]

Abstract
Background & Objective: The present study was conducted with the aim of evaluating and grouping new domestic and foreign sugar beet cultivars for quantitative and qualitative characteristics in the western region of the country.
Materials & Methods: In these experiments, 12 domestic and foreign commercial cultivars were evaluated in a randomized complete block design with three replications in the two regions of Kermanshah and Lorestan.
Results: The results showed that the Rivolta variety in the Kermanshah region, and the Perfekta variety in the Lorestan environment showed the highest root yield, sugar yield and with sugar yield. Also, in the Kermanshah environment, the cultivars Rivolta and Anaconda were the closest cultivars to the ideal cultivar, and in the Lorestan environment, the cultivars Perfekta and Cadmus were the closest to the ideal cultivar respectively. Based on the results of cluster analysis, cultivars were classified into three groups in Kermanshah and five groups in Lorestan. So, in the Kermanshah area, three cultivars Anaconda, Perfekta, and Rivolta, and in Lorestan three cultivars of Anaconda, Gecko, and Perfekta were placed in a cluster that had the best quantitative and qualitative characteristics. In factor analysis, two factors were identified in both environments, which explained 77.85% in Kermanshah and 88.11% of data changes in Lorestan conditions.
Conclusion: In this study, two commercial cultivars, Anaconda and Perfekta, had the best quantitative and qualitative characteristics in both environments. Cultivation of these two cultivars can improve the potential of sugar production in the western region of the country.

کلیدواژه‌ها [English]

  • diversity
  • pilot
  • region
  • sugar content
  • cluster analysis
Abdemishani S and Shahnejatboshehri AA. 2008. Advance in Plant Breeding. Tehran university press. 248p. (In Persian).
Ahmadi H, Hamidi J, Soltani Idliki J, Rezaei M and Kakouinejad M. 2020. Correlation between yield and quality traits of sugar beet cultivars with rhizomania disease indices in field contamination conditions. 10.22055 / PPD.2020.32377.1873. (In Persian).
FAOSTAT. 2021. Crops Production /Yield quantities of Sugar beet. Available at: http://www.fao.org/faostat/ (Accessed October 4th 2021).

Farshadafar E. 2005. Principles and multivariate statistical methods (second edition). Kermanshah, Publications Taq Bostan. pp: 734. (In Persian).

Farshadfar E and Sutka J. 2006. Biplot analysis of genotype-environment interaction in durum wheat using the AMMI model. Acta Agronomica Hungarica, 54(4): 459- 467.
Fotouhi K,   Majidi E,  Rajabi A and  Azizinejad R. 2017.  Study of genetic variation for drought tolerance in sugar beet half-sib families. Journal of Sugar Beet, 33 (1): 1-16. (In Persian).
Hamzeh H, Hasani M, Mansoori H and Chaharmahali M. 2021. Identification of genotypes of rhizoctonia-tolerant sugar beet o-type using the ideal genotype selection index (SIIG). Seventeenth National and Third Congress of the International Congress of Agricultural Sciences and Plant Breeding of Iran, 5 to 7 February. 2021 - Shahid Bahonar University of Kerman.
Hasani M, hamze H, Mansori H, Fathullah Taleghani D, jalilian A and Soltani Idliki. 2021. 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, 13 (38):149-159. (In Persian)
Hasani M, Hamze H and Mansori H. 2021. Evaluation of Adaptability and Stability of Root Yield and White Sugar Yield (Beta vulgaris L.) in Sugar Beet Genotypes using Multivariate AMMI and GGE Biplot Method. Journal of Crop Breeding, 13 (37):222-235. (In Persian)
Jobson J. 2012. Applied multivariate data analysis: volume II: Categorical and Multivariate Methods, Springer Science & Business Media, 732 pp.
Hassani M, Hamze H and Mansouri M. 2022. Compatibility and stability of new rhizomania resistant multigerm hybrids in sugar beet (Beta vulgaris L.). Journal of Agricultural Science and Sustainable Production, 10.22034/SAPS.2022.49322.2787.
Miller PA, Williams CJ, Robinson HF and Comstock R. 1958. Estimates of genotypic and environmental variances and covariance in upland cotton and their implication in selection. Agricultural Journal, 50: 126- 137.
Mohammadi, S. A., and B. M. Prasanna. 2003. Analysis of genetic diversity in cropplantsSalient statistical tools and considerations. Crop Science 43: 1235-1248.
Moshari S, Hemati R, Mahmoudi SB and Pedram A. 2019. Evaluation of sugar beet commercial cultivars resistance against root rot caused by R. solani and F. oxysporum. Journal of Sugar Beet, 35 (2):121-139.
Mostafavi K, Orazizadeh MR and Rajabi A. 2017. Genotype - environment interaction pattern analysis for sugar beet (Beta vulgaris L.) cultivars yield using AMMI multivariate method. Journal of sugar beet, 33(2): 135-147 (In Persian).
Niazian M, Rajabi A, Amiri R, Orazizadeh MR and Sharifi H. 2012. Surveying the Relations Among Traits Affecting Root Yield and Sugar Content in O-type Lines of Sugar Beet for Winter Sowing. Journal of Plant Production, 2 (2): 115-135.
Pierre CS, Crossa Manes J and Reynolds MP. 2010. Gene action of canopy temperature in red wheat under diverse environments. Theoretical and Applied Genetics, 120: 1107–1117.
Raiger HL and Prabhakaran VT. 2001. A study on the performance of a few non-parametric stability measures using pearl-millet data. Indian Journal of Genetic, 61: 7- 11.
Xie M. 1996. Selection of stable cultivars using phenotypic variances. Crop Science, 36: 572-576.
ICUMSA, 2009. International Commission for Uniform Methods of Sugar Analysis, Methods Book. Berlin, Bartens.
Zali H, Sofalian O, Hasanloo T, Asghari A and Hoseini S M. 2015. Appraising of drought tolerance relying on stability analysis indices in canola genotypes simultaneously, using selection index of ideal genotype (SIIG) technique: Introduction of new method. Biol Forum. 2015; 7(2): 703-711.
Zali H, Sofalian O, Hasanloo T, Asghari A and Zeinalabedini M. 2016. Appropriate Strategies for Selection of Drought Tolerant Genotypes in Canola. Journal of Crop Breeding, 78(20): 77-90 (In Persian).