Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-24T10:49:19.155Z Has data issue: false hasContentIssue false

Diversity in nutritional composition of Swiss chard (Beta vulgaris subsp. L. var. cicla) accessions revealed by multivariate analysis

Published online by Cambridge University Press:  28 October 2011

M. K. Bozokalfa*
Affiliation:
Department of Horticulture, Faculty of Agriculture, Ege University, Bornova35100, Izmir, Turkey
Bülent Yağmur
Affiliation:
Department of Soil Science, Faculty of Agriculture, Ege University, Bornova35100, Izmir, Turkey
Tansel Kaygısız Aşçıoğul
Affiliation:
Department of Horticulture, Faculty of Agriculture, Ege University, Bornova35100, Izmir, Turkey
Dursun Eşiyok
Affiliation:
Department of Horticulture, Faculty of Agriculture, Ege University, Bornova35100, Izmir, Turkey
*
*Corresponding author. E-mail: mehmet.kadri.bozokalfa@ege.edu.tr

Abstract

Mineral concentration levels in cultivated vegetables have received very little concern in the context of biodiversity despite the fact that most vegetables have a rich micronutrient composition. Swiss chard is an important salad crop which is high yielding and rich in minerals, vitamins and phenolic compounds. It is also extremely easy to grow. However, there is a lack of information on the genetic variability of mineral concentration of Swiss chard. Mineral composition diversity of 54 genetically diverse Swiss chard accessions, representative of all Turkish Swiss chard genetic resources, was investigated using multivariate analysis. These traits are useful in evaluating germplasm diversity in the nutritional concentration context and for use in further breeding programmes which will focus on improving mineral concentrations in Swiss chard cultivars. The results displayed significant differences among accessions and remarkably high nutrient contents. The data gathered were analyzed using principal components (PCs) and cluster analysis and revealed five major groupings. The data also observed 74.39% of total variation. The first three PCs accounted for 49.86% of the total variation in the population. Present values provided great variability among accessions and the results demonstrate that it is possible to identify genetic differentiation among Swiss chard accession for some nutritional elements. The genetic resources that exist indicate that potentially important accessions could be used as a gene source due to their high levels of K, Ca, Cu and Zn in breeding programmes.

Type
Research Article
Copyright
Copyright © NIAB 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anthony, H, Mark, G and Margot, L (1992) The New Royal Horticultural Society, Dictionary of Gardening. vol. 4. London: The Macmillan Press and The Stockton Press.Google Scholar
Balks, R and Reekers, I (1955) Bestimmung des nitrat und ammoniakstickstoffs im boden [Determination of nitrate and ammonium nitrogen in soil]. Landwirtschaftliche Forschung 8: 713.Google Scholar
Beebe, S, Gonzalez, AV and Rengifo, J (1999) Research on trace minerals in common bean. In: Improving Human Nutrition through Agriculture: The Role of International Agricultural Research. A Workshop Hosted by the International Rice Research Institute, 5–7 October 1999, Organized by the International Food Policy Research Institute, Los Banos, Philippines.Google Scholar
Bhargava, A, Shukla, S, Srivastava, J, Singh, N and Ohri, D (2008) Chenopodium: a prospective plant for phytoextraction. Acta Physiologiae Plantarum 30: 111120.CrossRefGoogle Scholar
Bisht, IS, Bhat, KV, Lakhanpaul, S, Latha, M, Jayan, PK, Biswas, BK and Singh, AK (2005) Diversity and genetic resources of wild Vigna species in India. Genetic Resources and Crop Evolution 52: 5368.CrossRefGoogle Scholar
Borah, S, Baruah, AM, Das, AK and Borah, J (2009) Determination of mineral content in commonly consumed leafy vegetables. Food Analytical Methods 2: 226230.CrossRefGoogle Scholar
Bozokalfa, MK, Yağmur, B, Ilbi, H, Eşiyok, D and Kavak, S (2009) Genetic variability for mineral concentration of Eruca sativa L. and Diplotaxis tenuifolia L. accessions. Crop Breeding and Applied Biotechnology 9: 372381.CrossRefGoogle Scholar
Chope, GA and Terry, LA (2009) Use of canonical variate analysis to differentiate onion cultivars by mineral content as measured by ICP-AES. Food Chemistry 115: 11081113.CrossRefGoogle Scholar
Davey, MW, van den Bergh, I, Markham, R, Swennen, R and Keulemans, J (2009) Genetic variability in Musa fruit provitamin A carotenoids, lutein and mineral micronutrient contents. Food Chemistry 115: 806813.CrossRefGoogle Scholar
Davis, DR (2009) Declining fruit and vegetable nutrient composition: what is evidence? HortScience 44: 1519.CrossRefGoogle Scholar
Donald, NM and George, JH (1997) Knott's Handbook for Vegetable Growers. 4th edn. 582 pp. New York: John Wiley and Sons.Google Scholar
Dzida, K and Pitura, K (2008) The influence of varied nitrogen fertilization on yield and chemical composition of swiss chard (Beta vulgaris L. var. cicla). Acta Scientiarum Polonorum Hortorum Cultus 7: 1524.Google Scholar
Fadigas, JC, Dos Santos, AMP, De Jesus, RM, Lima, DC, Fragoso, WD, David, JM and Ferreira, SLC (2010) Use of multivariate analysis techniques for the characterization of analytical results for the determination of the mineral composition of kale. Microchemical Journal 96: 352356.CrossRefGoogle Scholar
Friedt, W, Snowdon, R, Ordon, F and Ahlemeyer, J (2007) Plant breeding: assessment of genetic diversity in crop plants and its exploitation in breeding. Progress in Botany 168: 152178.Google Scholar
Frossard, E, Bucher, M, Machler, F, Mozafar, A and Hurrell, R (2000) Potential for increasing the content and bioavailability of Fe, Zn, and Ca in plants for human nutrition. Journal of the Science of Food and Agriculture 80: 861879.3.0.CO;2-P>CrossRefGoogle Scholar
Gao, ZJ, Han, XH and Xiao, XG (2009) Purification and characterization of polyphenol oxidase from red Swiss chard (Beta vulgaris subspecies cicla) leaves. Food Chemistry 117: 342348.CrossRefGoogle Scholar
Grusak, MA and Dellapenna, D (1999) Improving the nutrient composition of plants to enhance human nutrition and health. Annual Review of Plant Physiology 50: 133161.CrossRefGoogle Scholar
Harrison, HC and Bergman, EL (1981) Calcium, magnesium, and potassium interrelationships affecting cabbage production. Journal of American Society for Horticultural Science 106: 500503.CrossRefGoogle Scholar
Kader, AA (2008) Flavor quality of fruits and vegetables. Journal of the Science of Food and Agriculture 88: 18631868.CrossRefGoogle Scholar
Kuhnlein, HV (1990) Nutrient values in indigenous wild plant greens and roots used by the Nuxalk people of Bella Coole, British Columbia. Journal of Food Composition and Analysis 3: 3846.CrossRefGoogle Scholar
Mohammadi, SA and Prasanna, BM (2003) Analysis of genetic diversity in crop plants salient statistical tools and considerations. Crop Science 43: 12351248.CrossRefGoogle Scholar
Oyen, LPA (2004) Vegetables “Beta vulgaris L.”. In: Grubben, GJH and Denton, OA (eds) Plant Resources of Tropical Africa 2. Vegetables. Wageningen/Lieden/Wageningen: PROTA Foundation/Backhuys Publishers/CTA, pp. 110113.Google Scholar
Pokluda, R and Kuben, J (2002) Comparison of selected Swiss chard (Beta vulgaris ssp. cicla L.) varieties. Horticultural Science 29: 114118.CrossRefGoogle Scholar
Pyo, Y, Lee, TL, Logendra, T and Rosen, RT (2004) Antioxidant activity and phenolic compounds of Swiss chard (Beta vulgaris subspecies cycla) extracts. Food Chemistry 85: 1926.CrossRefGoogle Scholar
Rabbani, MA, Iwabuchi, A, Murakami, Y, Suzuki, T and Takayanagi, K (1998) Genetic mustard (Brassica juncea L.) germplasm from Pakistan as determined by RAPDs. Euphytica 103: 235242.CrossRefGoogle Scholar
Rozycki, VR, Baigorria, CM, Freyre, MR, Bernard, CM, Zannier, MS and Charpentier, M (1997) Nutrient in wild vegetable products of the Argentine Chaco. Archivos Latinoamericanos de Nutricion 47: 265270.Google Scholar
Santos, SC, Ferri, PH, Santos, MR, Faria, LC, Oliveira, PI and Thung, MDT (2010) Multivariate characterization of bean varieties according to yield production, mineral and phenolic contents. Journal of Brazilian Chemistry Society 21: 19171922.CrossRefGoogle Scholar
Shun, ZF, Chu, SY and Frese, L (2000) Study on the relationship between Chinese and East Mediterranean Beta vulgaris L. subsp. vulgaris (leaf beet group) accessions. In: Maggioni, L, Frese, L, Germeier, C and Lipman, E (eds) Report of a Working Group on Beta. Rome: International Plant Genetic Resources Institute, pp. 6569.Google Scholar
Sokal, RR and Michener, CD (1958) A statistical method for evaluating systematic relationships. The University Kansas Science of Bulletin 38: 14091438.Google Scholar
Statsoft, Inc (2004) Statistica (data analysis software system version 6.0). Tulsa, OK: Statsoft, Inc.Google Scholar
Tindall, HD (1983) Vegetables in the Tropics. Westport, CT: AVI Publishing, pp. 5256.CrossRefGoogle Scholar
Welch, (2000) Enrichment of food staples through plant breeding: a new strategy for fighting micronutrient malnutrition. Nutrition Reviews 54: 131137.Google Scholar
Welch, RM and Graham, D (2004) Breeding for micronutrients in staple food crops from a human nutrition perspective. Journal of Experimental Botany 55: 353364.CrossRefGoogle ScholarPubMed
Welch, RM, House, WA, Beebe, S, Senadhira, D, Gregorio, G and Cheng, Z (2000) Testing iron and zinc bioavailability in genetically enriched bean (Phaseolus vulgaris L.) and rice (Oryza sativa L.) using a rat model. Food and Nutrition Bulletin 21: 428433.CrossRefGoogle Scholar
Wu, J, Schat, H, Sun, R, Koornneef, M, Wang, X and Aarts, MGM (2007) Characterization of natural variation for zinc, iron and manganese accumulation and zinc exposure response in Brassica rapa L. Plant and Soil 291: 167180.CrossRefGoogle Scholar
Zhang, Y, Song, O, Yan, J, Tang, J, Zhao, R, Zhang, Y, He, Z, Zou, C and Ortiz-Monasterio, I (2010) Mineral element concentrations in grains of Chinese wheat cultivars. Euphytica 174: 303313.CrossRefGoogle Scholar
Supplementary material: File

Bozokalfa Supplementary Table

Table S1. List of accessions, collection locale and origin of Swiss chard used in presents study

Download Bozokalfa Supplementary Table(File)
File 96.3 KB