EFFECT OF MOISTURE CONTENT ON WHEAT HARDNESS: AN SKCS-BASED STUDY

Year 2025, Volume: 50 Issue: 2, 275 - 283, 14.04.2025

Oğuz Acar

https://doi.org/10.15237/gida.GD25034

Abstract

This study aimed to analyze wheat hardness at varying moisture (10%–18%) using SKCS equipment and to establish regressions for relationship between moisture content and hardness index (HI). For this purpose, three bread wheat cultivars, Kınacı, Altay, and Selimiye, each with different hardness, were used. Differences between cultivars in terms of various physical and chemical properties were significant (P < 0.05). HI for Kınacı, Altay, and Selimiye decreased significantly from 18.7%, 31.5%, and 66.4% at 10% moisture to 10.9%, 16.5%, and 41.3% at 18% moisture, respectively (P < 0.05). In the regression equations, moisture content was used as the independent variable and HI as the dependent variable. Determination coefficients (R²) of equations were 0.9669 for soft wheat Kınacı, 0.9906 for medium wheat Altay and 0.9278 for hard wheat Selimiye. Consequently, regression equations are feasible and can be used to determine HI based on moisture for different hardness groups in wheat.

Keywords

Wheat , hardness , SKCS , quality , tempering , regression

Ethical Statement

This article does not contain any studies with human or animal subjects.

Project Number

-

Thanks

The author would like to thank to the Central Research Institute for Field Crops (CRIFC) for supporting the study.

BUĞDAY SERTLİĞİ ÜZERİNE RUTUBET İÇERİĞİNİN ETKİSİ: SKCS TABANLI BİR ÇALIŞMA

Abstract

Bu çalışma, SKCS cihazı kullanarak farklı nem içeriklerinde (%10–18) buğday sertliğini analiz etmeyi ve nem içeriği ile sertlik indeksi (HI) arasındaki ilişki için regresyon denklemleri belirlemeyi amaçlamıştır. Bu doğrultuda, farklı sertlik değerlerine sahip üç ekmeklik buğday çeşidi, Kınacı, Altay ve Selimiye kullanılmıştır. Çeşitler arasındaki bazı fiziksel ve kimyasal özellikler açısından farklar önemli bulunmuştur (P < 0.05). Kınacı, Altay ve Selimiye'nin HI değerleri, sırasıyla %10 nemde %18.7, %31.5 ve %66.4 iken, %18 nemde sırasıyla %10.9, %16.5 ve %41.3’e önemli derecede azalmıştır (P < 0.05). Regresyon denklemlerinde nem içeriği bağımsız değişken olarak, HI ise bağımlı değişken olarak kullanılmıştır. Eşitliklerin determinasyon katsayıları (R²) sırasıyla yumuşak buğday Kınacı için 0.9669, orta sertlikteki buğday Altay için 0.9906 ve sert buğday Selimiye için 0.9278 olmuştur. Sonuç olarak, regresyon denklemleri uygulanabilir olup, buğdaydaki farklı sertlik gruplarına göre nem içeriğine dayalı olarak HI’yi belirlemek için kullanılabilir.

Keywords

Buğday , sertlik , SKCS , kalite , tavlama , regresyon

Project Number

-

References

• AACC International, (2010). The AACC approved methods of analysis, 11th edn. The Association, St. Paul.
• Acar, O., Sanal, T., Köksel, H. (2019). Effects of wheat kernel size on hardness and various quality characteristics. Quality Assurance and Safety of Crops & Foods, 11(5), 459-464.
• Baljeet, S. Y., Yogesh, S., Ritika, B. Y. (2017). Physicochemical and rheological properties of Indian wheat varieties of Triticum aestivum. Quality Assurance and Safety of Crops & Foods, 9(4), 369-381.
• Brites, C. M., Santos, C. A. L. D., Bagulho, A. S., Beirão-da-Costa, M. L. (2008). Effect of wheat puroindoline alleles on functional properties of starch. European Food Research and Technology, 226, 1205-1212.
• Çetiner, B., Acar, O., Şanal, T., Köksel, H., (2021). Bölüm 13: Hububat ve Hububat Ürünlerinde Kalite Değerlendirme, Hububat Bilimi ve Teknolojisi, Editörler: Köksel, H., Acar, O., Çetiner, B., Köksel, F., Sidas Yayıncılık, İzmir.
• Delcour, J.A., Hoseney, C., 2010. Principles of Cereal Science and Technology (3th Ed.). American Association of Cereal Chemists, AACC, St. Paul. MN., USA, 270 pp.
• Dziki, D., Laskowski, J. (2005). Wheat kernel physical properties and milling process. Acta Agrophysica, 6(1), 59-71.
• Finney, K. F., Yamazaki, W. T., Youngs, V. L., Rubenthaler, G. L. (1987). Quality of hard, soft, and durum wheats. Wheat and Wheat Improvement, 13, 677-748.
• Gaines, C. S., Finney, P. F., Fleege, L. M., Andrews, L. C. (1996). Predicting a hardness measurement using the single-kernel characterization system. Cereal Chemistry, 73(2), 278-283.
• Gani, A., Wani, S. M., Masoodi, F. A., Hameed, G. (2012). Whole-grain cereal bioactive compounds and their health benefits: A review. Journal of Food Processing & Technology, 3(3), 146-56.
• Goldberg, G. (2008). Plants: diet and health. John Wiley & Sons.
• Hansen A. Poll L. (1997). Raavarekvalitet: Frugt, Groensager, Kartofler og Korn. Copenhagen: DSR Forlag. Hrušková, M., Švec, I. (2009). Wheat hardness in relation to other quality factors. Czech Journal of Food Sciences, 27(4), 240-248.
• ISO 520:2010. Cereals and pulses — Determination of the mass of 1 000 grains. The International Organization for Standardization.
• ISO 7971-3:2019. Cereals — Determination of bulk density, called mass per hectolitre — Part 3: Routine method. The International Organization for Standardization.
• Kent N.L., Evers A.D. (1994). Technology of Cereals, 4th edn. Oxford: Pergamon Press.
• Köksel, H., Sivri, D., Başman, A., Karacan, H., (2000). Hububat Laboratuvarı Ek Kitabı, Hacettepe Üniversitesi, Ankara.
• Liu, R. H. (2007). Whole grain phytochemicals and health. Journal of Cereal Science, 46(3), 207-219.
• Madhujith, T., Izydorczyk, M., Shahidi, F. (2006). Antioxidant properties of pearled barley fractions. Journal of Agricultural and Food Chemistry, 54(9), 3283-3289.
• Martin, J. M., Meyer, F. D., Smidansky, E. D., Wanjugi, H., Blechl, A. E., Giroux, M. J. (2006). Complementation of the pina (null) allele with the wild type Pina sequence restores a soft phenotype in transgenic wheat. Theoretical and Applied Genetics, 113, 1563-1570.
• Nirmal, R. C., Furtado, A., Wrigley, C., Henry, R. J. (2016). Influence of gene expression on hardness in wheat. PLOS one, 11(10), e0164746.
• Osborne, B. G., Anderssen, R. S. (2003). Single‐kernel characterization principles and applications. Cereal Chemistry, 80(5), 613-622.
• Pasha, I., Anjum, F. M., Morris, C. F. (2010). Grain hardness: a major determinant of wheat quality. Food Science and Technology International, 16(6), 511-522.
• Qiao, M., Xu, Y., Xia, G., Su, Y., Lu, B., Gao, X., Fan, H. (2022). Determination of hardness for maize kernels based on hyperspectral imaging. Food Chemistry, 366, 130559.
• Sissons, M. J., Osborne, B. G., Hare, R. A., Sissons, S. A., Jackson, R. (2000). Application of the single‐kernel characterization system to durum wheat testing and quality prediction. Cereal Chemistry, 77(1), 4-10.
• Slavin, J. (2003). Why whole grains are protective: biological mechanisms. Proceedings of the Nutrition Society, 62(1), 129-134.
• Szabó, B. P., Gyimes, E., Véha, A., Horváth, Z. H. (2016). Flour quality and kernel hardness connection in winter wheat. Acta Universitatis Sapientiae, Alimentaria, 9(1), 33-40.
• Windham, W. R., Gaines, C. S., Leffler, R. G. (1991). Moisture influence on near-infrared prediction of wheat hardness. In Optics in Agriculturei, 1379, 39-44.