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Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions

Year 2017, Volume: 11 Issue: 1, 21 - 28, 30.04.2017

Abstract

The purpose of this study was to reveal the effect of minerals (Mg, S, Fe, N, Ca, Mn, Zn, P, Cu and K) and some yield component (seed weight per spike and SPAD) on seed yield, to show similarities/dissimilarities in behavior of genotypes and minerals by some statistical methods. Multiple regression (Minitab Software 16), conditional formatting (Excel 2016), principal component and classification (Statistica 10) and cluster (NCSS) analyses were used in evaluation of data. Though some minerals are highly effective on some processes, their behavior in genotypes are almost similar and effect of them is integrative. Effectiveness of minerals are under genotype x environment interaction and mainly under genetic control. Seed weight per spike, SPAD, N, P, are closely related to seed yield; Fe, Mn, Zn and Cu are also related to photosynthesis. Besides, Atay, Bezostaja, Harmankaya and Es 26 were determined as better genotypes in yield components and mineral content.

References

  • [1] Acevedo E, Conesa AP, Monneveux P, Srivastava JP (1989) Physiology-Breeding of Winter Ceceals for Stressed Mediterranean Environments. INRA Editions, Versailles Cedex, France.
  • [2] Andales AA, Gren TR, Ahuja LR, Erksine RH, Peterson GA (2007) Temporally stable patterns in grain yield and soil water on a dry land catena. Agricultural Systems. 94:119–127.
  • [3] Andrıolo Jl, Erpen L, Cardoso Fl, Cocco C, Casagrande GS, Janısch DI (2011) Nitrogen Levels in the Cultivation of Strawberries in Soilless Culture. Horticultura Brasileira, 29: 516-519.
  • [4] Anonymous (2013) Research on Bread Waste in Turkey, T.M.O. 2nd Press, Ankara.
  • [5] Anonymous (2016) https://www.actx.edu/web/files/filecabinet/folder7/Excel
  • [6] Ashraf M, Harris PJC (2004) Potential biochemical indicators of salinity tolerance in plants. Plant Science 166, 3-16.
  • [7] Bonfil DJ, Kafkafi U (2000) Wild wheat adaptation in different soil ecosystems as expressed in the mineral concentration of the seeds. Euphytica 114, 123-134.
  • [8] Borgognone MG, Bussi J, Hough G (2001) Principal Component Analysis: Covariance or Correlation Matrix. Food Quality and Preference, 12: 323-326
  • [9] Bothwell JHF, Ng CKY (2005) The evolution of Ca2+ signalling in photosynthetic eukaryotes. New Phytol. 166: 21-38.
  • [10] Ceylan A (1994) Field Crop Production. İzmir: AeM. gean University Press. 520 p.
  • [11] Cakmak I (2008) Enrichment of cereal grains with zinc: agronomic or genetic biofortification. Plant and Soil 302: 1-17.
  • [12] Doğan, R., 2002: Determination of Grain Yield and Some Agronomic Characters of Bread Wheat (Triticum aestivum L.) Lines. Journal of Agricultural Faculty of Uludağ University 16 (2): 149-158.
  • [13] Frank IE, Kowalski BR (1984) Prediction of Wine Quality and Geographic Origin from Chemical Measurements by Partial Least-Squares Regression Modeling, Analytica Chimica Acta, 162: 241-251.
  • [14] Frank IE, Friedman JH (1993) A Statistical View of Some Chemometrics Regression Tool, Technometrics, 35: 109-135
  • [15] Garcia del Moral LF, Rharrabti Y, Villegas D, Royo C (2003) Evaluation of grain yield and its components in durum wheat under Mediterranean conditions: An ontogenic approach. Agron. J. 95(2): 266-274.
  • [16] Genç İ (1977) Physiological and Morphological Basis in Cereals. Çukurova Üniv. Agric. Fac. Press.
  • [17] Kouakou, B., Alexis KSS, Adjehi D, Marcelin DK, Dago G (2008) Biochemical changes occurring during germination and fermentation of millet and effect of technological processes on starch hydrolysis by the crude enzymatic extract of millet. Journal of Applied Science Research 4: 1502-1510.
  • [18] Handl S, Dowd SE, Garcia-Mazcorro JF, Steiner JM, Suchodolski JS (2011) Massive parallel16S rRNA gene pyrosequencing reveals highly diverse fecal bacterial and fungal communities in healthy dogs and cats. FEMS Microbiol. Ecol., 76: 301–310.
  • [19] Johnson AR, Wichern DW (1992) Applied multivariate statistical analysis. International Editions, New Jersey: Prentice Hall.
  • [20] Jolliffe IT (2002) Principal Component Analysis. 2nd. Ed. Springer, ISBN 0-387-95442-2, New York, USA
  • [21] Kaufman L, Rousseeuw PJ (1990) Finding groups in data: An introduction to cluster analysis, New York: John Wiley and Sons.
  • [22] Krzanowski WJ (2000) Principal of Multivariate Analysis, A User’s Perspective. Oxford, ISBN 0-19-850708-9, New York, USA.
  • [23] Lambers H, Cramer MD, Shane MW, Wouterlood M, Poot P, Veneklass EJ (2003) Structure and Functioning of Cluster Roots and Plant responses to Phosphate Deficiency. Plant and Soil, 248: 9-19.
  • [24] Marriot FHC (1971) Practical problems in a method of cluster analysis. Biometrics, 27: 501-514.
  • [25] McIntosh GH, Noakes M, Royle PJ, Foster PR (2003) Whole-grain rye and wheat foods and markers of bowel health in overweight middle-aged men. American J. Clinical Nutrition, 77/4: 967-974
  • [26] Marschner H (1995) Mineral Nutrition of Higher Plants. Academic Press, 657-680.
  • [27] Mertens D (2005) AOAC official method 975.03. in: W. Horwitz, G. W. Latimer (eds) Metal in Plants and Pet Foods. Official Methods of Analysis, 18th edn. Maryland, USA, pp 3-4.
  • [28] Özdamar K (1999) Statistical Data Analysis with Computer Programs, 2nd Edn. Vol: I-II, Eskisehir, Turkey.
  • [29] Roberts TL (2010) Nutrient best management practices: Western perspectives on global nutrient stewardship. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, 172-175.
  • [30] Singhl BK, Shaner DL (1995) Biosynthesis of branched chain amino acids: From test tube to field, The Plant Cell, 7: 935-944.
  • [31] Varga B, Svecnjak Z, Pospisi A (2002) Grain yield and yield components of winter wheat grown in two management systems. Die Bodenkultur 51(3): 145-150.
Year 2017, Volume: 11 Issue: 1, 21 - 28, 30.04.2017

Abstract

References

  • [1] Acevedo E, Conesa AP, Monneveux P, Srivastava JP (1989) Physiology-Breeding of Winter Ceceals for Stressed Mediterranean Environments. INRA Editions, Versailles Cedex, France.
  • [2] Andales AA, Gren TR, Ahuja LR, Erksine RH, Peterson GA (2007) Temporally stable patterns in grain yield and soil water on a dry land catena. Agricultural Systems. 94:119–127.
  • [3] Andrıolo Jl, Erpen L, Cardoso Fl, Cocco C, Casagrande GS, Janısch DI (2011) Nitrogen Levels in the Cultivation of Strawberries in Soilless Culture. Horticultura Brasileira, 29: 516-519.
  • [4] Anonymous (2013) Research on Bread Waste in Turkey, T.M.O. 2nd Press, Ankara.
  • [5] Anonymous (2016) https://www.actx.edu/web/files/filecabinet/folder7/Excel
  • [6] Ashraf M, Harris PJC (2004) Potential biochemical indicators of salinity tolerance in plants. Plant Science 166, 3-16.
  • [7] Bonfil DJ, Kafkafi U (2000) Wild wheat adaptation in different soil ecosystems as expressed in the mineral concentration of the seeds. Euphytica 114, 123-134.
  • [8] Borgognone MG, Bussi J, Hough G (2001) Principal Component Analysis: Covariance or Correlation Matrix. Food Quality and Preference, 12: 323-326
  • [9] Bothwell JHF, Ng CKY (2005) The evolution of Ca2+ signalling in photosynthetic eukaryotes. New Phytol. 166: 21-38.
  • [10] Ceylan A (1994) Field Crop Production. İzmir: AeM. gean University Press. 520 p.
  • [11] Cakmak I (2008) Enrichment of cereal grains with zinc: agronomic or genetic biofortification. Plant and Soil 302: 1-17.
  • [12] Doğan, R., 2002: Determination of Grain Yield and Some Agronomic Characters of Bread Wheat (Triticum aestivum L.) Lines. Journal of Agricultural Faculty of Uludağ University 16 (2): 149-158.
  • [13] Frank IE, Kowalski BR (1984) Prediction of Wine Quality and Geographic Origin from Chemical Measurements by Partial Least-Squares Regression Modeling, Analytica Chimica Acta, 162: 241-251.
  • [14] Frank IE, Friedman JH (1993) A Statistical View of Some Chemometrics Regression Tool, Technometrics, 35: 109-135
  • [15] Garcia del Moral LF, Rharrabti Y, Villegas D, Royo C (2003) Evaluation of grain yield and its components in durum wheat under Mediterranean conditions: An ontogenic approach. Agron. J. 95(2): 266-274.
  • [16] Genç İ (1977) Physiological and Morphological Basis in Cereals. Çukurova Üniv. Agric. Fac. Press.
  • [17] Kouakou, B., Alexis KSS, Adjehi D, Marcelin DK, Dago G (2008) Biochemical changes occurring during germination and fermentation of millet and effect of technological processes on starch hydrolysis by the crude enzymatic extract of millet. Journal of Applied Science Research 4: 1502-1510.
  • [18] Handl S, Dowd SE, Garcia-Mazcorro JF, Steiner JM, Suchodolski JS (2011) Massive parallel16S rRNA gene pyrosequencing reveals highly diverse fecal bacterial and fungal communities in healthy dogs and cats. FEMS Microbiol. Ecol., 76: 301–310.
  • [19] Johnson AR, Wichern DW (1992) Applied multivariate statistical analysis. International Editions, New Jersey: Prentice Hall.
  • [20] Jolliffe IT (2002) Principal Component Analysis. 2nd. Ed. Springer, ISBN 0-387-95442-2, New York, USA
  • [21] Kaufman L, Rousseeuw PJ (1990) Finding groups in data: An introduction to cluster analysis, New York: John Wiley and Sons.
  • [22] Krzanowski WJ (2000) Principal of Multivariate Analysis, A User’s Perspective. Oxford, ISBN 0-19-850708-9, New York, USA.
  • [23] Lambers H, Cramer MD, Shane MW, Wouterlood M, Poot P, Veneklass EJ (2003) Structure and Functioning of Cluster Roots and Plant responses to Phosphate Deficiency. Plant and Soil, 248: 9-19.
  • [24] Marriot FHC (1971) Practical problems in a method of cluster analysis. Biometrics, 27: 501-514.
  • [25] McIntosh GH, Noakes M, Royle PJ, Foster PR (2003) Whole-grain rye and wheat foods and markers of bowel health in overweight middle-aged men. American J. Clinical Nutrition, 77/4: 967-974
  • [26] Marschner H (1995) Mineral Nutrition of Higher Plants. Academic Press, 657-680.
  • [27] Mertens D (2005) AOAC official method 975.03. in: W. Horwitz, G. W. Latimer (eds) Metal in Plants and Pet Foods. Official Methods of Analysis, 18th edn. Maryland, USA, pp 3-4.
  • [28] Özdamar K (1999) Statistical Data Analysis with Computer Programs, 2nd Edn. Vol: I-II, Eskisehir, Turkey.
  • [29] Roberts TL (2010) Nutrient best management practices: Western perspectives on global nutrient stewardship. Proceedings of the 19th World Congress of Soil Science: Soil solutions for a changing world, 172-175.
  • [30] Singhl BK, Shaner DL (1995) Biosynthesis of branched chain amino acids: From test tube to field, The Plant Cell, 7: 935-944.
  • [31] Varga B, Svecnjak Z, Pospisi A (2002) Grain yield and yield components of winter wheat grown in two management systems. Die Bodenkultur 51(3): 145-150.
There are 31 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Murat Olgun This is me

Okan Sezer This is me

Metin Turan This is me

Zekiye Budak Başçiftçi This is me

N. Gözde Ayter This is me

Doğan Aydın This is me

Murat Ardıç

Onur Koyuncu This is me

Publication Date April 30, 2017
Published in Issue Year 2017 Volume: 11 Issue: 1

Cite

APA Olgun, M., Sezer, O., Turan, M., Budak Başçiftçi, Z., et al. (2017). Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions. Journal of Applied Biological Sciences, 11(1), 21-28.
AMA Olgun M, Sezer O, Turan M, Budak Başçiftçi Z, Ayter NG, Aydın D, Ardıç M, Koyuncu O. Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions. J.appl.biol.sci. April 2017;11(1):21-28.
Chicago Olgun, Murat, Okan Sezer, Metin Turan, Zekiye Budak Başçiftçi, N. Gözde Ayter, Doğan Aydın, Murat Ardıç, and Onur Koyuncu. “Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum Aestivum L.) under Irrigated Conditions”. Journal of Applied Biological Sciences 11, no. 1 (April 2017): 21-28.
EndNote Olgun M, Sezer O, Turan M, Budak Başçiftçi Z, Ayter NG, Aydın D, Ardıç M, Koyuncu O (April 1, 2017) Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions. Journal of Applied Biological Sciences 11 1 21–28.
IEEE M. Olgun, “Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions”, J.appl.biol.sci., vol. 11, no. 1, pp. 21–28, 2017.
ISNAD Olgun, Murat et al. “Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum Aestivum L.) under Irrigated Conditions”. Journal of Applied Biological Sciences 11/1 (April 2017), 21-28.
JAMA Olgun M, Sezer O, Turan M, Budak Başçiftçi Z, Ayter NG, Aydın D, Ardıç M, Koyuncu O. Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions. J.appl.biol.sci. 2017;11:21–28.
MLA Olgun, Murat et al. “Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum Aestivum L.) under Irrigated Conditions”. Journal of Applied Biological Sciences, vol. 11, no. 1, 2017, pp. 21-28.
Vancouver Olgun M, Sezer O, Turan M, Budak Başçiftçi Z, Ayter NG, Aydın D, Ardıç M, Koyuncu O. Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions. J.appl.biol.sci. 2017;11(1):21-8.