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The prediction of bread wheat quality: joint use of the phenotypic information brought by technological tests and the genetic information brought by HMW and LMW glutenin subunits

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Abstract

Attempts have been made to predict Chopin alveograph or French bread-making tests, using tree-based models and PLS regressions. Data came from three sets of trials, involving 130, 214 and 103 different genotypes, which were described for HMW-GS, LMW-GS and small-scale tests currently used in breeding programs. Segmentation trees and PLS regressions indicated that HMW-GS and LMW-GS were not sufficient to explain alone the variability of bread wheat quality. This could be partly due to “allele × environment” and “locus × locus” interactions. For HMW-GS, Glu-B1 was the predominant locus for alveograph and French bread-baking, and some differences in the alleles hierarchy were demonstrated according to the end-use parameter considered. For LMW-GS, Glu-B3 seemed to be preponderant, with alleles b′, c and g being favourable and allele c′ unfavourable. Joint use of the information brought by glutenin subunits and technological tests did not enable to predict satisfactorily, neither the different parameters of French bread-baking, nor the extensibility L of alveograph. Only the prediction of the strength W proved reliable, and robust PLS equations were proposed for this alveograph parameter. These prediction equations could be of interest to select for high values of W in the mid generations of breeding.

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References

  • Ahmad M, Griffin WB, Sutton KH (2001) Assessment of genetic variability in glutenin and gliadin quantified by size exclusion (SE) HPLC as a measure of bread making quality in wheat. J Genet Breed 55:75–82

    CAS  Google Scholar 

  • American Association of Cereal Chemists (1995) Approved methods of the AACC. The association, St Paul

    Google Scholar 

  • Axford DWE, McDermott EE, Redman DG (1978) Small-scale tests for bread-meaking quality milling. Feed Fert 66(5):18–20

    Google Scholar 

  • Beasley HL, Uthayakumaran S, Stoddart FL, Partridge SJ, Daqiq L, Chong P, Békés F (2002) Synergistic and additive effects of three high molecular weight glutenin subunit loci. II. Effects on wheat dough functionality and end-use quality. Cereal Chem 79(2):301–307

    Article  CAS  Google Scholar 

  • Branlard G, Dardevet M (1985a) Diversity of grain protein and bread wheat quality. I. Correlation between gliadin bands and flour quality characteristics. J Cereal Sci 3:329–343

    Article  CAS  Google Scholar 

  • Branlard G, Dardevet M (1985b) Diversity of grain protein and bread wheat quality. II. Correlation between high molecular weight subunits of glutenin and flour quality characteristics. J Cereal Sci 3:345–354

    Article  CAS  Google Scholar 

  • Branlard G, Rousset M, Loisel W, Autran J-C (1991) Comparison of 46 technological parameters used in breeding for bread wheat quality evaluation. J Genet Breed 45:263–280

    Google Scholar 

  • Branlard G, Pierre J, Rousset M (1992) Selection indices for quality evaluation in wheat breeding. Theor Appl Genet 84:57–64

    Article  Google Scholar 

  • Branlard G, Dardevet M, Saccomano R, Lagoutte F, Gourdon J (2001) Genetic diversity of wheat storage proteins and bread wheat quality. Euphytica 119:59–67

    Article  CAS  Google Scholar 

  • Branlard G, Dardevet M, Amiour N, Igrejas G (2003) Allelic diversity of HMW and LMW glutenin subunits and omega-gliadins in French bread wheat (Triticum aestivum L.). Genet Resour Crop Evol 50:669–679

    Article  CAS  Google Scholar 

  • Brunori A, Galterio G, Zannettino C, Pogna NE (1989) Bread-making quality indices in Triticum aestivum progenies implications in breeding for better bread wheat. Plant Breed 102:222–231

    Article  Google Scholar 

  • Campbell WP, Wrigley CW, Cressey PJ, Slack CR (1987) Statistical correlations between quality attributes and grain-protein composition for 71 hexaploid wheats used as breeding parents. Cereal Chem 64(4):293–299

    CAS  Google Scholar 

  • Carillo JM, Rousset M, Qualset CO, Kasarda DD (1990) Use of recombinant inbred lines of wheat for study of associations of high-molecular-weight glutenin subunit alleles to quantitative traits 1 grain yield and quality prediction tests. Theor Appl Genet 79:321–330

    Article  Google Scholar 

  • Chambers JM, Hastie TJ (1992) Statistical models in S. Wadsworth & Brooks/Cole Advanced Books & Software, Pacific Grove, pp 377–419

    Google Scholar 

  • Chung OK, Ohm JB, Caley MS, Seabourn BW (2001) Prediction of baking characteristics of hard winter wheat flours using computer-analysed mixograph parameters. Cereal Chem 78(4):493–497

    Article  CAS  Google Scholar 

  • Cornish GB, Békés F, Eagles HA, Payne PI (2006) Prediction of dough properties for bread wheats. In: Wrigley C, Békés F, Bushuk W (eds) Gliadin and Glutenin. The unique balance of wheat quality. AACC International, St Paul, pp 243–280

    Google Scholar 

  • Dobraszczyk BJ, Salmanowicz BP, Lugowska B, Chelkowski J (2005) Rapid quality assessment of wheat cultivars registered in Poland using the 2-g mixograph and multivariate statistical analysis. Cereal Chem 82(2):182–186

    Article  CAS  Google Scholar 

  • Eagles HA, Cane K, Eastwood RF, Hollamby GJ, Kuchel H, Martin PJ, Cornish GB (2006) Contributions of glutenin and puroindoline genes to grain quality traits in southern Australian wheat breeding programs. Aust J Agric Res 57:179–186

    Article  CAS  Google Scholar 

  • Gröger S, Oberforster M, Werteker M, Grausgruber H, Lelley T (1997) HMW glutenin subunit composition and bread-making quality of Austrian grown wheats. Cereal Res Commun 25(4):955–962

    Google Scholar 

  • Gupta RB, Békés F, Wrigley CW (1991) Prediction of physical dough properties from glutenin subunit composition in bread wheats: correlation studies. Cereal Chem 68(4):328–333

    CAS  Google Scholar 

  • Gupta RB, Khan K, Mac Ritchie F (1993) Biochemical basis of flour properties in bread wheats. I. Effects of variation in the quantity and size distribution of polymeric protein. J Cereal Sci 18:23–41

    Article  CAS  Google Scholar 

  • Gupta RB, Paul JG, Cornish GB, Palmer GA, Békés F, Rathjen AJ (1994) Allelic variation at glutenin subunit and gliadin loci, Glu-1, Glu-3 and Gli-1, of common wheats. I. Its additive and interaction effects on dough properties. J Cereal Sci 19:9–17

    Article  CAS  Google Scholar 

  • Gupta RB, Masci S, Lafiandra D, Bariana H, Mac Ritchie F (1996) Accumulation of protein subunits and their polymers in developing grains of hexaploid wheats. J Exp Bot 47:1377–1385

    Article  CAS  Google Scholar 

  • Hamer RJ, Weegels PL, Marseille JP (1992) Prediction of the breadmaking quality of wheat: the use of HMW glutenin-A subunit-based quality scoring systems. J Cereal Sci 15:91–102

    Article  CAS  Google Scholar 

  • Jackson EA, Morel MH, Sontag-Strohm T, Branlard G, Metakovsky EV, Redaelli R (1996) Proposal for combining the classification systems of alleles of Gli-1 and Glu3 loci in bread wheat (Triticum aestivum L.). J Genet Breed 50:321–336

    CAS  Google Scholar 

  • Khelifi D, Branlard G (1992) The effects of HMW and LMW subunits of glutenin and of gliadins on the technological quality of progeny from four crosses between poor breadmaking quality and strong wheat cultivars. J Cereal Sci 16:195–209

    Article  CAS  Google Scholar 

  • Kolster P, van Eeuwijk FA, van Gelder WMJ (1991) Additive and epistatic effects of allelic variation at the high molecular weight glutenin subunit loci in determining the bread-making quality of breeding lines of wheat. Euphytica 55:277–285

    Article  Google Scholar 

  • Kuchel H, Langridge P, Mosionek L, Williams K, Jefferies SP (2006) The genetic control of milling yield, dough rheology and baking quality of wheat. Theor Appl Genet 112:1487–1495

    Article  CAS  PubMed  Google Scholar 

  • Law CN, Bhandari DG, Salmon SE, Greenwell PW, Foot IM, Cauvain SP, Sayers EJ, Worland AJ (2005) Novel genes on chromosome 3A influencing breadmaking quality in wheat, including a new gene for loaf volume, Lvl1. Theor Appl Genet 41:317–326

    CAS  Google Scholar 

  • Liu L, He Z, Yan J, Zhang Y, Xia X, Peña RJ (2005) Allelic variation at the Glu1 and Glu3 loci, presence of the 1B1R translocation, and their effects on mixographic properties in Chinese bread wheats. Euphytica 142:197–204

    Article  CAS  Google Scholar 

  • Luo C, Griffin WB, Branlard G, McNeil DL (2001) Comparison of low and high molecular-weight wheat glutenin allele effects on flour quality. Theor Appl Genet 102:1088–1098

    Article  CAS  Google Scholar 

  • Mac Ritchie F, du Cros DL, Wrigley CW (1990) Flour polypeptides related to wheat quality. Adv Cereal Sci Technol X:79–145

    Google Scholar 

  • Magnus EM, Brathen E, Sahlstrom S, Vogt G, Faergestad EM (2000) Effects of flour composition, physical dough properties and baking process on hearth loaf properties studied by multivariate statistical methods. J Cereal Sci 32:199–212

    Article  CAS  Google Scholar 

  • Martre P, Porter JR, Jamieson PD, Triboï E (2003) Modeling grain nitrogen accumulation and protein composition to understand the sink/source regulations of nitrogen remobilization for wheat. Plant Physiol 133:1959–1967

    Article  CAS  PubMed  Google Scholar 

  • Ng PKW, Bushuk W (1988) Statistical relationships between high molecular weight subunits of glutenin and breadmaking quality of canadian-grown wheats. Cereal Chem 65(5):408–413

    CAS  Google Scholar 

  • Nieto-Taladriz M-T, Perretant M-R, Rousset M (1994) Effect of gliadins and HMW and LMW subunits of glutenin on dough properties in the F6 recombinant inbred lines from a bread wheat cross. Theor Appl Genet 88:81–88

    Article  CAS  Google Scholar 

  • Oury F-X, Rousset M, Bérard P, Pluchard P, Doussinault G (1995) Une étude du rôle des gluténines de haut poids moléculaire chez les blés hybrides: effet sur la qualité en situation d’hétérozygotie. Can J Plant Sci 75:633–642

    Google Scholar 

  • Oury F-X, Chiron H, Pichon M, Giraud A, Bérard P, Faye A, Brancourt-Hulmel M, Rousset M (1999) Reliability of indirect selection in determining the quality of bread wheat for French bread-baking. Agronomie 19:621–634

    Article  Google Scholar 

  • Payne PI, Lawrence GJ (1983) Catalogue of alleles for the complex loci GluA1, GluB1 and GluD1 which coded for high-molecular-weight subunits of glutenin in hexaploid wheat. Cereal Res Commun 11:29–35

    Google Scholar 

  • Payne PI, Holt LM, Krattiger AF, Carrillo JM (1988) Relationships between seed quality characteristics and HMW glutenin subunit composition determined using wheats grown in Spain. J Cereal Sci 7:229–235

    Article  CAS  Google Scholar 

  • Pena E, Bernardo A, Soler C, Jouve N (2005) Relationship between common wheat (Triticum aestivum L.) gluten proteins and dough rheological properties. Euphytica 143:169–177

    Article  CAS  Google Scholar 

  • Rogers WJ, Payne PI, Harinder K (1989) The HMW glutenin subunit and gliadin compositions of German-grown wheat varieties and their relationship with bread-making quality. Plant Breed 103:89–100

    Article  CAS  Google Scholar 

  • Rousset M, Carillo J-M, Qualset CO, Kasarda DD (1992) Use of recombinant inbred lines of wheat for study of associations of high-molecular-weight glutenin subunit alleles to quantitative traits 2 milling and bread-baking quality. Theor Appl Genet 83:403–412

    Article  Google Scholar 

  • Singh NK, Shepherd KW, Cornish GB (1991) A simplified SDS-PAGE procedure for separating LMW subunits of glutenin. J Cereal Sci 14:203–208

    Google Scholar 

  • Southan M, Mac Ritchie F (1999) Molecular weight distribution of wheat proteins. Cereal Chem 76(6):827–836

    Article  CAS  Google Scholar 

  • Tenenhaus M (1998) La régression PLS: théorie et pratique. Editions technip, Paris

    Google Scholar 

  • Tenenhaus M, Gauchi J-P, Ménardo C (1995) Régression PLS et applications. Rev Statistique Appliquée XLIII(1):7–63

    Google Scholar 

  • Trethowan RM, Peña RJ, van Ginkel M (2001) The effect of indirect tests for grain quality on the grain yield and industrial quality of bread wheat. Plant Breed 120:509–512

    Article  Google Scholar 

  • Triboï E, Martre P, Triboï-Blondel A-M (2003) Environmentally-induced changes in protein composition in developing grains of wheat are related to changes in total protein content. J Exp Bot 54:1731–1742

    Article  PubMed  Google Scholar 

  • Weegels PL, Hamer RJ, Schofield D (1996) Critical review: functional properties of wheat glutenin. J Cereal Sci 23:1–18

    Article  CAS  Google Scholar 

  • Wikström K, Bohlin L (1996) Multivariate analysis as a tool to predict bread volume from mixograph parameters. Cereal Chem 73(6):686–690

    Google Scholar 

  • Wu J, Aluko RE, Corke H (2006) Partial least-squares regression study of the effects of wheat flour composition, protein and starch quality characteristics on oil content of steamed-and-fried instant noodles. J Cereal Sci 44:117–126

    Article  CAS  Google Scholar 

  • Zeleny L (1947) A simple sedimentation test for estimating the bread-baking and gluten qualities of wheat flour. Cereal Chem 24:465–475

    CAS  Google Scholar 

Download references

Acknowledgments

This work was financially supported by FSOV (“Fonds de Soutien à l’Obtention Végétale”). We are grateful to Josiane Gourdon, Fabrice Lagoutte and René Saccomano for their excellent technical assistance.

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Authors and Affiliations

  1. INRA, UMR 1095, Domaine de Crouelle, 234 avenue du Brézet, 63039, Clermont-Ferrand Cedex 2, France

    François-Xavier Oury, Annie Faye, Gilles Charmet & Gérard Branlard

  2. INRA, URPOI, rue de la Géraudière, BP71627, 44316, Nantes Cedex 03, France

    Hubert Chiron

  3. INRA, Station de Génétique Végétale, Ferme du Moulon, 91190, Gif-sur-Yvette, France

    Olivier Gardet & Michel Rousset

  4. INRA, Station d’Amélioration des Plantes, Domaine d’Epoisses, 21100, Bretenières, Genlis, France

    Alex Giraud

  5. INRA, Station d’Amélioration des Plantes, Domaine de Brunehaut, 80200, Estrées-Mons, France

    Emmanuel Heumez

  6. INRA, APBV, BP35327, 35653, Le Rheu Cedex, France

    Bernard Rolland & Maxime Trottet

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  1. François-Xavier Oury
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  2. Hubert Chiron
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Correspondence to François-Xavier Oury.

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Oury, FX., Chiron, H., Faye, A. et al. The prediction of bread wheat quality: joint use of the phenotypic information brought by technological tests and the genetic information brought by HMW and LMW glutenin subunits. Euphytica 171, 87–109 (2010). https://doi.org/10.1007/s10681-009-9997-1

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