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Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Quality potential of synthetic-derived commercial wheat cultivars in south-western China

Y. L. Tang A , C. S. Li A , W. Y. Yang A , Y. Q. Wu B , X. L. Wu A E , C. Wu , X. L. Ma A , S. Z. Li A and G. M. Rosewarne C D
+ Author Affiliations
- Author Affiliations

A Crop Research Institute of Sichuan Academy of Agricultural Sciences, No. 4 Shizishan Road, Jinjiang District, 610066, Chengdu, China.

B Maize Research Institute of Sichuan Agricultural University, No. 211 Huiming Road, Wenjiang District, 611130, Chengdu, China.

C CIMMYT International Sichuan Office of China, 610 066, Chengdu, China.

D Department of Environment and Primary Industries, 110 Natimuk Road, Horsham, Vic. 3400, Australia.

E Corresponding author. Email: wuxiaolicjq@126.com

Crop and Pasture Science 67(6) 583-593 https://doi.org/10.1071/CP15285
Submitted: 31 August 2015  Accepted: 16 December 2015   Published: 28 June 2016

Abstract

Multi-environment trials were conducted to investigate the quality potential of synthetic-derived cultivars (SDCs) and non-synthetic-derived cultivars (NSCs) in south-western China. The environmental effect was greater than genotypic for most protein quantity and quality parameters. The genotype effect was greater for falling number and the parameters from the rapid visco analyser (RVA). In terms of group means, grain protein content, wet gluten content, falling number, and RVA parameters were all significantly lower in SDCs than NSCs. No differences in the parameters reflecting dough strength (Zeleny sedimentation volume and farinograph parameters) were found between the two groups. Significant differences existed within each group, and the degree of variation was especially great in SDCs, among which Chuanmai 104 performed well in various quality parameters. Germination index at physiological maturity varied greatly among cultivars, with the lowest being Chuanmai 104, and the SDCs significantly lower than the NSCs. Although delayed harvest resulted in a significant reduction in falling number, partial SDCs such as Chuanmai 104 and Chuanmai 42 expressed relatively small reductions. In summary, SDCs exhibit a higher degree of variation in quality parameters; these findings indicate their large potential for breeding high-quality cultivars in south-western China.

Additional keywords: commercial cultivar, quality potential, Southwest China, synthetic wheat.


References

Bhatt GM, Derera NF (1975) Genotype × environment interactions for, heritabilities of, and correlations among quality traits in wheat. Euphytica 24, 597–604.
Genotype × environment interactions for, heritabilities of, and correlations among quality traits in wheat.Crossref | GoogleScholarGoogle Scholar |

Biddulph TB, Plummer JA, Setter TL, Mares DJ (2008) Seasonal conditions influence dormancy and preharvest sprouting tolerance of wheat (Triticum aestivum L.) in the field. Field Crops Research 107, 116–128.
Seasonal conditions influence dormancy and preharvest sprouting tolerance of wheat (Triticum aestivum L.) in the field.Crossref | GoogleScholarGoogle Scholar |

Cooper JK, Amir M, Ibrahim H, Rudda J, Haysa D, Mallaa S, Bakera J (2013) Increasing hard winter wheat yield potential via synthetic hexaploid wheat: II. Heritability and combining ability of yield and its components. Crop Science 53, 67–73.
Increasing hard winter wheat yield potential via synthetic hexaploid wheat: II. Heritability and combining ability of yield and its components.Crossref | GoogleScholarGoogle Scholar |

Dreccer MF, Borgognone MG, Ogbonnaya FC, Trethowan RM, Winter B (2007) CIMMYT-selected derived synthetic bread wheats for rainfed environments: Yield evaluation in Mexico and Australia. Field Crops Research 100, 218–228.
CIMMYT-selected derived synthetic bread wheats for rainfed environments: Yield evaluation in Mexico and Australia.Crossref | GoogleScholarGoogle Scholar |

Frutos E, Galindo MP, Leiva V (2014) An interactive biplot implementation in R for modelling genotype-by-environment interaction. Stochastic Environmental Research and Risk Assessment 28, 1629–1641.
An interactive biplot implementation in R for modelling genotype-by-environment interaction.Crossref | GoogleScholarGoogle Scholar |

Gedye KR, Morris CF, Bettge AD (2004) Determination and evaluation of the sequence and textural effects of the puroindoline a and puroindoline b genes in a population of synthetic hexaploid wheat. Theoretical and Applied Genetics 109, 1597–1603.
Determination and evaluation of the sequence and textural effects of the puroindoline a and puroindoline b genes in a population of synthetic hexaploid wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXps1Ons7k%3D&md5=da00a3cb29aa4802df7bbdd571ba398bCAS | 15448897PubMed |

Hristov N, Mladenov N, Djuric V, Kondic-Spika A, Marjanovic-Jeromela A, Simic D (2010) Genotype by environment interactions in wheat quality breeding programs in southeast Europe. Euphytica 174, 315–324.
Genotype by environment interactions in wheat quality breeding programs in southeast Europe.Crossref | GoogleScholarGoogle Scholar |

Imtiaz M, Ogbonnaya FC, Oman J, van Ginkel M (2008) Characterization of quantitative trait loci controlling genetic variation for preharvest sprouting in synthetic backcross-derived wheat lines. Genetics 178, 1725–1736.
Characterization of quantitative trait loci controlling genetic variation for preharvest sprouting in synthetic backcross-derived wheat lines.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXltFagsrw%3D&md5=0b1f73253881cc51e77d70dafab5781dCAS | 18245824PubMed |

Konik CM, Mikkelsen LM, Moss R, Gore PJ (1994) Relationships between physical starch properties and yellow alkaline noodle quality. Stärke 46, 292–299.
Relationships between physical starch properties and yellow alkaline noodle quality.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2cXlsFKhsrw%3D&md5=7dfb994844218d22949488102062409fCAS |

Konik-Rose CM, Rahman S, Appels R, Moss R, McMaster G, Marshall DR, Stoddard FL (2009) Starch characterisation and variability in GBSS loci of synthetic hexaploid wheats and their durum and Aegilops tauschii parents. Euphytica 167, 203–216.
Starch characterisation and variability in GBSS loci of synthetic hexaploid wheats and their durum and Aegilops tauschii parents.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXjvFejsLg%3D&md5=ad8c59a1e38d64955e2262823292d627CAS |

Kunert A, Naz AA, Dedeck O, Pillen K, Léon J (2007) AB-QTL analysis in winter wheat: I. Synthetic hexaploid wheat (T. turgidum ssp. dicoccoides × T. tauschii) as a source of favourable alleles for milling and baking quality traits. Theoretical and Applied Genetics 115, 683–695.
AB-QTL analysis in winter wheat: I. Synthetic hexaploid wheat (T. turgidum ssp. dicoccoides × T. tauschii) as a source of favourable alleles for milling and baking quality traits.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXpsFWqsLc%3D&md5=8a4be417cedb5e00128b5e4ab9a27055CAS | 17634917PubMed |

Lage J, Skovmand B, Peña RJ, Andersen SB (2006) Grain quality of emmer wheat derived synthetic hexaploid wheats. Genetic Resources and Crop Evolution 53, 955–962.
Grain quality of emmer wheat derived synthetic hexaploid wheats.Crossref | GoogleScholarGoogle Scholar |

Li W (2003) Genetic evaluation of new wheat variety Chuannong16. Master of Agriculture, Sichuan Agricultural University, Ya’an, China.

Li YL, Zhou RH, Wang J, Liao XZ, Branlard G, Jia JZ (2012) Novel and favorable QTL allele clusters for end-use quality revealed by introgression lines derived from synthetic wheat. Molecular Breeding 29, 627–643.
Novel and favorable QTL allele clusters for end-use quality revealed by introgression lines derived from synthetic wheat.Crossref | GoogleScholarGoogle Scholar |

Li J, Wan HS, Yang WY (2014a) Synthetic hexaploid wheat enhances variation and adaptive evolution of bread wheat in breeding processes. Journal of Systematics and Evolution 52, 735–742.
Synthetic hexaploid wheat enhances variation and adaptive evolution of bread wheat in breeding processes.Crossref | GoogleScholarGoogle Scholar |

Li SZ, Zheng JM, Wu L, Li J, Pu ZJ, Zhu HZ (2014b) Identification of low and high molecular weight gluten genes and 1B/1R translocation in Sichuan wheat cultivars with molecular markers. Journal of Triticeae Crops 34, 1–8.

Liu JJ, He ZH, Zhao ZD, Liu AF, Song JM, Pena RJ (2002) Investigation on relationship between wheat quality traits and quality parameters of dry white Chinese noodles. Acta Agronomica Sinica 28, 738–742.

Liu JJ, He ZH, Yang J, Xu ZH, Liu AF, Zhao ZD (2003) Variation of starch properties in wheat cultivars and their relationship with dry white Chinese noodle quality. Scientia Agricultura Sinica 36, 7–12.

Liu L, Zhou Y, Liu JJ, He ZH, Yang J (2004) Effect of allelic variation at the Glu-1 and Glu-3 Loci and presence of 1BL/1RS translocation on pan bread and dry white Chinese noodle quality. Scientia Agricultura Sinica 37, 1265–1273.

Morris CF, Shackley BJ, King GE, Kidwell KK (1997) Genotypic and environmental variation for flour swelling volume in wheat. Cereal Chemistry 74, 16–21.
Genotypic and environmental variation for flour swelling volume in wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2sXitlCnsrk%3D&md5=b05bef8daa0b7a29c2fe74341c94c085CAS |

Mrva K, Cheong J, Yu B, Law HY, Mares D (2009) Late maturity α-amylase in synthetic hexaploid wheat. Euphytica 168, 403–411.
Late maturity α-amylase in synthetic hexaploid wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXotVGrtro%3D&md5=c83716b3cc04a27c7f707c5e7a2e1682CAS |

Mu PY, Liu L, Chen F, Xia XC, Zhang Y, Wang DS, He ZH (2008) Effects of HMW and LMW glutenin subunits from synthetic hexaploid wheat on gluten quality parameters of derivative lines. Journal of Triticeae Crops 28, 607–612.

Nelson JC, Andreescu C, Breseghello F, Finney PL, Gualberto DG, Bergman CJ, Peña RJ, Perretant MR, Leroy P, Qualset CO, Sorrells ME (2006) Quantitative trait locus analysis of wheat quality traits. Euphytica 149, 145–159.
Quantitative trait locus analysis of wheat quality traits.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XmsVWrurY%3D&md5=a49734597f0789ceb7804fbd96cbffcbCAS |

O’Brien L, Ronalds JA (1984) Yield and quality interrelationships amongst random F3 lines and their implications for wheat breeding. Australian Journal of Agricultural Research 35, 443–451.
Yield and quality interrelationships amongst random F3 lines and their implications for wheat breeding.Crossref | GoogleScholarGoogle Scholar |

Peña RJ (1996) Combining high yield potential and grain quality in wheat. In ‘Increasing yield potential in wheat: breaking the barriers’. (Eds MP Reynolds et al.) (CIMMYT: Mexico City, D.F.)

Peña RJ, Zarco-Hernandez J, Mujeeb-Kazi A (1995) Glutenin subunit compositions and bread-making quality characteristics of synthetic hexaploid wheats derived from Triticum turgidum × Triticum tauschii (coss.) Schmal crosses. Journal of Cereal Science 21, 15–23.
Glutenin subunit compositions and bread-making quality characteristics of synthetic hexaploid wheats derived from Triticum turgidum × Triticum tauschii (coss.) Schmal crosses.Crossref | GoogleScholarGoogle Scholar |

Simmonds NW (1995) The relation between yield and protein in cereal grain. Journal of the Science of Food and Agriculture 67, 309–315.
The relation between yield and protein in cereal grain.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2MXksV2ltLc%3D&md5=fc755d886954bd9b89f18987d173a375CAS |

Song JM, Dai S, Li HS, Cheng DG, Liu AF, Cao XY, Liu JJ, Zhao ZD (2013) Evolution of agronomic and quality traits of wheat cultivars released in Shandong province recently. Scientia Agricultura Sinica 46, 1114–1126.

Tang YL, Wu YQ, Zhu HZ, Li CS, Li SR, Zheng CG, Yuan JC, Yu XF (2010a) Quality performance and stability of main wheat cultivars in Sichuan Province. Acta Agronomica Sinica 36, 1910–1920.
Quality performance and stability of main wheat cultivars in Sichuan Province.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXit1Snsb0%3D&md5=958b102d29072634d6902f3f66b54e88CAS |

Tang YL, Yang WY, Wu YQ, Li CS, Li J, Zou YC, Chen F, Mares D (2010b) Effect of high-molecular-weight glutenin allele, Glu-B1d, from synthetic hexaploid wheat on wheat quality parameters and dry, white Chinese noodle-making quality. Crop & Pasture Science 61, 310–320.
Effect of high-molecular-weight glutenin allele, Glu-B1d, from synthetic hexaploid wheat on wheat quality parameters and dry, white Chinese noodle-making quality.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXksV2ktL4%3D&md5=21c00da6e76fabe6d46d0b0a79df6e77CAS |

Tang YL, Rosewarne GM, Li CS, Wu XL, Yang WY, Wu C (2015) Physiological factors underpinning grain yield improvements of synthetic-derived wheat in Southwestern China. Crop Science 55, 98–112.
Physiological factors underpinning grain yield improvements of synthetic-derived wheat in Southwestern China.Crossref | GoogleScholarGoogle Scholar |

van Ginkel M, Ogbonnaya F (2007) Novel genetic diversity from synthetic wheats in breeding cultivars for changing production conditions. Field Crops Research 104, 86–94.
Novel genetic diversity from synthetic wheats in breeding cultivars for changing production conditions.Crossref | GoogleScholarGoogle Scholar |

Williams RM, O’Brien L, Eagles HA, Solah VA, Jayasena V (2008) The influences of genotype, environment, and genotype × environment interaction on wheat quality. Australian Journal of Agricultural Research 59, 95–111.
The influences of genotype, environment, and genotype × environment interaction on wheat quality.Crossref | GoogleScholarGoogle Scholar |

Yan W, Kang MS (2003) ‘GGE Biplot analysis: A graphical tool for breeders, geneticists, and agronomists.’ (CRC Press: Boca Raton, FL, USA)

Yan CS, Zhang HP, Hai L, Zhang XY, Hu L, Hu HQ, Pu ZJ, Xiao SH (2006) Differences of preharvest sprouting resistance among Chinese wheat cultivars. Acta Agronomica Sinica 32, 580–587.

Yang WG, Tian ZW, Yin M, Cai J, Jiang D, Ji LY, Dai TB (2014) Variations of grain yield and quality characteristics in winter wheat cultivars from different eras and their responses to nitrogen. Journal of Triticeae Crops 34, 1390–1397.