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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Solvent retention capacities as indirect selection criteria for sugar snap cookie quality in Chinese soft wheats

Yong Zhang A , Qijun Zhang A , Zhonghu He A B D , Yan Zhang A and Guoyou Ye C
+ Author Affiliations
- Author Affiliations

A Institute of Crop Science, National Wheat Improvement Center/The National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agriculture Sciences (CAAS), 12 Zhongguancun South Street, Beijing 100081, China.

B CIMMYT-China Office, c/o CAAS, 12 Zhongguancun South Street, Beijing 100081, China.

C The Department of Primary Industries, Victoria, and Molecular Plant Breeding Cooperative Research Centre, 1 Park Drive, Bundoora, Vic. 3083, Australia.

D Corresponding author. Email: zhhe@public3.bta.net.cn

Australian Journal of Agricultural Research 59(10) 911-917 https://doi.org/10.1071/AR07442
Submitted: 3 December 2007  Accepted: 7 July 2008   Published: 18 September 2008

Abstract

Development of soft wheat cultivars with high sugar snap cookie quality is one of the most important breeding objectives in south China. Lack of an efficient criterion for selection for soft wheat quality is the main reason slowing genetic progress. Seventeen Chinese soft wheat genotypes grown at three locations in 2000–01 and 2001–02 wheat seasons in the Southern Winter Wheat Region, were used to investigate the potential of solvent retention capacity (SRC) parameters as indirect selection criteria for improving cookie diameter. All traits investigated displayed medium to high broad-sense heritability. Lactic acid SRC and sucrose SRC had the highest heritability, with the estimate being 0.92 and 0.86 on across-environment genotype mean value, while ranging from 0.93 to 0.99 and from 0.95 to 0.99, respectively, in the six individual environments. Sucrose SRC was highly significantly and negatively correlated with cookie diameter on both phenotypic and genotypic levels, with values of –0.86 (P < 0.001) and –0.91 (P < 0.001) on across-environment genotype performance, and ranging from –0.71 (P < 0.01) to –0.86 (P < 0.001) and from –0.79 (P < 0.001) to –0.93 (P < 0.001), respectively, in the six environments. Sucrose SRC was found to be a good selection criterion for improving cookie diameter. When applying the same intensity, genetic progress on cookie diameter achieved through sucrose SRC selection was as efficient as that for cookie diameter itself on across-environment genotype performance, while slightly less efficient on within-environment genotype performance, with the relative selection efficiency ranging from 0.81 to 0.90. Moreover, indirect selection through sucrose SRC was always more efficient than direct selection under the assumption of equivalent cost, with the relative efficiency of 1.52 based on across-environment selection, and ranged from 1.22 to 1.36 on within-environment selection.

Additional keywords: Triticum aestivum, solvent retention capacity.


Acknowledgments

Financial support was kindly provided by the National Natural Science Foundation of China (30471085), the National Basic Research Program (2002CB111300), and the international collaboration project on wheat improvement from the Ministry of Agriculture of the People’s Republic of China (2006-G2).


References


AACC (2000) ‘Approved methods of the AACC.’ 10th edn (American Association of Cereal Chemists: St Paul, MN)

Becker WA (1984) ‘Manual of quantitative genetics.’ 4th edn (Academic Enterprises: Pullman, WA)

Bettge AD, Morris CF (2000) Relationships among grain hardness, pentosan fractions, and end-use quality of wheat. Cereal Chemistry 77, 241–247.
Crossref | GoogleScholarGoogle Scholar | open url image1

Bettge AD, Morris CF, DeMacon VL, Kidwell KK (2002) Adaptation of AACC method 56-11, solvent retention capacity, for use as an early generation selection tool for cultivar development. Cereal Chemistry 79, 670–674.
Crossref | GoogleScholarGoogle Scholar | open url image1

Bos J , Caligari P (1995) ‘Selection methods in plant breeding.’ 1st edn (Chapman & Hall: UK)

Falconer DS , Mackay TFC (1996) ‘Introduction to quantitative genetics.’ 4th edn (Longman Group Ltd: Essex, UK)

Finney PL, Andrews LC (1986) Revised microtesting for soft wheat quality evaluation. Cereal Chemistry 63, 177–182. open url image1

Gaines CS (2000) Collaborative study of methods for solvent retention capacity profile (AACC Method 56-11). Cereal Foods World 45, 303–306. open url image1

Guttieri MJ, Becker C, Souza E (2004) Application of wheat solvent retention capacities tests within soft wheat breeding populations. Cereal Chemistry 81, 261–266.
Crossref | GoogleScholarGoogle Scholar | open url image1

Guttieri MJ, Bowen D, Gannon D, O’Brien K, Souza E (2001) Solvent retention capacities of irrigated soft white spring wheat flours. Crop Science 41, 1054–1061. open url image1

Guttieri MJ, Souza E (2003) Sources of variation in the solvent retention capacity test of wheat flour. Crop Science 43, 1628–1633. open url image1

He ZH , Rajaram S , Xin ZY , Huang G (Eds) (2001) ‘A history of wheat breeding in China.’ (CIMMYT: Mexico, D.F.)

He ZH, Lin ZJ, Wang LJ, Xiao ZM, Wan FS, Zhuang QS (2002) Classification on Chinese wheat regions based on quality. Scientia Agricultra Sinica [in Chinese] 35, 359–364. open url image1

Holland JB , Nyquist WE , Cervantes-Matinez CT (2003) Estimating and interpreting heritability for plant breeding: an update. In ‘Plant breeding reviews. Vol. 22’. (Ed. J Janick) pp. 9–111. (Wiley: New York)

Martinant JP, Billot A, Bouguennec A, Charmel G, Saulnier L, Branlard G (1999) Genetic and environmental variations in water-extractable arabinoxylans content and flour extract viscosity. Journal of Cereal Science 30, 45–48.
Crossref | GoogleScholarGoogle Scholar | open url image1

Ram S, Dawar V, Singh RP, Shoram J (2005) Application of solvent retention capacity tests for the prediction of mixing properties of wheat flour. Journal of Cereal Science 42, 261–266.
Crossref |
open url image1

Ram S, Singh RP (2004) Solvent retention capacities of Indian wheats and their relationship with biscuit making quality. Cereal Chemistry 81, 128–133.
Crossref | GoogleScholarGoogle Scholar | open url image1

SAS Institute (1997) ‘SAS user’s guide: Statistics.’ (SAS Institute, Inc.: Cary, NC)

Slade L , Levine H (1994) Structure-function relationships of cookie and cracker ingredients. In ‘The science of cookie and cracker production’. (Ed. H Faridi) pp. 23–141. (Chapman & Hall/AVI: New York)

Zhang QJ, Zhang Y, Zhang Y, He ZH, Peña RJ (2007) Effects of solvent retention capacities, pentosan content, and dough rheological properties on sugar snap cookie quality in Chinese soft wheat genotypes. Crop Science 47, 656–664. open url image1