Wheat quality traits and quality parameters of cooked dry white Chinese
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Euphytica131:147–154,2003.©2003Kluwer Academic Publishers.Printed in the Netherlands.147Wheat quality traits and quality parameters of cooked dry white Chinese noodlesJ.J.Liu1,3,Z.H.He1,2,Z.D.Zhao3,R.J.Peña4&S.Rajaram41Key Laboratory for Crop Genetics and Breeding/National Wheat Improvement Center,Institute of Crop Breeding and Cultivation,Chinese Academy of Agricultural Sciences(CAAS),No12Zhongguancun South Street,Beijing 100081,China;2CIMMYT-China,c/o Chinese Academy of Agricultural Sciences(CAAS),No12Zhongguancun South Street,Beijing100081,China;3Crop Research Institute,Shandong Academy of Agricultural Sciences,Jinan 250100,Shandong Province,China;4CIMMYT,Apdo.Postal6-641,Mexico,D.F.,06600,MexicoReceived19June2001;accepted16August2002Key words:bread wheat,dry white Chinese noodle,extensibility,gluten strength,viscosity,Triticum aestivum SummaryDry white Chinese noodle(DWCN)is widely consumed in China,and genetic improvement of DWCN quality has become a major objective for Chinese wheat breeding programs.One hundred and four bread wheat cultivars and advanced lines,including88from major Chinese wheat-producing areas,were sown in two locations for two years.Their DWCN quality,as evaluated by trained panelists,was studied to determine the relationship between wheat quality parameters and DWCN quality attributes.In general,the cultivars and advanced lines used in this study are characterized with acceptable protein content,but accompanied with weak-medium gluten strength and poor extensibility,and substantial variation is observed for all grain and DWCN quality characters.On average, Australia and USA wheat performed better DWCN quality than Chinese wheats.Simple correlation analysis in-dicated that both grain hardness and Farinograph water absorption were negatively associated with cooked DWCN color,appearance,smoothness,and taste.Flour whiteness and RV A peak viscosity was positively associated with all DWCN parameters,and their correlation coefficients(r)with DWCN score are0.34and0.41,respectively. Their positive contributions to DWCN quality were mostly through improved color,appearance,smoothness, and taste.Farinograph mixing tolerance index(MTI)and softening were negatively associated with all DWCN quality parameters,and their correlation coefficients with DWCN score are–0.50and–0.54,respectively.Further analysis indicated that association between protein content,Zeleny sedimentation value,Farinograph stability,and Extensograph extensibility,and DWCN scorefit quadratic regression model significantly,with R20.12,0.32,0.22, and0.20,respectively.The associations between Zeleny sedimentation value and DWCN’s appearance and taste alsofit quadratic regression model significantly.This suggests that to certain extent,increased protein content and gluten quality contribute positively to DWCN quality,mostly by improving palatability,elasticity,and stickiness. Highflour whiteness,medium protein content,medium to strong gluten strength and good extensibility,and high starch peak viscosity are desirable for DWCN quality.Genetic improvement forflour whiteness,protein quality and starch paste viscosity would increase the DWCN quality of Chinese bread wheat cultivars.IntroductionApproximately40%of Chinese wheat production is used to manufacture various kinds of bread wheatflour noodles(e.g.,fresh,dry white,instant,and frozen). Noodles are widely consumed across the country, but dry white noodles and instant noodles,manufac-tured by mechanized assembly line,have much higher commercial value than other types.In response to market demands for improved noodle quality,genetic improvement of dry white Chinese noodle(DWCN) quality has become an important objective for Chinese wheat breeding programs(He,1999).148Processing method,ingredients,and grain qual-ity traits have been found to influence noodle quality (Oh et al.,1985,1986;Nagao et al.,1977;Moss et al.,1987).Among grain quality traits,grain hardness,flour color,polyphenol oxidase(PPO),protein con-tent,protein quality,and starch pasting properties have been shown to affect one or more noodle quality attrib-utes(Huang&Morrison,1988;Huang&Lin,1990; Azudin et al.,1998;Baik et al.,1994,1995;Crosbie et al.,1992;Morris,1998;Lang et al.,1998;Yao et al.,1999;Yun et al.,1996).DWCN differs from Ja-panese noodles(udon noodles)in color,firmness,and chewiness.Starch quality is the determining factor for Japanese noodle quality(Toyokawa et al.,1989a,b; Crosbie,1991;Crosbie et al.,1992),while protein content and protein quality are essential for DWCN quality(Huang&Morrison,1988;Wang et al.,1995).In general,flour from medium-hard to hard wheat, with low ash content,highflour whiteness,medium protein content,and medium to strong gluten type are considered suitable for making DWCNs(Huang &Morrison,1988;Huang,1996;Wang et al.,1995). Protein quality,as measured by SDS sedimentation value,Farinograph development time and stability, and Extensograph extensibility and maximum resist-ance,is positively associated withfirmness and chew-iness,but negatively associated with the appearance of cooked noodles(Huang&Lin,1990).Yao et al. (1999)observed a strong positive relationship between starch swelling power and peak viscosity and noodle quality score(r=0.80and0.88),and a negative asso-ciation between noodle score and amylose content(r=–0.53).Zhao et al.(1998)reported that total organic matter(TOM),an indicator of durum wheat spaghetti cooking quality,was strongly and negatively related to DWCN quality.Aside from these studies,very little effort has been devoted to determining the influence of wheat grain composition on DWCN quality.Hence,the suitabil-ity of Chinese wheat cultivars for producing DWCN remains largely unexplored,and only a few Chinese cultivars have been tested for noodle quality.This has largely accounted for the slow progress in improving noodle quality in China.Environmental factors may also affect a cultivar’s performance and noodle making quality(Lang et al., 1998),and multilocational testing is needed for noodle quality evaluation.It is generally observed that com-mercial winter wheats from north China perform much better noodle quality than these from south China and spring wheat region.This could be caused both by the cultivars and their growing environments.Imported wheats from Australia,Canada,and USA are blen-ded with local Chinese wheats to produce good quality noodleflour.For this reason,88leading Chinese cul-tivars and advanced lines from major wheat growing areas,along with13Australian and3US wheat cul-tivars which performed good DWCN quality based on the previous study(Huang&Lin,1990),were grown for two years in two locations in Shandong province located in north China with the aim of investigating the association between wheat quality traits and DWCN quality parameters,and examine the suitability of Chinese wheat cultivars for producing DWCN. Materials and methodsWheat samplesOne hundred and four cultivars and advanced lines, including88cultivars from major Chinese wheat-growing areas(representing around60%of China’s wheat area),13from Australia,and3from USA were sown in the1997–98and1998–99seasons at the Crop Research Institute of Shandong Academy of Agricultural Sciences in Jinan,and at Juxian Ag-ricultural Research Institute,Juxian County.These cultivars and lines show wide variation for quality traits.Jinan produces wheat with relative high protein content,while Juxian produces wheat with relative low protein content.Test plots were managed according to local practices.Harvested grain samples were cleaned prior to conditioning and milling,and thousand ker-nel weight,and test weight were recorded by standard method(Schuler et al.,1995).Quality testingUsing a Buhler experimental mill,samples were ground to aflour extraction rate of around70%.Hard, medium hard(mixtures of hard and soft wheat)and soft wheats were tempered to around14%,15%,and 16%moisture content,respectively.Grain hardness andflour protein content(14%MB)were determ-ined by NIR analysis using Instalab610(Newport Scientific Sales and Services Pty Ltd.).For hard-ness,the larger the value,the harder the grain.Flour whiteness was evaluated using a WSB-IV Whiteness Tester according to Chinese standard ZBN33012-89. Flour Falling Number,Zeleny sedimentation test,and Farinograph and Extensograph parameters were per-formed according to AACC methods56-81B,56-63,149 Table1.System for evaluating the quality of cooked dry white Chinese noodlesParameters Full score CriterionColor10Bright,white skin(noodle surface)Appearance10Smooth skin(noodle surface)Palate20Desirable:mediumfirmness;undesirable:hard or softfirmnessElasticity25Elastic and cohesive when chewedStickiness25Desirable:does not stick to teeth when chewedSmoothness5Smooth when eatenTaste5Aromatic tasteTotal score100Good quality>85,85>medium>75,poor quality<7554-21,54-10,respectively.Flour swelling volume (FSV)was tested according to Crosbie(1991,1992), while the Rapid Viscosity Analyzer(RV A-3D super type,Newport Scientific)was used to record starch peak viscosity and breakdown.Noodle preparation and quality evaluationDry white Chinese noodles(DWCN)were prepared as reported by Zhao et al.(1998).The eating qual-ity of cooked noodles was subjectively evaluated by four trained panelists according to Chinese Standard Method SB/T10137-93.Cooked noodle parameters and the criteria used to determine maximum quality are shown in Table1.Statistical analysesVariance analysis is performed for all traits in four environments.Standard deviation,range,and simple correlation coefficients(r)and r2were computed on the basis of genotype’s average from four growing environments.Quadratic regression model was per-formed to examine the association between DWCN score and hardness,protein content,Zeleny sediment-ation value,Farinograph stability,and Extensograph extensibility,and the association between Zeleny sed-imentation value and DWCN’s appearance and taste. LSD multiple comparison was used to examine noodle quality and trait differences among various groups.All computation was completed by using SAS software at CIMMYT(Statistical Analysis System,SAS Institute, Cary,NC).Results and discussionOverall grain quality performanceAnalyses of variance(data not shown)showed that cultivar,location,and year significantly affected all grain-related quality traits except water absorption and extension area,which were not significantly affected by year.However,most traits are basically determined by the genotype,althoughflour protein content,swell-ing volume,and falling number are more influenced by environment or/and genotype and environment inter-action.This is in agreement with previous studies,in which genotype(G),environment(E),and G×E in-teractions were found to have significant influence on quality performance(Zhang et al.,1999).The mean, standard deviation,and range of quality traits for104 cultivars and experimental lines averaged from four growing environments,are presented in Table2.It is observed from Table2,on average,this group of cultivars and lines are characterized with acceptable protein content,but accompanied by weak-medium gluten strength and poor extensibility,and substantial variation is presented for all traits.This is not unex-pected since Chinese wheat breeding programs have focused primarily on improving yield in response to the high demand for wheat grain by a large population during the last50years,and no selection was made on quality performance.Though quality improvement is still in its infancy in China,it has become increasingly important as the wheat milling and baking indus-tries have modernized and begun producing traditional foods and popular new baking products.It is estimated that great progress could be achieved through breed-ing for DWCN quality given the wide variation for quality characteristics present in Chinese cultivars and experimental germplasm(He et al.,1998).150Table2.Mean,standard deviation and range of grain quality traits for104wheatcultivars based on averaged data from two years and two locationsTrait Mean Standard deviation RangeThousand kernel weight(g)39.2 4.4329.5–51.3Test weight(kg/hl)78.717.2373.6–82.3Hardness61.321.2016–111Whiteness74.8 4.6554.8–82.2Flour protein(14%mb)11.30.789.6–13.3Zeleny sedimentation(ml)36.39.5516.9–59.2Water absorption(%)61.4 3.3253.6–71.4Development time(min) 3.7 2.21 1.6–15.3Stability(min) 6.6 5.04 1.9–24.0Mixing tolerance index(B.U.)53.226.83 6.0–139.0Softening(B.U.)95.842.669.0–208.3Extensibility(cm)17.5 2.2111.0–23.9Resistance(B.U.)274.9111.79110.3–751.5Extension area(cm2)84.741.0324.5–233.1Swelling volume(ml) 4.80.34 3.3–5.9RV A viscosity(cp)2777.7335.801596–3425Falling Number(sec.)388.547.84290.0–516.5Table3.Mean,standard deviation and range for cookednoodle quality performance of wheat germplasm basedon averaged data from two years and two locationsParameters Mean Standard RangedeviationColor(10)∗8.40.98 5.0–9.9Appearance(10)8.50.85 5.0–9.9Palate(20)15.5 1.6410.7–19.5Elasticity(25)18.3 2.6311.0–24.5Stickiness(25)19.4 1.8415.0–23.5Smoothness(5) 4.20.40 3.0–5.0Taste(5) 4.30.40 2.5–5.0Total score(100)78.6 6.5956.0–95.0∗Indicates full score.Overall DWCN quality performanceAnalyses of variance(data not shown)showed that ge-netic effects contribute mostly to all DWCN quality parameters,though the effects of location on color, appearance,and total score,and seasonal effects on stickiness were significant at the5%probability level. In general,the environment effect on color and appear-ance is relatively higher than other DWCN parameters.The mean,standard deviation,and range of DWCN quality parameters for104cultivars and experimental lines averaged from four growing environments,areTable4.Dry white Chinese noodle quality(total scores)of wheat germplasm of different originOrigin No.of Mean Standard Rangecultivars deviationAustralia+USA1683.6a 6.4971–95 North China Plain2075.5c 5.0956–86 Yellow and Huai Valley6078.1bc 6.5557–92 South China879.8b 5.3071–86Figures followed by different letters are significantly different (p<0.05).presented in Table3.It is observed that there is wide variation in all noodle quality parameters,most likely reflecting the large variability in grain quality para-meters of test materials.Thus,there is much room for improving the DWCN quality of Chinese wheats. DWCN quality of wheats from different Chineseeco-regional zonesThe test materials used in this study were divided into four groups based on their origin:Australia and USA,North China Plain Winter Wheat Region (Zone I),Yellow and Huai Valley’s Facultative Wheat Region(Zone II),and South China Autumn-sown Spring Wheat Region(Zone III and IV).Total DWCN quality scores for the four groups are presented in151Table4.Wheats from Australia and USA showed bet-ter DWCN quality than any groups of the Chinese wheats,which had been selected primarily based on yield performance.This was not unexpected,since it is well known that Australian and US wheats possess much stronger gluten than Chinese wheats.Weak glu-ten is associated with inferior bread-making quality and poor noodle quality using mechanized methods (He et al.,1998;He,1999).Historically,Australian breeding programs have targeted the Asian market and therefore selected for grain parameters associated with noodle quality.The Southern China and Yellow and Huai Valley groups comprised wheats showing,on average,better DWCN quality than those from the Northern China Plain group,although only eight cultivars from South-ern China were included.In practice,most wheat cultivars grown commercially in the Northern China Plain and Yellow and Huai Valleys possess better DWCN quality than cultivars grown commercially in Southern China(He et al.,1998;He,1999).South-ern China is characterized with high humidity,high temperatures,and pre-harvest sprouting,all known to have negative effects on noodle quality(He et al., 2002).The fact that Southern China cultivars,when sown outside Southern China,showed better quality than Northern China wheats suggests that the former’s inferior quality may be due more to environmental factors in Southern China than to grain compositional factors of local cultivars.DWCN quality classificationAccording to Chinese Standard Method SB/T10137-93,noodle quality scores above85are considered excellent,scores of75-85are acceptable,and scores below75are very poor.The104cultivars and ad-vanced lines were classified into three groups based on average noodle quality scores.Relevant mean quality data for the three DWCN quality groups are presen-ted in Table5.There were significant differences in stability,mixing tolerance index,softening,exten-sion area,and peak viscosity among the three groups. Significant differences were also observed for white-ness,Zeleny sedimentation value,water absorption, extensibility,and resistance between two of the three quality groups.These results showed that protein qual-ity(gluten strength and extensibility),starch viscos-ity,and whiteness are the most important parameters determining DWCN quality.Table 5.Noodle quality groups and their mean wheat quality characteristicsQuality parameter Noodle qualityExcellent Acceptable PoorCultivars(no.)146426 Hardness56.6a60.7a65.1a Whiteness76.4a75.5a72.4b Protein content(%)11.5a11.3a11.2a Zeleny sedimentation(ml)41.4a37.5a30.5b Water absorption(%)59.9a61.2a62.7b Stability(min)10.0a 6.8b 4.2c Mixing tolerance index(B.U.)31a52b68c Softening(B.U.)57a94b122c Extensibility(cm)18.1a17.9ab16.4b Extension area(cm2)112.8a86.4b67.2c Resistance(B.U.)471.4a349.1b311.3b Peak viscosity(cp)3116a2794b2600c Swelling volume(ml) 5.0a 4.9ab 4.7bFigures followed by different letters are significantly different (p<0.05).Fourteen cultivars showed excellent DWCN qual-ity,includingfive from Australia(Eradu,Sunstate, Hartog,Cadoux,Gamenya),one(Agseco7853) from USA,and eight(PH82-2-2,81-1,Lu955159, Wenmai6,Shaanyou225,Lu935031,Yangmai5, and Zhongyou9507)from China.The fact that some cultivars showed excellent DWCN scores(Sunstate, Hartog,Lu955159,Agseco7853,Shaanyou225,and Zhongyou9507)and excellent bread-making quality suggests the possibility of developing multipurpose quality wheats.Breeders in China need to focus more on DWCN quality,since leading cultivars such as Yumai21,Yumai25,Shaan229,Shaan7859,Jimai 30,Lumai14,Lumai21,Jinan16,and Emai11have very poor noodle quality.Relationship between wheat quality traits and DWCN quality parametersData from four environments were averaged to com-pute correlation coefficients between wheat quality traits and noodle parameters as presented in Table6. Grain hardness and water absorption were negatively correlated with color,appearance,smoothness,and taste.Water absorption was also negatively correlated with stickiness.The correlation coefficients between DWCN scores and grain hardness and water absorp-tion were–0.15and–0.31,respectively.However, further analysis(fig.not shown)indicates that cul-152Table 6.Correlation coefficients between wheat quality traits and noodle quality performance 1Trait 2Color Appearance Palate Elasticity Stickiness Smoothness Taste Total score Hardness –0.40∗∗–0.30∗∗0.110.00–0.07–0.31∗∗–0.35∗∗–0.15Whiteness 0.54∗∗0.46∗∗0.010.160.27∗∗0.39∗∗0.55∗∗0.34∗∗Protein content –0.14–0.120.22∗0.28∗∗0.19∗–0.16–0.120.17Zeleny sed.–0.020.010.35∗∗0.56∗∗0.48∗∗0.000.27∗∗0.46∗∗Water absorp.–0.41∗∗–0.34∗∗–0.01–0.19–0.24∗–0.42∗∗–0.48∗∗–0.31∗∗Stability –0.020.010.21∗0.50∗∗0.45∗∗0.010.23∗0.39∗∗M.T.I.–0.06–0.10–0.36∗∗–0.58∗∗–0.48∗∗–0.10–0.28∗∗–0.50∗∗Softening –0.07–0.08–0.38∗∗–0.63∗∗–0.54∗∗–0.11–0.28∗∗–0.54∗∗Extensibility 0.180.26∗∗0.26∗∗0.30∗∗0.39∗∗0.170.170.37∗∗Resistance –0.22∗–0.190.21∗0.51∗∗0.39∗∗–0.120.050.30∗∗Extension area –0.15–0.100.30∗∗0.58∗∗0.46∗∗–0.06–0.110.40∗∗Swelling vol.0.41∗∗0.41∗∗0.100.190.190.37∗∗0.46∗∗0.32∗∗Peak viscosity0.31∗∗0.28∗∗0.130.39∗∗0.34∗∗0.24∗0.50∗∗0.41∗∗1N =104;correlation coefficients were calculated based on averages for two locations/two years.2Zeleny sed.=Zeleny sedimentation;water absorp.=water absorption;M.T.I.=mixing tolerance index;Swelling vol.=swelling volume.∗and ∗∗indicate significance at the 5%and 1%probability levels,respectively.Figure 1.Association between softening and DWCN score.tivars with soft,medium hard,and hard grain kernel except for these with very hard kernel can produce excellent DWCN.Therefore,more investigation is needed to understand the relationship between grain hardness and DWCN quality.Whiteness,peak viscos-ity,and swelling volume showed significant positive correlations with most parameters and their correla-tion coefficients with DWCN scores were 0.34,0.41,and 0.32,respectively.They seem to be important for improving color,appearance,smoothness,and taste.Mixing tolerance index and softening showed signific-ant and negative relationships with textural properties,taste,and total scores,their correlationcoefficientsFigure 2.Association between Zeleny sedimentation value and DWCN score.with DWCN score were –0.50and 0.54,respectively.The association between softening and DWCN score was also presented in Figure 1.The correlation coefficients between protein con-tent,Zeleny sedimentation value,Farinograph stability time,and Extensograph extensibility and extension area,and DWCN scores are 0.17,0.46,0.39,0.37,and 0.40,respectively.They contribute positively to DWCN quality mostly through improving palate,elasticity,and stickiness,but maximum resistance had a slight negative effect on color and appearance.How-ever,further analysis indicated that the association between protein content,Zeleny sedimentation value (Figure 2),Farinograph stability,Extensograph ex-153 Table7.Quadratic regression model between DWCN score and four grain quality traitsGrain trait Equation Max.point R2Protein content Y=–236.5636+54.3821X-2.3336X211.70.12Sedimentation value Y=38.2127+1.9265X-0.0210X245.90.32Stability Y=71.4516+1.6173X-0.0513X215.80.22Extensibility Y=–8.4611+8.8488X-0.2180X220.30.20tensibility,and DWCN scorefit quadratic regression model significantly and detailed results is presen-ted in Table7.This indicates that,to certain extent (11.7%,45.9ml,15.8min,and20.3cm,forflour protein content,stability,and extensibility,respect-ively),the DWCN score improves as these four quality traits increase,and they become negatively associated as wheats perform very hard type quality which is characterized with very hard grain kernel,very high sedimentation value,and very long stability.The as-sociations between Zeleny sedimentation value and DWCN’s appearance and taste also significantlyfit quadratic regression model(data not shown),and this has further confirmed the above conclusion.How-ever,much more work is needed to further investigate the association between wheat quality traits and the DWCN quality since none of the quality parameters accounts for more than40%of the DWCN quality variation.This also suggests that gluten strength and ex-tensibility and viscosity are more crucial than protein content for improving DWCN quality,and over strong quality wheat will have negative effect on DWCN quality.However,Jin et al.(2000)reported that in Australian cultivars,protein content is more import-ant than protein quality for DWCN quality.Chinese wheats in general have weaker gluten than Australian wheats,which may explain this difference.As for Ja-panese udon,quality is basically determined by high viscosity,weak gluten strength,and low protein con-tent(Azudin,1998;Crosbie et al.,1992;Morris, 1998).In conclusion,high whiteness,medium protein content,medium to strong gluten strength,good ex-tensibility,and 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