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Standardisation Of Diastatic Power Method For Barley Breeding Programs

Glen Fox1, Sue Logue2, Stefan Harasymow3, Helen Taylor4, Monica Ratcliffe5, Sophie Roumeliotis2, Karyn Onley1, Phillipa Tansing2, Ros Ferguson1, Malcolm Glennie-Holmes4, Andy Inkerman1, Allen Tarr3, Belinda Evans5, Joe Panozzo5, Abdalla Osman1 and Alison Smith4

1Queensland Department of Primary Industry, PO Box 2282 Toowoomba, Qld 4350
2University of Adelaide, Waite Campus, Glen Osmond Road, Adelaide 5064.
3Agriculture Western Australia, Perth Western Australia 6983
4NSW Agriculture, Wagga Wagga, New South Wales 2650
5NRE Victorian Institute of Dryland Agriculture Horsham Victoria 3402

Introduction

Since the early 1990s Australian barley breeding programs have concentrated on selecting and releasing varieties with high diastatic power (DP). These efforts were focused on regaining the lost ground of the export barley and malt markets in Asia, particularly Japan. In a forum on diastatic power at the 1993 6th Australian Barley Technical Symposium, a number of issues were highlighted including diastatic power and starch degrading enzymes, industry methods, industry processing to produce malt with desirable levels of DP and environmental effects on DP (Evans & McLeod, 1993; Fox, Inkerman et al., 1993; Henry, 1993; Allan et al. 1993; Cole, 1993; Arends et al., 1993; Lance et al., 1993). At the same conference, Stuart (1993) reviewed a number of methods used within barley quality laboratories and suggested that methods for measuring starch degrading enzymes be standardised and correlated to industry methods. One of the recommendations of this forum was the need for a rapid, small-scale method for breeding programs that was correlated to the industry method (Oliver, 1994).

Following a national review of Barley Quality Evaluation Laboratories in 1995, it was recommended that the methods used by laboratories for key quality parameters should be standardised (Enright et al., 1995). Further, DP would be the first of these methods to be addressed. Personnel from all Australian Barley Quality Laboratories met to identify key areas of difference in the DP assays used by these laboratories. Concurrently, a trial was designed to test a wide range of variables (Stage 1 trial). Based on the results of this trial, a set of standard parameters were identified. Thereafter, a second trial (Stage 2 trial) was conducted to assess the reproducibility of this standard method between laboratories.

Industry methods for the determination of DP use large amounts of malt and are time consuming for the application in breeding programs. Consequently, small-scale procedures have been developed for the rapid extraction, assay and determination of reducing sugars (Henry, 1984; Lance et al., 1989; Inkerman et al., 1993) with the Henry (1984) method being the most widely adopted to date by Industry (ASBC, 1990; 1991).

This paper presents the results of this study and discusses the implications for barley quality evaluation in Australia.

Material And Methods

Stage 1

The aim of this part of the study was to test a number of variables to establish which were most suitable for incorporation into a standard method. The variables tested included:

  • malt particle size
  • extractant type
  • extraction time
  • starch substrate

Malt Samples

Three commercially produced malt samples of Australian barley varieties were obtained, representing low (L), medium (M), and high (H) levels of DP as determined by the industry methods.

Reagents

All reagents used were analytical grade.

  • Sodium acetate buffer pH 4.6: 20 mM glacial acetic acid and 0.5 M sodium acetate trihydrate.
  • Buffered starch solution pH 4.6: A 2% soluble starch solution to which 10mL sodium acetate buffer solution was added. The pH was adjusted to 4.6. The starch solution was prepared fresh each day.
  • Extracting solutions: (i) 0.5% sodium chloride, (ii) 6mM ammonium hydroxide
  • Stopping solution: 0.5 M sodium hydroxide.
  • Alkaline dilutent: 0.5 M trisodium citrate, 0.1 M calcium chloride and 0.5 M sodium hydroxide.
  • PAHBAH solution: p-Hydroxybenzoic acid hydazide (PAHBAH) was dissolved at a rate of 5 g/L in alkaline dilutent. PAHBAH solution was prepared each day.
  • Maltose Standard: 0.1%, stored at 4oC between use.

Extraction

Enzyme extraction was carried out on finely milled malt (setting 0.2 mm) as described in EBC method 4.12. Malt (1.000 g) was mix with 10 mL of extractant, dispersed by mixing, and incubated in a water bath for 30 min at 25oC. The samples were mixed at 5 min intervals during extraction and then centrifuged for 5 min at 2000g at the end of extraction.

Assay

An aliquot (5 mL) of buffered starch solution was dispensed into test tubes and pre-incubated for 5 min at 25 C. An aliquot of the enzyme extract supernatant was added to the starch solution, vortexed to mix thoroughly and incubated at 25 C for exactly 10 min. The reaction was terminated with the addition of 500 μL of stopping reagent. A substrate blank containing 100 μL distilled water and 5 mL buffered starch was included with each batch.

Measurement of reducing sugars.

The reducing sugars were measured using p-hydroxybenzoic acid hydrazide (PAHBAH) as a number of previous researchers have identified the reliability and precision of this method (Lever, 1972; Blakeney & Mutton, 1980; Henry, 1984; Delcour & Verschaeve, 1987; Bajomo & Young, 1990 and Buttimer & Briggs, 1998).

Following starch hydrolysis, 100 μL of the hydrolysate (in duplicate) was added to 5 mL PAHBAH solution in a 20 mL boiling tube and heated in a boiling water bath for exactly 4 min. The contents were rapidly cooled to room temperature. The sample was diluted with 10 mL distilled water, mixed thoroughly and the absorbance read at 415 nm. The maltose standard and a PAHBAH reagent blank were included in each batch.

Statistical Analysis

For Stage 1, the tests were carried out each day for three days. The raw data (absorbances) were used in the analysis. Data were analysed using analysis of variance.

Stage 2

The aim of this part of the study was to test the between-laboratory variability in the standard method identified from the Stage 1 trial.

Malt samples

Ten commercially produced malt samples of Australian barley varieties, including two double blinds samples, were used for Stage 2. The method was carried out each day for three consecutive days.

The reagents and procedure were as for Stage 1, with the extractant being sodium chloride and the substrate being ASBC starch.

Moisture content

Malt moisture was determined in duplicate by EBC method 3.1.

Statistical Analysis

Stage 2 statistical analysis used diastatic power results Units per gram (on a dry basis). Each laboratory used a different randomisation order each day. Samples were analysed daily for three days and individual DP values were used in the analysis. Data was analysed to calculate means, standard deviation and standard error.

Results and discussion

Stage 1 Establishing variables in "new" method

The results for the first stage showed that there were up to six factor interactions (Table Ia). The factor which contributed the most variance, after the individual laboratory (Table Ib), was the starch substrate. The ASBC starch providing the most consistent results, while the Merck starch provided consistently higher blank values. The longer extraction time (30 min) produced the lowest variance which supports previous reports (Inkerman et al. 1993; Fry & Inkerman, 1997). In the case of extractant, there was no significant difference (p<0.05). However, for convenience of conducting additional enzyme assays such, eg. sodium chloride was the preferred extractant (Fry & Inkerman, 1997). For particle size, the Miag mill (0.2mm) gave least variance. (Results for the comparison of extraction times, extractant types, starch substrates and particle sizes are not presented due to limited printing area).

Stage 2 Establishing level of error in new method

The second stage established the level of error for then new method through a validation study. A summary of statistical results for the new method is presented in Table II. The standard deviation for this method was 37 U/g for the sample range 317 - 762 U/g. This is equivalent to 8% with the mean of the samples tested at 493 U/g. The means for each sample across laboratories are shown in Table II. Laboratories one, two and three ranked the samples in the same order. Laboratories four and five had some minor differences in the ranking of samples in the mid range. However, all laboratories ranked the highest and lowest samples in the same order.

Table 1a. Lab*treatment interactions in order of significance

 

Table 1b. Within Lab variance

Lab*sample

**

 

lab

<0.0001*

Lab*starch

**

 

starch

<0.0001*

Lab*grinder

*

 

lab*starch

<0.001*

Lab*time

*

 

time*grinder

<0.01*

Lab*extractant

*

 

lab*time

<0.01*

Lab*grind*sample

*

 

* Level of significance

Lab*grind*time

*

     

Lab*sample*time

*

     
         

Table 2. Summary of DP results from each laboratory

 

Laboratory

   

Sample

1

2

3

4

5

Mean

SD

1

464

459

546

507

484

492

40

2

708

695

762

710

744

723

43

3

399

387

455

405

393

408

33

4

450

440

533

497

504

485

36

5

333

317

401

339

337

346

40

6

406

400

450

394

391

408

30

7

374

365

410

361

356

373

27

8

414

405

507

456

426

441

44

9

672

654

701

673

650

670

38

10

500

493

566

525

435

524

35

The relationship between the new method and the EBC method will be evaluated in the near future. However, an equation to express the DP results from the new method in grams maltose equivalents per 30 min per 100 g of malt is available. This will allow laboratories to convert to the industry DP unit. This follows suggestions from the 1993 DP forum (Stuart, 1993; Oliver, 1994) and the GRDC review of barley quality laboratories (Enright et al., 1995).

Conclusion

The results of this study suggest that the application of the new method within Australian barley quality laboratories provides reproducible data for DP. This will ensure that cultivars are ranked similarly between the different laboratories. Additionally, with an equation to convert our data to industry units, both breeders and industry can assess data in terms of industry requirements.

Acknowledgments

Ms Deirdre Davis, GRDC Program Consultant, is thanked for the continuing support to ensure the objectives of this study were met. Mr Gareth Hughes, Adelaide Malting Company, is thanked for the supply of malt samples.

References

1. Allan, G.R., Stuart, I.M., Powell, G., Cole, N.W., Vertigan, W., Katayama, Y., McStay, C., Ryan, M., Landau, J., & Tempone, M. (1993) Proceedings of the 6th Australian Barley Technical Symposium Launceston, 143.

2. American Society of Brewing Chemists (1990) Journal of the American Society of Brewing Chemists, 48, 143.

3. American Society of Brewing Chemists (1990) Journal of the American Society of Brewing Chemists, 49, 181.

4. Arends. AM, Fox, GP, Henry, RJ, Marschke, RJ & Symons, MH (1995) Journal of Cereal Science, 21, 63.

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6. Bajomo, MF & Young, TW (1990) Journal of the Institute of Brewing, 86, 373.

7. Blakeney, A.B. & Mutton, L.L. (1980) Journal of Science of Food and Agriculture, 31, 889.

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13. Evans, D.E. & MacLeod, L.C. (1993) Proceedings of the 6th Australian Barley Technical Symposium Launceston, 129.

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15. Fry, K.M. & Inkerman P.A. (1997) Queensland Department of Primary Industries Internal report.

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19. Inkerman, P.A., Fox, G.P., Fry, K.M., & Monkhouse, K., (1993) Proceedings of the 6th Australian Barley Technical Symposium Launceston, 137.

20. Inkerman, P.A., Fox G.P., Hamilton, S., de Jersey, J. Wynter, C. and Henry R.J., (1993) Proceedings of the 6th Australian Barley Technical Symposium Launceston, 163.

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22. Lever, M. (1972) Analytical Biochemistry, 47, 273.

23. Oliver, J. (1994) RACI Cereal Chemistry Division Handbook 45th Cereal Chemistry Conference Ballarat.

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25. Symons. M.H., Henry, R.J., Arends, A. & Marschke, R.J. (1993) Proceedings of the 6th Australian Barley Technical Symposium Launceston, 161.

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