WET MILLING CHARACTERISTICS OF TEN LINES FROM THE

Slides:

Advertisements

Similar presentations

Effects of Plant Density on Developmental Phenotypes in Maize Michael J. Stein 1 and Jode W. Edwards 2 1 Department of Agronomy, Iowa State University,

Advertisements

Do In and Post-Season Plant-Based Measurements Predict Corn Performance and/ or Residual Soil Nitrate? Patrick J. Forrestal, R. Kratochvil, J.J Meisinger.

Genetic Architecture of Kernel Composition in the Nested Association Mapping (NAM) Population Sherry Flint-Garcia USDA-ARS Columbia, MO.

Analytical Tools For Corn Fractionation Roger Ginder Darren Jarboe Iowa State University.

Developing New Varieties Larry Darrah Research Geneticist and Adjunct Professor USDA-ARS Plant Genetics Research Unit and Department of Agronomy, UMC.

SEED QUALITY OF MAIZE INBRED LINES WITH DIFFERENT OIL AND PROTEIN CONTENTS AND GENETIC BACKGROUND. Miriam Munamava, Susana Goggi and Linda Pollak Iowa.

Hulless barley (Hordeum vulgare L.) resistance to pre-harvest sprouting: diversity and development of method for testing of breeding material L.Legzdiņa,

CO-PRODUCTS 101 CO-PRODUCTS 101 RICK HEATON GH AG/QUAD CO. CORN PROCESSORS GOLDEN BRAN CO-PRODUCTS IOWA RENEWABLE FUELS ASSOCIATION.

PROXIMATE COMPOSITION OF SOME PEARL MILLET HYBRIDS AND THEIR COUSCOUS PRODUCTION POTENTIAL Nkama, I B. C. Hamaker; I. Angarwai;.Hassan, M. J; Diarra.M;

Quantification of Oil Present in Corn Masa By-product Stream Amy Dee Schlechte Maitri Thakur.

Alternating Temperatures Promote Seed Germination of Miscanthus sinensis. E.J. Christian and A. S. Goggi Department of Agronomy, Iowa State University,

,. Sugar measurements in soybeans using Near Infrared Spectroscopy Introduction  Soluble carbohydrates are the third compound of soybeans by weight (11%),

NC-213 The U.S. Quality Grains Research Consortium Marketing and Delivery of Quality Grains and BioProcess Coproducts Whole Wheat Milling of Hard Red Spring.

INTRODUCTION Organic acreage, to meet the feed and food industry demand is increasing. Between 1997 and 2003, certified organic acres grew by 10% per year.

UONA CHRD/NSA 03/02 1 By-products from the EU starch industry : Valuable and safe ingredients for animal feeding 14 September 2006 – IRWM workshop.

Wet Milling Corn Corn Cleaned Steeping Steep water Wet corn Germ

UNITED STATES DEPARTMENT OF AGRICULTURE AGRICULTURAL RESEARCH SERVICE Entry 001 Stiff Stalk Synthetic Derived from 16 line synthetic Developed in 1930.

Present by Mr. Prasert Techacheewapong EFFECT OF COAGULANTS ON SOLUBILITY AND EMULSIFYING PROPERTIES OF PROTEIN CONCENTRATES FROM MUNG BEAN AND ADZUKI.

NC 213: US Quality Grains Research Consortium Kansas City, MO February 18-19, 2015 PROCESSING PROPERTIES OF WHOLE-WHEAT DURUM FLOUR MILLED ON A CENTRIFUGAL.

Department of Agronomy ASA-CSSA-SSSA 2009 International Annual Meeting, Pittsburgh, PA November 3, 2009 Screening of Gametophytic Incompatibility in Maize.

Did Recurrent Selection For Yield Affect Iowa Stiff Stalk Synthetic Maize Population Grain Fill Characteristics? Steve Eichenberger Steve Eichenberger.

SEED QUALITY OF ORGANIC-CERTIFIED CORN HYBRIDS Allen Geyer 1, Peter Thomison 1 *, Deborah Stinner 2, Joseph G. Lauer 4, Leslie Freehill 3, Lori Abendroth.

UNITED STATES DEPARTMENT OF AGRICULTURE AGRICULTURAL RESEARCH SERVICE Entry 001 Stiff Stalk Synthetic (SSS) Derived from 16 line synthetic Developed in.

Methods and Materials Soils – 25 Kansas soils were dried for 48 h at 60 o C, ground, sieved to 2 mm. After preparation, soils were analyzed for Walkley-Black.

Acknowledgements This study was performed with financial support of EEA grant EEZ08AP-27 and European Social Fund co-financed project 2009/0218/1DP/ /09/APIA/VIAA/099.

Purdue-Indiana Seed Industry Forum Post-Harvest Seed Quality Dirk E. Maier Richard Stroshine Agricultural & Biological Engineering Linda Mason Entomology.

Experience Using GEM Germplasm in a Public Breeding Program Jim Hawk, Tecle Weldekidan, and Travis Frey Department of Plant and Soil Sciences.

Use of spectral preprocessing to obtain a common basis for robust regression 5 spectral preprocessing combinations gave significantly higher RPDs (α =

QTL Associated with Maize Kernel Traits among Illinois High Oil × B73 Backcross-Derived Lines By J.J. Wassom, J.C. Wong, and T.R. Rocheford University.

GEM Presentation GEM Team USDA-ARS NCRPIS GEM - December 8, G ermplasm E nhancement of M aize.

APPLIED CONCEPTS IN PLANT BREEDING

Optimization of the nutritional quality characteristics of cowpea-fortified nixtamalized maize using computer-generated response surface models Afoakwa.

Patience, Pride, and Prejudice Some Experience with Maize Germplasm Tom Hoegemeyer.

MATERIALS AND METHODS Emmanuel Ohene Afoakwa*, Justice Asomaning & Esther Sakyi-Dawson Department of Nutrition & Food Science, University of Ghana, Legon-Accra.

DDGS: OVERVIEW AND Trends

Low country Intermediate zone Mid country Intermediate zone

Implications for Dry-Grind Ethanol Production

Ethanol production and fractionation

Emmanuel Ohene Afoakwa* & Philip Roger Aidoo RESULTS AND DISCUSSION

NDVI Active Sensors in Sugarbeet Production for In-Season and Whole Rotation Nitrogen Management.

Term project for the coursework AE 569

Little millet, Panicum sumatrense, an Under-utilized Multipurpose Crop

RESULTS INTRODUCTION MATERIALS AND METHODS Flow diagram of FDP

EFFECTS OF SEED STERILIZATION TREATMENTS ON SEEDLING VIGOR AND IN VITRO CALLUS INDUCTION OF FOUR MAIZE INBRED LINES Anita Dutta1, Juan Carlos Martinez2.

Topsoil Depth at the Centralia Site

Low-Moisture Anhydrous Ammonia (LMAA) Pretreatment of Corn Stover

Rashid Suleiman, Kun Xie and Kurt Rosentrater (PhD)

OGINNI Oluwatosin Jerry

Fig 1: Nitrogen fertilizer application at V7.

Where did our food crops originate?

By Yusufu, Mohammed .I and Danladi, Yusuf

Registrant ID# 2156 Sp24-12 Effect of some chemical modification methods on physico-chemical, functional and pasting properties.

Long-term crop rotations suppress soybean sudden death

YIELD AND QUALITY OF SWEET CORN (Zea mays L. var

The authors thank Embrapa for financial support.

and No-Tillage under Various Crop Rotations.

GEM Annual Meeting Germplasm Enhancement of Maize - December 5,

W. Wen, T. Guo, V.H. Chavez T., J. Yan, S. Taba CIMMYT

E.V. Lukina, K.W. Freeman,K.J. Wynn, W.E. Thomason, G.V. Johnson,

GEM and the UW Silage Breeding Project

Filtration Reading Materials:

Hard Red Winter Wheat Quality Maps Based on Crop Survey by Plains Grains, Inc. Flour and Dough.

ANNUAL REPORT Richard Pratt Dept. of Horticulture and Crop Science

The Big Three Corn Wheat Soybeans Feed Grain Export Processing

SEEDS OF CULTIVATED GRASSES Cereals © PDST Home Economics.

Commercial Checks 2008 Germplasm Enhancement of Maize Hybrid Moisture

University of Wisconsin, Madison

Table 1. Proximate Composition of New Groundnut Accessions

The Potential of Elephant Grass (Pennisetum

Purdue-Indiana Seed Industry Forum

Presentation transcript:

WET MILLING CHARACTERISTICS OF TEN LINES FROM THE GERMPLASM ENHANCEMENT OF MAIZE PROJECT O. R. TABOADA-GAYTAN1, L. M. POLLAK2, L. JOHNSON3, S. FOX3, AND S. DUVICK4 1Agronomy Dept., Iowa State University, Ames, Iowa. 2USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA . 3 Center for Crops Utilization Research, Iowa State University, Ames, Iowa. 4 USDA-ARS Plant Introduction Research Unit, Ames, Iowa. outcrossing INTRODUCTION Corn (Zea mays L.) is the main crop in the United States not only due to the area planted but also to the enormous amount of uses and products that can be obtained from the corn kernels. In 2004, corn production was estimated at 11,807.2 million bushels with average yields of 162 bushels/acre. The use of corn to produce food and for industrial purposes has been increasing during the last few years. In fact, in 2004, 22.6% of the total volume was processed to produce starch, sweeteners, and ethanol and other fermentation products, mainly through the wet-milling process. Starch is the most important product obtained from wet milling. However, production of high-starch-yielding hybrids is still a developing objective of corn breeding programs. Additionally, characteristics that are important for the corn processing industry, such as millability and composition of the recovered fractions, need to be studied. This study is focused on the use of exotic materials to obtain useful breeding lines containing both adapted and exotic characteristics. Figure 2. The Modified 100 g Wet-Milling Process 200-ml 0.2% SO2, 0.5% Lactic Acid STEEP WATER GERM/ COARSE FIBER SEPARATION 7 mesh 4-L Blender WASHING (Sieve Shaker, 5 min) Germ/ Coarse Fiber 100-g CORN 200-ml water 800-ml water GERM SETTLING (60 min) Wash Water 1-L Decant Water Fine Fiber 500-ml Water Pan FIBER Mill Starch MIXING TABLING (50 ml/min, 0.6° slope) Overflow + 250-ml Water (in wash bottle) 1.6-L Decant Water Gluten Slurry COARSE GRINDING (1-L Waring Blender, 60% speed, 4 min) 200 mesh FINE FIBER FINE GRINDING (4-L Waring Blender, 90% speed, 2 min) DRYING (50°C, 24 hr) STEEPING (50°C, 40 hr) STARCH Starch ASPIRATING (550 mm Hg) (Specific gravity adjusted to 1.04) Starch Layer Modified 100-g Wet-Milling Procedure Gluten GLUTEN DECANT RINSE WATER CENTRIFUGATION (6000 rpm, 20 min) The wet-milling characteristics of the lines presented a great variation and statistical differences (p 0.0001) were found among the recovered milling fractions. Total solids recovered did not show statistical differences (Table 2). AR16035:S19-227-1-B, CUBA117:S1520-562-1-B, and CH05015:N15-182-1-B presented better starch yield than the inbred line B73. Correlations among the values of the compositional and wet-milling characteristics (Table 3) varied largely but followed the same pattern reported in previous studies (Fox et al, 1992; Singh et al, 2001) Table 3. Correlation Coefficients Between Compositional and Wet-Milling Characteristics of Ten Lines from the GEM Project STARCH1 PROT. OIL STARCH2 FIBER GERM GLUTEN SWATER STARCH ----------- -0.7823 -0.5670 0.2122 0.7068 -0.5671 -0.3415 -0.4900 0.0683 -0.3449 -0.2736 0.2489 0.5895 0.1712 0.0149 -0.6091 0.5253 -0.1545 0.6553 -0.2988 -0.6792 -0.8299 -0.3471 -0.3335 0.0865 -0.4497 0.4206 0.6412 0.2137- MATERIALS AND METHODS Genetic Materials Ten lines from the GEM project (Fig. 1) were used in this study. The lines have 25% exotic genetic background from Argentina (AR16035:S19-285-1-B and AR16035:S19-227-1-B), Chile (CH05015:N15-182-1-B and CH05015:N15-143-1-B), Cuba (CUBA117:S1520-562-1-B and CUBA117:S1520-153-1-B), Florida (FS8B(T):N1802-32-1-B and FS8B(T):N1802-35-1-B), and Uruguay (UR13085:N0215-11-1-B and UR13085:N0215-14-1-B). Seed of the lines was produced in Ames, IA, in the Summer of 2003 by self pollination and bulked at harvest. Compositional Characteristics Near-Infrared Transmittance (NIR-T) technology was used to estimate moisture, starch, protein, and oil contents of bulked whole kernels from each line by using a FOSS Infratec 1241 Grain Analyzer (Tecator, Hoganas, Sweden). Wet-Milling Characteristics Two samples from each line were analyzed in the laboratory by using the 100 g. modified wet-milling procedure (Singh et al, 1997). This procedure (Fig. 2) yields starch, gluten, fiber, germ, and steepwater fractions. Moisture content of the recovered fractions was determined in triplicate by using the AOAC method 14.004 (AOAC, 1984). Statistical Analysis Proc ANOVA and Proc CORR of SAS (SAS Institute, Cary, NC) were used to determine statistical differences and correlations among different values, respectively. RESULTS Corn lines from the GEM project were originally selected for grain yield as testcrosses and then evaluated for wet-milling properties. For this project ten lines were chosen on the basis of starch yield. The highest and the lowest starch-yielding lines for each of the five different germplasm sources (Argentina, Chile, Cuba, Florida, and Uruguay) were selected. The compositional characteristics, obtained from the NIR-T analysis, of the lines are shown in Table 1. 1, 2 = Compositional and recovered starch, respectively. CONCLUSIONS Some lines with exotic genetic background have better wet-milling characteristics, related to starch yield, than the Corn Belt inbred line B73. The results indicate that the use of exotic corn germplasm in a wet milling breeding program will enhance available genetic diversity. Table 1. Compositional Characteristics of Ten Lines from the GEM Project PEDIGREE COMPOSITIONAL CHARACTERISTICS (db) STARCH PROTEIN OIL AR16035:S19-285-1-B 70.12 11.41 4.35 AR16035:S19-227-1-B 69.65 10.94 4.71 CH05015:N15-182-1-B 69.76 11.88 4.00 CH05015:N15-143-1-B 68.23 12.71 4.47 CUBA117:S1520-562-1-B 69.06 12.35 4.59 CUBA117:S1520-153-1-B 68.82 4.82 FS8B(T):N1802-32-1-B 69.41 11.53 5.06 FS8B(T):N1802-35-1-B 70.71 11.06 UR13085:N0215-11-1-B 71.06 3.76 UR13085:N0215-14-1-B 69.53 12.12 4.12 B73 (Singh et al, 2001) 69.70 11.90 4.30 AR16035:S19-285-1-B CH05015:N15-182-1-B CH05015:N15-143-1-B CUBA117:S1520-562-1-B CUBA117:S1520-153-1-B FS8B(T):N1802-32-1-B FS8B(T):N1802-35-1-B UR13085:N0215-11-1-B UR13085:N0215-14-1-B AR16035:S19-227-1-B Figure 1. The ten GEM lines used in this study. Phenotypic differences, such as color, shape , and size of the kernels, can be observed. Table 2. Wet-Milling Characteristics of Ten Lines from the GEM Project REFERENCES AOAC. 1984. Official Methods of Analysis of the Association of Official Analytical Chemists. 14th ed. Method 14.004 The Association: Washington, DC. Fox, S. R., L. A. Johnson, C. R. Hurburgh, C. Dorsey-Redding, and T. B. Bailey. 1992. Relations of Grain Proximate Composition and Physical Properties to Wet-Milling Characteristics of Maize. Cereal Chem. 69(2):191-197. Singh, S. K., L. A. Johnson, L. M. Pollak, S. R. Fox, and T. B. Bailey. 1997. Comparison of Laboratory and Pilot-Plant Corn Wet-Milling Procedures. Cereal Chem. 74(1):40-48. Singh, S. K., L. A. Johnson, L. M. Pollak, and C. R. Hurburgh. 2001. Compositional, Physical, and Wet-Milling Properties of Accessions Used in the Germplasm Enhancement of Maize Project. Cereal Chem. 78(3):330-335. PEDIGREE WET-MILLING FRACTIONS (% of db) STARCH FIBER GERM GLUTEN SWATER TSR (%) AR16035:S19-285-1-B 61.61cd 11.03d 4.00f 17.87b 5.29c 99.80a AR16035:S19-227-1-B 64.25a 10.06g 5.20d 14.98d 5.22cd 99.70ab CH05015:N15-182-1-B 62.48bc 10.08g 4.53e 17.36bc 5.10de 99.54ab CH05015:N15-143-1-B 56.40g 10.69ef 7.54a 19.50a 5.51b 99.64ab CUBA117:S1520-562-1-B 63.14b 10.54f 4.19f 16.88c 5.05e 99.79a CUBA117:S1520-153-1-B 60.98de 10.87de 5.01d 17.22bc 5.33c 99.40b FS8B(T):N1802-32-1-B 60.67e 10.18g 6.51b 16.73c 5.78a 99.87a FS8B(T):N1802-35-1-B 59.08f 12.57e 5.69c 17.47bc 4.97e 99.77ab UR13085:N0215-11-1-B 60.90de 13.56a 3.60g 16.77c 99.91a UR13085:N0215-14-1-B 61.91c 11.37c 4.71e 16.84c 5.06e 99.88a B73 (Singh et al, 2001) 62.40 11.40 5.10 -------- SWATER = Steepwater Yield, TSR = Total Solids Recovery. a-g = Values with different letter on the same column are statistically different at p=0.05 CONTACT INFORMATION Linda M. Pollak: Professor in Charge. 1405 Agronomy Hall, Iowa State University, Ames, Iowa, 50011. Phone: (515) 294-7831. E-mail: lmpollak@iastate.edu.