Published online 27 March 2006
Published in Crop Sci 46:1124-1129 (2006)
© 2006 Crop Science Society of America
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Blending Hard White Wheat to Improve Grain Yield and End-Use Performances
Kyung-Min Leea,
James P. Shroyerb,
Timothy J. Herrmanc,* and
Jane Lingenfelserd
a Dep. of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843
b Dep. of Agronomy, Kansas State University, Manhattan, KS66506
c Office of the Texas State Chemist, College Station, Texas A&M University, College Station, TX 77841
d Dep. of Grain Science and Industry, Kansas State University, Manhattan KS 66506

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Fig. 1. Relative difference (Betty and Trego blend response Trego response) for test weight (kg hL1) among blends with different percentage of Betty at three Kansas locations (Colby [linear, P = 0.0005], Hays [linear, P < 0.0001], and Tribune [linear, P < 0.0001]).
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Fig. 2. Relative difference (Betty and Trego blend response Trego response) for SKCS single kernel weight (mg) among blends with different percentage of Betty at three Kansas locations (Colby [linear, P < 0.0001], Hays [linear, P = 0.0086], and Tribune [linear, P < 0.0001]).
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Fig. 3. Relative difference (Betty and Trego blend response Trego response) for grain protein concentration (g kg1) among blends with different percentage of Betty at three Kansas locations (Colby [linear, P < 0.0001], Hays [linear, P < 0.0001], and Tribune [not significant]).
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Fig. 4. Relative difference (Betty and Trego blend response Trego response) for grain yield (kg ha1) among blends with different percentage of Betty at three Kansas locations (Colby [linear, P < 0.0001], Hays [not significant], and Tribune [not significant]).
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Fig. 5. Relative difference (Betty and Trego blend response Trego response) for flour extraction (g kg1) among blends with different percentage of Betty at three Kansas locations (Colby [linear, P = 0.0030], Hays [linear, P < 0.0001], and Tribune [linear, P = 0.0022]).
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Copyright © 2006 by the Crop Science Society of America.