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Published online 16 January 2008
Published in Crop Sci 48:119-126 (2008)
© 2008 Crop Science Society of America
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Divergent Selection for Phosphorus Concentration in Reed Canarygrass

M. D. Caslera,*, D. J. Undersanderb and W. E. Jokelac

a USDA-ARS, U.S. Dairy Forage Research Center, 1925 Linden Dr. West, Madison, WI 53706-1108
b Dep. of Agronomy, University of Wisconsin, Madison, WI 53706-1597
c USDA-ARS, Marshfield Agric. Res. Stn., 8396 Yellowstone Dr., Marshfield, WI 54449. Research partially supported by the University of Wisconsin College of Agricultural and Life Sciences. Use of trade or brand names does not imply an endorsement by the USDA-ARS or University of Wisconsin to the exclusion of any other product

* Corresponding author (mdcasler{at}facstaff.wisc.edu).

Phosphorus is a vital nonrenewable natural resource that is essential for plant and animal growth. Grass swards and buffer strips can be used to reduce P losses that occur by soil erosion, surface runoff, or leaching. The objective of this study was to conduct one cycle of divergent selection for P concentration in reed canarygrass (Phalaris arundinacea L.) and to evaluate the effects of selection on P concentration, forage yield, and P uptake (the product of P concentration and forage yield). Divergent selections and original populations were evaluated in sward plots, harvested three times per year for 2 yr at three locations. Selection responses indicated that P concentration is a heritable trait in reed canarygrass; that genetic gains were highly repeatable across harvests, locations, and years; and that there is a negative genetic correlation between P concentration and sward-plot forage yield. Future selection efforts must be based on genotypic selection methods, in which half-sib families are evaluated for forage yield, P concentration, and P uptake in sward plots.

Abbreviations: ICPE, inductively coupled plasma emission • NIRS, near-infrared reflectance spectrophotometer • OM, organic matter • PLS, pure live seed • SEP(C), standard error of prediction (calibration)


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Received for publication March 22, 2007.





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