104288
Comparing Productivity and Efficiency of Grass-Only and Grass-Legume Beef Stocker Grazing Systems in the Southern High Plains.

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See more from this Session: Graduate Student Oral Competiton – Ph.D. Students

Monday, February 6, 2017: 2:00 PM

Lisa Baxter, Plant and Soil Science, Texas Tech University, LUBBOCK, TX and Charles P. West, Texas Tech University, Texas Tech University, Lubbock, TX
Abstract:
The imminent depletion of the Ogallala Aquifer demands innovative alternatives to prevent dramatic losses of income when water levels are insufficient for irrigated row-crop production in the Southern High Plains. With the goal to optimize sustainability and productivity with pasture-based beef stocker systems, a grass-legume (GL) pasture system employing regionally novel forages and grazing techniques was compared to a previously examined grass-only (GO) warm-season pasture system. Since protein is often the limiting factor in improving performance of stockers grazing warm-season perennial pastures, higher gains are expected with strategic inclusion of legumes such as alfalfa (Medicago sativa L.). Alfalfa was managed as a protein bank so that a limited water resource was concentrated on a small area to produce a high-quality supplement for poorer-quality grass pastures. Inclusion of legumes increased stocker gain achieved per hectare in all three years (P < 0.01). Longer, less frequent rotations into the protein bank further magnified this difference between treatments in year 2 and 3. There was no significant difference in the irrigation applied to the GO and GL systems when averaged across the three trial years (P = 0.80). Finally, the water footprint of the GL system was lower than the GO system in all three years (P < 0.01). The forage-livestock systems created in this research will serve as alternatives for producers transitioning from irrigated row-crops into more resource-sustaining systems.

See more from this Division: Submissions
See more from this Session: Graduate Student Oral Competiton – Ph.D. Students