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Frost Seeding into Aging Alfalfa Stands

Sward Dynamics and Pasture Productivity

^a Dep. of Agronomy, Univ. of Wisconsin, Madison, WI 53706-1597
^b Consumers' Coop., Richland Center, WI 53581

View larger version (33K): [in a new window]   Fig. 1. Grass (closed circles) and legume (open circles) contributions to sward dry matter in September of the seeding year, 6 mo after frost seeding with six temperate pasture species. Means are over four replicates at each of seven sites. Presence of * or ** indicates significance of linear regressions for grass (G) or legume (L) dry matter on seeding rate, or significance of the difference between linear regression coefficients for grass (ßG) vs. legume (ßL) at P = 0.05 or 0.01, respectively

View larger version (38K): [in a new window]   Fig. 2. Seeded-species occurrence in September of the seeding year (open circles) or May of the postseeding year (closed circles) following frost seeding with six temperate pasture species. Means are over four replicates at each of seven sites. Presence of * or ** indicates significance of linear regressions of seeded-species occurrence on the logarithm of seeding rate, or significance of the difference between log-linear regression coefficients for September (ßSep) vs. May (ßMay) at P = 0.05 or 0.01, respectively

View larger version (34K): [in a new window]   Fig. 3. Grass (closed circles) and legume (open circles) contributions to sward dry matter in May of the postseeding year, 14 mo after frost seeding with six temperate pasture species. Means are over four replicates at each of seven sites. Presence of * or ** indicates significance of linear regressions for grass (G) or legume (L) dry matter on seeding rate, or significance of the difference between linear regression coefficients for grass (ßG) vs. legume (ßL) at P = 0.05 or 0.01, respectively

View larger version (20K): [in a new window]   Fig. 4. Probability of frost-seeding success (P), as measured by the frequency of sites for which the value of increased May forage yields exceeded the cost of seed, as a function of seeding rate (SR). Regressions were: Perennial ryegrass, P = 0.951 - 0.144ln(SR), R2 = 0.72, P = 0.07; Orchardgrass, P = 0.722 + 3.4 x 10-5SR - 7.9 x 10-7SR2, R2 = 0.99, P < 0.01; Reed canarygrass, P = 0.391 - 0.062ln(SR), R2 = 0.75, P = 0.06; and Smooth bromegrass, P = 1.787 - 0.268ln(SR), R2 = 0.98, P < 0.01