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Establishment of lucerne after maize in conservation tillage systems† (1994)

BYERS, R. A. ; BAHLER, C. C. ; STOUT, W. L. ; [et al.]

Oxford, UK : Blackwell Publishing Ltd

Grass and forage science 49 (1994), S. 0

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ISSN: 1365-2494

Source: Blackwell Publishing Journal Backfiles 1879-2005

Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition

Notes: Extensive slug damage reported for lucerne (Medicago sativa L.) establishment in grass sod and small grain fields when using conservation tillage prompted this 3-year study on establishing lucerne in maize (Zea mays L.). Different crop residues were created by harvesting maize for grain and silage and including a silage+rye (Secale cereale L.) winter cover crop treatment. Conventional tillage (ploughed in spring) following grain harvest was included as a control. In addition, a combination treatment of methiocarb bait broadcast on the surface and carbofuran granules applied in the furrow with the seed was compared with an untreated control. Finally, three planting dates, early and late April and late May, simulated the spring planting season. Planting lucerne in the different maize residues had a significant effect on lucerne yields, especially the silage+rye residue treatment, which caused the lowest lucerne yields. Highest yields of lucerne occurred when it was planted after silage, a treatment in which residue was minimal.The earliest planting date gave the highest lucerne yields in the establishment year. Slugs did not reduce the establishment of lucerne in any maize residue, nor were lucerne yields affected by slug feeding. This was attributed to the low slug populations observed early in the growing season. Establishing and producing lucerne in maize residues was more successful in this study because of the lower slug populations than those usually encountered in grass sod or small grain residues.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1111/j.1365-2494.1994.tb02006.x

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Application of generalized linear filters in data analysis (1994)

Barnes, S. E. ; Peter, M. ; Hoffmann, L. ; [et al.]

Springer

Journal of statistical physics 76 (1994), S. 679-701

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ISSN: 1572-9613

Keywords: Generalized linear filters ; data analysis ; image processing

Source: Springer Online Journal Archives 1860-2000

Topics: Physics

Notes: Abstract It is shown that a useful generalized linear filterW can be constructed from experimental data. The data are divided into many experiments and this ensemble is used to calculate the autocorrelation functions which appear inW. In turn, from this filter one determines a “Hamiltonian” ℋ. The eigenvectors and eigenvalues of this Hamiltonian are evaluated. For a “good” experiment there is one small eigenvalue, and the rest are ≈1. TheW so determined usefully reduces the noise in a new data set. The presence of two or more small eigenvalues indicates that the experimental data contains more than a single signal. The action ofW on selected members of the ensemble, and/or new data sets, extracts the different signals with, again, a useful noise reduction. Both computer simulations and real positron annihilation data are used to illustrate these development.