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  • 1985-1989  (2)
  • Parameter extraction  (1)
  • tuber yield  (1)
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  • 1985-1989  (2)
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  • 1
    ISSN: 1871-4528
    Keywords: heat stress ; tuber yield ; clones
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Summary The ‘cutting technique’ or ‘tuberisation stimulus’ (TS) technique was investigated as a method of identifying heat tolerant clones ofSolanum tuberosum ssp.tuberosum. TS levels were assessed, using leaf cuttings, for 100 experimental clones growing under heat stress in a controlled environment (35/15°C day/night temperatures, 16 h photoperiod). No correlation was found with the tuber yields of these clones when grown in an irrigated trial in Israel. The relationship between TS levels and tuber production was investigated using early and later maturing cultivars grown with and without heat stress. These experiments showed that the cv. Blanka had high TS levels in all environments and high tuber fresh weights when grown under heat stress. However, the correlation between TS levels and tuber fresh weight for all cultivars was weak (r=0.45). The results indicated that this TS technique is unlikely to be an accurate method of screeningtuberosum clones for heat tolerance.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Medical & biological engineering & computing 27 (1989), S. 449-455 
    ISSN: 1741-0444
    Keywords: Bioprosthetic heart valves ; Heart sound detection ; Parameter extraction ; Phonocardiography ; Spectral analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract The problems encountered in the automatic detection of cardiac sounds and murmurs are numerous. The phonocardiogram (PCG) is a complex signal produced by deterministic events such as the opening and closing of the heart valves, and by random phenomena such as blood-flow turbulence. In addition, background noise and the dependence of the PCG on the recording sites render automatic detection a difficult task. In the paper we present an iterative automatic detection algorithm based on the a priori knowledge of spectral and temporal characteristics of the first and second heart sounds, the valve opening clicks, and the systolic and diastolic murmurs. The algorithm uses estimates of the PCG envelope and noise level to identify iteratively the position and duration of the significant acoustic events contained in the PCG. The results indicate that it is particularly effective in detecting the second heart sound and the aortic component of the second heart sound in patients with lonescu-Shiley aortic valve bioprostheses. It has also some potential for the detection of the first heart sound, the systolic murmur and the diastolic murmur.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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