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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Grass and forage science 33 (1978), S. 0 
    ISSN: 1365-2494
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Science Ltd
    Grass and forage science 52 (1997), S. 0 
    ISSN: 1365-2494
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: There have been few successful programmes to select forage plants with improved nutritive value for dairy cattle, despite the implications of improved forage quality for dairy production. Part of this lack of progress has been attributed to differences in opinion on the relative importance of improving individual traits relating to nutritive value. This paper reports the use of the Delphi survey technique to obtain an estimate of the priority for improvement of individual nutritive value traits among a large group of respondents. The Delphi technique has been used previously to rank nutritive value traits in forages for liveweight gain and wool production (Wheeler and Corbett, 1989, Grass and Forage Science, 44, 77–83). Increasing dry-matter digestibility (DMD) was ranked as the most important goal for grasses; increased non-structural carbohydrate (WSC) and improved rate of digestion were ranked second and third in importance. The absence of anti-quality factors, and an ‘optimal ratio’ of rumen degradable protein to undegradable protein (RDP/UDP) were ranked most highly for legumes, with increased DMD and WSC following closely behind. Increased magnesium and increased lipid content were ranked lowest for both grasses and legumes. Similar rankings were achieved when mean rankings from Australian and New Zealand scientists were compared with those from US and European scientists. Rankings were also similar when results from nutrition scientists were compared with those from plant breeders/agronomists.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Plant breeding 123 (2004), S. 0 
    ISSN: 1439-0523
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Fifty-three genotypes of perennial ryegrass selected from a range of cultivars and ecotypes were evaluated for their reaction to crown rust isolates collected from Western Australia, Victoria, Queensland, South Australia or New South Wales in Australia. The reactions of the clones to inoculation provided evidence for the development of a differential set of perennial ryegrass genotypes, but also demonstrated that a large number of genotypes displayed universal reactions to infection with any of the crown rust isolates.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1573-5060
    Keywords: cluster analyses ; growth score ; persistence ; white clover ; Trifolium repens
    Source: Springer Online Journal Archives 1860-2000
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Summary A visual growth score method was used to monitor the growth performance of 24 populations of white clover (Trifolium repens) over a three year period. The mean growth scores for each year were used as population x year data for cluster analyses. Cluster analysis methods based on a regression model where genotypes were grouped for similarity of both intercepts and slopes (Method 1) or slopes only (Method 2), were able to differentiate the persistent populations from those that showed a yield decline over time. The deviations from regression mean square was used as an indication of stability. Method 1 was able to cluster the high yielding persistent populations into a separate cluster, thus facilitating the selection of desirable populations. Deviations from regression identified the stable populations from the cluster. In combination with the simple growth score system, this analytical method is a powerful tool for evaluating a large number of breeding families of perennial pasture clovers and grasses for yield and persistence.
    Type of Medium: Electronic Resource
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