Full TGIF Record # 244487
Item 1 of 1
DOI:10.1080/09064710802322139
Web URL(s):http://www.tandfonline.com/doi/full/10.1080/09064710802322139
    Last checked: 06/12/2014
    Access conditions: Item is within a limited-access website
http://www.tandfonline.com/doi/pdf/10.1080/09064710802322139
    Last checked: 06/12/2014
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    Access conditions: Item is within a limited-access website
Publication Type:
i
Report
Author(s):Gislum, René; Deleuran, Lise Christina; Boelt, Birte
Author Affiliation:University of Aarhus, Faculty of Agricultural Sciences, Department of Genetics and Biotechnology, Research Centre Flakkebjerg, Slagelse, Denmark
Title:Predicting seed yield in perennial ryegrass using repeated canopy reflectance measurements and PLSR
Source:Acta Agriculturae Scandinavica: Section B, Soil and Plant Science. Vol. 59, No. 5, 2009, p. 414-423.
Publishing Information:[London, United Kingdom]: Taylor & Francis
# of Pages:10
Related Web URL:http://www.tandfonline.com/doi/abs/10.1080/09064710802322139
    Last checked: 06/12/2014
    Notes: Abstract only
Keywords:TIC Keywords: Application timing; Canopy reflectance; Lolium perenne; Nitrogen application; Seed yield
Abstract/Contents:"Repeated canopy reflectance measurements together with partial least-squares regression (PLSR) were used to predict seed yield in perennial ryegrass (Lolium perenne L.). The measurements were performed during the spring and summer growing seasons of 2001 to 2003 in three field experiments with first year seed crops using three sowing rates and three spring nitrogen (N) application rates. PLSR models were developed for each year and showed correlation coefficients of 0.71, 0.76, and 0.92, respectively. Regression coefficients showed in these experiments that the optimum time for canopy reflectance measurements was from approximately 600 cumulative growing degree-days (CGDD) to approximately 900 CGDD. This is the period just before and at heading of the seed crop. Furthermore, regression coefficients showed that information about N and water is important. The results support the development of an additional N- and water-application model which will calculate the application rate of N and water according to expected seed yield."
Language:English
References:38
Note:Equations
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Gislum, R., L. C. Deleuran, and B. Boelt. 2009. Predicting seed yield in perennial ryegrass using repeated canopy reflectance measurements and PLSR. Acta Agriculturae Scandinavica: Section B, Soil and Plant Science. 59(5):p. 414-423.
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DOI: 10.1080/09064710802322139
Web URL(s):
http://www.tandfonline.com/doi/full/10.1080/09064710802322139
    Last checked: 06/12/2014
    Access conditions: Item is within a limited-access website
http://www.tandfonline.com/doi/pdf/10.1080/09064710802322139
    Last checked: 06/12/2014
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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MSU catalog number: b2483019
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