Linking Moose Population and Plant Growth Models with a Moose Energetics Model

Ecosystems ◽  
1998 ◽  
Vol 1 (1) ◽  
pp. 52-63 ◽  
Author(s):  
Ron Moen ◽  
Yosef Cohen ◽  
John Pastor
Keyword(s):  
Plant Growth ◽  
Growth Models ◽  
Moose Population

EFFECTS OF SOIL COMPACTION ON DEVELOPMENT AND YIELD OF CORN (MAIZE)

1978 ◽  
Vol 58 (2) ◽  
pp. 435-443 ◽  
Author(s):  
G. S. V. RAGHAVAN ◽  
E. McKYES ◽  
G. GENDRON ◽  
B. BORGLUM ◽  
H. H. LE
Keyword(s):  
Plant Growth ◽  
Contact Pressure ◽  
Soil Compaction ◽  
Prediction Models ◽  
Growth Models ◽  
Block Design ◽  
Soil Bulk Density ◽  
Growth And Yield ◽  
Before And After ◽  
Four Blocks

A 100-plot experiment was performed during the growing season of 1976 in a Ste. Rosalie clay soil, using a randomized complete-block design with 25 treatments of machinery traffic within each of four blocks. Three vehicle contact pressures, four numbers of tractor passes, before or after seeding groups and a control of zero traffic were used to relate the growth and yield variables to wheel traffic and resulting soil compaction. Plant emergence and tasselling were delayed with increasing machinery traffic. The plant growth rate monitored at 29, 44, 60, 74 and 88 days from the seeding time was dramatically different from plot to plot. Growth models at different times of the season were derived in terms of the product of contact pressure and number of passes of the vehicle. Plant and ear moisture contents were higher in plots with heavier traffic treatment. Yield, ear yield and grain yield all decreased with increases in machine contact pressure and passes. The reduction in yield was over 50% in some cases, suggesting that careful traffic planning is essential to obtain better production in agricultural fields. Prediction models were obtained for all the plant growth characteristics in terms of traffic variables for both before- and after-seeding treatments. A relation for yield in terms of soil bulk density was established.

scholarly journals Parametrization of five classical plant growth models applied to sugar beet and comparison of their predictive capacity on root yield and total biomass

2014 ◽  
Vol 290 ◽  
pp. 11-20 ◽  
Author(s):  
Charlotte Baey ◽  
Anne Didier ◽  
Sébastien Lemaire ◽  
Fabienne Maupas ◽  
Paul-Henry Cournède
Keyword(s):  
Plant Growth ◽  
Sugar Beet ◽  
Growth Models ◽  
Total Biomass ◽  
Root Yield ◽  
Predictive Capacity

scholarly journals Development and Evaluation of Plant Growth Models: Methodology and Implementation in the PYGMALION platform

2013 ◽  
Vol 8 (4) ◽  
pp. 112-130 ◽  
Author(s):  
P.-H. Cournède ◽  
Y. Chen ◽  
Q. Wu ◽  
C. Baey ◽  
B. Bayol
Keyword(s):  
Plant Growth ◽  
Growth Models

Physiological mechanisms in plant growth models: do we need a supra-cellular systems biology approach?

2013 ◽  
Vol 36 (9) ◽  
pp. 1673-1690 ◽  
Author(s):  
HENDRIK POORTER ◽  
NIELS P. R. ANTEN ◽  
LEO F. M. MARCELIS
Keyword(s):  
Systems Biology ◽  
Plant Growth ◽  
Growth Models ◽  
Cellular Systems ◽  
Physiological Mechanisms

Effectively tuning plant growth models with different spatial complexity: A statistical perspective

2017 ◽  
Vol 361 ◽  
pp. 95-112
Author(s):  
Yoshiaki Nakagawa ◽  
Masayuki Yokozawa ◽  
Akihiko Ito ◽  
Toshihiko Hara
Keyword(s):  
Plant Growth ◽  
Growth Models ◽  
Spatial Complexity

scholarly journals Developmental Stages in Dynamic Plant Growth Models

2011 ◽  
Author(s):  
Heather Maclean ◽  
Denis Dochain ◽  
Geoff Waters ◽  
Michael Stasiak ◽  
Mike Dixon ◽  
...  
Keyword(s):  
Plant Growth ◽  
Developmental Stages ◽  
Growth Models ◽  
Dynamic Plant
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