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

Cellular systems biology identifies dynamic trophoblast populations in early human placentas

Placenta ◽  
2019 ◽  
Vol 76 ◽  
pp. 10-18 ◽  
Author(s):  
Frances T.M. Wong ◽  
Chenchia Lin ◽  
Brian J. Cox
Keyword(s):  
Systems Biology ◽  
Cellular Systems ◽  
Early Human

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.

Cellular Systems Biology Profiling Applied to Cellular Models of Disease

2009 ◽  
Vol 12 (9) ◽  
pp. 838-848 ◽  
Author(s):  
Kenneth Giuliano ◽  
Daniel Premkumar ◽  
Christopher Strock ◽  
Patricia Johnston ◽  
D. Taylor
Keyword(s):  
Systems Biology ◽  
Cellular Systems ◽  
Cellular Models ◽  
Models Of Disease

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

scholarly journals Morpho-Physiological Mechanisms of Maize for Drought Tolerance

2021 ◽  
Author(s):  
Abu Sayeed Md. Hasibuzzaman ◽  
Farzana Akter ◽  
Shamim Ara Bagum ◽  
Nilima Hossain ◽  
Tahmina Akter ◽  
...  
Keyword(s):  
Abscisic Acid ◽  
Plant Growth ◽  
Reverse Genetics ◽  
Plant Growth Promoting Rhizobacteria ◽  
Maize Yield ◽  
Stress Inoculation ◽  
Nutrient Metabolism ◽  
Physiological Mechanisms ◽  
Relative Water ◽  
Plant Growth Promoting

Maize is one of the mostly consumed grains in the world. It possesses a greater potentiality of being an alternative to rice and wheat in the near future. In field condition, maize encounters abiotic stresses like salinity, drought, water logging, cold, heat, etc. Physiology and production of maize are largely affected by drought. Drought has become a prime cause of agricultural disaster because of the major occurrence records of the last few decades. It leads to immense losses in plant growth (plant height and stem), water relations (relative water content), gas exchange (photosynthesis, stomatal conductance, and transpiration rate), and nutrient levels in maize. To mitigate the effect of stress, plant retreats by using multiple morphological, molecular, and physiological mechanisms. Maize alters its physiological processes like photosynthesis, oxidoreductase activities, carbohydrate metabolism, nutrient metabolism, and other drought-responsive pathways in response to drought. Synthesis of some chemicals like proline, abscisic acid (ABA), different phenolic compounds, etc. helps to fight against stress. Inoculation of plant growth-promoting rhizobacteria (PGPR) can result to the gene expression involved in the biosynthesis of abscisic acid which also helps to resist drought. Moreover, adaptation to drought and heat stress is positively influenced by the activity of chaperone proteins and proteases, protein that responds to ethylene and ripening. Some modifications generated by clustered regularly interspaced short palindromic repeat (CRISPR)-Cas9 are able to improve maize yield in drought. Forward and reverse genetics and functional and comparative genomics are being implemented now to overcome stress conditions like drought. Maize response to drought is a multifarious physiological and biochemical process. Applying data synthesis approach, this study aims toward better demonstration of its consequences to provide critical information on maize tolerance along with minimizing yield loss.

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
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