Predicting - Globe Thesis

Keyword [Predicting] Result: 141 - 160 \| Page: 8 of 9
141.	PTAEDA-LIGHT: A mechanistic light-competition model for predicting the growth and survival of loblolly pine trees (Pinus taeda)
142.	Evaluation of low phytate barleys and an in vitro procedure for predicting phosphorus availability in organic and inorganic sources of phosphorus
143.	Predicting spatial patterns of corn yield response to fertilizer nitrogen
144.	Predicting digestibility of Ammonia Fiber Explosion (AFEX) treated rice straw
145.	Predicting the spatial pattern of corn yield under water limiting conditions
146.	Predicting durability of disease resistance genes based on assessment of the fitness function of avirulence genes
147.	Predicting the viability of fish populations in a modified riverine environment
148.	Predicting leaching requirements to prevent soil salinization from a shallow water table
149.	A spatiotemporal mountain pine beetle outbreak model predicting severity, cycle period, and invasion speed
150.	Predicting moisture and chemical changes during bulk curing of flue -cured tobacco
151.	Predicting crop yields and productivity indices for Illinois soils
152.	Predicting transpiration rates of hydroponically grown plant communities in controlled environments
153.	Predicting the effect of lignin on the extent of digestion and the evaluation of alternative intake models for lactating cows consuming high NDF forages
154.	Evaluation of tests for predicting field emergence in cottonseed
155.	A study of the relationship between forest distribution and environmental variables using information theory: A regional-scale model for predicting forest response to global warming
156.	Predicting change in residual extractable P for site-specific management in paddy soils of Indonesia
157.	Comparison of methods for predicting nitrogen uptake and grain yield by rice
158.	Predicting the movement and retention of pesticides in soils: Physical and chemical nonequilibrium modeling approaches
159.	Predicting daily soil temperature and available soil water capacity through topographical analysis at various scales using climatic and satellite data
160.	Predicting optimal harvest date for peanut production
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