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Quantifying Crop Phenology For Food Sustainability Under Climate Change: Integration Of Remote Sensing, Machine Learning, And Ecosystem Modeling, Yanjun Yang
Theses and Dissertations--Plant and Soil Sciences
Climate change is projected to continue and accelerate significantly in the future if global greenhouse gas emissions are not curbed. Previous studies have shown that crop growth and production in agroecosystems are primarily determined by the weather conditions over the growing season. Crop phenology represents one of the most critical indicators in determining crop yield and adjusting the adaptation of crops to climate change. It provides essential information for monitoring and modeling crop growth dynamics and productivity. Therefore, understanding and quantifying the impacts of climate change on crop phenology and then agricultural production is crucial to formulate feasible climatic adaptation …
Assessment Of Oil Quantification Methods In Soybean And Chia Seeds And Characterization Of Oil And Protein In Mutant Chia (Salvia Hispanica L.) Seeds, Ahmed N. Al-Bakri
Assessment Of Oil Quantification Methods In Soybean And Chia Seeds And Characterization Of Oil And Protein In Mutant Chia (Salvia Hispanica L.) Seeds, Ahmed N. Al-Bakri
Theses and Dissertations--Plant and Soil Sciences
This thesis includes two main parts:
I. Evaluation of techniques for oil (total lipid) quantification of chia and soybean seeds.
This study evaluated ten different methods of seed oil quantification, including some methods that have not been applied to oilseeds before. The main aim of this study was to find one or more techniques that are easy, inexpensive, safe and fast with a small amount of ground seeds. The Soxhlet method was used as a standard to compared between techniques of oil quantification. The oil extraction by the Soxhlet method was evaluated with two solvents petroleum ether and acetone. There …