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Full-Text Articles in Life Sciences
The Development Of A Water Quality Model For Baltimore Harbor, Back River, And The Adjacent Upper Chesapeake Bay, Harry V. Wang, Hui Lui, Kyeong Park
The Development Of A Water Quality Model For Baltimore Harbor, Back River, And The Adjacent Upper Chesapeake Bay, Harry V. Wang, Hui Lui, Kyeong Park
Reports
No abstract provided.
Morphology Predicts Suction Feeding Performance In Centrarchid Fishes, Andrew M. Carroll, Peter C. Wainwright, Stephen H. Huskey, David C. Collar, Ralph G. Turingan
Morphology Predicts Suction Feeding Performance In Centrarchid Fishes, Andrew M. Carroll, Peter C. Wainwright, Stephen H. Huskey, David C. Collar, Ralph G. Turingan
Ocean Engineering and Marine Sciences Faculty Publications
Suction feeding fish differ in their capacity to generate subambient pressure while feeding, and these differences appear to relate to morphological variation. We developed a morphological model of force transmission in the fish head and parameterized it with measurements from individual fish. The model was applied to 45 individuals from five species of centrarchid fishes: Lepomis macrochirus, Lepomis punctatus, Lepomis microlophus, Micropterus salmoides and Pomoxis nigromaculatus. Measurements of epaxial cross-sectional area, epaxial moment arm, buccal area and buccal area moment arm were combined to estimate pressure generation capacity for individual fish. This estimation was correlated with pressure measured in fish …
Predicting Phenological Development In Winter Wheat, Qingwu Xue, Albert Weiss, P. Stephen Baenziger
Predicting Phenological Development In Winter Wheat, Qingwu Xue, Albert Weiss, P. Stephen Baenziger
Department of Agronomy and Horticulture: Faculty Publications
Accurate prediction of phenological development is important in the winter wheat Triticum aestivum agroecosystem. From a practical perspective, applications of pesticides and fertilizers are carried out at specific phenological stages. In crop-simulation modeling, the prediction of yield components (kernel number and kernel weight) and wheat-grain yield relies on accurate prediction of phenology. In this study, a nonlinear multiplicative model by Wang & Engel (WE) for predicting phenological development in differing winter wheat cultivars was evaluated using data from a 3 yr field experiment. In the vegetative phase (emergence to anthesis) the daily development rate (r) was simulated based on the …