Capers Island S262

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Capers Island S262 Recreational Shellfish Ground in Charleston County.

Sewee Bay S272

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Sewee Bay S272 Recreational Shellfish Ground in Charleston County.

Moores Landing S275

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Moores Landing S275 Recreational Shellfish Ground in Charleston County.

South Bulls Bay S276

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of South Bulls Bay S276 Recreational Shellfish Ground in Charleston County.

North Bulls Bay S279

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of North Bulls Bay S279 Recreational Shellfish Ground in Charleston County.

Mark Bay S283

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Mark Bay S283 Recreational Shellfish Ground in Charleston County.

Bulls Bay S286

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Bulls Bay S286 Recreational Shellfish Ground in Charleston County.

Alligator Creek S328

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Alligator Creek S328 Recreational Shellfish Ground in Charleston County.

Santee Point S340

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Santee Point S340 Recreational Shellfish Ground in Georgetown County.

Jones Creek S342

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Jones Creek S342 Recreational Shellfish Ground in Georgetown County.

Brookgreen S354

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Brookgreen S354 Recreational Shellfish Ground in Georgetown County.

Drunken Jack Island S357

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Drunken Jack Island S357 Recreational Shellfish Ground in Georgetown County.

Murrells Inlet S358

The South Carolina Department of Natural Resources provides maps to recreational and state shellfish grounds, available to the public for recreational harvesting or to commercial harvest. This map shows the location of Murrells Inlet S358 Recreational Shellfish Ground in Georgetown County.

Prédiction de la digestibilité des acides aminés des ingrédients utilisés en alimentation porcine : approche par méta-analyse

En alimentation animale, l’utilisation adéquate des aliments nécessite une connaissance précise des valeurs nutritionnelles de leurs composantes, dont celle en acides aminés. Cependant, ces valeurs nutritionnelles dépendent de la teneur en acides aminés essentiels (AAE) totaux et de la digestibilité iléale standardisée (DIS) de ces AAE. Cette dernière varie en fonction de plusieurs facteurs, dont l’origine botanique des graines, les conditions de culture des récoltes, le stockage des aliments, les traitements physico-chimiques appliqués aux grains, les facteurs antinutritionnels (FANs) et les techniques expérimentales utilisées pour le dosage et l’estimation de la digestibilité des AAE. Une approche par méta-analyse a permis d’établir des modèles de prédiction de la valeur nutritionnelle en AAE des ingrédients à partir de leur composition chimique en considérant la protéine brute (PB), les AAE totaux, la teneur en fibre (Acid Detergent Fiber (ADF), Neutral Detergent Fiber (NDF) et Fibre Brute (FB)) et les FANs comme les inhibiteurs de la trypsine. En se référant à l’analyse graphique et statistique, les données ont été réparties en 4 groupes : 1) les tourteaux (tourteau de soja, colza/canola et coton); 2) les légumineuses (féveroles, lupins, pois et soja); 3) les céréales (blé, orge, avoine, sorgho et maïs); 4) les drêches de distilleries (blé et maïs). Ainsi, un modèle général ajusté en fonction du type d’ingrédients a été généré et les facteurs de variation de la digestibilité en AAE ont été identifiés. Pour les tourteaux, la DIS des AAE est réduite par un accroissement de la teneur en NDF, tandis que la DIS des AAE de la féverole, pois et lupin est principalement influencée par la teneur en PB et en FANs. Concernant les graines de soja la DIS des AAE est réduite par une hausse de la teneur en fibre (FB et ADF). Enfin pour les céréales et les sous- produit de céréales telles que les drêches, la PB et les fibres (ADF ou NDF) étaient les meilleurs nutriments pour prédire la DIS des AAE. Ces résultats démontrent que la DIS des AAE peut être prédite avec précision à partir de la composition chimique pour la plupart des ingrédients.

Radio Frequency Synthesis for Power-Constrained Systems

Thesis (Ph.D.)--University of Washington, 2015