540 research outputs found
Long-term accumulation of soil carbon and nitrogen in grazed bermudagrass pastures
Last updated: 10/22/201
Nutritive Value and Relative Feed Value of 'Alfagraze' Alfalfa During the Summer Hay Harvest Period
Last updated: 6/12/200
Nutritive Value of Alfalfa Leaf and Stem as Affected by Harvest Date and Boron Rate
Last updated: 6/20/201
Sources of Error for Ultrasonic Measurements of Steer Compositional Traits in Grazing Studies
Real-time ultrasound technology has potential use for measuring compositional traits in grazing studies. Sources of error with this application must be identified for designing experiments with adequate precision to determine treatment effects. A study was conducted to evaluate breed type (Angus x Brahman, AB; Simmental x [Angus x Brahman], SAB; Simmental x [Brahman x Hereford], SBH), initial body weight, and initial ultrasonic measures as sources of experimental error in the analyses of external fat (EF) depths and longissimus dorsi (ribeye) areas (LDA). Steers were ultrasonically scanned at the initiation and conclusion of a grazing study that examined stocking rate effects on average daily gain (ADG) and body condition of steers grazing a mixture of rye (Secale cereale L.) and ryegrass (Lolium multiflorum L.). Breed type did not affect (P \u3e 0.10) final or increases in EF, and curvilinear trends of increased EF with increasing ADG (P \u3e 0.10) among the breed types over the range of ADG (0.03 kg d-1 to 1.62 kg d-1). The three breed types showed curvilinear increases in LDA as ADG increased, but the trends were different (P \u3c 0.05) for SBH than for the other two types. Final LDA and magnitude of increases in EF and LDA over the experimental period were influenced (P \u3c 0.05) by initial body weight. Results indicated that allotting cattle to pastures based on a combination of breed type and body weight should improve precision in detecting treatment effects
Event-driven simulation in SELMON: An overview of EDSE
EDSE (event-driven simulation engine), a model-based event-driven simulator implemented for SELMON, a tool for sensor selection and anomaly detection in real-time monitoring is described. The simulator is used in conjunction with a causal model to predict future behavior of the model from observed data. The behavior of the causal model is interpreted as equivalent to the behavior of the physical system being modeled. An overview of the functionality of the simulator and the model-based event-driven simulation paradigm on which it is based is provided. Included are high-level descriptions of the following key properties: event consumption and event creation, iterative simulation, synchronization and filtering of monitoring data from the physical system. Finally, how EDSE stands with respect to the relevant open issues of discrete-event and model-based simulation is discussed
Boron Fertilization Effects on Nutritive Parameters of Alfalfa
With early pre-plant incorporation of limestone to raise soil pH to 6.8 to 7.0, alfalfa (Medicago sativa L.) may be grown successfully on acid, Coastal Plain, sandy loam soils. Fertility and forage quality for hay and/or grazing require alternative management of alfalfa on these Coastal Plain soils. A two-year experiment evaluated alfalfa fertilized with three rates of boron to quantify effects on nutritive entities, especially fiber components. On a whole-plant basis in year 1, only crude protein was increased (P \u3c .05) at one of six harvest dates. In year 2, chemical analyses of leaf-stem components indicated consistent increases in crude protein of leaf fractions at each harvest (P \u3c .05), reduction in neutral detergent fiber at three harvest dates (P \u3c .06), and reduced lignin (P \u3c .07) at the final harvest. Stem sections were affected by rate of boron at only the June harvest with an increase in crude protein (P \u3c .05). Rate of boron fertilization had indirect effects on nutritive value (crude protein) by either delaying physiological maturity or enhancing nitrogen fixation in leaves, and had a direct negative effect on certain fiber components
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