58,157 research outputs found
A Nutrition mathematical model to account for dietary supply and requirements of energy and other nutrients for domesticated small ruminants: the development and evaluation of the Small Ruminant Nutrition System
No full textA mechanistic model that predicts nutrient requirements and biological values of feeds for sheep (Cornell Net Carbohydrate and Protein System; CNCPS-S) was expanded to include goats and the name was changed to the Small Ruminant Nutrition System (SRNS). The SRNS uses animal and environmental factors to predict metabolisable energy (ME) and protein, and Ca and P requirements. Requirements for goats in the SRNS are predicted based on the equations developed for CNCPS-S, modified to account for specific requirements of goats, including maintenance, lactation, and pregnancy requirements, and body reserves. Feed biological values are predicted based on carbohydrate and protein fractions and their ruminal fermentation rates, forage, concentrate and liquid passage rates, and microbial growth. For sheep, the SRNS accurately predicted gains and losses of shrunk body weight (SBW) of adult sheep (n = 15; mean bias (MB) = 5.8 g/d and root mean square error of prediction (RMSPE) = 30 g/d; and r2 = 0.73) when diets were not deficient in ruminal nitrogen. Several evaluations indicated the SRNS had MB varying from 2.4 to 18 g/d, RMSPE varying from 21.4 to 41 g/d, and r2 varying from 0.70 to 0.84 when predicting average daily gain (ADG) of growing lambs. For goats, the evaluation for lactating does indicated that predictions of ME intake (n = 21; MB = 0.04 Mcal/d; RMSEP = 0.24 Mcal/d; and r2 = 0.99) and energy balance (n = 21; MB = 0.075 Mcal/d; RMSEP = 0.20 Mcal/d; and r2 = 0.87) were adequate. Similarly, the SRNS accurately predicted ADG of kids (n = 31; MB = −6.4 g/d; RMSEP = 32.5 g/d; and r2 = 0.85). In conclusion, the SRNS can accurately predict, ADG of growing lambs, and changes in SBW of mature sheep and ME intake and the energy balance of lactating and non-lactating adult goats and the ADG of kids of dairy, meat, and indigenous breeds. The SRNS model is available at http://nutritionmodels.tamu.e
An Economic Evaluation of a Pest Management Control Program: "Outfox the Fox"
No full textFoxes are regarded as a serious pest of environmental and grazing systems in Australia. The fox is a recognised predator of native wildlife and has been a significant contributor to the population decline of many native mammal, bird and reptile species. There are also claims that foxes may account for up to 30% of lamb mortalities in some areas, while mortality due to predation of 2 to 5% is more likely in most regions. The ‘Outfox the Fox’ program was established by NSW Agriculture in conjunction with a number of Rural Land Protection Boards to achieve a more strategic and coordinated fox baiting program. This program relies on a community driven and integrated management approach to the problem. The main features are to synchronise baiting across landholders at least twice a year, undertake baiting during periods when the fox is most susceptible, regularly check and replace baits, and continue until the bait take declines. A stochastic economic surplus and benefit-cost analysis model was developed to evaluate this program. The change in annual economic surplus due to the ‘Outfox the Fox’ program was 9.8m and a mean benefit-cost ratio of 13.0:1. The stochastic analysis indicated that there was a very low probability of this program providing a negative economic return.benefit cost analysis, research evaluation, economic surplus, fox, Farm Management, Land Economics/Use, Livestock Production/Industries, Production Economics, Research and Development/Tech Change/Emerging Technologies, Q160,
The Small Ruminant Nutrition System: development and evaluation of a goat submodel
No full textThe Small Ruminant Nutrition System (SRNS) is a computer model based on the structure of the
Cornell Net Carbohydrate and Protein System for Sheep.A version of the SRNS for goats is under development and
evaluation. In the SRNS for goats, energy and protein requirements are predicted based on the equations developed
for the SRNS for sheep, modified to account for specific requirements of goats. Feed biological values are predicted
based on carbohydrate and protein fractions and their ruminal degradation rates, on forage, concentrate and
liquid passage rates, on microbial growth, and on physically effective fiber. The evaluation of the SRNS for goats
based on literature data showed that the SRNS accurately predicted the ADG of kids (RMSEP = 32.5 g/d; r2= 0.85;
CCC = 0.91), and the daily MEI (RMSEP = 0.24 Mcal/d g/d; r2= 0.99; CCC = 0.99) and the energy balance (RMSEP
= 0.20 Mcal/d g/d; r2= 0.87; CCC = 0.90) of goats
A Mechanistic model for predicting the nutrient requirements and feed biological values for sheep
No full textThe Cornell Net Carbohydrate and Protein System (CNCPS), a mechanistic model that predicts nutrient requirements and biological values of feeds for cattle, was modified for use with sheep. Published equations were added for predicting the energy and protein requirements of sheep, with a special emphasis on dairy sheep, whose specific needs are not considered by most sheep-feeding systems. The CNCPS for cattle equations that are used to predict the supply of nutrients from each feed were modified to include new solid and liquid ruminal passage rates for sheep, and revised equations were inserted to predict metabolic fecal N. Equations were added to predict fluxes in body energy and protein reserves from BW and condition score. When evaluated with data from seven published studies (19 treatments), for which the CNCPS for sheep predicted positive ruminal N balance, the CNCPS for sheep predicted OM digestibility, which is used to predict feed ME values, with no mean bias (1.1 g/100 g of OM; P > 0.10) and a low root mean squared prediction error (RMSPE; 3.6 g/100 g of OM). Crude protein digestibility, which is used to predict N excretion, was evaluated with eight published studies (23 treatments). The model predicted CP digestibility with no mean bias (-1.9 g/100 g of CP; P > 0.10) but with a large RMSPE (7.2 g/100 g of CP). Evaluation with a data set of published studies in which the CNCPS for sheep predicted negative ruminal N balance indicated that the model tended to underpredict OM digestibility (mean bias of -3.3 g/100 g of OM, P > 0.10; RMSPE = 6.5 g/100 g of OM; n = 12) and to overpredict CP digestibility (mean bias of 2.7 g/100 g of CP, P > 0.10; RMSPE = 12.8 g/100 g of CP; n = 7). The ability of the CNCPS for sheep to predict gains and losses in shrunk BW was evaluated using data from six studies with adult sheep (13 treatments with lactating ewes and 16 with dry ewes). It accurately predicted variations in shrunk BW when diets had positive N balance (mean bias of 5.8 g/d; P > 0.10; RMSPE of 30.0 g/d; n = 15), whereas it markedly overpredicted the variations in shrunk BW when ruminal balance was negative (mean bias of 53.4 g/d, P < 0.05; RMSPE = 84.1 g/d; n = 14). These evaluations indicated that the Cornell Net Carbohydrate and Protein System for Sheep can be used to predict energy and protein requirements, feed biological values, and BW gains and losses in adult sheep
25.00 for the capture of the thief and recovering of goods taken from my home
No full text25.00 for the capture of the thief an recovering of goods taken from my house on the night of the 5th., of Nov., 1896. 10.00 reward for the capture of the thief alone. The goods consist of 150 pocketknives of the following brands: Fox Patented tempered, made by Kealler & Smidt1 Non., X L, and Diamond edge made by A. F. Shafleigh & Co. Pistols are one 41 Colts, No. 103081, blued; one 38 Caliber S. & W. No. 337831, bright, one 38 S. & W. No. 346348, blued. 10 or 12 pistols of the Thames, Harrison & Richardson, Forehand & Wadsworth brands.
Address, G. D. Henslef.
Celest, Texas
U.S. President Donald Trump calls in to "Fox & Friends" to talk about various topics
No full textPresident Donald Trump calls in to "Fox & Friends" to talk about French President Macron's visit, the Iran agreement, and to blame Senator John Tester (D-MT) for derailing his nominee to lead the Veterans Administration. Trump also talks about the 2016 election, former FBI Director James Comey, Hillary Clinton and CNN
Pseudomys pilligaensis Fox and Briscoe 1980
No full textPseudomys pilligaensis Fox and Briscoe, 1980. Aust. Mamm., 3:112. TYPE LOCALITY: Australia, New South Wales, Merriwindi State Forest, 3 km west of Pilliga-Baradine Road., Cumberdeen Road (Fox and Briscoe, 1980, provided additional information). DISTRIBUTION: Australia, N New South Wales, collected from a few localities within the Pilliga Scrub (see map in Fox and Briscoe, 1980:119). STATUS: IUCN - Indeterminate. COMMENTS: Chromosomal morphology described by Fox and Briscoe (1980). Morphological and electrophoretic data supported a close phylogenetic relationship of P. pilligaensis to P. delicatulus and P. novaehollandiae (Briscoe et al., 1981), which was reinforced by spermatozoal morphology (Breed, 1983).Published as part of Guy G. Musser & Michael D. Carleton, 1993, Order Rodentia - Family Muridae, pp. 501-755 in Mammal Species of the World (2 nd Edition), Washington and London :Smithsonian Institution Press on page 648, DOI: 10.5281/zenodo.735309
Environmental disturbance and animal communication
No full textThis chapter describes how human impacts alter animal communication. It addresses the ecological and evolutionary consequences of altered animal communication, and emphasizes on their effects in animal behaviour. It investigates how animals utilize social signals in performing daily tasks, and examines the influence of anthropogenic communication disturbance regarding survival patterns, change in the magnitude and direction of natural and sexual selection, and impingement of basic evolutionary processes like reproductive isolation and hybridization. It looks into some of the processes of disturbance that reduces the efficacy of communication such as weakening the signal production, distorting or attenuating signals as they travel to the receiver, or hampering perception. It also highlights certain environmental changes that can modify distribution of signals
Development of a management practicum in a clinical psychology program
No full textSome clinical psychology programs are developing training in management in response to both the recognition that management is a major professional role for many psychologists (Clements, Rickard, & Kleinot, 1986) and the National Council of Schools of Professional Psychology’s (NCSPP) inclusion of “supervision and management” as one of six competency areas for the core curriculum in professional psychology (Peterson, R. L., McHolland, J. D., Bent, R. J., Davis-Russell, E., Edwall, G. E., Polite, K., Singer, D. L., & Stricker, G., 1991). At the Graduate School of Clinical Psychology at George Fox University (Newberg, OR), we developed a management practicum to facilitate specific and advanced training of selected doctoral students in this competency area. In this article, we compare and contrast our program with the one developed at West Virginia University (WVU), described in a previous article in this journal
WES Faculty
No full textWES Faculty, left to right: D. Rose, H. Mueller, G. Dillon, M. Warrenhttps://digitalcommons.georgefox.edu/wes_images/1003/thumbnail.jp
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