Optimization of production parameter and application of glycoprotein produced from Sphingobacterium thalpophilum DP9

2021 ◽  
Author(s):  
Dhaval Patel ◽  
Jyoti Solanki ◽  
Snehal Ingale ◽  
M. Nataraj
Keyword(s):  
Production Parameter

scholarly journals Effect of Artificial Insemination on different production parameter in Hubbard classic broiler parent stock

2016 ◽  
Vol 13 (1) ◽  
pp. 71-77 ◽  
Author(s):  
M Habibullah ◽  
MA Hashem ◽  
MS Rana ◽  
MH Islam
Keyword(s):  
Body Weight ◽  
Birth Weight ◽  
Artificial Insemination ◽  
Significant Variation ◽  
Health Condition ◽  
Production Parameter ◽  
Broiler Breeder ◽  
Experimental Animals ◽  
Production Growth ◽  
Parent Stock

The experiment was conducted to determine the effect of artificial insemination (AI) on different production parameter in Hubbard Classic Broiler breeder parent stock. A total number of 300 female and 30 male Hubbard Classic broiler breeder parent stock birds were used as experimental animals and parameter recorded are: Health condition and body weight of birds, % of Production, % Hatchability,% Uniformity, grade A chicks, mortality % , hatching egg % & effect of diluents use, birth weight of day old chick (DOC). Significant variation (p<0.01) was observed in number of hatched birds, % of hatchability, production of total no of Grade A chicks, total number of damaged chicks and average chick weight. In the study, hatchability (%), production (%), growth and puberty weight (g) were significantly higher during post insemination compared to pre insemination stage, where as mortality (%) and uniformity (%) were significantly lower in case of post insemination stage. Body weight and uniformity (%) of birds either both sexes were significantly (p<0.01) different in birds at pre insemination stage compared to the birds at insemination. To be mentioned that body weight of birds was negatively correlated to the uniformity. Finally it could be concluded that AI may be better in all the parameters observed in this study than natural mating. So, AI can be practiced in Hubbard Classic broiler breeder parent stock.J. Bangladesh Agril. Univ. 13(1): 71-77, June 2015

Production parameter optimization for laccases byAspergillus niger

2014 ◽  
Vol 2 (3and4) ◽  
pp. 179 ◽  
Author(s):  
Priyam Vandana ◽  
Harison Masih ◽  
Yashab Kumar ◽  
Ajay Kumar Singh ◽  
Jyotsna Kiran Peter
Keyword(s):  
Parameter Optimization ◽  
Production Parameter

Optimizing operations in 3‐D land seismic surveys

Geophysics ◽  
2001 ◽  
Vol 66 (6) ◽  
pp. 1818-1826 ◽  
Author(s):  
Douglas J. Morrice ◽  
Astrid S. Kenyon ◽  
Christian J. Beckett
Keyword(s):  
Minimum Cost ◽  
Seismic Survey ◽  
Production Parameter ◽  
Microsoft Excel ◽  
Trade Off ◽  
Seismic Surveys ◽  
Total Cost ◽  
Decision Variables ◽  
Conduct Sensitivity Analysis ◽  
Operational Constraints

We formulate and solve a mathematical programming optimization model to find a minimum cost solution for an orthogonal split‐spread design in a 3‐D land seismic survey. The model contains decision variables on source and receiver location spacings, the amount of receiver equipment, and the production rate of the seismic crews. The model includes operational constraints for source and receiver movements. It also includes geophysical constraints for fold coverage, offset, and azimuth. To demonstrate the efficacy of the model, we include an example and solve it using the nonlinear optimization solver in Microsoft Excel. The model results demonstrate the classic trade‐off between source and receiver points to satisfy the geophysical requirements. In addition, we conduct sensitivity analysis on an important production parameter: the maximum number of source points that can be shot per day. We show that although changes to this parameter do not impact the decision variables, such changes do have a significant effect on the total cost of the survey.

Study of sire selection in view of genetic relation involving fitness traits in Malpura sheep in an organized farm of Rajasthan, India

2017 ◽  
Author(s):  
Govind Mohan ◽  
G. R. Gowane ◽  
Arun Kumar ◽  
A. K. Chakravarthy
Keyword(s):  
Sex Ratio ◽  
Production Parameter ◽  
Replacement Rate ◽  
Genetic Relation ◽  
Production Parameters ◽  
Fitness Traits ◽  
Adaptive Value ◽  
Total Female ◽  
Selection Of ◽  
Sire Selection

The genetics of fitness traits, viz. replacement rate (RR) and selective value (SV) were studied in the flock of Malpura Sheep along the production parameters of the animals. The study was carried out on 10 years records for 2307 lambing sired by 187 sires. Sire wise incidence of replacement traits was as follows: abnormal birth (0.30%), sex ratio (49.98%), mortality (17.26%), culling (15.37%), RR on total lamb basis (33.98%) and RR on female lamb basis (68.44%). The selective value or adaptive value for the flock was 1.37. Sire did not affect abnormal birth, mortality, culling and SV significantly, whereas sire significantly affected sex ratio, and RR on total female lambs born basis. Ranking of the sires for selective value was incoherent with the ranking for production parameters such as age at first service, age at first lambing, weight at first service, productive flock life and longevity. Study indicated that the selection of sires for SV would not bring desired correlated change on any of the production parameter of the animals.

A structural optimization design for an aluminum-intensive vehicle

2003 ◽  
Vol 217 (9) ◽  
pp. 771-779 ◽  
Author(s):  
Dong-Chan Lee ◽  
Jeong-Ick Lee
Keyword(s):  
Structural Optimization ◽  
Optimization Design ◽  
Joint Stiffness ◽  
Optimization Procedure ◽  
Steel Structure ◽  
Torsional Stiffness ◽  
Production Parameter ◽  
Parameter Region ◽  
Vehicle Structure ◽  
Structural Responses

This paper describes an integrated structural optimization procedure using a multilevel decomposition technique and a domain mapping contour that can represent the production parameter region. At the upper level, the structural responses are represented in terms of global quantities, i.e. stiffness, stresses and weight. At the lower level, the structural responses are represented in terms of local quantities, i.e. the intermediate parameters or the detailed dimensions based on the production parameter region. This technique was applied to develop the aluminium vehicle structure. The crosssectional characteristics and joint stiffness of the vehicle structure are calculated from the vehicle structure model which is composed of shell-beam-spring elements. In comparison with the base model (steel structure), the bending stiffness and torsional stiffness of the developed aluminium vehicle structure increase by around 45 and 35 per cent respectively, and the weight reduction is around 30 per cent. The manufactured structure is also presented.

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