Notice of Retraction: The decision-making for feed formula in animal husbandry breeding based on the revised simplex method

Author(s):  
Yan Peng ◽  
Qiyang Li
2020 ◽  
Vol 7 (1) ◽  
pp. 009-012
Author(s):  
Rashmi Chaudhary ◽  
◽  
Yasmin Janjhua ◽  
Avineet ◽  
Krishan Kumar ◽  
...  

Women make essential contributions to agriculture and rural economic activities in all developing countries. Even though women contribute 60 to 80% of the labour in agriculture and animal husbandry, their involvement in selection of suitable crops and adoption of innovative and good management practices is very low. The study reported that sampled women respondents have shown participation in all the selected agriculture and livestock activities excluding marketing and financial management. The study put forth that very less households witness female participation in agriculture and livestock activities related decision making. Some of the important reasons for their subdued role in decision making in agricultural production could be lack of awareness about new opportunities and modern technologies, inadequate facilities for training and capacity building and poor access to extension workers for consultation whenever needed.


Author(s):  
Y. Wang ◽  
E. Sandgren

Abstract A new linear programming algorithm is proposed which has significant advantages compared to the traditional simplex method. The search direction generated which is always along a common edge of the active constraint set, is used to locate candidate constraints, and can be used to modify the current basis. The dimension of the basis begins at one and dynamically increases but remains less than or equal to the number of design variables. This is true regardless of the number of inequality constraints present including upper and lower bounds. The proposed method can operate equally well from a feasible or infeasible point. The pivot operation and artificial variable strategy of the simplex method are not used. Examples are presented and results are compared with a traditional revised simplex method.


Author(s):  
P. K. Mallick ◽  
A. K. Ghosh ◽  
A. S. Rajendiran

The effectiveness of sire evaluation is the backbone of any breed improvement programme as much as 61% of genetic gain in dairy cattle results from selection of sires through “bulls to breed cows” and “bulls to breed bulls” path. The application of latest and simplex method of sire evaluation like BLUPF90 in Indian breeds is scanty. The present investigation was planned to evaluate the Red Sindhi sires by this method and to compare the effectiveness of BLUPF90 method with other conventional methods of sire evaluation in Red Sindhi cattle. The records of production and reproduction performances of first lactation traits of 717 Red Sindhi cows, progeny of 58 sires, spread over a period of 40 years (1966-2005) from CCBF, Chiplima, Orissa under the control of Department of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture, Government of India and CBF, Kalsi, Deheradun, Uttarakhand were analyzed. The present study was single and multi-trait evaluation of breeding values of Red Sindhi sires. The overall least squares population mean for first lactation milk yield (FLMY) was 1536.35±54.87 kg. The average breeding value of sires of single trait from different methods ranged from 1536.35 kg (LSM, DFREML and BLUPF90-Dairy Pack) to 1588.50 kg (simple daughter average) but in multi-trait method the breeding value does not vary with each other. The comparison of different method of sire evaluation based on single trait for FLMY only shows that the DFREML model for single trait should be preferred over the BLUP, LSM and simple daughter average methods for evaluating the sire breeding value. However, if a sire-breeding value is to be computed from multi traits then BLUPF90 model may be preferred over DFREML model.


2017 ◽  
Vol 10 (1) ◽  
pp. 119-142 ◽  
Author(s):  
Q. Huangfu ◽  
J. A. J. Hall

1993 ◽  
Vol 13 (2) ◽  
pp. 67-73 ◽  
Author(s):  
James K Ho ◽  
R.P Sundarraj

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Reda M. S. Abdulaal ◽  
Omer A. Bafail

When decision-makers’ judgments are uncertain, they often express their opinions using grey linguistic variables. Once used, the data often retains its grey nature throughout all subsequent decision-making iterations. Multicriteria decision-making (MCDM) is a tool used when making complicated decisions and in circumstances where several criteria require evaluation to choose the most desirable option. Grey data serves as the basis for several MCDM methods. This paper compares two MCDM methods, Grey-Linear-Programming (GLP) and Grey-Best-Worst-Method (GBWM), in terms of the weights of decision criteria and their rankings. Moreover, Grey-The Technique for Order of Preference by Similarity to Ideal Solution (GTOPSIS) was used to rank the weights of the two methods. Study findings demonstrated that GBWM requires more mathematical calculations than GLP, based on linear programming's classic simplex method. On the other hand, when GTOPSIS follows GLP, the alternative rank does not change compared to when GTOPSIS followed GBWM. For the applications used in this comparison, GLP procedure is considered simpler than GBWM procedure.


Author(s):  
Shashi Kant Mishra ◽  
Bhagwat Ram

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