Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures
ABSTRACT The objective of this study was to simulate total dry matter intake and cost of diets optimized by nonlinear programming to meet the nutritional requirements of dairy does and growing doelings. The mathematical model was programmed in a Microsoft Excel(r) spreadsheet. Increasing values of body mass and average daily weight gain for growing doelings and increasing body mass values and milk yield for dairy does were used as inputs for optimizations. Three objective functions were considered: minimization of the dietary cost, dry matter intake maximization, and maximization of the efficiency of use of the ingested crude protein. To solve the proposed problems we used the Excel(r) Solver(r) algorithm. The Excel(r) Solver(r) was able to balance diets containing different objective functions and provided different spaces of feasible solutions. The best solutions are obtained by least-cost formulations; the other two objective functions, namely maximize dry matter intake and maximize crude protein use, do not produce favorable diets in terms of costs.
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Digital revista |
| Language: | English |
| Published: |
Sociedade Brasileira de Zootecnia
2016
|
| Online Access: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982016000200071 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
oai:scielo:S1516-35982016000200071 |
|---|---|
| record_format |
ojs |
| spelling |
oai:scielo:S1516-359820160002000712016-02-23Simulation of diets for dairy goats and growing doelings using nonlinear optimization proceduresGlória,Leonardo SiqueiraAbreu,Matheus Lima CorrêaRocha,Norberto SilvaOliveira,Tadeu Silva deGomes,Raphael dos SantosRohem Júnior,Nardele MorenoBendia,Laila Cecília RamosFernandes,Alberto Magno decision support system diet formulation diet optimization goat nutrition ABSTRACT The objective of this study was to simulate total dry matter intake and cost of diets optimized by nonlinear programming to meet the nutritional requirements of dairy does and growing doelings. The mathematical model was programmed in a Microsoft Excel(r) spreadsheet. Increasing values of body mass and average daily weight gain for growing doelings and increasing body mass values and milk yield for dairy does were used as inputs for optimizations. Three objective functions were considered: minimization of the dietary cost, dry matter intake maximization, and maximization of the efficiency of use of the ingested crude protein. To solve the proposed problems we used the Excel(r) Solver(r) algorithm. The Excel(r) Solver(r) was able to balance diets containing different objective functions and provided different spaces of feasible solutions. The best solutions are obtained by least-cost formulations; the other two objective functions, namely maximize dry matter intake and maximize crude protein use, do not produce favorable diets in terms of costs.info:eu-repo/semantics/openAccessSociedade Brasileira de ZootecniaRevista Brasileira de Zootecnia v.45 n.2 20162016-02-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982016000200071en10.1590/S1806-92902016000200005 |
| institution |
SCIELO |
| collection |
OJS |
| country |
Brasil |
| countrycode |
BR |
| component |
Revista |
| access |
En linea |
| databasecode |
rev-scielo-br |
| tag |
revista |
| region |
America del Sur |
| libraryname |
SciELO |
| language |
English |
| format |
Digital |
| author |
Glória,Leonardo Siqueira Abreu,Matheus Lima Corrêa Rocha,Norberto Silva Oliveira,Tadeu Silva de Gomes,Raphael dos Santos Rohem Júnior,Nardele Moreno Bendia,Laila Cecília Ramos Fernandes,Alberto Magno |
| spellingShingle |
Glória,Leonardo Siqueira Abreu,Matheus Lima Corrêa Rocha,Norberto Silva Oliveira,Tadeu Silva de Gomes,Raphael dos Santos Rohem Júnior,Nardele Moreno Bendia,Laila Cecília Ramos Fernandes,Alberto Magno Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures |
| author_facet |
Glória,Leonardo Siqueira Abreu,Matheus Lima Corrêa Rocha,Norberto Silva Oliveira,Tadeu Silva de Gomes,Raphael dos Santos Rohem Júnior,Nardele Moreno Bendia,Laila Cecília Ramos Fernandes,Alberto Magno |
| author_sort |
Glória,Leonardo Siqueira |
| title |
Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures |
| title_short |
Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures |
| title_full |
Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures |
| title_fullStr |
Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures |
| title_full_unstemmed |
Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures |
| title_sort |
simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures |
| description |
ABSTRACT The objective of this study was to simulate total dry matter intake and cost of diets optimized by nonlinear programming to meet the nutritional requirements of dairy does and growing doelings. The mathematical model was programmed in a Microsoft Excel(r) spreadsheet. Increasing values of body mass and average daily weight gain for growing doelings and increasing body mass values and milk yield for dairy does were used as inputs for optimizations. Three objective functions were considered: minimization of the dietary cost, dry matter intake maximization, and maximization of the efficiency of use of the ingested crude protein. To solve the proposed problems we used the Excel(r) Solver(r) algorithm. The Excel(r) Solver(r) was able to balance diets containing different objective functions and provided different spaces of feasible solutions. The best solutions are obtained by least-cost formulations; the other two objective functions, namely maximize dry matter intake and maximize crude protein use, do not produce favorable diets in terms of costs. |
| publisher |
Sociedade Brasileira de Zootecnia |
| publishDate |
2016 |
| url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982016000200071 |
| work_keys_str_mv |
AT glorialeonardosiqueira simulationofdietsfordairygoatsandgrowingdoelingsusingnonlinearoptimizationprocedures AT abreumatheuslimacorrea simulationofdietsfordairygoatsandgrowingdoelingsusingnonlinearoptimizationprocedures AT rochanorbertosilva simulationofdietsfordairygoatsandgrowingdoelingsusingnonlinearoptimizationprocedures AT oliveiratadeusilvade simulationofdietsfordairygoatsandgrowingdoelingsusingnonlinearoptimizationprocedures AT gomesraphaeldossantos simulationofdietsfordairygoatsandgrowingdoelingsusingnonlinearoptimizationprocedures AT rohemjuniornardelemoreno simulationofdietsfordairygoatsandgrowingdoelingsusingnonlinearoptimizationprocedures AT bendialailaceciliaramos simulationofdietsfordairygoatsandgrowingdoelingsusingnonlinearoptimizationprocedures AT fernandesalbertomagno simulationofdietsfordairygoatsandgrowingdoelingsusingnonlinearoptimizationprocedures |
| _version_ |
1756422405667946496 |