Estimation of Gain Isoquants and a Decision Model Application for Swine Production

Sonka, Steven T.; Heady, Earl O.; Dahm, P.

doi:10.2307/1239263

Cited by 13 publications

(7 citation statements)

References 5 publications

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“…When examined according to the maturity stage of a pig of given genotype, the optimal precision feeding pattern is generally in line with the results of previous studies (Dent et al 1970, Sonka et al 1976, Glen 1983, Chavas et al 1985. The degree of adjustment during the fattening period is, however, larger in this study than in similar studies.…”

Section: Management Implicationssupporting

confidence: 90%

“…These results, however, do not permit the construction of a continuous growth curve. Sonka et al (1976), observed a similar change in the feeding pattern as the pig grows. They estimated that the optimal share of protein in the diet varies between 12-18% depending on the growth stage of the animal as well as on input prices.…”

Section: Choosing the Optimal Feeding Patternsmentioning

confidence: 63%

“…From an economic point of view, price ratios of inputs and outputs largely determine the optimality of feeding and slaughter decisions for a given production technology (Dent et al 1970, Sonka et al 1976, Jolly et al 1980, Glen 1983, Chavas et al 1985, Broekmans 1992, Rydstedt and Andersson 1993, Kure 1997, Boland et al 1999. The factors affecting the optimal pig production management patterns include price adjustments that depend on carcass weight and leanness (Boland et al 1993).…”

Section: Niemi Jk Optimising Feeding and Slaughter Decisions Regarmentioning

confidence: 99%

“…Several models based on such detailed or simplified biological understanding of pig growth have been developed (e.g. Sonka et al 1976, Whittemore and Fawcett 1976, Glen 1983, Chavas et al 1985, Black et al 1986, Emmans 1995, Sevón-Aimonen 2001, Lizardo et al 2002.…”

Section: Production and Cost Functionsmentioning

confidence: 99%

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A dynamic programming model for optimising feeding and slaughter decisions regarding fattening pigs

Niemi¹

2006

AFSci

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Costs of purchasing new piglets and of feeding them until slaughter are the main variable expenditures in pig fattening. They both depend on slaughter intensity, the nature of feeding patterns and the technological constraints of pig fattening, such as genotype. Therefore, it is of interest to examine the effect of production technology and changes in input and output prices on feeding and slaughter decisions. This study examines the problem by using a dynamic programming model that links genetic characteristics of a pig to feeding decisions and the timing of slaughter and takes into account how these jointly affect the quality-adjusted value of a carcass. The state of nature and the genotype of a pig are known in the analysis. The results suggest that producer can benefit from improvements in the pigs genotype. Animals of improved genotype can reach optimal slaughter maturity quicker and produce leaner meat than animals of poor genotype. In order to fully utilise the benefits of animal breeding, the producer must adjust feeding and slaughter patterns on the basis of genotype. The results also suggest that the producer can benefit from flexible feeding technology. Typically, such a technology provides incentives to feed piglets with protein-rich feed. When the pig approaches slaughter maturity, the share of protein-rich feed in the diet gradually decreases and the amount of energy-rich feed increases. Generally, the optimal slaughter weight is within the weight range that pays the highest price per kilogram of pig meat. The optimal feeding pattern and the optimal timing of slaughter depend on price ratios. Particularly, an increase in the price of pig meat provides incentives to increase the growth rates up to the pigs biological maximum by increasing the amount of energy in the feed. Price changes and changes in slaughter premium can also have large income effects.;

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Section: Management Implicationssupporting

confidence: 90%

Section: Choosing the Optimal Feeding Patternsmentioning

confidence: 63%

Section: Niemi Jk Optimising Feeding and Slaughter Decisions Regarmentioning

confidence: 99%

Section: Production and Cost Functionsmentioning

confidence: 99%

See 2 more Smart Citations

A dynamic programming model for optimising feeding and slaughter decisions regarding fattening pigs

Niemi¹

2006

AFSci

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“…See Perrin (1972) for further extensions of the importance of the time variable in the decision process. For a different approach using time in production functions, swine analyses are presented by Dahm et al (1976) and Sonka et al (1976). These authors implicitly incorporate time in their production functions.…”

Section: Methodsmentioning

confidence: 99%

Economic Analyses of the Reproductive Performance of Turkeys Under Certain Environmental Conditions

1980

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Economic analyses of the reproductive performance, feed consumption, and body weight of turkeys in different environments (Thomason et a!., 1977(Thomason et a!., , 1978, when explicitly considering the opportunity cost of time, showed that 1) environmental temperatures between 21 and 23 C yield optimum returns to the fixed resources when temperature control was included in the cost of fixed resources; 2) females from unselected egg production stock maintained in individual laying cages yielded greater returns than those in litter-floor pens. 3) females maintained on conventional litter floors yielded greater returns than those maintained in laying cages when selected high egg production lines of turkeys were used; 4) replacing hens on a 3.34 month cycle may be optimal in a year-round breeder operation using unselected egg laying stock; 5) a replacement cycle of 6.36 months may be optimal in a year round breeder operation with selected eggproduction stock.The methodology of analyses is presented which may be applicable to other research data.

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Bibliography

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Estimation of Gain Isoquants and a Decision Model Application for Swine Production

Cited by 13 publications

References 5 publications

A dynamic programming model for optimising feeding and slaughter decisions regarding fattening pigs

A dynamic programming model for optimising feeding and slaughter decisions regarding fattening pigs

Economic Analyses of the Reproductive Performance of Turkeys Under Certain Environmental Conditions

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