Análise econômica de esquemas alternativos de controle leiteiro

Cardoso, Victor José Mendes; Cassoli, Laerte Dagher; Guilhermino, Magda Maria; Machado, Paula Fontana; Nogueira, José Ramos; Freitas, María

doi:10.1590/s0102-09352005000100012

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…The costs of MR and reproduction varied from US$ 1.53 to US$ 8.70 million and US$ 1.27 to US$ 7.37 million, respectively, depending on number of herds being controlled. According to Cardoso et al. (2005), it is possible in practice to reduce milk‐recording costs by adopting larger milk‐recording intervals and/or monitoring smaller numbers of milkings, or even by depending on intermediate MR carried out by the farmer himself.…”

Section: Resultsmentioning

confidence: 99%

“…The components of MR assumed for PS and PT were the same as those proposed by Cardoso et al. (2005), in which daily manpower was equal to 25% of the minimum salary, the kilometres travelled represented 35% of the gas price (litre), and the mean distance travelled was 150 km.…”

Section: Methodsmentioning

confidence: 99%

“…The components of MR assumed for PS and PT were the same as those proposed by Cardoso et al (2005), in which daily manpower was equal to 25% of the minimum salary, the kilometres travelled (Table 3). The dairy buffalo production system in southeastern Brazil has been previously described by Seno et al (2006).…”

Section: Costs and Benefits Of Genetic Improvementmentioning

confidence: 99%

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Selection strategies for dairy buffaloes: economic and genetic consequences

Seno

Fernández

Cardoso

et al. 2012

J Animal Breeding Genetics

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Buffaloes are generally raised in Brazil without milk-recording programs, and thus without genetic evaluations of any of their traits. This study evaluated the economic impacts of three different selection strategies on buffalo populations and the evolution of genetic trends, genetic variances and inbreeding coefficients resulting from each of them. The selection strategies used were as follows: (i) random selection; (ii) phenotypic selection; and (iii) progeny testing (PT). As the numbers of herds enrolled in milk-recording programs increased, phenotypic selection and PT strategies increased both monetary benefits and genetic trends. The extra costs of implementing milk recording (MR) and PT procedures were exceeded by the income resulting from better buffalo performance. Progeny testing is known to result in beneficial genetic trends and the use of artificial insemination promoted better distributions of genetic material into herds that were not enrolled in milk-recording programs. Phenotypic selection and PT increased mean milk production--a key factor in profitability. Inbreeding levels remained stable with phenotypic selection, even as the numbers of MR herds increased. Increases in the numbers of sires that were evaluated reduced the mean inbreeding coefficient in PT. Increasing the number of herds enrolled in milk-recording programs resulted in increased numbers of sires needed for PT, but this did not increase the inbreeding coefficient. In summary, phenotypic selection and PT strategies appear to be economically viable for buffalo husbandry in south-eastern Brazil under current (2007-2008) economic conditions and should be encouraged.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Selection strategies for dairy buffaloes: economic and genetic consequences

Seno

Fernández

Cardoso

et al. 2012

J Animal Breeding Genetics

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“…On RS strategy there were not considered costs associated to dairy control, genetic evaluation and genotyping. Dairy control costs were just considered starting on strategy PS and it was composed by the technicians charge per day, being equal to 25% of the minimum salary used in Brazil; mileage, which corresponded to 35% of a liter of gas; and average distance covered to realize dairy control, equivalent to 150 km (Cardoso et al 2005).…”

Section: Methodsmentioning

confidence: 99%

Genomic selection in dairy cattle simulated populations

Seno

Guidolin

Aspilcueta-Borquis

et al. 2018

Journal of Dairy Research

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Genomic selection is arguably the most promising tool for improving genetic gain in domestic animals to emerge in the last few decades, but is an expensive process. The aim of this study was to evaluate the economic impact related to the implementation of genomic selection in a simulated dairy cattle population. The software QMSim was used to simulate genomic and phenotypic data. The simulated genome contained 30 chromosomes with 100 cm each, 1666 SNPs markers equally spread and 266 QTLs randomly designated for each chromosome. The numbers of markers and QTLs were designated according to information available from Animal QTL (http://www.animalgenome.org/QTLdb) and Bovine QTL (http://bovineqtl.tamu.edu/). The allelic frequency changes were assigned in a gamma distribution with alpha parameters equal to 0·4. Recurrent mutation rates of 1·0e-4 were assumed to apply to markers and QTLs. A historic population of 1000 individuals was generated and the total number of animals was reduced gradually along 850 generations until we obtained a number of 200 animals in the last generation, characterizing a bottleneck effect. Progenies were created along generations from random mating of the male and female gametes, assuming the same proportion of both genders. Than the population was extended for another 150 generations until we obtained 17 000 animals, with only 320 male individuals in the last generation. After this period a 25 year of selection was simulated taking into account a trait limited by sex with heritability of 0·30 (i.e. milk yield), one progeny/cow/year and variance equal to 1·0. Annually, 320 bulls were mated with 16 000 dams, assuming a replacement rate of 60 and 40% for males and females, respectively. Selection and discard criteria were based in four strategies to obtain the EBVs assuming as breeding objective to maximize milk yield. The progeny replaced the discarded animals creating an overlapping generation structure. The selection strategies were: RS is selection based on random values; PS is selection based on phenotypic values; Blup is selection based on EBVs estimated by BLUP; and GEBV is selection based on genomic estimated breeding values in one step, using high (GBlup) and low (GBlupi) density panels. Results indicated that the genetic evaluation using the aid of genomic information could provide better genetic gain rates in dairy cattle breeding programs as well as reduce the average inbreeding coefficient in the population. The economic viability indicators showed that only Blup and GBlup/GBlupi strategies, the ones that used milk control and genetic evaluation were economic viable, considering a discount rate of 6·32% per year.

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“…Thus, a significant part of the cows present in the genetic evaluation may have less than 10 milk test-day records per lactation. The local costs for carrying out the milk control are related to the transportation, food, and accommodation of the professional who performs the control, who must be paid by the breeder, which can vary between 6.6 to 17.0% of the net revenue of the property (Cardoso et al, 2005).…”

Section: Introductionmentioning

confidence: 99%