Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis (Jan 2007)

A validation of algorithm practicability of the relative synthetic raw milk quality indicator (SQSM) for consistent modification of farmer price

  • Oto Hanuš,
  • Libor Janů,
  • Marcela Vyletělová,
  • Antonín Macek

DOI
https://doi.org/10.11118/actaun200755050071
Journal volume & issue
Vol. 55, no. 5
pp. 71 – 82

Abstract

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This paper is focused on validation of new synthetic raw cow milk quality indicator which was calculated according to previously developed algorithm. The aim was to carry out a synthesis of values of individual milk quality indicators (MQIs) into one standardized relative milk quality indicator (SQSM). This is useable for farmer milk price modification according to milk quality in dependence on its change in every case. It is a possible ground for consistent milk payment according to its quality. This work is fifth step in the row of works. It is carried out in terms of next promotion of the milk foodstuff chain safety and for the improvement of the ability of the dairy production branch for the competition. SQSM was calculated according to formula as follows: DX = (IND – x)/sx, where: IND is individual value of MQI of supplier, x is month arithmetical average of MQI of relevant milk suppliers including IND and sx its standard deviation; SQSM is the sum of logically oriented (according to milk quality growth) DXs, which come from relevant MQIs of identical raw milk delivery; SQSM as sum can be also divided by the number of MQIs. It means, there are possible two kinds of expressions of SQSM, sum (a) and/or average (p). The values of MQIs were used in original (compositional and physical MQIs) or transformed (log; hygienic MQIs) form according to previous research results. Three, five and seven MQIs and single, double and threefold values of their technological weight were included into model validation as price formula. Thirteen variants (p and a) of price formula were used, too. The behaviour of p and a model variants was similar. All SQSM averages and medians were very near zero value. The normality of SQSM files was reached (P > 0.05) sometimes in obliquenes (a3) which is more important in this case. The normality was not reached in acuteness (a4). The SQSM model files were quite well balanced in terms of positive and negative values. All model combination differences (p) between variants were insignificant (calculated F 1.76×10 – 18, where P > 0.999; critical F 1.75 for P ≤ 0.05). The difference insignificance was independent both on number of MQIs and on their technological preference as well. The results of SQSM validation showed the suitability of indicator usage for intended purpose of consistent milk price modification according to every milk quality change.

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