Use of quali-quantitative feeding practices criteria in typology of smallholders’ dairy production systems

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Abstract

ABSTRACT This study aimed to typify smallholders’ dairy systems using quali-quantitative measures of feeding practices and detect the main discriminatory elements identifying the systems. We collected data from 30 farms distributed in 10 municipalities in the eastern region of Rio Grande do Sul, Brazil, using a survey with semi-structured questions, in addition to bimonthly observations of milking and feeding practices. Multivariate analysis based on principal factors and cluster analysis were performed. Multiple linear regressions were made between the principal factors scores and variables of milk production and composition. Three principal factors with eigenvalues ≥1.0 explained 58.9% of the total variance. The original variables with the highest factor loading values were production scale and feeding practices involving greater quantities of byproducts; use of corn silage and sugarcane; and commercial and farm-made concentrate for principal factor 1, principal factor 2, and principal factor 3, respectively. Milk yield and concentrations of lactose and solids non-fat increased linearly with principal factor 1 and principal factor 3 but decreased linearly with principal factor 2. Observations were grouped into three clusters. Farm area and quantity of corn silage and byproducts were the most important variables to set the clusters. The use of quali-quantitative feeding practices criteria to characterize dairy systems is effective to identify the opportunities for improving milk production and composition. Whereas high inclusion of sugarcane as roughage was detrimental for milk production, moderate supply of concentrate and byproducts enhanced milk yield without compromising milk composition.

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S Korver, Maite Huis in ‘t Veld, H. Bovenhuis (1992)

Associations between milk protein genotypes and milk production traits were estimated from 6803 first lactation records. Exact tests of associated hypotheses and unbiased estimates of genotype effects were from an animal model. Milk protein genotype effects were estimated using a model in which each milk protein gene was analyzed separately (single-gene analysis) and a model in which all milk protein genes were analyzed simultaneously (multigene analysis). The results of the two models indicate that some effects ascribed to certain milk protein genes in the single-gene analysis are not effects of the milk protein gene itself but of linked genes. Results from this study and from literature indicate that the kappa-casein gene or a very closely linked gene affects protein percentage, and the beta-lactoglobulin gene or a very closely linked gene affects fat percentage. Furthermore, effects of beta-casein genotypes on milk production, fat percentage, and protein yield were significant, and beta-lactoglobulin genotypes had significant effects on milk production and protein yield. It is less clear whether those effects are due to effects of milk protein genes themselves or to effects of linked genes.