Milk production systems in Southern Brazil

Telles, Tiago Santos; Bacchi, Matheus Demambre; Costa, Gustavo Vaz da; Schuntzemberger, Amanda M.S.

doi:10.1590/0001-3765202020180852

Cited by 12 publications

(14 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Since the first half of the twentieth century, most of the agroindustries in Southern Brazil have been established in locations with a strong presence of family farming, for example, southwestern Paraná, western Santa Catarina and northwestern Rio Grande do Sul (Picoli et al, 2015). This region accounts for the largest portion of production in the South of the country, as found by Marion et al (2011) for Rio Grande do Sul, Fischer et al (2011) for Santa Catarina, Telles et al (2017) for Paraná and Telles et al (2020) for the South region.…”

Section: Moran's Imentioning

confidence: 97%

“…Some studies have been conducted to verify the spatial distribution of the main Brazilian macroregions or microregions that specialize in milk production; such studies have been conducted for the states of Minas Gerais (Lemos Galinari, Campos, Biasi, & Santos, 2003;Perobelli, Araújo, & Castro, 2018), Rio Grande do Sul (Marion, Fagundes, & Schumacher, 2011), Santa Catarina (Fischer, Santos, Sehnem, & Bernardi, 2011), and Paraná (Capucho & Parré, 2012;Lange et al, 2016;L. H. A. Silva, Camara, & Telles, 2016;Bánkuti, Caldas, Bánkuti, & Granco, 2017;Telles et al, 2017) and for the South region (Telles, Bacchi, Costa, & Schuntzemberger, 2020). In addition, although there are studies that have focused on characterizing the dynamics of specialization and on spatial distribution, these studies, for the most part, aim to analyze a specific large region or federation unit.…”

Section: Dairymentioning

confidence: 99%

“…A result that was higher than 1 unit indicated specialization of dairy activity in the analyzed region. The regions considered specialized in milk production had LQ values ≥ 1 (Telles et al, 2020).…”

Section: Location Quotient (Lq)mentioning

confidence: 99%

“…PCA was performed using Brazilian municipalities that specialized in milk production in 2016 by calculating the LQ, as in Telles et al (2020). PCA was used to combine the original variables with similar characteristics into components, as described in previous studies by Capucho and Parré (2012), Telles et al (2017Telles et al ( , 2020. In PCA, a linear combination of observed variables is sought to maximize the total variance explained.…”

Section: Pcamentioning

confidence: 99%

See 3 more Smart Citations

Spatio-temporal dynamics of milk production in Brazil

Bacchi

Almeida

Telles

2022

Semina: Ciênc. Agrár.

Self Cite

View full text Add to dashboard Cite

The milk production chain has relevance for the Brazilian economy, generating jobs and income. In addition, milk production, because of family-based farms, has an important social function. However, milk production is spatially heterogeneous in Brazil, especially due to the different technological patterns of production. In this context, the objective of this study was to verify the spatio-temporal distribution and dynamics of milk production in Brazil. For this purpose, milk production in Brazil in 2000 and 2016 was analyzed. The Brazilian microregions that specialize in milk production were identified using location quotient (LQ). An exploratory analysis of spatial data and Moran’s I were used to measure spatial autocorrelation among regions. Finally, principal component analysis (PCA) was used to assess the grouping relationships of variables as a function of the regions that specialize in milk production. Between 2000 and 2016, there was a decrease in the number of microregions that specialize in milk production. Thus, in 2016, approximately 20% of the microregions and over 22% of Brazilian municipalities specialized in milk production. The microregions and municipalities that specialize in milk production were concentrated mainly in the states of Minas Gerais and Goiás and in the Southern region of Brazil. There was an increase in milk productivity in all regions of the country, especially in those regions where production was concentrated. The formation of high-high clusters was found in the most productive regions of the country, i.e., in the South and Southeast, where the effects of technological spillover were observed, and the formation of low-low clusters was observed in the less productive regions, i.e., in the North and Northeast. Two main components were formed. The first component aggregated variables related to milk production in volume, and the second component aggregated variables inherent to productivity. It was possible to verify the recent growth in milk production and productivity in the country as well as to demonstrate the heterogeneity in production. Although there was a decrease in the number of microregions and municipalities that specialize in milk production, there was a concentration and increase in milk production and productivity in Brazil.

show abstract

Section: Moran's Imentioning

confidence: 97%

Section: Dairymentioning

confidence: 99%

Section: Location Quotient (Lq)mentioning

confidence: 99%

Section: Pcamentioning

confidence: 99%

See 2 more Smart Citations

Spatio-temporal dynamics of milk production in Brazil

Bacchi

Almeida

Telles

2022

Semina: Ciênc. Agrár.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Bovine milk production is of great importance for agribusiness in Brazil (TELLES et al, 2020). Dairy farming is practiced all over the country, being essential for providing food, jobs and income to population.…”

Section: Introductionmentioning

confidence: 99%

Risk factors associated with intramammary colonization with Mollicutes in dairy cattle from Southeast Brazil

et al. 2021

View full text Add to dashboard Cite

Bacteria of Mollicutes Class are associated with intramammary infection and decrease in milk production. This study investigated the occurrence of Mollicutes and elucidated their risk factors in dairy herds from Southeast Brazil. For this, milk samples from 387 lactation cows from Minas Gerais, Rio de Janeiro and São Paulo States were subjected to the polymerase chain reaction (PCR) to detect Mollicutes. Species of Mycoplasma were investigated in Mollicutes positive samples by PCR, including Mycoplasma bovis, M. alkalescens, M. bovigenitalium, M. bovirhinis, M. arginini and A. laidlawii. An epidemiological questionnaire was applied to collect data on possible risk factors, which were assessed using Pearson’s Chi-square test followed by odds ratio (P≤0.05). Mollicutes were reported in 21% (4/19) of the herds and 4% (16/387) of the animals, while 1% (5/387) were positive for M. bovis and 3% (11/387) for M. arginini. All samples were negative to the other agents. Herds with more than 150 animals [OR=3.51 (95% CI 1.11-11.08)], manual milking [OR=9.97 (95% CI 2.80-35.49)] and not-milking animals with mastitis last [OR=6.54 (95% CI 1.92-22.29)] were risk factors. The presence of these conditions may favor intramammary infection by Mollicutes in dairy herds from Southeast Brazil. This is the first report of M. bovis in Rio de Janeiro and M. arginini in the studied states.

show abstract

Rainfall event‐based surface runoff and erosion in small watersheds under dairy and direct‐seeding grain production

Ebling

Reichert

Minella

et al. 2022

Hydrological Processes

View full text Add to dashboard Cite

A 3-year study on erosion and streamflow was conducted in two adjacent paired watersheds that flow into the Passo Real reservoir, one of the largest and most important reservoirs for human water supply and power generation in southern Brazil. The watersheds have similar land use and soil management, but different size and riparian vegetation. The first objective of the study was to monitor and evaluate hydrosedimentological dynamics and effects of riparian vegetation, over a range of rain events, in the two watersheds; the second was to assess the ability of the Limburg Soil Erosion Model (LISEM) to represent these small watersheds in hydrosedimentological terms (runoff and erosion) under individual rain events, in the context of better understanding the role of riparian vegetation and land cover. LISEM is a hydrological model structured on physically based equations that can be used for planning and conservation purposes. Studied rainfall events between 2016 and 2018 had a wide range in total rainfall (10-170 mm), rainfall intensity in 1 h (3-66 mm h À1 ), stream peak flows (4-5741 L s À1 ), runoff volume (0.02-40 mm), runoff coefficient (0.1-32%), maximum suspended sediment concentration (20-19 611 mg L À1 ), and sediment yield (0.002-33.790 Mg km À2 ). Both watersheds showed a rapid response to rain events with significant runoff generation. Abundance of unpaved roads (often parallel to the slope) promoted high runoff due to channelization effects. South Watershed has 59% more riparian vegetation than North Watershed, but this greater riparian vegetation was not effective in reducing surface runoff and erosion. Furthermore, local adoption of no-tillage was insufficient to control runoff and sediment yield.

show abstract

Milk production systems in Southern Brazil

Cited by 12 publications

References 12 publications

Spatio-temporal dynamics of milk production in Brazil

Spatio-temporal dynamics of milk production in Brazil

Risk factors associated with intramammary colonization with Mollicutes in dairy cattle from Southeast Brazil

Rainfall event‐based surface runoff and erosion in small watersheds under dairy and direct‐seeding grain production

Contact Info

Product

Resources

About