Milk quality in high production systems during dry and rainy seasons according to normative instruction N° 62

This study aimed to evaluate the milk quality of crossbred cows from five production systems according to the quality parameters required by Normative Instruction No. 62 (NI 62). Five different production systems were used, with different environmental and sanitary conditions, and with animals from different breeds in two seasons: dry and rainy. Three individual milk samples were collected from animals in the five production systems during the dry season; the same number of samples was collected during the rainy season. The samples were evaluated in the Milk Quality Laboratory of the Federal University of Goiás using analytical principles based on infrared differential absorption of milk components. The data were analyzed with a 2 × 5 factorial system in which factor 'A' includes the seasons and factor 'B' includes the five different production systems. The values of fat, protein, lactose, nonfat solids (NFS) and somatic cell count (SCC) were analyzed. Throughout the experiment, the chemical composition of milk was in accordance with NI 62; however, in relation to SCC, System 2 did not produce milk with optimal quality parameters and did not follow the criteria established by law. The analyzed milk had higher protein content of 3.32%, NFS of 8.89% and SCCs of 492,180 SC/mL during the rainy season compared to the dry season. Higher SCCs were also observed with increasing concentrations of fat and protein in the milk. Lactose and NFS values were found in lower concentrations with increasing SCCs due to epithelial damage present in animals with high SCCs. The systems differ among each other in some factors due to the particularity of each system. It was concluded that the milk components are in agreement with those required by NI 62, however all systems produced milk with higher SCC levels during the rainy season.Keywords: Chemical composition, somatic cell count, season, individual milk samples, qualit

Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology

In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics

Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology

In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics

Author correction: One sixth of Amazonian tree diversity is dependent on river floodplains

In the version of the article initially published, the affiliation of Edgardo Manuel Latrubesse was incorrect and has now been amended to Environmental Sciences Graduate Program-CIAMB, Federal University of Goiás, Goiânia, Brazil in the HTML and PDF versions of the article

One sixth of Amazonian tree diversity is dependent on river floodplains

Amazonia’s floodplain system is the largest and most biodiverse on Earth. Although forests are crucial to the ecological integrity of floodplains, our understanding of their species composition and how this may differ from surrounding forest types is still far too limited, particularly as changing inundation regimes begin to reshape floodplain tree communities and the critical ecosystem functions they underpin. Here we address this gap by taking a spatially explicit look at Amazonia-wide patterns of tree-species turnover and ecological specialization of the region’s floodplain forests. We show that the majority of Amazonian tree species can inhabit floodplains, and about a sixth of Amazonian tree diversity is ecologically specialized on floodplains. The degree of specialization in floodplain communities is driven by regional flood patterns, with the most compositionally differentiated floodplain forests located centrally within the fluvial network and contingent on the most extraordinary flood magnitudes regionally. Our results provide a spatially explicit view of ecological specialization of floodplain forest communities and expose the need for whole-basin hydrological integrity to protect the Amazon’s tree diversity and its function

EFFECT OF TIME AND TEMPERATURE OF REFRIGERATION IN THE DEVELOPMENT OF PSYCHROTROPHIC MICRORGANISMS IN COOLED RAW MILK COLLECTED IN THE MACROREGION OF GOIÂNIA – GO EFEITO DO TEMPO E DA TEMPERATURA DE REFRIGERAÇÃO NO DESENVOLVIMENTO DE MICRORGANISMOS PSICROTRÓFICOS EM LEITE CRU REFRIGERADO COLETADO NA MACRORREGIÃO DE GOIÂNIA – GO

<div>The objective of the research were evaluated the effect of storage time and of refrigeration temperature under the counting of psychrotrophics microrganisms and proteolytics psychrotrophics in refrigerated raw milk samples. In the period of August the September of 2005 34 refrigerated raw milk samples were collected of refrigeration tanks, being 29 individuals and five collectives. Milk was proceeding from bovine flocks. For the collection of the samples followed a route determined for the industry located in the macroregion of Goiânia – GO, Brazil. For the microbiological evaluation was carried the standard plate count method of psychrotrophics microrganisms and proteolytics psychrotrophics. For the determination and quantification of the glycomacropeptide (GMP) were adopted methodology proposal in Brazil (1991). The counting of psychrotrophics microrganisms and proteolytics psychrotrophics increased with the storage time of refrigerated bovine milk. Were observed the inadequate tanks were observed e presence of GMP for the High Performance Liquid Chromatography (HPLC) was not evidenced.</div><div><br /></div><div>KEY WORDS: Proteolysis, Pseudomonas spp, raw milk.</div> <div>O objetivo da pesquisa foi avaliar o efeito do tempo de estocagem e da temperatura de refrigeração sob a contagem de microrganismos psicrotróficos e psicrotróficos proteolíticos em amostras de leite cru refrigerado. No período de agosto a setembro de 2005 coletaram-se 34 amostras de leite cru refrigerado de tanques de expansão, sendo 29 individuais e cinco coletivos. Para a coleta das amostras seguiu-se uma rota determinada pela indústria localizada na macrorregião de Goiânia, GO. Para a avaliação microbiológica, foi realizada a contagem-padrão em placas de microrganismos psicrotróficos e psicrotróficos proteolíticos. Para a determinação e quantificação do caseinomacropeptídeo (CMP), adotou-se a metodologia proposta em BRASIL (1991). A contagem de microrganismos psicrotróficos e psicrotróficos proteolíticos aumentou com o tempo de estocagem do leite cru refrigerado. Observou-se o funcionamento inadequado do termostato dos tanques de expansão, podendo ocasionar prejuízos principalmente ao produtor de leite. Não foi constatada a presença de CMP pela cromatografia líquida de alta eficiência.</div><div><br /></div><div>PALAVRAS-CHAVES: Leite in natura, proteólise, Pseudomonas spp.</div><div><br /></div&gt