Submitted by Jorge Silva (jorgelmsilva@ufrrj.br) on 2017-09-28T17:53:37Z No. of bitstreams: 1 2017 - Walciney Jos? das Chagas de Oliveira.pdf: 2552173 bytes, checksum: b5ff12c05946a53ec0cc884a550f3d22 (MD5) / Made available in DSpace on 2017-09-28T17:53:37Z (GMT). No. of bitstreams: 1 2017 - Walciney Jos? das Chagas de Oliveira.pdf: 2552173 bytes, checksum: b5ff12c05946a53ec0cc884a550f3d22 (MD5) Previous issue date: 2017-02-23 / AusAID (Australian Agency for International Development, Austr?lia) / Whey produced by small to medium cheese makers in the state of Minas Gerais is currently being underutilised and carries an economic burden due to losses to the environment. The current study provides a diagnostic of whey utilisation in a selected cluster of 76 dairy companies located in Zona da Mata and Campo das Vertentes and economically assesses potential value addition scenarios for regional development by considering the potential whey uptake by two established drying plants with spare capacity. The decision making model indicated that the most economical scenario includes the installation of whey collection centers. With a minimum regional development investment of R$55,000,000.00, the model selects the Ponte Nova plant as the recipient of the cluster?s whey (mostly in pre-concentrated form) to produce partially demineralised whey powder 40%, with a return of investment of 2.9 years. Changes in transportation costs did not impact on the model output recommendations. This study demonstrated the economic viability for whey recovery into whey powder following the formation of a cluster of associated small to medium cheesemakers. / O soro de leite produzido por pequenas e m?dias queijarias em Minas Gerais est? sendo subutilizado e carrega um fardo econ?mico devido a perdas para o meio ambiente. O presente estudo fornece um diagn?stico da utiliza??o de soro de leite em um cluster selecionado de 76 latic?nios localizados na Zona da Mata e Campo das Vertentes, e economicamente avalia poss?veis cen?rios de agrega??o de valor para o desenvolvimento Regional, considerando a absor??o de soro de leite potencial por duas plantas de secagens estabelecidas com capacidades ociosas. O modelo de tomada de decis?o indicou que o cen?rio mais econ?mico inclui a instala??o de centro de coletas de soro de leite. Com um investimento de desenvolvimento Regional m?nimo de R$ 55.000.000,00, o modelo seleciona a planta de Ponte Nova como o destinat?rio do soro do cluster (principalmente na forma de pr?-concentrado) para produzir o soro de leite parcialmente desmineralizado em p? 40%, com um retorno do investimento de 2,9 anos. Mudan?as nos custos de transporte n?o impactaram as recomenda??es de sa?da do modelo. Este estudo demonstrou a viabilidade econ?mica para a recupera??o do soro de leite em soro em p? ap?s a forma??o de um cluster de pequenos e m?dios associados queijeiros.

Submitted by Jos? Henrique Henrique (jose.neves@ufvjm.edu.br) on 2017-06-06T21:08:54Z No. of bitstreams: 2 jose_lucas_camargos.pdf: 1772896 bytes, checksum: ed61126d3964190579d1888b21edf3aa (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2017-06-22T15:30:03Z (GMT) No. of bitstreams: 2 jose_lucas_camargos.pdf: 1772896 bytes, checksum: ed61126d3964190579d1888b21edf3aa (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-06-22T15:30:03Z (GMT). No. of bitstreams: 2 jose_lucas_camargos.pdf: 1772896 bytes, checksum: ed61126d3964190579d1888b21edf3aa (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES) / Funda??o de Amparo ? Pesquisa do Estado de Minas Gerais (FAPEMIG) / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (CNPq) / O objetivo deste trabalho foi avaliar a influ?ncia da redu??o de parcelas em algumas medi??es de invent?rio florestal cont?nuo na modelagem do crescimento e produ??o de um povoamento de Eucalyptus sp. O modelo de Clutter foi utilizado na modelagem do crescimento e da produ??o florestal, a partir de dados selecionados de 374 parcelas distribu?das em 172 talh?es. Foram utilizadas tr?s alternativas de modelagem: sem estratifica??o do povoamento, com estratifica??o do povoamento e um conjunto de 30 simula??es. Estas simula??es foram amostras de 40 parcelas aleat?rias cada, sem estratifica??o, com o objetivo de possibilitar uma an?lise geral dos efeitos do fen?meno estudado. Em todas as alternativas, foi realizada a modelagem do crescimento e da produ??o sem considerar redu??es nas medi??es de invent?rio florestal cont?nuo e considerando tr?s situa??es de redu??o. As situa??es consideradas foram medi??es de 25%, 50% e 75% das parcelas do invent?rio florestal cont?nuo nas medi??es dois e quatro, e 100% nas medi??es um, tr?s e cinco. Esta mesma metodologia foi repetida, por?m com a utiliza??o do modelo de regress?o n?o linear Log?stico, acrescido de um fator de corre??o. Ambos os modelos apresentaram boa precis?o para a predi??o e proje??o do volume do povoamento em idades futuras. O modelo Log?stico com fator de corre??o, entretanto, foi mais preciso que o modelo de Clutter. Para ambos os modelos foi constatado que n?o houveram perdas significativas de precis?o acarretadas pelas redu??es no n?mero de parcelas em algumas medi??es do invent?rio florestal cont?nuo. Para a modelagem do crescimento e da produ??o, ? recomendado que estas redu??es sejam criteriosas e que preferencialmente a ?ltima medi??o n?o seja reduzida. / Disserta??o (Mestrado) ? Programa de P?s-Gradua??o em Ci?ncia Florestal, Universidade Federal dos Vales do Jequitinhonha e Mucuri, 2017. / This study had as object to evaluate the influence of the reduction of plots at some measurements of continuous forest inventory in the growth and yield modeling of a Eucalyptus sp. forest stand. The Clutter model was used in forest growth and yield modeling, using selected data of 374 distributed plots in 172 forest compartments. It were used three modeling alternatives: without stratification of the forest stand, with stratification of the forest stand and a set of 30 simulations. These simulations were samples of 40 plots each one, without stratification, objectifying a general analysis about the studied phenomenon. To all the alternatives, it was made the forest growth and yield modeling without considering reductions in continuous forest inventory measurements and considering three reduction situations. The considered situations were measurements of 25%, 50% and 75% of the continuous forest inventory plots in the measures two and four, and 100% in the measures one, three and five. This same methodology was repeated, but using the Logistic nonlinear regression model, plus a correction factor. Both models had good precision to predicting and projecting the forest stand volume at future ages. The Logistic model with a correcting factor, however, had best precision than the Clutter model. For both models it was found that there was not significant losses of accuracy caused by reductions in the number of plots at some continuous forest inventory measurements. To forest growth and yield modeling, it is recommended for these reductions to be judicious and preferably the last measurement to not be reduced.