ObjectiveIsoquinoline Alkaloids, derived from one plant (Macleaya cordata) can be an alternative when it is desired to increase performance in feedlot cattle. However, results on these nutritional additives in high energy diets in ruminants are still incipient in literature. In this context, the objective of this study was to evaluate performance and carcass traits of feedlot bulls supplemented with sanguinarine, the main alkaloid presents in Macleaya cordata in high energy density diets.MethodsThirty-two crossbred Angus-Nelore bulls with mean initial body weight of 365±10 kg and mean initial age of 11±3 months were used. The experiment lasted 119 days, with 14 days of adaptation and 105 experimental days. Experimental diet consisted of 85% whole corn grains and 15% protein-vitamin-mineral nucleus and supplied ad libitum. Treatments consisted of a control diet (CON) and a diet with sanguinarine supplementation (SAN) at a dosage of 4 g of product sufficient to provide 6 mg of sanguinarine/d. Experimental design was completely randomized.ResultsDry matter intake, average daily gain and feed conversion were similar (p>0.05) between treatments. However, SAN group animals had higher carcass yield (p = 0.045) and were more efficient in the transformation of dry matter consumed in carcass gain (p = 0.046) than CON. In addition, haptoglobin, increased throughout feedlot duration meaning high challenge for the animals due to the diet, but this behavior was similar (p>0.05) between treatments.ConclusionSanguinarine produced positive results in relation to carcass yield and could be used as an additive for bulls fed diets receiving high energy density diet.
The dairy industry is characterised by a wide diversity of production systems. In this diverse environment, some of the difficulties can be minimised through the grouping of production units through the study of typology. The objective was to characterise the systems of milk production from West Parana State by considering production rates, area, power, facilities, and marketing of milk. To this end, 735 semistructured interviews with dairy farmers were performed by using a questionnaire for management practices and feed that is used on the farms. To obtain the explanatory variables used for principal component analysis (PCA) and hierarchical cluster analysis (HCA), a homogeneous division of 735 farmers in five groups was used. Ten per cent of producers were randomly selected for the performance of field visits to the properties, where a new questionnaire was applied with specific points regarding feeding management on the property, and feed was collected to determine its composition. The collected data were tabulated and feed was ranked based on the classification proposed by the NRC (2001). Analyses of feed were carried out in the Laboratory of Animal Nutrition of Unioeste. The West Parana State has five groups of dairy production systems. There is great variability in the fresh forages that are used, but maize silage is the main forage utilised for fermented feed, and concentrate supplementation is adopted by more than 60% of farms during both seasons. Changes in the levels of feed components are high among systems. Key words: Animal feed. Characterisation of production. Composition of foods. Dairy farming. ResumoA pecuária leiteira é caracterizada por ampla diversidade de sistemas de produção. Nesse ambiente diverso, algumas das dificuldades podem ser minimizadas por meio do agrupamento das unidades de produção através do estudo da tipologia. Objetivou-se caracterizar os sistemas de produção de leite do Oeste do Estado do Paraná considerando os índices de produção, área, alimentação, instalações e comercialização do leite. Para tal, foram realizadas 735 entrevistas semiestruturadas, com produtores de leite, utilizando um questionário guia referente a práticas de manejo e dos alimentos utilizados nas propriedades. Para a obtenção das variáveis explicativas usou-se a análise de componentes principais (ACP) e análise de clusters hierárquicos (CHA), obtendo-se a divisão homogênea dos 735 produtores em cinco grupos. Destes foram selecionados ao acaso 10% dos produtores cada para a realização das visitas a campo nas propriedades, aplicando-se um novo questionário que contemplava pontos específicos do manejo alimentar utilizado na propriedade, bem como a coleta de alimentos para determinação da sua composição. Os dados coletados foram tabulados e os alimentos classificados com base na classificação dos alimentos proposta pelo NRC (2001). As análises dos alimentos foram realizadas no Laboratório de Nutrição Animal da Unioeste. O Oeste do Estado do Paraná possui cinco grupos de sistemas de produção leiteira. ...
Milk production in Brazil is complex, as it depends on a wide base of small-scale producers employing diverse strategies. In recent years, the supply chain has undergone considerable structural changes, increasing the need for knowledge and characterization of milk-production activities. Therefore, the objective proposed in this study was to characterize rural properties according to various aspects of production in order to identify the dairy cattle production systems of Western Paraná. To this end, 735 interviews were conducted through semi-structured questionnaires administered to dairy farmers using a questionnaire tab for the diversity of management practices in production systems. Data were tabulated and processed by SPSS-v.18, using multiple correspondence analysis: ACM and cluster analysis (hierarchical cluster). The first two dimensions grouped 71.9% of the total variance: DIM1 as 49.4% and DIM2 as 22.5%. Using cluster analysis, five distinct and homogeneous groups (G1, G2, G3, G4, and G5) of production systems were formed. These systems shared the common feature of small properties and were supported primarily by manual labor performed by family members. It is concluded that various milk producing groups exist in the city, with respect to the characteristics of production systems: ownership structure, squad, and how producers mobilize and act on the factors of production. The typology carried out from these characteristics demonstrates a useful tool for action and technical assistance in developing strategies for the industry. Key words: ACM, management, property, questionnaire ResumoA produção de leite no Brasil é de natureza complexa, pois depende de uma base constituída de elevado número de produtores de baixa escala de produção e grande diversidade de estratégias. Nos últimos anos, essa cadeia produtiva tem sofrido consideráveis modificações estruturais, aumentando a necessidade do conhecimento e caracterização da atividade. Desta forma, o objetivo proposto neste estudo foi caracterizar propriedades rurais segundo aspectos produtivos a fim de identificar os diferentes sistemas de produção de bovinos leiteiros do Oeste do Paraná. Para tanto, foram realizadas 735 entrevistas através de questionários semiestruturados, com produtores de leite, utilizando um questionário guia referente às práticas de manejo da diversidade dos sistemas de produção. Os dados foram tabulados e tratados no programa estatístico , utilizou-se a análise de correspondências múltiplas -ACM e análise de conglomerados (cluster hierárquico). As duas primeiras dimensões agruparam 71,9% da inércia, sendo a DIM1 49,4% e a DIM2 22,5%. Utilizando a análise de cluster, formaram-se cinco grupos distintos e homogêneos (G1, G2, G3, G4 e G5) de sistemas de produção. Esses sistemas tinham em comum serem propriedades de pequeno porte e de apresentarem em sua maioria mão-de-obra familiar. Conclui-se que existem diferentes grupos de produtores de leite no município, com relação às características dos sistemas de produção no que diz respe...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.