20 research outputs found

    Environmental and Operational Performance Is Not Always Achieved When Combined with Cleaner Production and Lean Production: An Overview for Emerging Economies

    No full text
    The effect of combined Lean Production (LP) and Cleaner Production (CP) on Environmental and Operational Performance in emerging economies' industries has not yet been studied. To address this gap, this work explores the effect of LP and CP practices on Environmental and Operational performance. A sample of 208 Brazilian organizations provided a set of results to test the four hypotheses: H1: LP practices are positively associated with CP practices in emerging economies' industries; H2: Environmental performance is positively associated with operational performance in emerging economies' industries; H3: LP practices are positively associated with environmental performance in emerging economies' industries; H4: CP practices are positively associated with operational performance in emerging economies' industries. H1 was confirmed and another three hypotheses were refuted, thus contributing to advancing the scientific literature dealing with CP and LP constructs with a comparative approach to Environmental and Operational performance in emerging economies' industries. \textcopyright 2021 Newcastle University

    Controle bacteriológico de carne caprina para elaboração de hambúrguer caprino defumado Bacteriological control of goat meat to elaboration of smoked goat hamburger

    No full text
    Realizaram-se avaliações bacteriológicas da matéria-prima utilizada na elaboração de um produto cárneo caprino tipo hambúrguer defumado, antes e após sanitização. A carne foi tratada por aspersão, com uma solução de ácidos orgânicos contendo 2% de ácido acético, 1% de ácido lático, 0,25% de ácido cítrico e 0,1% de ácido ascórbico, e armazenada sob refrigeração. As análises bacteriológicas foram realizadas no dia 0 e aos 7 e 14 dias após defumação. Na carne, no dia 0, a contagem de coliformes fecais estava acima do limite permitido pela legislação vigente, mas sete dias após a sanitização, esse parâmetro estava dentro dos limites permitidos. No produto final todos os parâmetros bacteriológicos encontraram-se dentro dos padrões higiênico-sanitários.<br>In order to obtain a safe goat smoked hamburger, bacteriological analysis of the raw material was performed before and after sanitation. Meat was sprayed with a solution of organic acids containing 2% acetic acid, 1% lactic acid, 0.25% citric acid and 0.1% ascorbic acid and, after that, stored under refrigeration. Bacteriological analysis was carried out on days 0, 7 and 14 after goat smoked hamburger processing. In meat, on day 0, the fecal coliform count was above legal limits, but on day 7 after sanitation this parameter was these limits. In the final product, all the results of the bacteriological parameters were according to the sanitary-hygienic standards

    Application of single step genomic BLUP under different uncertain paternity scenarios using simulated data. (Research article).

    No full text
    ABSTRACT.The objective of this study was to investigate the application of BLUP and single step genomic BLUP (ssGBLUP) models in different scenarios of paternity uncertainty with different strategies of scaling the G matrix to match the A22 matrix, using simulated data for beef cattle. Genotypes, pedigree, and phenotypes for age at first calving (AFC) and weight at 550 days (W550) were simulated using heritabilities based on real data (0.12 for AFC and 0.34 for W550). Paternity uncertainty scenarios using 0, 25, 50, 75, and 100% of multiple sires (MS) were studied. The simulated genome had a total length of 2,333 cM, containing 735,293 biallelic markers and 7,000 QTLs randomly distributed over the 29 BTA. It was assumed that QTLs explained 100% of the genetic variance. For QTL, the amount of alleles per loci randomly ranged from two to four. The BLUP model that considers phenotypic and pedigree data, and the ssGBLUP model that combines phenotypic, pedigree and genomic information were used for genetic evaluations. Four ways of scaling the mean of the genomic matrix (G) to match to the mean of the pedigree relationship matrix among genotyped animals (A22) were tested. Accuracy, bias, and inflation were investigated for five groups of animals: ALL = all animals; BULL = only bulls; GEN = genotyped animals; FEM = females; and YOUNG = young males. With the BLUP model, the accuracies of genetic evaluations decreased for both traits as the proportion of unknown sires in the population increased. The EBV accuracy reduction was higher for GEN and YOUNG groups. By analyzing the scenarios for YOUNG (from 0 to 100% of MS), the decrease was 87.8 and 86% for AFC and W550, respectively. When applying the ssGBLUP model, the accuracies of genetic evaluation also decreased as the MS in the pedigree for both traits increased. However, the accuracy reduction was less than those observed for BLUP model. Using the same comparison (scenario 0 to 100% of MS), the accuracies reductions were 38 and 44.6% for AFC and W550, respectively. There were no differences between the strategies for scaling the G matrix for ALL, BULL, and FEM groups under the different scenarios with missing pedigree. These results pointed out that the uninformative part of the A22 matrix and genotyped animals with paternity uncertainty did not influence the scaling of G matrix. On the basis of the results, it is important to have a G matrix in the same scale of the A22 matrix, especially for the evaluation of young animals in situations with missing pedigree information. In these situations, the ssGBLUP model is an appropriate alternative to obtain a more reliable and less biased estimate of breeding values, especially for young animals with few or no phenotypic records. For accurate and unbiased genomic predictions with ssGBLUP, it is necessary to assure that the G matrix is compatible with the A22 matrix, even in situations with paternity uncertainty. © 2017 Tonussi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
    corecore