Genetic parameters and trends of growth traits in Nelore cattle raised in the Northern region of Brazil

The objective of this study was to estimate (co)variances and genetic parameters and to predict genetic trends for weight at 120 (W120), 210 (W210), 365 (W365), and 450 (W450) days of age in Nelore cattle raised in the northern region of Brazil. The database comprised records of 30,387 animals born between 2000 and 2013 in the Brazilian North. Estimates were calculated by the Restricted  Maximum Likelihood (REML) method, in single- and multi-trait analyses in an animal model. Heritability as obtained using single- and multi-trait models for W120 (0.22 and 0.31), W210 (0.20 and 0.34), W365 (0.51 and 0.51), and W450 (0.49 and 0.51) indicated moderate to high magnitudes, with the possibility of genetic selection and incorporation into the herd. Genetic correlations between growth traits were favorable, ranging from 0.78 to 0.96. Genetic trends for W120 and W210 varied largely, from -0.31 to 4.68 and -0.53 to 7.62 kg/year, respectively. Smaller fluctuations were observed in genetic trends for W365 and W450, which ranged from -1.08 to 10.90 and -1.29 to 12.51 kg/year, respectively. Selection for W365 and W450 proved to be the criterion of choice for Nelore herds raised in the region; however, it may compromise adult performance because of higher costs and time for production. A thorough analysis of mattings is recommended to allow the selection of earlier-developing animals. O presente trabalho foi delineado para estimar as (co) variâncias, parâmetros genéticos e de predizer as tendências genéticas para o peso aos 120 (W120), 210 (W210), 365 (W365) e 450 (W450) dias de idade de gado Nelore criado na região norte do Brasil. A base de dados foi constituituída por registro de 30387 animais, nascidos entre 2000 e 2013 no norte do Brasil. As estimativas foram calculadas pelo método de máxima restrição de probabilidade (REML) em um modelo animal com análises isoladas e multi variadas. A herdabilidade obtida para os modelos utilizados foi: W120 (0,22 e 0,31); W210 (0,20 e 0,34); W365 (0,51 e 0,51) e W450 (0,49 e 0,51), indicando moderada e alta magnitude com a possibilidade de seleção genética e incorporação no rebanho. As correlações genéticas entre grupos de tendências foram favoráveis variando de 0,78 a 0,96. As tendências genéticas para W120 e W210 apresentaram ampla variação de -0,31 a 4,68 e -0,53 a 7,62 kg/ano, respectivamente. Menores flutuações foram observadas nas tendências genéticas para W365 e W450, as quais variaram de -1,08 a 10,90 e -1,29 a12,51 kg/ano, respectivamente. Foi constatado que a seleção para W365 e W450 deve ser um critério de escolha para os rebanhos Nelore criados na região; contudo ela pode comprometer a performance dos adultos devido aos elevados custos e da duração da produção. Uma completa análise de cruzamentos é recomendada para possibilitar a seleção de animais jovens em desenvolvimento.

Profile of milk consumers and determinants of A2A2 milk consumption in the Tocantins State

Atualmente, a indústria láctea diversifica produtos com propriedades organolépticas, dietéticas, funcionais e nutricionais em função de demandas do consumidor e do bem-estar. Assim, objetivou-se estudar o perfil dos consumidores, incluindo dados de consumo de leite, conhecimento e familiaridade com o leite A2A2 no estado do Tocantins. Foi realizado uma pesquisa qualitativa, através de questionário, com 389 pessoas distribuídas em 34 municípios no Tocantins. Em relação ao consumo de lácteos, 21,31% apresentam algum tipo de desconforto ao consumirem, e, 46,27% possuem um consumo semanal de um a dois litros, 28,28% entre dois a quatro litros e 25,45% com consumo superior a quatro litros, sendo o leite o principal produto lácteo consumido por 59,13% dos entrevistados. Dos entrevistados, 76,10% tem pouca ou nenhuma atenção às informações do rótulo contra 23,90% que possuem muita atenção, e 40,63% e 59,64% detinham ou não algum conhecimento sobre leite A2A2, respectivamente. Foi observado que 42,93% e 30,59% estariam dispostos a pagar mais de 10% ou mais de 50%, respectivamente, e 24,94% revelaram não pagar nenhum acréscimo sobre o valor para o leite A2A2. No entanto, a capacidade de consumo está diretamente ligada ao nível de conhecimento e familiaridade sobre leite A2A2, ou seja, pagar um valor adicional baixo demonstrou relação com consumidores que possuem conhecimento sobre, mas conhecem pouco esse produto, enquanto que pagar valores adicionais maiores esteve relacionado com entrevistados que ouviram falar e conhecem sobre o produto.The dairy industry diversifies products with organoleptic, dietary, functional, and nutritional properties according to consumer demands and welfare. This study aimed to examine the profile of consumers, data on milk consumption, knowledge, and familiarity with A2A2 milk in the Tocantins State, Brazil. A qualitative survey was carried out through a questionnaire applied to 389 people, distributed in 34 municipalities. Regarding the consumption of dairy products, 21.31% of participants described having some type of discomfort when consuming them. Among participants, 46.27% consumed one to two liters, 28.28% two to four liters, and 25.45% more than four liters per week. Milk was the main dairy product consumed, according to 59.13% of participants. Of all respondents, 76.10% pay little or no attention to the information on the label, versus 23.90% who did not. Regarding A2A2 milk, 40.36% possessed some knowledge about it, while 59.64% did not. 42.93% and 30.59% of participants stated they would be willing to pay over 10% or 50% more, respectively, whereas 24.94% would not pay any additional amount on the price of A2A2 milk. Willingness to pay a low additional amount was related to consumers who heard of, but knew little about this product, whereas the likelihood of paying higher additional amounts was associated with respondents who heard and know about the product

CONTAMINAÇÃO DAS PRAIAS DO MUNICÍPIO DE PELOTAS, POR OVOS, CISTOS E OOCISTOS DE PARASITOS GASTRINTESTINAIS DE CÃES

This study aimed to detect eggs, cysts, and oocysts of parasites with zoonotic potential in dog feces found on the waterfront of the beaches of Pelotas, RS, Brazil. Between September 2018 and August 2019, 12 monthly samples were collected at each of the three beaches studied (Laranjal, Barro Duro, and Colony of fishermen Z3), corresponding to 36 samples per month and totaling 432 samples. Several techniques were used for analyses. Among the analyzed samples, 73.4% (317/432) were positive for some type of parasite. Ancylostoma spp. eggs were prevalent on all beaches, being present in 54.6% of the samples. Z3 and Barro Duro beaches showed the highest percentages of contamination, with averages of 85.4% and 84.7%, respectively, while Laranjal presented the lowest average (50.3%). As they are public places, the presence of eggs and cysts of zoonotic parasites indicates a potential risk for the population and animals that frequent them. Thus, measures must be adopted to reduce contamination in these areas and, consequently, decrease exposure to these agents.Este trabalho teve como objetivo detectar ovos, cistos e oocistos de parasitos com potencial zoonótico em fezes de cães encontradas na orla das praias de Pelotas/RS, Brasil. Entre os meses de setembro de 2018 e agosto de 2019, foram coletadas 12 amostras mensais em cada uma das três praias estudadas (Laranjal, Barro Duro e Colônia de pescadores Z3), correspondendo a 36 amostras por mês e totalizando 432 amostras. Várias técnicas foram utilizadas para as análises. Dentre as amostras analisadas, 73,4% (317/432) foram positivas para algum gênero de parasito. Ovos de Ancylostoma spp. foram prevalentes em todas as praias, estando presente em 54,6% das amostras. As praias de Z3 e Barro Duro apresentaram os maiores percentuais de contaminação, com médias de 85,4% e 84,7%, respectivamente, enquanto Laranjal apresentou a menor média (50,3%). Por serem locais públicos, a presença de ovos e cistos de parasitos zoonóticos indica um potencial risco para a população e animais que os frequentam. Desta forma, medidas devem ser adotadas com a finalidade de reduzir a contaminação nessas áreas e, consequentemente, diminuir a exposição a esses agentes

Profile of milk consumers and determinants of A2A2 milk consumption in the Tocantins State

The dairy industry diversifies products with organoleptic, dietary, functional, and nutritional properties according to consumer demands and welfare. This study aimed to examine the profile of consumers, data on milk consumption, knowledge, and familiarity with A2A2 milk in the Tocantins State, Brazil. A qualitative survey was carried out through a questionnaire applied to 389 people, distributed in 34 municipalities. Regarding the consumption of dairy products, 21.31% of participants described having some type of discomfort when consuming them. Among participants, 46.27% consumed one to two liters, 28.28% two to four liters, and 25.45% more than four liters per week. Milk was the main dairy product consumed, according to 59.13% of participants. Of all respondents, 76.10% pay little or no attention to the information on the label, versus 23.90% who did not. Regarding A2A2 milk, 40.36% possessed some knowledge about it, while 59.64% did not. 42.93% and 30.59% of participants stated they would be willing to pay over 10% or 50% more, respectively, whereas 24.94% would not pay any additional amount on the price of A2A2 milk. Willingness to pay a low additional amount was related to consumers who heard of, but knew little about this product, whereas the likelihood of paying higher additional amounts was associated with respondents who heard and know about the product

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazonia Sustentavel, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far.Keywords: Social–ecological systems, Tropical forests, Land use, Interdisciplinary research, Sustainability, Trade-off