Zoometric indices of the goats in the Republics of Cape Verde and Brazil

Objetivou-se avaliar os índices zoométricos de populações caprinas brasileiras e cabo-verdianas e verificar sua aptidão zootécnica para produção de carne, leite ou mista. Foram amostradas 1.064 cabras adultas das populações: Alpina, Boer, Anglo-Nubiana, Mambrina, Azul, Gurguéia, Sem Raça Definida do Piauí (SRD-PI), Nambi, Marota, Repartida e as populações cabo-verdianas de cinco ilhas (Fogo, São Nicolau, Santiago, São Vicente e Santo Antão). Avaliaram-se altura da cernelha, altura das patas, altura de garupa, comprimento corporal e perímetro torácico. A partir destas medidas foram calculados cinco índices zoométricos baseados na combinação das variáveis anteriores. Estes índices foram submetidos às análises estatísticas descritivas, análise de variância e teste de Scott-Knott (P<0,05). Verificou-se que as populações com maior aptidão para corte foram SRD-PI e Nambi. As populações Anglo-Nubiana, Gurguéia, Marota e Fogo apresentaram aptidão intermediária. A aptidão leiteira foi verificada para as populações de São Nicolau, Santiago, São Vicente, Azul, Santo Antão, Mambrina e Repartida. Os índices zoométricos são úteis para separar as populações de acordo com suas aptidões.The aim of this study was to evaluate the zoometric indices of goat populations in Brazil and Cape Verde and compare them with populations of know aptitude. It was sampled populations 1064 of adult goats: Alpine, Boer, Anglo-Nubian, Mambrina, Azul, Gurguéia, undefined populations of Piauí (UDB-PI), Nambi, Marota e Repartida. It were analyzed body measures of wither height (WH), brisket height (BH), hip height (CH), body length (BL) and thoracic circumference (TP). With this body measures it was calculated the zoometric indices: length-height (LH=CC/WH), height-height (HH=WH/CH), depth-height (DH=TP/WH), length-depth (LD=BL/TP) and witherbrisket (WB=BH/WH). These indices were submitted to follow analysis: descriptive statistical, variance and Scott- Knott test. According to the scale of aptitude was found the populations with higher meat aptitude were: UDB-PI and Nambi. The Anglo-Nubian populations, Gurguéia, Marota and Fogo showed aptitude for milk and meat. The milk aptitude was found to the population of São Nicolau, Santiago, São Vicente, Azul, Santo Antão, Mambrina and Repartida. The zoometric indices are helpful to separate populations according to their aptitudes.Facultad de Ciencias Agrarias y Forestale

Zoometric indices of the goats in the Republics of Cape Verde and Brazil

Objetivou-se avaliar os índices zoométricos de populações caprinas brasileiras e cabo-verdianas e verificar sua aptidão zootécnica para produção de carne, leite ou mista. Foram amostradas 1.064 cabras adultas das populações: Alpina, Boer, Anglo-Nubiana, Mambrina, Azul, Gurguéia, Sem Raça Definida do Piauí (SRD-PI), Nambi, Marota, Repartida e as populações cabo-verdianas de cinco ilhas (Fogo, São Nicolau, Santiago, São Vicente e Santo Antão). Avaliaram-se altura da cernelha, altura das patas, altura de garupa, comprimento corporal e perímetro torácico. A partir destas medidas foram calculados cinco índices zoométricos baseados na combinação das variáveis anteriores. Estes índices foram submetidos às análises estatísticas descritivas, análise de variância e teste de Scott-Knott (P<0,05). Verificou-se que as populações com maior aptidão para corte foram SRD-PI e Nambi. As populações Anglo-Nubiana, Gurguéia, Marota e Fogo apresentaram aptidão intermediária. A aptidão leiteira foi verificada para as populações de São Nicolau, Santiago, São Vicente, Azul, Santo Antão, Mambrina e Repartida. Os índices zoométricos são úteis para separar as populações de acordo com suas aptidões.The aim of this study was to evaluate the zoometric indices of goat populations in Brazil and Cape Verde and compare them with populations of know aptitude. It was sampled populations 1064 of adult goats: Alpine, Boer, Anglo-Nubian, Mambrina, Azul, Gurguéia, undefined populations of Piauí (UDB-PI), Nambi, Marota e Repartida. It were analyzed body measures of wither height (WH), brisket height (BH), hip height (CH), body length (BL) and thoracic circumference (TP). With this body measures it was calculated the zoometric indices: length-height (LH=CC/WH), height-height (HH=WH/CH), depth-height (DH=TP/WH), length-depth (LD=BL/TP) and witherbrisket (WB=BH/WH). These indices were submitted to follow analysis: descriptive statistical, variance and Scott- Knott test. According to the scale of aptitude was found the populations with higher meat aptitude were: UDB-PI and Nambi. The Anglo-Nubian populations, Gurguéia, Marota and Fogo showed aptitude for milk and meat. The milk aptitude was found to the population of São Nicolau, Santiago, São Vicente, Azul, Santo Antão, Mambrina and Repartida. The zoometric indices are helpful to separate populations according to their aptitudes.Facultad de Ciencias Agrarias y Forestale

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

Phylogenetic relationships of the New World titi monkeys (Callicebus): First appraisal of taxonomy based on molecular evidence

Background: Titi monkeys, Callicebus, comprise the most species-rich primate genus-34 species are currently recognised, five of them described since 2005. The lack of molecular data for titi monkeys has meant that little is known of their phylogenetic relationships and divergence times. To clarify their evolutionary history, we assembled a large molecular dataset by sequencing 20 nuclear and two mitochondrial loci for 15 species, including representatives from all recognised species groups. Phylogenetic relationships were inferred using concatenated maximum likelihood and Bayesian analyses, allowing us to evaluate the current taxonomic hypothesis for the genus. Results: Our results show four distinct Callicebus clades, for the most part concordant with the currently recognised morphological species-groups-the torquatus group, the personatus group, the donacophilus group, and the moloch group. The cupreus and moloch groups are not monophyletic, and all species of the formerly recognized cupreus group are reassigned to the moloch group. Two of the major divergence events are dated to the Miocene. The torquatus group, the oldest radiation, diverged c. 11 Ma; and the Atlantic forest personatus group split from the ancestor of all donacophilus and moloch species at 9-8 Ma. There is little molecular evidence for the separation of Callicebus caligatus and C. dubius, and we suggest that C. dubius should be considered a junior synonym of a polymorphic C. caligatus. Conclusions: Considering molecular, morphological and biogeographic evidence, we propose a new genus level taxonomy for titi monkeys: Cheracebus n. gen. in the Orinoco, Negro and upper Amazon basins (torquatus group), Callicebus Thomas, 1903, in the Atlantic Forest (personatus group), and Plecturocebus n. gen. in the Amazon basin and Chaco region (donacophilus and moloch groups). © 2016 Byrne et al

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