LEVANTAMENTO DE NÍVEIS DE NUTRIENTES EM FORRAGEIRA Brachiaria brizantha NA REGIÃO DE RONDONÓPOLIS

: Com base em amostras de solo e plantas forrageiras coletadas durante as épocas seca e chuvosa, foi realizado levantamento das deficiências de nutrientes (Ca, P, PB, FDA, FDN, NDT) em uma fazenda na região de Rondonópolis (MT). Durante o período experimental, também foram registrado os dados relativos a precipitação pluviométrica mensal na região. Os níveis de nutrientes encontrados na forrageira sugerem uma deficiência de P, Ca, PB e NDT para bovinos de corte em fase de crescimento, tanto no período das águas quanto no período da seca. No período da seca os níveis nutricionais são muito inferiores para P, PB e NDT para as várias categorias animais de acordo com o NRC (1996)

FLUTUAÇÃO POPULACIONAL DE ESPÉCIES DE PÁSSAROS INSETíVOROS EM ÁREAS DE PASTAGENS INFESTADAS PELO Atarsocoris brachiariae Becker, 1996.

Visando avaliar a flutuação populacional de espécies de pássaros insetívoros em áreas infestadas pelo Atarsocoris brachiariae, foi instalado um experimento na Fazenda Guarita, antigo Campo Experimental da EMPAER-MT. Foram avaliadas duas áreas, sendo uma constituída de Brachiaria decumbens + Brachiaria dictyoneura , com distribuição média de 23,0 Anus preto , 25,5 Anus branco, 42,5 Bem-te-vis e 41,0 Andorinhas ,  e a outra  área constituída de um sistema rotacionado de Brachiaria decumbens + soja + milho + milheto, com distribuição média de 140,0 Anus-pretos, 89,0 Anus-brancos, 193,0 Bem-te-vis e 218,5 Andorinhas nos meses de janeiro, fevereiro, março e abril de 2005. A área proveniente do sistema de pastagem constituído por Brachiaria decumbens + soja + milho + milheto, apresentou maior número de todas espécies de pássaros insetívoros em avaliação e também maior diversificação de insetos nos meses de janeiro ,fevereiro e março e um conseqüente declínio de ambos pássaros e insetos, no mês de abril. Anus-brancos e Bem-te-vis apresentaram uma flutuação populacional média crescente (

Minerals balance and performance of broilers at 21 days of age fed diet containing Solanum malacoxylon

It was studied the performance and the amounts of calcium (Ca), phosphorus (P), magnesium (Mg), potassium (K) and sodium (Na) excreta and carcasses of broilers at 21 days of age fed addition of Solanum malacoxylon (SM) in rations. It was used a completely randomized design with three treatments: 0.0, 2.5 and 5.0 g of SM/kg diet, five replicates of four birds each. Using 5.0g of SM/kg diet reduced weight gain, decreased feed conversion, although consumption has not been affected. The inclusion of the plant did not affect (p>0.05) the levels of calcium, magnesium, potassium and sodium in excreta, and consequently the absorption of these minerals. The mineral composition of the carcasses was changed, and the concentrations of Na, Mg and K influenced. It is recommended that the addition to 2.5g of SM/kg of feed for broilers up to 21 days of age.Estudou-se o desempenho produtivo e as quantidades de cálcio (Ca), fósforo (P), magnésio (Mg), potássio (K) e sódio (Na) nas excretas e carcaças de frangos de corte aos 21 dias de idade alimentados com adição de Solanum malacoxylon (SM) nas rações. Adotou-se delineamento inteiramente casualizado, com três tratamentos: 0,0, 2,5 e 5,0g de SM/kg de ração, sendo cinco repetições e quatro aves por unidade experimental. O uso de 5,0 g de SM/kg de ração reduziu o ganho de peso e piorou a conversão alimentar, embora o consumo não tenha sido influenciado. A inclusão da planta não afetou (p>0,05) os teores de cálcio, magnésio, potássio e sódio nas excretas e, consequentemente, na absorção desses minerais. A composição mineral das carcaças foi alterada, sendo as concentrações de Na, Mg e K, influenciadas. Recomenda-se a adição de até 2,5g de SM/kg de ração para frangos de corte até 21 dias de idade

PRODUÇÃO DE MATÉRIA SECA DE CAPIM-BRAQUIARÃO (Brachiaria brizantha cv. Marandu) EM LOTAÇÃO ROTACIONADA NOS PERÍODOS DE SECA E ÁGUAS

Objetivou-se de avaliar a produção de matéria seca do capim-braquiarão (Brachiaria brizantha cv. Marandu) em lotação rotacionada nos períodos de seca e águas em Rondonópolis- MT. O delineamento experimental foi o inteiramente casualizado com 6 tratamentos e 31 repetições (piquetes). Os tratamentos foram dispostos em esquema fatorial 2x3, sendo: duas épocas (seca e águas) e três períodos (meses). Não houve diferença na produção de matéria seca entre as épocas de seca e águas. Provavelmente, as variações entre duas épocas não ocorreram em função da adição periódica dos dejetos líquidos de bovinos (chorume)

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

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

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications 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, 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

Performance, carcass and noble cuts yield of broilers fed diets supplemented with Solanum glaucophyllum

Objetivou-se avaliar o desempenho de frangos de corte entre 8 e 42 dias de idade, alimentados com rações suplementadas com 1,25-dihidroxicolecalciferol. Foram utilizados 648 frangos de corte, machos da linhagem Cobb®, distribuídos em seis tratamentos (0,0; 0,5; 1,0; 1,5; 2,0; e 2,5 ?g de vitamina D3/kg de ração) em delineamento constituído de blocos casualizados, com seis repetições de 18 aves cada. Aos 8 e 42 dias de idade cada unidade experimental e as rações foram pesadas para avaliação do desempenho (consumo de ração - CR, ganho de peso - GP e conversão alimentar - CA). Posteriormente, três aves/repetição foram retiradas e abatidas para mensuração do peso absoluto, rendimentos de carcaça e de cortes nobres. As médias de CR, GP e CA foram: 3,68 kg, 2,29 kg e 1,60, respectivamente. Os rendimentos de carcaça, peito, coxa, sobrecoxa e asas foram respectivamente: 70,17%, 37,09%, 14,08%, 18,31% e 10,44%. A inclusão de até 2,5 ?g/kg de vitamina D3 ativa na ração não influenciou (p>0,05) o desempenho e os rendimentos de carcaça e cortes nobres de frangos de corte.The objective was to evaluate the performance of broilers from 8 to 42 days of age, fed with diets supplemented with active vitamin D3. It was used 648 broilers, males, Cobb®, distributed among six treatments (0.0; 0.5; 1.0; 1.5; 2.0 and 2.5 D3/kg of ration) using a randomized block design, with six repetitions of 18 birds each. At 8 and 42 days of age each experimental unit and the rations were weighted in order to evaluated the performance (feed intake - FI, weight gain - WG and feed conversion - FC). Later, three broilers/repetition were removed and slaughtered in order to measure the absolutely weight, carcass and noble cuts yield. The average carcass, breast, thighs, drumsticks and wings were 70.17%, 37.09%, 14.08%, 18.31% and 10.44%, respectively. The levels of active vitamin D3 did not influence (p>0.05) performance, nor the carcass and noble cuts of broilers. Including up to 2.5 ?g/kg in ration of active vitamin D3 did not influence (p>0.05) the performance and carcass and noble cuts yield of broilers