664 research outputs found

    Estudos sobre a nutrição mineral do cafeeiro: XL. Fitomassa e conteúdo de macro e micronutrientes no material podado

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    An experiment has carried out in commercial coffee plantation (varie ty Mundo Novo, 7 years old, 1904 "covas" per ha, previous yield 3,180 kg cleancoffe, Ipanema Agro Indústria S.A., Alfenas, MG, Brazil) designed to estimate the quantities of biomass, macro and micronutrients there in, removed by different types of pruning, namely: (1) stumping at 0,40 m above ground;(2) capping at 1,00 m; (3) capping at 1,50 m; (4) capping at 2,00 m; (5) capping at 1,50 m and cutting of laterals at 15 cm from the main stem. Analyses of data and material allowed for the following conclusions to be drawn. (1) Biomass removed by pruning was higher when pruning was done by stumping (24.3 tons of fresh weight and 11.9 tons dry weight) and by capping at 1,00 m above ground (20.6 and 10.1 tons, respectively); these treatments were followed by capping at 1,50 m plus cutting off laterals which yielded 19.4 and 8.3 tons of fresh and dry weight; the fresh and try weight corresponding to capping at 1,50 and 2,00 m above ground were: 12.1 and 5.4, 5.6 and 2.5 tons por hectare. (2) Simple regression equations describe with a high degree of significance the relationship between height of pruning and biomass removed there off. (3) The amount of macro and micronutrients, as expected, relate well with the quantity of plant material which corresponds to each treatment. Total amounts for macronutrients were, according to the order of the treatments given above (in kg/ha): N - 320; 294; 162; 80 and 261; P - 18; 15; 10; 44 and 16; K - 286; 266; 168; 78 and 273; Ca - 149; 139; 63; 33 and 101; Mg - 30; 33; 16; 8 and 26; S - 10; 7; 6; 3 and 10. In the same order, the amounts of micronutrients were, in g/ha: B - 306; 337; 163; 83 and 268; Cu - 229; 219; 121; 51 and 191; Fe - 2783; 2328; 1367; 544 and 2088; Mn - 437; 779; 264; 142 and 412; Zn - 174; 152; 74; 28 and 121. (4) Simple regression equations were derived which express the relationship between quantities of macro and micronutrients removed and the heighth of pruning. (5) Recycling of the biomass curt off fy pruning could contribute to savings in the rates of fertilizer to be applied in the period of regrowth. Most of the nutrients, however, from two thirds to three fourths of the total, are found in branches and stems which is likely to more slonly released.Foi conduzido um ensaio numa plantação comercial de café de variedade Mundo Novo de 9 anos de idade, com uma população de 1904 covas/ha, destinada a avaliar a quantidade de biomassa e de nutrientes removidas por diferentes tipos de poda: recepa a 0,40m; decote a 1,00, 1,50 e 2,00 m; decote a 1,50m com esqueletamento. A análise do material e dos dados permitiu tirar-se as seguintes conclusões: (1) a biomassa removida pela poda foi maior na recepa (24,3 t de matéria fresca e 11,9 de matéria seca) e no decote a 1,00 m (20,6 e 10,1 t, respectivamente); seguia-se o decote a 1,50 m com esqueletamento que deu 19,4 e 8,3 t de matéria fresca e seca por hectare; os pesos da matéria fresca e seca correspondentes aos decotes a 1,50 m e 2,00 m foram: 12,1 e 5,4; 5,6 e 2,5 t/ha; (2) a relação existente entre a altura de poda e quantidade de fitomassa removida é descrita por equações de regressão simples; (3) as quantidades de nutrientes removidas são proporcionais as quantidades de material podado sendo as seguintes de acordo com a ordem dos tratamentos dado, em kg/ha: N - 320, 294, 162, 80 e 261; P - 18, 15, 10, 44 e 16; K - 286, 266, 168, 78 e 273; Ca - 149, 139, 63, 33 e 101: Mg - 30, 33, 16, 8 e 26; S - 10, 7,6, 3 e 10; as quantidades de micronutrientes removidas foram, em g/ha: B - 306, 337, 163, 83 e 268; Cu - 229, 219, 121, 51 e 191; Fe - 2783, 2328, 1367, 544 e 2,088; Mn - 437, 779, 264, 142 e 412; Zn - 174, 152, 74, 28 e 121; (3) foram derivadas equações de regressão simples que relacionam quantidade extraídas e altura da poda; (4) a reciclagem de fitomassa contribui com economia substancial de fertilizantes para a nova vegetação. Cerca de dois terços e três quartos de nutrientes, entretanto, estão contidos no material lenhoso de caules e ramos o que deve fazer que a sua disponibilidade seja mais lenta

    Bean seedling growth enhancement using magnetite nanoparticles

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    Advanced fertilizers are one of the top requirements to address rising global food demand. This study investigates the effect of bare and polyethylene glycol-coated Fe<sub>3</sub>O<sub>4</sub> nanoparticles on the germination and seedling development of <i>Phaseolus vulgaris</i> L. Although the germination rate was not affected by the treatments (1 to 1 000 mg Fe L<sup>–1</sup>), seed soaking in Fe<sub>3</sub>O<sub>4</sub>-PEG at 1 000 mg Fe L<sup>–1</sup> increased radicle elongation (8.1 ± 1.1 cm vs 5.9 ± 1.0 cm for the control). Conversely, Fe<sup>2+</sup>/Fe<sup>3+</sup><sub>(aq)</sub> and bare Fe<sub>3</sub>O<sub>4</sub> at 1 000 mg Fe L<sup>–1</sup> prevented the growth. X-ray spectroscopy and tomography showed that Fe penetrated in the seed. Enzymatic assays showed that Fe<sub>3</sub>O<sub>4</sub>-PEG was the least harmful treatment to α-amylase. The growth promoted by the Fe<sub>3</sub>O<sub>4</sub>-PEG might be related to water uptake enhancement induced by the PEG coating. These results show the potential of using coated iron nanoparticles to enhance the growth of common food crops

    An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

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    For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types
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