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Articles by Carlos Antonio da Silva Junior
Total Records ( 7 ) for Carlos Antonio da Silva Junior
  Carlos Antonio da Silva Junior , Francisco Eduardo Torres , Paulo Eduardo Teodoro , Guilherme Fernando Capristo Silva and Eduardo Souza Silva
  In Pantanal South Matogrossense croplands pasture are around four million hectares, subject to flooding in the period of the waters. However, water deficit can lead to dehydration in the plant, reducing its growth and acceleration of senescence of tissues by decreasing the rate of leaf expansion and consequently showing less height and photosynthesis by reducing the leaf area. The objective of this research was to study the development of different cultivars of Brachiaria brizantha, which best thrives under two types of environments (conventional pasture and vereda-type of Cerrado vegetation formation) in periods of drought and rain. The experimental design was of randomized blocks with four repetitions in each environment in the two periods. Every 15 DAE (days after emergence) was rated the height of tiller, stem diameter and width of the leaf blade. Was employed Kruskal Wallis statistical method = {P (x>X2); (α = 0.05)} and for comparisons between the means obtained from the variables was carried out the Mann-Whitney test the probability 0.05. To cultivate larger values presented to Xaraés height of plant, stem diameter and width of the leaf blade in relation to the cultivars Marandu, Piatã and MG-4. Cultivating MG-4 presented the lower plant height, stem diameter, width of the leaf blade and a smaller thatched elongation in respect of other cultivars. Cultivating Xaraés was which adapted better to the region of the Cerrado-Pantanal ecotone, showing superior results to the other cultivars.
  Marcos Rafael Nanni , Jose Alexandre Melo Dematte , Carlos Antonio da Silva Junior , Franciele Romagnoli , Anderson Antonio da Silva , Everson Cezar and Aline de Carvalho Gasparotto
  The objective of this study was to evaluate the use of a laboratory and an orbital sensor on the classification of soils in a complete 180 ha bare soil area located in Brazil. The 180 points were located as a regular grid of 100x100 m (one point per ha). In each point, soil samples were georreferenced (GPS) and collected (0-20 and 80-100 cm depths). Based on the traditional soil analysis and field work (with 18 profile evaluation), a detailed soil map was developed as to be our “real pattern”. This soil map determined 18 soil classes and 53 polygons. Other soil maps were developed based on the following described methods. The first method was based on the orbital image (landsat) interpretation. It was used a color composition 5R, 4G, 3B. Based on the visual interpretation it was determined 16 classes of soils and 35 polygons. A statistical method was used to compare the traditional soil map with the color composition soil map. The traditional soil map was more accurate although the color composition had several. The second method was performed with laboratory sensor information. Spectral data (400-2500 nm) was acquired from soil samples (both depths of each point). Data was modelized and cluster analysis grouped the spectral curves. The third method consisted on the evaluation of the surface soil information (obtained in laboratory but convoluted for the landsat spectral bands). With this method 9 groups were discriminated. The fourth method was determined by quantitative analyses of each pixel information extracted from a processed and reflectance transformed landsat image. The number of groups determined were nine. The main conclusion was: Any sensor method reached the detailed soil map information.
  Aline de Carvalho Gasparotto , Marcos Rafael Nanni , Carlos Antonio da Silva Junior , Everson Cesar , Franciele Romagnoli , Anderson Antonio da Silva and Gabriel Cipolaro Guirado
  This study aimed to evaluate the use of vegetation indices, GNIR and RNIR extracted from digital images and using a spectroradiometer in the adjustment models for discrimination nitrogen levels in corn, evaluate the contents and their relationship with corn production components. The experiment was established in a greenhouse with a corn plant per pot in DIC with 5 treatments (0, 50, 100, 200 and 300 kg ha-1 of nitrogen) and 10 repetitions. Evaluations were performed at 15, 30, 45, 60 and 80 DAE, with capturing images using the 720 nm-IR filters, 850 nm-IR and UV-IR cut in a digital camera Fujifilm IS Pro and spectroradiometer readings were used the Spring and Excel software to calculate GNIR and RNIR vegetation indices. The GNIR showed higher sensitivity for assessment of nitrogen deficiency in maize. The use of camera appeared as a promising tool for nitrogen discrimination. The use 720 nm filter was higher to 850 nm. The best times to break down the nitrogen doses evaluated by vegetation indices were 60 and 80 DAE.
  Elisa Pereira de Oliveira , Daniel Makoto Kusano , Arthur Pacheco , Evandro Michel Valero Nardelli , Ricardo Fernando da Rui , Matheus Gustavo da Silva , Paulo Eduardo Teodoro and Carlos Antonio da Silva Junior
  The objective of this research was to evaluate the residual effect of 2,4-D amine on the initial development of soybean plants after its application on the soil at different times before sowing. The experiment was conducted in a greenhouse during the months from April to June 2013, at State University of Mato Grosso do Sul. The experimental design was completely randomized, with four replications. The treatments consisted of eight application times of herbicide 2,4-D amine, seven (3, 6, 9, 12, 15, 18 and 21 days) before sowing, a treatment during sowing (0) and a control treatment (no herbicide application). The dose used was 1080 g i.a. ha–1. It were evaluated he following variables: percentage of emergency, plant height, stem diameter, fresh mass of shoot, fresh mass of roots, dry mass of shoot, dry mass of roots, nodular activity and toxicity. The soybean sowing at time or three days after application of 2,4-D amine causes reduction in the crop development as a result of this residual effect of this herbicide and should occur at least six days after application of this herbicide.
  Gessi Ceccon , Adriano dos Santos , Paulo Eduardo Teodoro and Carlos Antonio da Silva Junior
  This research aimed to identify the relationships between the primary and secondary components of the maize yield using the techniques of canonical correlation and factors analysis. The base population was composed of nine randomized crossing hybrids in an isolated field, in the years 2006-2012. Canonical correlations were estimated between the variable group consisting of primary (GI) and secondary (GII) yield components. To Factor Analysis (FA), we chose a number of common factors equal to the number of eigen values higher than the existing unit in the phenotypic correlations matrix of variables and the orthogonal factor model was opted. Primary and secondary yield components of maize grains are not independent. Inter-group associations are established by plants with higher height, stem diameter, dry weight and lower ear height, which positively influence primary yield components (dry ear weight, ear length and hundred-grain weight). Factor analysis allowed to reduce a large number of original variables observed to a small number of abstract variables and can be used to complement the canonical variables technique.
  Matheus Langhi Alves , Mariana Conceicao de Souza , Gustavo Henrique Gottardo Loff , Rodrigo Araujo Marques , Paulo Eduardo Teodoro , Caio Cezar Guedes Correa , Carlos Antonio da Silva Junior and Francisco Eduardo Torres
  Models to estimate leaf area according to the linear dimensions of leaves have been developed in several green manure crops. The aim of this work was to model and identify the best models for estimating the leaf area determined by digital photos in sun. The trial was installed in the experimental area of the State University of Mato Grosso do Sul-Unit University Aquidauana (UEMS/UUA), Brazil. During the growth and development of plants, randomly 200 expanded leaves of the lower, middle and superior portions were collected in order to obtain the plant canopy representation. These leaves were separated into two samples; the first with 150 leaves was used to generate mathematical models for measuring the leaf area and the second with 50 leaves was used to validate the generated equations and identify the best accuracy. At each collected leaf was measured the length and width. Subsequently, it was calculated the product of length×width. Then, the real leaf area for all 200 leaves was determined by digital photos. The linear model based on the product between length×width is the most appropriate to estimate sunn leaf area, because it had the highest Pearson linear correlation coefficient, lower mean square error and lower root mean square error.
  Elisa Pereira de Oliveira , Paulo Eduardo Teodoro , Carlos Antonio da Silva Junior , Simone Botelho Benites , Larissa Pereira Ribeiro and Francisco Eduardo Torres
  Objective: The aim of this study was to evaluate the influence of seed type and sampling times in the agricultural year 2011/2012 on the production of Dry Mass (DM) of cultivars of Panicum maximum. Methodology: The experiment was carried out at the Universidade Estadual de Mato Grosso do Sul, Campus Aquidauana-MS. The statistical design was a randomized block in a split plot with four replications. The plots consisted of three cultivars of Panicum maximum: Tanzânia, Mombaça and Massai. The subplots comprised two seed treatments: Conventional seed with high purity and seed encrusted, who went through the process of chiseling, fungicide and subsequently received péleti containing macro and micronutrients. The first cut occurred on 22 October, 2011 the remaining forage cuts were 60 days of regrowth, which it was assessed the following parameters: Dry mass of leaves, culm and roots and leaf/culm ratio (L/C). Results: The seed coating did not affect the production of DM. Mombaça showed greater DM and leaf/culm ratio in relation to Tanzânia and Massai. Conclusion: In the region of Aquidauana-MS, Panicum maximum cultivars showed low forage production during the winter season, characterizing the summer as the best period of forage production for the three cultivars of this species.
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