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Registros recuperados: 13 | |
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Fadigas,Francisco Souza; Amaral Sobrinho,Nelson Moura Brasil do; Anjos,Lucia Helena Cunha dos; Mazur,Nelson. |
Soils formed from the Barreiras Group sediments, located mainly along the coast of Brazil Northern and Northeastern regions, generally present low concentrations of iron oxides and total organic carbon, high quantities of quartz in the sand fraction, and kaolinitic clay mineralogy. The objective of the present study was to quantify the pseudo total concentrations of Cd, Co, Cu, Cr, Mn, Ni, Zn and Fe in Xhantic Udox and Xhantic Udult soils derived from these sediments. The reference sites were covered by native vegetation and located in the States of Pará and Amapá, Brazil. Multiple linear regression analysis was applied to determine correlations between soil parameters and the levels of these metals. The best correlation was obtained between Fe, Mn, clay,... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Udox; Udult; Heavy metals; Metal soil estimation; Multiple linear regression. |
Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162010000100008 |
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Sayago,S; Bocco,M. |
Development of models for crop yield prediction using remote sensing allows accurate, reliable and timely estimations over large areas. Particularly, this information is necessary to ensure the adequacy of a nation's food supply as well as to aid policy makers and farmers. In Argentina, soybean (Glycine max (L.) Merr.) and corn (Zea mays L.) are the most important crops. The goal of this research was to develop and evaluate linear and non-linear models to estimate crop yield from satellite data. Particularly, we proposed and applied those models to obtain soybean and corn yield in the central region of Córdoba (Argentina) using Landsat and SPOT images. The models were designed taking into account all or some bands included in the images from one or both... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Neural networks; Multiple linear regression; Soybean; Corn; Modelling. |
Ano: 2018 |
URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1668-298X2018000100001 |
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Donato,Lucas Titonelli Ferreira; Donato,Sérgio Luiz Rodrigues; Brito,Cleiton Fernando Barbosa; Fonseca,Varley Andrade; Gomes,Carlos Nick; Rodrigues Filho,Vagner Alves. |
Abstract Models for estimating leaf area of bananas found in the literature are not suitable for lanceolate type leaves occurring at the vegetative stage of ratoon suckers dependent of mother plant. The objective was to determine equations for estimating the leaf area of ‘Prata-Anã’ and ‘BRS Platina’ banana plants with lanceolate type leaves. 212 and 164 lanceolate type leaves having 10 cm-wide lamina or less were collected from ‘Prata-Anã’ and ‘BRS Platina’ banana plants of 90 days of age or less, respectively. Width (W), length (L), width/length ratio (WLR), and scanner-measured leaf area (LAscanner) were determined. Using the backward elimination procedure, simple and multiple linear regression equations were fitted to the relationship between leaf... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Young bananas; Multiple linear regression; Narrow leaves. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452020000400201 |
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Marolli,Anderson; Silva,José A. G. da; Mantai,Rubia D.; Brezolin,Ana P.; Gzergorczick,Maria E.; Lambrecht,Darlei M.. |
ABSTRACT The growth regulator modifies the expression of lodging and panicle components in oat plants, with reflexes in yield. The objective of this study was to define the optimal dose of growth regulator in oat for a maximum lodging of 5%. In addition, this study aimed to identify potential variables of the panicle to compose the multiple linear regression model and the simulation of grain yield in conditions of use of the regulator under low, high and very high fertilization with nitrogen. The study was conducted in 2011, 2012 and 2013 in a randomized block design with four replicates in a 4 x 3 factorial scheme, for growth regulator doses (0, 200, 400 and 600 mL ha-1) and N-fertilizer doses (30, 90 and 150 kg ha-1), respectively. The growth regulator... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Avena sativa; Nitrogen; Trinexapac-ethyl; Multiple linear regression. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000400261 |
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Demattê,José Alexandre Melo; Guimarães,Clécia Cristina Barbosa; Fongaro,Caio Troula; Vidoy,Emmily Larissa Felipe; Sayão,Veridiana Maria; Dotto,André Carnieletto; Santos,Natasha Valadares dos. |
ABSTRACT: The study of soils, including their physical and chemical properties, is essential for agricultural management. Soil quality must be maintained to ensure sustainable production of food and conservation of natural resources. In this context, soil mapping is important to provide spatial information, which can be performed using remote sensing (RS) techniques. Modeling through use of satellite data is uncertain regarding the amplitude of replicability of the models. The aim of this study was to develop a quantification model for soil texture based on reflectance information from a continuum of bare soils, obtained by overlapping multi-temporal satellite images, and apply this model to an unknown region to evaluate its applicability. Spectral data... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil texture; Remote sensing; Bare soil mask; Multiple linear regression; Digital soil mapping. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100310 |
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Gomes,Andréa da Silva; Ferreira,Ana Carolina de Souza; Pinheiro,Érika Flávia Machado; Menezes,Michele Duarte de; Ceddia,Marcos Bacis. |
ABSTRACT Computer models have been used to assess soil organic carbon (SOC) stock change. Commonly, models require to determine soil bulk density (Db), a variable that is often lacking in soil data bases. To partly overcome this problem, pedotransfer functions (PTFs) are developed to estimate Db from other easily available soil properties. However, only a few studies have determined the accuracy of these functions and quantified their effects on the final quality of the spatial variability maps. In this context, the objectives of this study were: i) to develop one PTF to estimate Db in soils of the Brazilian Central Amazon region; ii) to compare the performance of PTFs generated with three other models generally used to estimate Db in soils of the Amazon... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Içá Formation; Multiple linear regression; Ordinary kriging. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000600450 |
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Registros recuperados: 13 | |
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