Spatial variability of soil properties and cotton yield in the Brazilian Cerrado

Motomiya, Anamari V. A.; Molin, José Paulo; Motomiya, Wagner Rogério; Vieira, Sidney Rosa

doi:10.1590/s1415-43662011001000002

Cited by 14 publications

(16 citation statements)

References 20 publications

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“…For the soil properties (Table 2), it was observed DF in NO (OM, pH, K, Ca, Mg, SB, T and V%) and IN (P and H+Al), agreeing with the data observed by Zonta et al (2014) and Dalchiavon et al (2015). In general, the coefficients of variation were between low (OM, pH and T), moderate (Ca, H+Al, SB and V%), high (Mg) and very high (P and K), consistent with Motomiya et al (2011) and Dalchiavon et al (2015) for P and K and with Sana et al (2014) for soil pH when they analyzed the variability of soil properties and their effects on cotton productivity.…”

Section: Resultssupporting

confidence: 89%

“…The geostatistical analysis (Table 5) revealed, for the plant attributes that did not result in pure nugget effect, that the decreasing order of the spatial correlation coefficients (r 2 ) was: 1) PH (0.888), 2) %F (0.851), 3) SD (0.818), 4) FM (0.596), 5) BM (0.587), 6) SM (0.521), 7) #CY (0.508) and 8) RB (0.504). The PH derived in a very high spatial correlation coefficient (r 2 ), very high spatial dependency (SDE) (87.2%) and angular coefficient (b) of the cross-validation near 1 (1.022), denoting high quality of the experimental semivariogram of spherical type, thus agreeing with the semivariographic model reported by Motomiya et al (2011), who proposed a diagnosis for the localized management of the cotton crop, and mentioned high r 2 (0.640) and high SDE (68.0%).…”

Section: Resultssupporting

confidence: 82%

“…The pure nugget effect for the other soil properties indicated that the behavior of these regionalized variables was totally random, revealing the semivariogram discontinuity for distances smaller than those sampled, indicating the need to rethink this distance, which was evidenced in the study by Dalchiavon et al (2013b). Motomiya et al (2011) also found no spatial dependence for P and Mg, denoting that the spatial dependence of soil properties can also vary according to the area and the management applied. Typically, in areas under no-till system, as nutrient application vary from spreading and in-row, in crops with different spacings, combined with high or low nutrient mobility, heterogeneity becomes common, and semivariogram adjustments do not always have quality because of lower ranges.…”

Section: Resultsmentioning

confidence: 82%

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Interrelationship between cotton parameters and soil chemical properties in Central Brazil

Dalchiavon¹,

Hiolanda²,

Júnior³

et al. 2018

Rev. Ciênc. Agr.

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A B S T R A C TClassical geostatistical techniques and Geostatistics are important tools to correlate, linearly and spatially, vegetal productivity with the soil properties. Spatial and Pearson correlations between the attributes of the cotton plant and the soil properties were used in Campo Novo do Parecis, State of Mato Grosso, Brazil, in 2015 to determine the variability of plant productivity and soil chemical properties in the Savannah of Mato Grosso. A geostatistical grid was established for collection of data of the soil and plant, with 100 sampling points, in a plot with cotton crop. Soil was classified a Typic Tropustox. The variability expressed by the coefficient of variation was predominantly low to moderate for all soil chemical properties and productive variables of cotton. The absence of spatial dependence for soil chemical properties, except pH, indicated that spatial variations should be considered for soil sampling design. Kriging maps for the productive attributes of cotton showed that they have similar spatial distribution patterns in the crop. The productive attributes of the crop with direct relationship on the productivity of seed cotton were the number of reproductive branches and the boll mass, both linear and spatial. R E S U M OTécnicas de estatística clássica bem como da geoestatística são ferramentas importantes para correlacionar, linear e espacialmente, a produtividade vegetal com os atributos do solo. Assim, no ano de 2015, em Campo Novo do Parecis, Mato Grosso, Brasil, foram empregadas correlações, espaciais e de Pearson, entre atributos da planta de algodão e químicos do solo, visando determinar a variabilidade da produtividade vegetal e de atributos químicos do solo no Cerrado mato-grossense. Para tanto, instalou-se a malha geoestatística para a coleta de dados do solo e da planta, com 100 pontos amostrais, num talhão com a cultura de algodão. O solo foi classificado como um Latossolo Vermelho-Amarelo distrófico. A variabilidade expressa pelo coeficiente de variação foi predominantemente baixa a média para todas as variáveis de química do solo e produtivas do algodoeiro. A ausência de dependência espacial para os atributos químicos do solo, excetuando-se o pH, indicou que as variações espaciais devem ser consideradas para o planejamento de coleta de amostras de solo. Os mapas de krigagem para os atributos produtivos do algodoeiro revelaram que estes possuem semelhantes padrões de distribuição espacial na lavoura. Os atributos produtivos da lavora com relação direta na produtividade de algodão em caroço foram o número de ramos reprodutivos e a massa do capulho, tanto linear, quanto espacial.Palavras-chave: agricultura de precisão, agronegócio brasileiro, fertilidade do solo, geoestatística, Gossypium hirsutum. 634 Revista de Ciências Agrárias, 2018, 41(3): 633-646

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Section: Resultssupporting

confidence: 89%

Section: Resultssupporting

confidence: 82%

Section: Resultsmentioning

confidence: 82%

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Interrelationship between cotton parameters and soil chemical properties in Central Brazil

Dalchiavon¹,

Hiolanda²,

Júnior³

et al. 2018

Rev. Ciênc. Agr.

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“…In a practical way, the range of a variable guarantees that all of the neighbors are so similar that they can be used to estimate values for any point (Machado et al, 2007). A lower interval than the range provides soil samples with superposition of the spatial characteristics; on the other hand, a higher interval than the range does not comprise the spatial variability, while the medium value obtained does not reflect the area studied (Motomiya et al, 2011). …”

Section: Resultsmentioning

confidence: 99%

Spatial variability of soil physical and chemical aspects in a Brazil nut tree stand in the Brazilian Amazon

Guerreiro¹,

JÃonior²,

Santos³

et al. 2017

Afr. J. Agric. Res.

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The Brazil nut is considered one of the noblest trees of the Amazon biome and contains social, ecologic and economic importance to this region. The study of the spatial variance of the edaphic properties in native nut trees can direct future researches about more efficient samplings. The Geostatistics is the methodology utilized for this type of study, once that it considers the structural and random characteristics of a variable spatially distributed. This work sought to get a higher knowledge about the distribution of the nutrients in the soil, verifying the relationship with the occurrence of this species, to thereby provide subsidies to future forest management and maintenance/enlargement of the productivity in these areas. The soil samples were collected from 30 × 30 m on the line, in all of the lines in part of the study, totaling 60 samples. All of the points were georeferenced. The preparation of the samples for the sample preparation for the chemical analysis and the methods and calculations to determine the physicochemical variables studied were described by Nogueira and Souza (2005). The statistical and geostatistical analysis were conducted using the R computational environment, version 3.2.2. Most of the studied variables presented defined level. For the physical variables, there was predominance of the adjustment to the model of the gaussian variogram, follower by the spherical model. In the case of the chemical variables, there were two occurrences for each adjustment model (spherical, exponential and gaussian). The variables that best presented spatial relation with the occurrence of Brazil nut trees were the silt, clay, macroporosity, pH, phosphorus, zinc and copper.

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“…A técnica de geoestatística vem sendo aplicada em várias áreas do conhecimento científico, podendo-se citar: geologia (Mouslopoulou & Hristopulos, 2011); propriedades físicas dos solos (Motomiya et al, 2011;Bohling et al, 2012;Santos et al, 2012); recursos minerais (Abichequer et al, 2012); climatologia (Fouquet et al, 2011;Ramos et al, 2011;Wanderley et al, 2012;) e hidrologia (Ávila et al, 2009;Castro et al, 2010). Nour et al (2006) utilizando a técnica geoestatística consideraram as implicações que o projeto de uma rede de monitoramento pluviométrico pode acarretar no mapeamento de precipitações e concluíram que, a partir da krigagem ordinária, a análise geoestatística forneceu bons resultados na identificação de locais para instalação de estações pluviométricas, possibilitando a redução dos erros de estimativa espaciais.…”

Section: Introductionunclassified

Proposta metodológica para projeto de redes hidrométricas: parte II - exclusão, rearranjo e inclusão de estações

Elesbon

Silva²,

Sediyama³

et al. 2014

Rev. bras. eng. agríc. ambient.

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R E S U M OEste artigo apresenta a segunda parte da metodologia desenvolvida para projeto de redes hidrométricas de monitoramento quantitativo em bacias hidrográficas, com ênfase na exclusão, rearranjo e inclusão de estações de monitoramento. A proposta metodológica apresentada tem, como área de estudo, a Bacia Hidrográfica do Rio Doce (BHRD) e se baseia na análise espacial dos mapas gerados pela krigagem para as variáveis regionalizadas: vazão específica mínima com 7 dias de duração e período de retorno de 10 anos (q 7,10 ) e precipitação do semestre mais seco (P ss ). Aplicando-se a metodologia desenvolvida para a BHRD, verificaram-se melhorias significativas nos desvios padrão percentuais das estimativas de vazão para seis das nove ottobacias estudadas, culminando com o rearranjo de 18 estações e exclusão de duas estações na rede de monitoramento fluviométrico. Verificou-se, ainda, que houve melhorias nas estimativas espacializadas de precipitação com o rearranjo espacial de 12 estações porém se destaca a necessidade de inclusão de 67 estações na rede de monitoramento pluviométrico. A metodologia mostrou-se adequada para o objetivo proposto podendo ser aplicada a qualquer bacia hidrográfica.Methodological proposal for hydrometric network design: Part II -Exclusion, rearrangement and inclusion of monitoring stations A B S T R A C TThis paper presents the second part of the methodology developed to project hydrometric networks of quantitative monitoring of watersheds, emphasizing exclusion, inclusion and rearrangement of monitoring stations. The presented methodology has as study area the Doce River Basin (DRB) and it is based on spatial analysis of maps generated by kriging for regionalized variables: minimum specific flow of 7 days duration and return period of 10 years -q 7,10 and precipitation of dry season -P ss . Applying the methodology developed for the DRB, it was concluded that there were significant improvements in the standard deviations of estimates of flow for 6 of the 9 ottobacias, culminating with the rearrangement of 18 stations and excluding 2 stations in the gauging monitoring network. It was also observed that there were improvements too in the estimates of spatialized precipitation enabling the spatial rearrangement of 12 stations. It is noteworthy, however, the need for inclusion of 67 stations in the network monitoring rainfall. The methodology was adequate for the proposed objective and can be applied to any watershed. Palavras IntroduçãoA Política Nacional de Recursos Hídricos (PNRH), instituída pela Lei 9.433/97, foi um marco legal no tratamento dos recursos hídricos do Brasil. Um dos instrumentos de gestão de recursos hídricos previstos na PNRH é o Sistema Nacional de Informações sobre Recursos Hídricos (SINGREH) sendo um dos seus objetivos atualizar, permanentemente, as informações sobre disponibilidade e demanda de recursos hídricos em todo o território nacional; entretanto, o SINGREH só alcançará este objetivo se houver a disponibilidade de uma rede de monitoramento hidrológico co...

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Spatial variability of soil properties and cotton yield in the Brazilian Cerrado

Cited by 14 publications

References 20 publications

Interrelationship between cotton parameters and soil chemical properties in Central Brazil

Interrelationship between cotton parameters and soil chemical properties in Central Brazil

Spatial variability of soil physical and chemical aspects in a Brazil nut tree stand in the Brazilian Amazon

Proposta metodológica para projeto de redes hidrométricas: parte II - exclusão, rearranjo e inclusão de estações

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