Desenvolvimento de modelo agrometeorológico espectral para estimativa de rendimento do milho na Província de Manica-Moçambique

Mabilana, Hugo Adriano; Fontana, Denise Cybis; Fonseca, Eliana Lima da

doi:10.1590/s0034-737x2012000300007

Cited by 4 publications

(4 citation statements)

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“…Remote sensing data associated with geostatistics tools have been applied in agricultural studies. Typically, EOS-MODIS (Earth Observing System-Moderate Resolution Imaging Spectroradiometer) satellite imagery data have been applied in the monitoring and modelling of bioclimatic processes, crop cycle development, agricultural production and biophysical parameter estimates [27]- [30].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Heat Waves and Their Impacts on Summer Crop Development in Southern Brazil

Gusso¹,

Ducati²,

Veronez³

et al. 2014

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Periods in the soybean summer cycle that are sensitive to the occurrence of high temperatures were studied. An analysis was performed on the variability of soybean yields associated with crop canopy temperatures during key development periods. A land surface temperature (LST) data series from MODIS (Moderate Resolution Imaging Spectroradiometer) on the Aqua satellite was processed between 2003 and 2012 that covered the entire state of Rio Grande do Sul, in Brazil. Enhanced vegetation index (EVI) data from MODIS on the Terra satellite were used to monitor the LST during different phenological stages. Spatially interpolated maps of soybean yield distributions were generated using data obtained from Instituto Brasileiro de Geografia e Estatística (IBGE) at state and municipality levels. The results indicate that canopy-LST occurrence in mid-February, during the grain filling, is most correlated to yield reduction (R 2 = 0.82 and RMSD = 14.4%). At the state level, the average yield is 2003 kg•ha − 1 with a standard deviation of 308 kg•ha −1. The overall average of the canopy-LST is 305.0 K (31.8˚C) with a standard deviation of 1.9 K. The slope of the downward linear relationship between canopy-LST and yield was −28.7%. These results indicate that monitoring heat wave events can provide important information for characterising agriculture vulnerability.

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Section: Introductionmentioning

confidence: 99%

Monitoring Heat Waves and Their Impacts on Summer Crop Development in Southern Brazil

Gusso¹,

Ducati²,

Veronez³

et al. 2014

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“…* p < 0.10; ** p < 0.05; *** p < 0.001. Fontana 2011;Mabilana et al 2012;Klering et al 2016), is an approach to be tested for the modeling of forage accumulation in natural grasslands. The correlations established in this study indicated which elements should be considered in the natural grasslands growth models adjustment.…”

Section: Resultsmentioning

confidence: 99%

NDVI and meteorological data as indicators of the Pampa biome natural grasslands growth

et al. 2018

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The present study aimed to characterize the dynamics of NDVI and meteorological conditions, relating both to the annual dynamics of biomass accumulation in natural pastures of the Pampa biome as a way of subsidizing growth modeling. Forage accumulation rate data from a long-term experiment, NDVI data from the MODIS images, and meteorological data measured at the surface were used. We verify that the agrometeorological element associated to the accumulation of forage in the natural grasslands is different according to the season, which is typical of the subtropical climate. Winter is the critical season for livestock production due to the lower forage accumulation rate and lower

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“…Outro trabalho envolvendo a análise de regressão múltipla foi realizado por Mabilana et al (2012), o qual teve como variáveis independentes os índices meteorológicos, e como variável dependente o rendimento médio de grãos de milho. Segundo os mesmos autores, as variáveis meteorológicas apresentam relação direta com a produtividade, podendo ser usadas para explicar as variações nos rendimentos médios de grãos do milho.…”

Section: Híbridounclassified

Elementos meteorológicos sobre características morfológicas e produtivas do milho em diferentes épocas de semeadura

Caron¹,

Oliveira²,

Elli³

et al. 2017

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ResumoO presente trabalho teve por objetivo avaliar a influência dos elementos meteorológicos sobre as características morfológicas e produtivas do milho em diferentes épocas de semeadura. O delineamento experimental utilizado foi o de blocos completos casualizados, em esquema fatorial 2x6, com dois híbridos de milho (Dekalb 240 e Dow AgroSciences 2A106), e seis épocas de semeadura (15-09-2013, 30-09, 15-10, 30-10, 16-11 e 03-12-2013), com três repetições. Avaliaram-se a estatura da planta, o diâmetro de espiga, o comprimento de espiga, o número de fileiras por espiga, o número de grãos por fileira, o diâmetro do sabugo, a massa de mil grãos e a produtividade. Foi realizada a análise de variância e o teste de Tukey para os fatores épocas de semeadura e híbridos. Realizaram-se ainda a correlação de Pearson e o procedimento de seleção de variáveis Stepwise de modelagem de regressão. As características morfológicas e produtivas dos híbridos de milho são influenciadas pelos elementos meteorológicos nas diferentes épocas de semeadura. De maneira geral, tanto o híbrido D240 como o 2A106 apresentam melhores resultados em relação às variáveis analisadas, nas semeaduras realizadas em 15-09 e 30-09. Semeaduras tardias (16-11 e 03-12) afetam negativamente o desempenho dos caracteres produtivos e morfológicos dos híbridos. Entre os elementos meteorológicos estudados, a temperatura mínima apresenta a maior contribuição para os valores de produtividade. Palavras-chave adicionais: delineamento experimental; variáveis meteorológicas; Zea mays. AbstractThis study aimed to evaluate the influence of meteorological parameters on morphological and productive characteristics of corn in different sowing dates. The experimental design was a randomized complete block in a factorial 2x6, with two corn hybrids (Dekalb 240 and Dow AgroSciences 2A106), and six sowing dates (09/15/2013, 30/09, 15/10, 30/10, 16/11 e 03/12, 2013), with three replications. We evaluated the plant height, ear diameter, ear length, number of row per ear, number of kernels per row, diameter of the cob, thousand grain weight and productivity. It performed the analysis of variance and the Tukey test for the factors sowing dates and hybrids. Was held still the Pearson correlation and the stepwise variable selection procedure of regression modeling. Morphological and productive characteristics of corn hybrids are influenced by meteorological elements in different sowing dates. Overall, both the hybrid D240 as 2A106 show better results versus the variables in spreading performed in 15/09 and 30/09. Late sowing (16/11 and 03/12) adversely affect the performance of the productive and morphological characters of hybrids. Among the weather elements studied, the minimum temperature has the highest contribution to the productivity values.

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Desenvolvimento de modelo agrometeorológico espectral para estimativa de rendimento do milho na Província de Manica-Moçambique

Cited by 4 publications

References 4 publications

Monitoring Heat Waves and Their Impacts on Summer Crop Development in Southern Brazil

Monitoring Heat Waves and Their Impacts on Summer Crop Development in Southern Brazil

NDVI and meteorological data as indicators of the Pampa biome natural grasslands growth

Elementos meteorológicos sobre características morfológicas e produtivas do milho em diferentes épocas de semeadura

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