Aderson Soares Andrade Junior

Dr. Aderson Soares Andrade Junior

orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2021 in European Journal of Agronomy
Verified
Journal Article
Closed access
ESEvandro Henrique Figueiredo Moura da Silva
Evandro Henrique Figueiredo Moura da Silva
LALuis Alberto Silva Antolin
Luis Alberto Silva Antolin
AZAlencar Junior Zanon
Alencar Junior Zanon
AJAderson Soares Andrade Junior
Aderson Soares Andrade Junior
HSHenrique Antunes De Souza
Henrique Antunes De Souza
FMFabio Ricardo Marin
Fabio Ricardo Marin

6 May 2023 in Plants
Verified
Journal Article
Open access
PDF file
ISIngrid Silva Setubal
Ingrid Silva Setubal
AJAderson Soares Andrade Junior
Aderson Soares Andrade Junior
SSSilvestre Paulino da Silva
Silvestre Paulino da Silva
ARArtenisa Cerqueira Rodrigues
Artenisa Cerqueira Rodrigues
ABAurenívia Bonifácio
Aurenívia Bonifácio
HSHenrique Antunes De Souza
Henrique Antunes De Souza
This study aimed to investigate the influence of water availability and nitrogen fertilization on plant growth, nutrient dynamics, and variables related to soybean crop yield. Trials were performed in Teresina, Piauí, Brazil, using randomized blocks in a split-split plot arrangement. The plots corresponded to water regimes (full and deficient), the split plots to N fertilization (0 and 1000 kg ha−1 N-urea), and the split-split plots to harvest times of soybean plants (16, 23, 30, 37, 44, 58, 65, 79 and 86 days after emergence), with three replicates. In general, the accumulation and partitioning of nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sulphur (S), copper (Cu), iron (Fe), manganese (Mn), zinc (Zn) and boron (B) were decreased in plants subjected to water deficit and without N fertilization. Although nitrogen fertilization promoted elevated N accumulation in tissues, it did not result in any significant yield gain, and the highest seed yields were found in plants under full irrigation, regardless of N supplementation. However, deficient irrigation decreased the seed oil content of N-fertilized plants. In conclusion, N fertilization is critical for nutrient homeostasis, and water availability impairs biomass and nutrient accumulation, thereby limiting soybean yield performance.

1 June 2017 in Pesquisa Agropecuária Brasileira
Verified
Journal Article
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JAJoão Carlos Rocha dos Anjos
João Carlos Rocha dos Anjos
AJAderson Soares Andrade Junior
Aderson Soares Andrade Junior
EBEdson Alves Bastos
Edson Alves Bastos
DNDonavan Holanda Noleto
Donavan Holanda Noleto
FMFrancisco de Brito Melo
Francisco de Brito Melo
RBRaimundo Rodrigues de Brito
Raimundo Rodrigues de Brito
The objective of this work was to evaluate water storage in a Plinthaqualf under different straw levels during the fourth ratoon season of a sugarcane (Saccharum officinarum) crop. The study was conducted in the 2013/2014 crop season, with the cultivar SP-813250, at two soil depths (0.0-0.3 and 0.3-0.6 m), in a randomized complete block design, with five straw levels (0.0, 4.2, 9.5, 13.0, and 18.4 Mg ha-1) and four replicates. Soil moisture content was monitored with a time-domain reflectometer. The straw provided gains of up to 20 Mg ha-1 stems and kept increased water storage in the soil, in comparison with the soil without straw, in all evaluated periods. Maintenance of up to 50% (9.5 Mg ha-1) of sugarcane straw on soil surface promotes better water retention in the soil per Mg of straw added and delays the reach of critical water storage in the soil by up to 11 days, when compared with soil without straw cover.

1 March 2022 in Revista Caatinga
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Journal Article
Open access
TAThatiane Gomes Andrade
Thatiane Gomes Andrade
AJAderson Soares Andrade Junior
Aderson Soares Andrade Junior
MSMelissa Oda Souza
Melissa Oda Souza
JLJosé Wellington Batista Lopes
José Wellington Batista Lopes
PVPaulo Fernando de Melo Jorge Vieira
Paulo Fernando de Melo Jorge Vieira
Recent researches have shown promising results for the use of orbital data using the Normalized Difference Vegetation Index (NDVI) to monitor and predict soybean grain yield. The objective of this work was to evaluate propositions of multiple linear regression models to predict soybean grain yield using NDVI. The research was carried out at the Celeiro Farm, in Monte Alegre do Piauí, PI, Brazil, in an area of 200 ha. Five images were collected during the soybean crop cycle: one from the Landsat 8 and four from the Sentinel 2. Regression analyses were carried out between grain yield data (predicted variable) extracted from harvest maps and spectral data (predictor variables) from NDVI of soybean crops at different developmental stages. The promising models were selected by the Akaike Information Criterion (AIC). The models were validated using Root Mean Square Error (RMSE) and Normalized Root Mean Square Error (nRMSE), considering the mean of soybean yield of the plot. The linear regression models developed with NDVI for the V5-V6 and R2 developmental stages showed promising results for the prediction of soybean grain yield, with mean error of predictions of 153.9 kg ha-1, representing 4.2% when compared to the data from field measures.

1 January 2020 in Pesquisa Agropecuária Tropical
Verified
Journal Article
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GSGabriela Sabrine França Silva
Gabriela Sabrine França Silva
AJAderson Soares Andrade Junior
Aderson Soares Andrade Junior
MCMilton José Cardoso
Milton José Cardoso
RNRaimundo Bezerra de Araújo Neto
Raimundo Bezerra de Araújo Neto
In intercropping systems, a high plant density can delay the biomass accumulation and affect the water availability to plants. This study aimed to evaluate the soil water dynamics and the crop yield performance in maize and Brachiaria ruziziensis intercropping under different sowing densities of the forage grass. The experiment was conducted in a randomized block design, with treatments associated to the sowing densities (2 kg ha-1, 4 kg ha-1, 6 kg ha-1 and 8 kg ha-1) and the single cropping for both species as controls. The maize plants were evaluated for grain yield and B. ruziziensis for number of plants per hectare and shoot fresh and dry matter. The intercropping performance was evaluated using the land-use efficiency index. The soil water dynamics was monitored in two soil depths (0-0.3 m and 0.3-0.6 m) by using the time domain reflectometry method. The evaluation of soil water storage was carried out from plots with four of the crop systems (single maize or B. ruziziensis, and intercropping with the extreme sowing densities), at four different times. The increase in the sowing density of B. ruziziensis decreased the grain yield of the intercropped maize by 30.8 %. The intercropping system using 2 kg ha-1 of the grass seeds resulted in the best land-use efficiency (23 %). In addition, the intercropping treatments promoted a higher extraction of water from the soil, mainly at the maize growth stages with higher hydric demand (e.g., flowering and grain filling). These systems stimulate the extraction of water from deeper soil layers, when compared to maize in single cropping.

1 January 2022 in Engenharia Agrícola
Verified
Journal Article
Open access
AJAderson Soares Andrade Junior
Aderson Soares Andrade Junior
SSSilvestre P. da Silva
Silvestre P. da Silva
ISIngrid S. Setúbal
Ingrid S. Setúbal
HSHenrique A. de Souza
Henrique A. de Souza
PVPaulo F. de M. J. Vieira
Paulo F. de M. J. Vieira