Soybean growth affected by seeding rate and mineral nitrogen

Werner, Flávia; Balbinot, Alvadi Antônio; Ferreira, André Sampaio; Silva, Marcelo A. de A. e; Debiasi, Henrique; Franchini, J. C.

doi:10.1590/1807-1929/agriambi.v20n8p734-738

Cited by 34 publications

(41 citation statements)

References 15 publications

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“…This result is corroborated by Werner et al (2016), because in this period the higher number of plants results in higher biomass accumulation per area. On the other hand, these authors found that, at the beginning of grain filling, seeding rate has no influence on total SDM.…”

Section: Resultssupporting

confidence: 58%

“…In the 2014/15 season, leaf/stem ratio at 45 DAS decreased linearly with the increment in seeding rate (Figure 2A), indicating that the increase in intraspecific competition reduced the allocation of photoassimilates in the leaves, compared with the stem, as found by Werner et al (2016). According to Procópio et al (2013), at low densities, soybean plants accumulate more biomass in the leaves, in detriment of stem, to increase the interception of light incident on the canopy.…”

Section: Resultsmentioning

confidence: 84%

“…In contrast, at high plant densities, there is less branching and the production of each plant is lower and more dependent on the main stem Werner et al, 2016).…”

Section: Introductionmentioning

confidence: 92%

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Soybean agronomic performance in response to seeding rate and phosphate and potassium fertilization

Ferreira

Balbinot

Werner

et al. 2018

Rev. bras. eng. agríc. ambient.

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A B S T R A C TMost studies that found soybean high phenotypic plasticity under different seeding rates adopted the same fertilization levels used for the recommended seeding rates. Therefore, the interaction between these factors is little known. This study aims to assess the interaction between seeding rate and levels of phosphorus and potassium fertilization on soybean growth, grain yield and contents of protein and oil in the grains. The experiment was carried out under a randomized complete block design, in a split-plot scheme, with six replicates. Four seeding rates (150, 300, 440 and 560 thousand viable seeds ha -1 ) were used in the plots, and two levels of phosphorus and potassium fertilizer were applied in the subplots to meet the export of 3 and 6 t ha -1 of grains (level 1 = 30 kg ha -1 of P 2 O 5 + 60 kg ha -1 of K 2 O; and level 2 = 60 kg ha -1 of P 2 O 5 + 120 kg ha -1 of K 2 O). There was no interaction between the experimental factors. Increase in fertilizer doses did not alter the evaluated characteristics, regardless of the seeding rate. Seeding rate did not change grain yield or protein and oil contents, but at low densities there was an increase in the number of pods per plant, apparent harvest index and SPAD index.Desempenho agronômico da soja em resposta à densidade de semeadura e fertilização fosfatada e potássica R E S U M O A maioria das pesquisas que constataram a plasticidade da soja em resposta a modificações na densidade de semeadura adotou os mesmos níveis de fertilização fosfatada e potássica utilizados para as densidades recomendadas. Portanto, a interação entre esses fatores é pouco conhecida. O objetivo foi investigar a interação entre densidade de semeadura e níveis de adubação fosfatada e potássica no crescimento vegetativo, desempenho produtivo e teores de óleo e proteína nos grãos de soja. O experimento foi conduzido, sob delineamento experimental de blocos casualizados, em parcelas subdivididas, com seis repetições. Nas parcelas foram alocadas quatro densidades de semeadura (150, 300, 440 e 560 mil sementes viáveis ha -1 ) e nas subparcelas dois níveis de fertilização (nível 1 = 30 kg ha -1 de P 2 O 5 + 60 kg ha -1 de K 2 O; e nível 2 = 60 kg ha -1 de P 2 O 5 + 120 kg ha -1 de K 2 O). Não houve interação entre os fatores. O aumento das doses de fertilizantes não alterou as características avaliadas independentemente da densidade de semeadura. A densidade não alterou a produtividade e os teores de proteína e óleo nos grãos, mas em baixas densidades houve aumento no número de vagens por planta, índice de colheita aparente e índice SPAD. Key words:Glycine max (L.) Merrill plant spatial arrangement fertilization plant density Palavras-chave:Glycine max (L.) Merrill arranjo espacial de plantas adubação densidade de plantas

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Section: Resultssupporting

confidence: 58%

Section: Resultsmentioning

confidence: 84%

See 1 more Smart Citation

Soybean agronomic performance in response to seeding rate and phosphate and potassium fertilization

Ferreira

Balbinot

Werner

et al. 2018

Rev. bras. eng. agríc. ambient.

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“…This leads to a research updating towards plant spatial arrangement, aiming to increase grain yield and crop profitability (Balbinot Junior et al, 2015a;Werner et al, 2016). Hence, alternative spatial arrangements such as narrow row spacing (0.20 to 0.30 m) (Balbinot Junior et al, 2015b) and crossed rows have been studied, in which half of the seeds are sown in one direction and the other half to the transverse direction (Balbinot Junior et al, 2015a).…”

Section: Introductionmentioning

confidence: 99%

“…The spatial arrangement of soybean plants can be altered by sowing rate, which modifies intraspecific competition for water, light, and nutrients, influencing plant growth, canopy architecture, phytosanitary management, and grain yield (Procópio et al, 2013;Ferreira et al, 2016;Werner et al, 2016). Studies have demonstrated the high phenotypic plasticity of soybean, modifying growth and yield components as a function of the number of individuals per area.…”

Section: Introductionmentioning

confidence: 99%

Analysis of phenotypic plasticity in indeterminate soybean cultivars under different row spacing

Balbinot¹,

Oliveira²,

Zucareli³

et al. 2018

Aust J Crop Sci

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This study aimed to evaluate how branch and stem variables contribute to grain yield per plant of two indeterminate soybean cultivars at varied row spacing. Four experiments were conducted in the 2013/14 and 2014/15 cropping seasons under a randomized complete block design with three replications. Each experiment consisted of one row spacing: 0.2 m (narrow row), 0.5 m (traditional), 0.5 m (crossed rows), and 0.2/0.8 m (twin rows). We evaluated two cultivars (BRS 359 RR and BMX RR Potência) and three seeding rates: 150, 300, and 450 thousand seeds ha -1. Regarding phenotypic plasticity, grain production per plant was regarded as a dependent variable, while the number of branches per plant, the percentage of grain production from branches, and yield components of branches and stems as independent variables. Data underwent stepwise regression and principal component analysis. The results showed that number of pods per plant from branches is the most determinant variable of plasticity trait, regardless of row spacing. The number of pods per plant from branches and stems, the number of branches per plant, and the percentage of grain production from branches were associated with the plasticity. The number of grains per pod and the thousandgrain mass from branches and stems had no significant contribution to the soybean plasticity. Keywords:Glycine max (L.) Merrill; row spacing; seeding rate; stem; branches. Abbreviations: PROD_grain production per plant; NBPL_number of branches per plant; NPPLB_ number of pods per plant from branches; NPPLS_number of pods per plant from stems; NGPB_ number of grains per pod from branches; NGPS_number of grains per pod from stems; TGMB_thousand-grain mass from branches; TGMS_thousand-grain mass from stems; PGB_grain production from branches in %; SCWB_sequential climatological water balance; PCA_principal component analysis

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Density, not tillage, increases soybean protein concentration in some southeastern US environments

et al. 2023

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Management decisions like planting density and tillage could influence soybean seed composition through their impacts on competition and soil properties. To determine if either of these management decisions could help improve soybean [Glycine max (L.) Merr.] seed quality in the southeastern United States, field experiments were conducted to evaluate the impact of planting density and tillage on seed composition. Five soybean genotypes were examined in multiple environments across three plant densities from 204,000 to 476,000 plants ha −1 , and in conventional tillage compared to no-till. In two of the three environments, seed protein concentration was higher at higher plant densities. Tillage did not affect seed protein concentration, but conventional tillage improved yield when compared with no-till in two of four environments, resulting in higher protein yield under conventional tillage in these environments. Plant density may be an important management decision to consider for improving soybean seed protein in specific environments in the southeastern United States, and further research could help determine the specific environmental attributes that lead to a density benefit for seed protein.

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Soybean growth affected by seeding rate and mineral nitrogen

Cited by 34 publications

References 15 publications

Soybean agronomic performance in response to seeding rate and phosphate and potassium fertilization

Soybean agronomic performance in response to seeding rate and phosphate and potassium fertilization

Analysis of phenotypic plasticity in indeterminate soybean cultivars under different row spacing

Density, not tillage, increases soybean protein concentration in some southeastern US environments

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