Elevada densidade de semeadura aumenta a produtividade da soja? Respostas da radiação fotossinteticamente ativa

Petter, Fabiano André; Silva, Jodean Alves da; Zuffo, Alan Mário; Andrade, Fabrício Ribeiro; Pacheco, Leandro Pereira; Almeida, Fernandes Antônio de

doi:10.1590/1678-4499.447

Cited by 41 publications

(43 citation statements)

References 21 publications

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“…Currently, some soybean producers, aiming to increase grain yield, opted for dense sowing in soybean cultivation (PETTER et al, 2016). Interaction between plant, production environment and management will define the culture yield.…”

Section: Introductionmentioning

confidence: 99%

Productive performance of soybean cultivars grown in different plant densities

et al. 2017

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Plants density in soybean cultivation is an important management practice to achieve high grain yield. In this way, the objective was to evaluate the agronomic traits and grain yield in soybean in different plant densities, in two locations in the south of Minas Gerais. The experimental design was in randomized blocks, arranged in a split plot design, with three replications. Plots were composed of four population densities (300, 400, 500 and 600 thousand plants per hectare) and the subplots were composed of six cultivars (‘BMX Força RR’, ‘CD 250 RR’, ‘FMT 08 - 60.346/1’, ‘NA 5909 RR’, ‘TMG 7161 RR’ and ‘V - TOP RR’) grown in Lavras and Inconfidentes, both in Minas Gerais. At the time of harvest was determined the plant height, lodging, insertion of the first pod, harvest index, number of pods per plant, number of grains, number of grains per pod and yield. Regardless of the soybean cultivar, the plant density of up to 600,000 per ha does not affect grain yield, plant height, lodging, harvest index, and number of grains per pod. The cultivars ‘V-TOP RR’ and ‘BMX FORÇA RR’ showed high grain yield and good agronomic traits in Lavras and Incofidentes.

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Section: Introductionmentioning

confidence: 99%

Productive performance of soybean cultivars grown in different plant densities

et al. 2017

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“…These variables were highest under 30% shading in the V5 stage (Figure 4). Petter et al (2016) also found a higher relative growth rate of soybean in the early stages of growth and a subsequent decrease.…”

Section: /7mentioning

confidence: 74%

“…When grown in environments that provide distinct levels of shading, soybean plants present a differential ability to convert the absorbed solar radiation in to photoassimilates. Higher solar radiation incidence is not always linked to greater radiation use efficiency and phytomass conversion, or consequent yield, because the solar radiation may be restricted to the upper canopy (Petter et al, 2016). The increased solar radiation use efficiency at 70% shading may be associated with increased amounts of diffuse solar radiation incident within the shading screen, thus modifying the microclimate inside the canopy, promoting greater interception of the radiation by the lower leaves and, consequently increasing radiation use efficiency (Sanquetta et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

Effect of artificial shading on soybean growth and yield

Tibolla

Schwerz

Sgarbossa

et al. 2019

Agraria

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Soybean (Glycine max) stands out in the agricultural scene, being one of the main sources of protein and oil for human and animal nutrition. The aim of this study was to evaluate the growth, radiation use efficiency, and the yield of soybean, cultivated under four levels of artificial shading to simulate the environment provided by an agroforestry system. A field experiment was conducted in Frederico Westphalen, Rio Grande do Sul, Brazil, from December 2015 to April 2016. The experimental design was completely randomized with four levels of shading (0, 30, 50, and 70%) as treatment, and eight collections of plants at specific growth stages. The growth and yield traits of the soybean crop are influenced differently as a function of shade levels. Thus, the simulation of an agroforestry system from artificial shading allowed the recommendation of soybean cultivation for intercropping systems, provided that the interception of solar radiation by the tree component is less than 30%, in order to enable soybean cultivation. Efeito do sombreamento artificial no crescimento e produtividade da sojaRESUMO: A soja (Glycine max) destaca-se no cenário agrícola mundial, sendo uma das principais fontes de proteína e óleo para nutrição humana e animal. O objetivo deste estudo foi avaliar o crescimento, a eficiência do uso da radiação e a produtividade da soja cultivada sob quatro níveis de sombreamento artificial visando similar o ambiente proporcionado por um Sistema agroflorestal. Um experiment de campo foi conduzido em Frederico Westphalen, Rio Grande do Sul, de dezembro de 2015 a abril de 2016. O delineamento experimental empregado foi o inteiramente casualizado com quatro níveis de sombreamento (0, 30, 50 e 70%) como tratamento, e oito coletas de plantas em estádios específicos de crescimento. As características de crescimento e produtivas da cultura da soja são influenciadas diferentemente em função dos níveis de sombreamento. Assim, a simulação de um Sistema agroflorestal a partir de sombreamento artificial permitiu a recomendação do cultivo da soja para sistemas consorciados, desde que a interceptação da radiação solar pelo componente arbóreo seja inferior a 30%, a fim de viabilizar o cultivo da soja. Palavras-chave: sistemas agroflorestais; Glycine max; análise de crescimento; variáveis meteorológicas; radiação solarEffect of artificial shading on soybean growth and yield Rev. Bras.

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“…Studies have demonstrated the high phenotypic plasticity of soybean, modifying growth and yield components as a function of the number of individuals per area. This trait helps maintaining a constant productivity in a wide range of plant densities (Rambo et al, 2004;Lee et al, 2008;Board and Kahlon, 2013;Procópio et al, 2013;De Luca and Hungria, 2014;Suhre et al, 2014;Moreira et al, 2015;Petter et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…However, the majority of soybean cultivars released in the last decade have an indeterminate growth type, and lower branching and vegetative growth (Procópio et al, 2013;Zanon et al, 2015;Werner et al, 2016). Recent studies have shown that despite the morphophysiological changes, currently used cultivars present a high plasticity; hence, yield per area varies little with significant alterations in plant density and row spacing Petter et al, 2016).…”

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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Elevada densidade de semeadura aumenta a produtividade da soja? Respostas da radiação fotossinteticamente ativa

Cited by 41 publications

References 21 publications

Productive performance of soybean cultivars grown in different plant densities

Productive performance of soybean cultivars grown in different plant densities

Effect of artificial shading on soybean growth and yield

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

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