Productive performance of soybean cultivars grown in different plant densities

Ribeiro, Augusto Belchior Marchetti; Bruzi, Adriano Teodoro; Zuffo, Alan Mário; Zambiazzi, Everton Vinícius; Soares, Igor Oliveri; Vilela, Nelson Júnior Dias; Pereira, José Luiz de Andrade Rezende; Moreira, Silvino Guimarães

doi:10.1590/0103-8478cr20160928

Cited by 17 publications

(18 citation statements)

References 10 publications

(9 reference statements)

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“…The insertion height of the first pod showed within the studied interval a linear increase as a function of increasing sowing density (Figure 3, A). It is a result that corroborates with those found by Mauad, Silva, Almeida-Neto and Abreu (2010) and Ribeiro et al (2017) in which they reported that for the insertion height of the first pod, it could be observed that the increase in the number of plants per hectare provides an increase in the insertion height.…”

Section: Resultssupporting

confidence: 91%

“…In research conducted and evaluated in the state of Minas Gerais, similar results regarding the nonsignificant effect for interaction cultivars vs densities were reported by Bisinella and Simonetti (2017) for the parameters root and aerial part length and by Ribeiro et al (2017) for plant height, number of pods, number of grains and number of grains per pod when studying the productive performance of soybean grown at different densities. As well as the present work, Ribeiro et al (2017) selected soybean cultivars with similarity in maturity timing (similar maturity group among the assessed cultivars) and growth habit (indeterminate). Moreover, they reported the need to conduct and evaluate tests in different locations to measure the effects of cultivation sites.…”

Section: Resultssupporting

confidence: 76%

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Vegetative and productive performance of two soybean cultivars at different plant densities

Bomtempo¹,

Matsuo²,

Oda³

2021

ASB J.

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The spatial arrangement and plant population have been highlighted as fundamental tools for increasing productivity. The objective was to evaluate the vegetative and productive performance of two soybean cultivars at different plant densities. Seeds of soybean cultivars (TMG 7063 IPRO and BS 2606 IPRO), recommended for the Alto Paranaíba region in the state Minas Gerais, were used and sown at seven different densities (8, 10, 12, 14, 16, 18 and 20 plants meter-1, equivalent to 160, 200, 240, 280, 280, 320, 360 and 400 thousand plants hectare-1, where they were evaluated in the development stages R1 (plant height) and R8 (height of the insertion of the first pod, plant height, number of nodes, number of branches, productivity per plant and productivity per hectare). The experiment was set up according to a randomized block design, in the factorial scheme A x B, being factor A composed by the cultivars and factor B by plant densities with three repetitions (blocks). Increased plant population resulted in greater first pod insertion height and final plant height, fewer nodes and branches and the average yield per hectare increased linearly, with the TMG 7063 IPRO cultivar being more productive under these conditions (52.7 bags of 60 kg per hectare).

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Section: Resultssupporting

confidence: 91%

Section: Resultssupporting

confidence: 76%

Vegetative and productive performance of two soybean cultivars at different plant densities

Bomtempo¹,

Matsuo²,

Oda³

2021

ASB J.

View full text Add to dashboard Cite

show abstract

“…Another hypothesis is that the greater accumulation of photoassimilates leads to greater fruiting [34]. The number of grains per pod is a characteristic with high uniformity and is not impacted by EDAS (Table 5), since it does not respond to intraspecific competition [35]. The absence of significant variations in the number of grains per pod implies that the number of grains per plant only corroborates the differences caused by the EDAS in the number of pods per plant.…”

Section: Discussionmentioning

confidence: 97%

Soybean Seed Vigor: Uniformity and Growth as Key Factors to Improve Yield

et al. 2020

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Emergence uniformity and the time required for emergence are essential factors for obtaining highly productive potential in plants. Factors such as sowing depth and soil moisture affect uniformity and emergence, but little is known about the impacts of seed vigor. Thus, we determined the impacts of seed vigor on uniformity and growth as well as development and yield in soybean (Glycine max [L.] Merrill) plants. The treatments consisted of four vigor levels (89%, 57%, 47%, and 43%) obtained by accelerated aging, in a randomized block design, with five replicates at three sites. Seeds with the highest vigor level showed higher uniformity and faster emergence. Dominated plants through their phenotypic plasticity modify stem diameter and internode length. The plants that emerged earlier had a larger leaf area in the three stages (V1, V4, and R2), allowing them to accumulate more photoassimilates in the initial stages. Consequently, these plants exhibited an increase in yield components, especially in the number of fertile nodes and the number of pods per plant, making them more productive.

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“…It is noted that, except for plot number 8, every plot aforementioned is in the group with the introduction of 15 plants m -1 . This finding may be explained by the 2015/2016 harvest based on the report published by RIBEIRO et al (2017) which stated that in low densities soybean plants tend to produce more branches and; therefore, increase the number of pods per plant and the number of grains by pod as well. As a result, there are fewer plants per area and increased production by each individual.…”

Section: Achieved Productivitymentioning

confidence: 99%

Productivity of soybean in management zones with application of different sowing densities

et al. 2018

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The present study aimed to assess the efficiency of sowing at variable rates for soybean cultivation in two management zones (MZs) which were defined based on stable attributes and correlated with productivity using the Fuzzy C-means clustering algorithm and the kriging interpolation.Seeding was carried out in the 2015/2016 and 2017/2018 crops with a variation of 20% of seeds and crop row spacing of 0.70m. In each MZ, 8 plots with higher and lower seed density were established. Productivity was measured using a harvest monitor connected to a harvester. Data were filtered and submitted to descriptive analysis. Productivity maps were generated using the inverse square distance interpolation for each seeding density. In the MZ with the highest productive potential (MZ 1), the productivity was 3.39 and 3.18t ha-1, and in the MZ with the lowest productive potential (MZ 2) the productivity was 3.30 and 3.11t ha-1 for the years 2016 and 2018, respectively. Interpolation estimated higher productivity with the application of 15 plants m-1. Based on the economic analysis, it is suggested in this study the application of 214,000 plants ha-1 in both MZs.

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Productive performance of soybean cultivars grown in different plant densities

Cited by 17 publications

References 10 publications

Vegetative and productive performance of two soybean cultivars at different plant densities

Vegetative and productive performance of two soybean cultivars at different plant densities

Soybean Seed Vigor: Uniformity and Growth as Key Factors to Improve Yield

Productivity of soybean in management zones with application of different sowing densities

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