2020
DOI: 10.1590/1809-4430-eng.agric.v40n6p732-739/2020
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Influence of Seed Tube Curvature on Seed Longitudinal Distribution

Abstract: Studies on the longitudinal distribution of seeds in the sowing row seek to improve crop homogeneity, thus generating high productivity. In this context, seed tubes must be analyzed for their angular curvature. Thus, this study aimed to evaluate the influence of the seed tube curvature on the longitudinal distribution of corn and soybean seeds at different speeds. Two experiments were conducted completely randomized in a double factorial design. The first factor consisted of the seed tube curvature (straight a… Show more

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Cited by 9 publications
(11 citation statements)
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References 17 publications
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“…The alternative tubes showed a directly proportional relationship with the average working angle, presenting 94.75%, 88.83%, 83.13% of acceptable, respectively for T2, T3, T4, which sowed at angles of 15.6°, 11 .7° and 0°. The result corroborates the results presented by Savi et al (2020) confirming a positive influence of the tube angulation on the number of acceptable spacings, the greater the angulation, the greater the number of acceptable spacings, Carpes et al (2017) found better distribution results for angles with an exit of 30°.…”
Section: Resultssupporting
confidence: 89%
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“…The alternative tubes showed a directly proportional relationship with the average working angle, presenting 94.75%, 88.83%, 83.13% of acceptable, respectively for T2, T3, T4, which sowed at angles of 15.6°, 11 .7° and 0°. The result corroborates the results presented by Savi et al (2020) confirming a positive influence of the tube angulation on the number of acceptable spacings, the greater the angulation, the greater the number of acceptable spacings, Carpes et al (2017) found better distribution results for angles with an exit of 30°.…”
Section: Resultssupporting
confidence: 89%
“…At the speed of 5 km h -1 , in both variables, T4 presented the highest value, differing from the other conductive mechanisms, being possible to observe a 74-fold increase in the percentage of multiples between T4 (7.4%), and the lowest percentage obtained (0.1%) for T1. Regarding the coefficient of variation, T1 also presented a lower index of multiples (13.5%), 36% lower than the index presented by T4 (36.58%), corroborating Savi et al (2020), who found a double index and CVe 2.58 and 1.63 times higher for straight conductors compared to those with working curvature.…”
Section: Resultssupporting
confidence: 76%
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“…The automation performed on static distribution simulation benches emerges as an alternative to meet this demand, allowing the assessment of the metering mechanisms used for seed (Savi et al, 2020) and fertilizer distribution (Zimmermann et al, 2020) at different velocities and inclinations, with no interference from external factors. A more efficient assessment can be carried out using a data acquisition system customized according to the test requirements (Jasper et al, 2016), generating an almost infinite amount of data and enabling precise and accurate detection of the deposition of a single fertilizer granule.…”
Section: Introductionmentioning
confidence: 99%
“…Resultados semelhantes foram encontrados por , ao constatar que com o aumento da velocidade houve a redução do número de sementes de soja por metro ao avaliar um mecanismo dosador pneumático. Outros autores como Damasceno (2017) e Savi et al (2020), ao avaliarem a distribuição de sementes de soja, também observaram que com o aumento de velocidade o número de sementes por metro reduziu.…”
Section: Taxa De Distribuição De Sementes Por Metro Linearunclassified