Seeder Performance under Different Speeds and its Relation to Soybean Cultivars Yield

Brandelero, Evandro Martin; Adami, Paulo Fernando; Modolo, Alcir José; Baesso, Murilo Mesquita; Fabian, Adelar José

doi:10.3923/ja.2015.139.145

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…Soybean (Glycine max [L.] Merr) seed germination and emergence are important components of the crops cycle as uniform stand establishment have been documented to have a positive correlation with in-season crop growth and development and final yield [1]- [8]. Seed emergence is, therefore, a critical stage that ends with dependence on stored reserves and starts an autotrophic life with the production of chloroplast in the developing organs aboveground.…”

Section: Introductionmentioning

confidence: 99%

Quantifying and Validating Soybean Seed Emergence Model as a Function of Temperature

Alsajri¹,

Wijewardana²,

Krutz³

et al. 2019

AJPS

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Developing a model for soybean seed emergence offers a tool producers could use for planting date options and in predicting seedling emergence. In this study, temperature effects on soybean seed emergence were quantified, modeled, and validated. The data for seed emergence model development was generated at varying temperatures, 20˚C/12˚C, 25˚C/17˚C, 30˚C/22˚C, 35˚C/27˚C, and 40˚C/32˚C, on two soybean cultivars, Asgrow AG5332 and Progeny P 5333 RY. Time for 50% emergence (t50%) was recorded, and seed emergence rate (SER) was estimated as reciprocal to time at each temperature in both the cultivars. No differences were observed between the cultivars in their response to temperature. A quadratic model (QM) best described the relationship between t50% and SGR and temperature (R 2 = 0.93). Two sets of experiments were conducted to validate the model. In Experiment 1, 17 time-series planting date studies with the same cultivars were used by utilizing diurnal and seasonal changes in temperature conditions. In the second experiment, sunlit growth chambers with 3 different day/night temperatures, low-20˚C/12˚C, optimum-30˚C/22˚C, and high-40˚C/32˚C, and 64 soybean cultivars belonging MG III, IV, and V, were used. Air temperature and t50 were recorded, and SGR was estimated in all experiments. No differences were recorded among the cultivars for t50% and SGR, but differences were observed among seeding date and temperature experiments. We tested QM and traditionally used Growing Degree Days models against the data collected in validation experiments. Both the model simulations predictions agreed closely with the observed data.

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Section: Introductionmentioning

confidence: 99%

Quantifying and Validating Soybean Seed Emergence Model as a Function of Temperature

Alsajri¹,

Wijewardana²,

Krutz³

et al. 2019

AJPS

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“…Resultados semelhantes foram encontrados na cultura do milho semeada em diferentes velocidades de semeadura onde houve aumento dos espaçamentos FA e MU e menor percentagem de AC para descolamento a 9,0 km h -1 (NADIN et al, 2019). Em soja, o aumento da velocidade de semeadura afetou a deposição vertical e longitudinal da semente, com maior número de sementes expostas devido a mobilização do solo e sulcos sem fechamento adequado, contribuindo na redução da produtividade (BRANDELERO et al, 2015). Todavia, a capacidade operacional é reduzida para semeaduras realizadas em baixas velocidades, fator limitante em áreas maiores de canola com máquinas mal dimensionadas.…”

Section: Resultados E Discussõesunclassified

Aumento Da Velocidade De Semeadura Altera a Distribuição De Plantas De Canola

et al. 2021

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A canola (Brassica napus L. var oleífera) é uma cultura alternativa de inverno para rotação, cuja plantabilidade pode ser afetada pela velocidade de semeadura. O objetivo da pesquisa foi avaliar os efeitos da velocidade de semeadura na distribuição de plantas e produtividade da canola. O experimento de campo foi conduzido no ano de 2017 em delineamento experimental de blocos ao acaso com quatro repetições. A cultivar de canola Hyola 61 foi utilizada na semeadura realizada em cinco velocidades de distribuição (2,0; 2,9; 5,3; 7,8; 9,2 km h-1), em fileiras espaçadas a 45 cm e ajustado para distribuir 18 plantas m-1. As variáveis analisadas foram número de plantas m-2, relação entre a população real e a população de referência, espaçamentos múltiplos, aceitáveis e falhos, média das distâncias entre plantas, precisão de distribuição e produtividade de grãos. O aumento da velocidade de semeadura proporcionou maior desuniformidade de distribuição com aumento de espaços falhos e múltiplos bem como redução na percentagem de espaçamentos aceitáveis. A semeadura na velocidade entre 2,0 a 5,3 km h-1 foi considerada satisfatória para proporcionar melhor uniformidade e distribuição das plantas na fileira. A precisão e a produtividade da canola não foram afetadas pelo aumento da velocidade de semeadura. Assim, a qualidade da semeadura da canola depende do ajuste da velocidade de distribuição das sementes.

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“…The eSet metering unit had overall about 1% lower emergence percentage, but more uniform plant spacing distribution and higher yield compared to the standard metering system (Virk et al., 2020). In soybean, seed delivery accuracy declined (increased double planting, and decreased acceptable within‐row plant spacing), and grain yield decreased as planting speed increased up to 9 kph with a drill and row planter in Brazil (Bortoli et al., 2021; Brandelero et al., 2015).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a high‐speed planter in soybean production

Kovács

Casteel

2023

Agronomy Journal

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Timely and quality planting of soybean is important to achieve maximum yield potential. Wet spring soil conditions and rain frequently shorten the time for farmers to plant crops within optimal soil conditions. New planter technology has been introduced that enables farmers to plant their fields faster and more precisely than with traditional planters. Large plot field studies were conducted in Indiana from 2015 to 2017 to evaluate a high-speed planter at various planting speeds with multiple seeding rates on soybean. Seedling emergence, plant distribution, and final yield were evaluated. Three planting speeds [8, 12, and 16 kilometers per hour (kph)] and two seeding rates (222,000 and 321,000 seeds ha −1 ) were included in all years, and an additional planting speed and seeding rate were included in 2016 (20 kph and 420,000 seeds ha −1 , respectively). Overall, planting speed did not impact soybean seedling emergence. Uniformity of plant spacing decreased slightly as the planting speed increased from 8 to 20 kph in 2016. Cool and wet conditions immediately after planting likely led to inconsistent emergence. Final grain yield was not affected by planting speeds or seeding rate except in 2017 when 12 kph planting speed yielded 0.25 Mg ha −1 higher than the other planting speeds. Increasing planting speed can be achieved without detrimentally affecting plant population, plant spacing, and yield in soybean.

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Seeder Performance under Different Speeds and its Relation to Soybean Cultivars Yield

Cited by 9 publications

References 9 publications

Quantifying and Validating Soybean Seed Emergence Model as a Function of Temperature

Quantifying and Validating Soybean Seed Emergence Model as a Function of Temperature

Aumento Da Velocidade De Semeadura Altera a Distribuição De Plantas De Canola

Evaluation of a high‐speed planter in soybean production

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