Medida de regularidade do espaçamento de plantas de milho em diferentes                sistemas de manejo

Storck, Lindolfo; Modolo, Alcir José; Brum, Betânia; Trogello, Emerson; Franchin, Márcia Fernanda; Adami, Paulo Fernando

doi:10.1590/1807-1929/agriambi.v19n1p39-44

Cited by 6 publications

(5 citation statements)

References 14 publications

(16 reference statements)

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“…The appropriate population and uniformity of longitudinal distribution of maize plants in the row is important when aiming at high yield (Storck et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Maize Sowing Speeds and Seed-Metering Mechanisms

Ormond¹,

Furlani²,

Oliveira³

et al. 2018

JAS

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The intensifying use of machines in agriculture to increase operational capacity requires investments in more powerful and automated machines capable of working at higher speeds to meet the demands of agricultural activities. The objective of this study was to evaluate the sowing quality of a second crop maize using a pneumatic sowing machine equipped with two seed-metering devices at different displacement speeds. The statistical design was a randomized block design arranged in 6 × 2 factorial, with 4 replications, totaling 48 experimental plots. Where it was tested two seed-metering mechanisms from different manufacturers denominated A and B, and 6 displacement speeds of approximately 2.0; 4.7; 6.5; 9.1; 10.3 and 12.3 km h -1. The seed-metering mechanisms were compared by mean test while displacement speeds were compared by regression plots. The initial and final plant populations, seed depth, seedling longitudinal distribution (normal, faulty and double spacing) and grain yield were also evaluated. Displacement speed and seed-metering devices showed significant interaction only for the percentages of normal, faulty, and double spacings. The initial and final population presented an isolated effect for both the seed-metering devices and velocities. The seed depth showed an isolated velocity effect. The grain yield showed a significant isolated effect from the analyzed seed-metering devices. The seed-metering device B operating at lower speeds had better performance in the sowing process.

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“…The appropriate population and uniformity of longitudinal distribution of maize plants in the row is important when aiming at high yield (Storck et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Maize Sowing Speeds and Seed-Metering Mechanisms

Ormond¹,

Furlani²,

Oliveira³

et al. 2018

JAS

View full text Add to dashboard Cite

show abstract

“…According to Sangoi et al (2012), adequate population density and correct longitudinal distribution of corn plants in the sowing row are important factors when aiming to achieve high productivity since corn is highly sensitive to plant population variations, row spacing, distribution of plants in the row and uniformity of seedling emergence. In this sense, knowledge and quantification of spatial variability and the development of gaps and duplicated plants in the sowing furrow are also essential (STORCK et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Application of Statistical Process Control in Mechanized Corn Seeding

Pereira,

Cunha,

Costa

et al. 2023

COLLOQ AGRARIAE

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Several factors alter the quality of the mechanized sowing process of corn, and the use of the statistical process control (SPC) technique not only allows the identification of process limitation points but also ensures the correct functioning and conduction of the mechanized process, determining critical factors. that may decrease their performance. In view of the above, the present study aims to qualitatively evaluate, through this technique, the longitudinal distribution of corn seeds as a function of different stands and operational speeds during the sowing process. The experiment was carried out in a randomized block design (CBD) with three replications and in a split-plot design. Data were submitted to analysis of variance and when significant, analyzed using Tukey's test, with 5% significance. To carry out the statistical process control, mean and amplitude control charts were used to evaluate the effect of operational speed, seed distribution, deposition depth and plant germination. The results indicate that the use of statistical process control is an efficient tool to identify the behavior of the corn sowing process. Based on the results, speeds close to 4.5 km/h allowed an efficient sowing process, as it presented a higher percentage of normal spaces in the distribution of maize seeds.

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“…When investigating different seed distribution mechanisms with different technical, operational, and environmental conditions, it is assumed that average distance between plants is important; however, the average distance is not sufficient to assess the quality of sowing. The quantification and understanding of the occurrence of failed and duplicate plants in the sowing furrow is also imperative (Storck et al, 2015). This highlights the importance of the application of other tests, such as the evaluation of the process.…”

Section: Introductionmentioning

confidence: 99%

December 2019

2019

Aust J Crop Sci

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An appropriate sowing process is one of the steps that need immediate attention in crop sciences, because it may compromise the profitability of crops. An effective sowing process requires correctly spaced seedlings with the right depth in order to obtain an appropriate and uniform stand. In this context, statistical control is an option that allows evaluation of the agricultural process. Our objective in this study was to evaluate the quality of maize sowing as a function of planting density and working speeds. The statistical design used was based on the methodology of statistical quality control, corresponding to 4 seed dispensers from different manufacturers denoted DA, DB, DC, and DD with two speeds for each (V1 = 7.0 km h-1 and V2 = 11.5 km h-1). Data were collected from 10 replicates for each of the 4 seed dispensers, totaling 40 samples, at each working speed. The following parameters were evaluated: Sowing depth, longitudinal distribution of seedlings, initial and final plant population, and corn grain yield for the hybrid 30F35YH variety. The statistical process control offers an interesting and reliable mean of evaluating the quality of the sowing process. The seed dispenser, DC, exhibited a better quality of sowing as compared to others. The highest percentage of normal spacing was observed at the lower displacement speed for the seed dispensers, DB, DC, and DD. These seed dispensers also showed higher productivity as compared to other seed dispensers.

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Medida de regularidade do espaçamento de plantas de milho em diferentes sistemas de manejo

Cited by 6 publications

References 14 publications

Maize Sowing Speeds and Seed-Metering Mechanisms

Maize Sowing Speeds and Seed-Metering Mechanisms

Application of Statistical Process Control in Mechanized Corn Seeding

December 2019

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