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Multivariate Statistical Analysis Applied to Physical Properties of Soybean Cultivars in The Design and Regulation of Post-Harvest Equipment
Paulo Coradi
Campus Cachoeira do Sul, Federal University of Santa Maria, Rodovia Taufik Germano, 3013, Passo D'Areia, 96503-205, Cachoeira do Sul, RS
Corresponding Author
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The present work had as aim to evaluate the similar of soybean cultivars according to physical properties as a guiding parameter for decision making in the design and regulation of post-harvest equipment using multivariate analysis. First, Pearson's correlation coefficients were estimated. Posteriorly, principal component analysis was performed to verify the interrelationship between variables and soybean cultivars. A biplot was built with the first two principal components. Finally, a boxplot was built for each variable considering the grouping presented by the analysis of main components. By principal component analysis, we identified the formation of two clusters (G1 and G2) of cultivars. Unit specific mass was the physical property that most contributed to the formation of G1, while the other physical properties contributed to the formation of G2. Soybean cultivars comprising the G1 are more similar to each other only for unit specific mass, and the cultivars allocated in group G2 are more similar for all the other properties evaluated. These results are recommended by the equipment manufacturing industry and the seed processing units to carry out projects and equipment adjustments to efficiently manage the post-harvest of soybean seeds.
Keywords
equipment manufacturing industry, seed processing units, process optimization, seeds soybean quality, post-harvest loss reductions
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This preprint is under consideration at Scientific Reports. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Multivariate Statistical Analysis Applied to Physical Properties of Soybean Cultivars in The Design and Regulation of Post-Harvest Equipment
Paulo Coradi
Campus Cachoeira do Sul, Federal University of Santa Maria, Rodovia Taufik Germano, 3013, Passo D'Areia, 96503-205, Cachoeira do Sul, RS
Corresponding Author
Badges
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This manuscript passed our Prescreen assessment
Complete author information
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Potential risks to human health
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Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 05 Jan, 2021
No community comments so far
Review #14 received
Received 14 Jan, 2021
Review #5 received
Received 14 Jan, 2021
Review #15 received
Received 14 Jan, 2021
Review #6 received
Received 14 Jan, 2021
Review #7 received
Received 14 Jan, 2021
Review #1 received
Received 14 Jan, 2021
Review #20 received
Received 14 Jan, 2021
Review #16 received
Received 14 Jan, 2021
Review #19 received
Received 14 Jan, 2021
Review #22 received
Received 14 Jan, 2021
Review #12 received
Received 14 Jan, 2021
Reviewer #17 agreed
On 07 Jan, 2021
Reviewer #8 agreed
On 07 Jan, 2021
Reviewer #18 agreed
On 07 Jan, 2021
Reviewer #3 agreed
On 07 Jan, 2021
Reviewer #9 agreed
On 07 Jan, 2021
Reviewer #10 agreed
On 07 Jan, 2021
Reviewer #1 agreed
On 07 Jan, 2021
Reviewer #4 agreed
On 07 Jan, 2021
Reviewer #23 agreed
On 07 Jan, 2021
Reviewer #2 agreed
On 07 Jan, 2021
Reviewer #19 agreed
On 07 Jan, 2021
Reviewer #22 agreed
On 07 Jan, 2021
Reviewer #25 agreed
On 07 Jan, 2021
Reviewer #15 agreed
On 07 Jan, 2021
Reviewers invited
Invitations sent on 07 Jan, 2021
Editor assigned
On 07 Jan, 2021
Editor invited
On 01 Jan, 2021
Submission checks complete
On 01 Jan, 2021
First submitted
On 31 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Energy Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
The present work had as aim to evaluate the similar of soybean cultivars according to physical properties as a guiding parameter for decision making in the design and regulation of post-harvest equipment using multivariate analysis. First, Pearson's correlation coefficients were estimated. Posteriorly, principal component analysis was performed to verify the interrelationship between variables and soybean cultivars. A biplot was built with the first two principal components. Finally, a boxplot was built for each variable considering the grouping presented by the analysis of main components. By principal component analysis, we identified the formation of two clusters (G1 and G2) of cultivars. Unit specific mass was the physical property that most contributed to the formation of G1, while the other physical properties contributed to the formation of G2. Soybean cultivars comprising the G1 are more similar to each other only for unit specific mass, and the cultivars allocated in group G2 are more similar for all the other properties evaluated. These results are recommended by the equipment manufacturing industry and the seed processing units to carry out projects and equipment adjustments to efficiently manage the post-harvest of soybean seeds.
Figure 1
Figure 2
Figure 3
Figure 4