| Literature DB >> 33809837 |
Magdalena Śmigała1, Krystyna Winiarczyk1, Agnieszka Dąbrowska2, Marcin Domaciuk1, Marek Gancarz3,4.
Abstract
The aim of the study was to determine the correlation between the mechanical resistance of iris seed capsules and seeds to Mononychus punctumalbum foraging. The principal component analysis (PCA) demonstrated that the first main component referred to the variety type in 68%, and the second main component described the stage of the ontogenetic development of the plant in 26%. As indicated by the values of each parameter measured, all the parameters were found to exert a strong impact on the variability of the analyzed system. The occurrence of weevil infestation was also strongly but negatively correlated with seed wall thickness and capsule wall thickness. There was a correlation of seed max load and seed mass with the occurrence of the weevil. The analysis of the mechanical resistance of iris seed capsules (in June 9.28 N and September 6.27 N for I. sibirica and in June 6.59 N and September 2.94 N for I. aphylla) and seeds (in June 15.97 N and September 344.90 N for I. sibirica and in June 16.60 N and September 174.46 N for I. aphylla) showed significant differences between the terms and species. The PCA analysis revealed that the first variable was correlated with the occurrence of weevil foraging.Entities:
Keywords: Iris aphylla; Iris sibirica; Mononychus punctumalbum; PCA analysis; capsule wall; precision agriculture; puncture test; seed
Mesh:
Substances:
Year: 2021 PMID: 33809837 PMCID: PMC8004143 DOI: 10.3390/s21062209
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576
Figure 1Diagram of the stages of the experiment.
Morphological traits and mechanical properties of I. aphylla and I. sibirica seed capsules and seeds analyzed in June (6) and September (9).
| Variety/Month | Capsule Max Load | Seed Max Load | Plant h [cm] | Capsule Wall Thickness [mm] | Seed Mass Per Capsule [g] | Seed Wall Thickness [mm] | Number of Seeds Per Capsule | Seed Mass [g] | Seed Length [mm] | Seed Width [mm] |
|---|---|---|---|---|---|---|---|---|---|---|
| 6.59 | 16.60 | 34.99 | 1.31 | 1.51 | 1.50 | 89.91 | 0.017 | 4.3 | 2.7 | |
| SD | 0.92 | 29.72 | 0.08 | 0.01 | 0.01 | 0.01 | 0.83 | 0.0001 | 0.6 | 0.5 |
| 2.94 | 174.46 | 35.01 | 1.1 | 1.35 | 1.22 | 90.11 | 0.015 | 4.0 | 2.5 | |
| SD | 1.28 | 68.97 | 0.09 | 0.01 | 0.01 | 0.01 | 0.93 | 0.001 | 0.6 | 0.5 |
| 9.28 | 15.97 | 120.01 | 0.45 | 3.0 | 0.10 | 148.80 | 0.02 | 2.6 | 1.4 | |
| SD | 0.61 | 4.23 | 0.09 | 0.01 | 0.01 | 0.01 | 0.82 | 0.0001 | 0.6 | 0.5 |
| 6.26 | 344.90 | 118.99 | 0.32 | 2.7 | 0.08 | 150.30 | 0.018 | 2.4 | 1.3 | |
| SD | 1.48 | 95.81 | 0.09 | 0.01 | 0.01 | 0.01 | 0.94 | 0.001 | 0.6 | 0.5 |
Capsule max load (N)—average maximum force of seed capsule puncture. Seed max load (N)—average maximum force of seed puncture. Plant h [cm]—average plant height. Capsule wall thickness [mm]—average thickness of the seed capsule wall. Seed mass per capsule [g]—average weight of seeds in the seed capsule. Seed wall thickness [mm]—average thickness of the seed wall. Number of seeds per capsule—average number of seeds in the capsule. Seed mass [g]—average seed weight.
Figure 2Puncture test carried out in June for the seed capsule of (a) I. aphylla and (b) I. sibirica and for the seeds of (c) I. aphylla and (d) I. sibirica.
Figure 3Puncture test carried out in September for the seed capsule of (a) I. aphylla and (b) I. sibirica and for the seeds of (c) I. aphylla and (d) I. sibirica.
Figure 4Plot of the PCA analysis results for two main components (PC1, PC2) obtained from seven parameters analysed in the investigated cases (A6N—I. aphylla collected in June, no foraging; A9N—I. aphylla collected in September, no foraging, S6Y—I. sibirica collected in June, foraging, S9Y—I. sibirica collected in September, foraging).
Figure 5Graph of variables (Plant h [cm]. Seed mass per capsule [g]. Number of seeds per capsule. Seed wall thickness [mm]. Seed mass [g]. Capsule wall thickness [mm]. Capsule max load (N). Seed max load (N)). Position of load vectors relative to the first two PCA components.