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Biochemical composition and shape-dimensional traits of rosehip genotypes Cover

Biochemical composition and shape-dimensional traits of rosehip genotypes

Open Access
|Dec 2021

Figures & Tables

Figure 1

Rosehip genotypes displayed in horizontal and vertical orientation.
Rosehip genotypes displayed in horizontal and vertical orientation.

Figure 2

Length and area measurements of rosehip genotypes.
Length and area measurements of rosehip genotypes.

Figure 3

Shape and size characteristics of rosehip genotypes. SD, standard deviation of a sample; SCR, surface closure rate.
Shape and size characteristics of rosehip genotypes. SD, standard deviation of a sample; SCR, surface closure rate.

Figure 4

PC analysis scatter plot made on shape and size data. (A) Distribution of genotypes according to PC1 and PC2. (B) Distribution of genotypes according to PC1 and PC3. PC, principal component.
PC analysis scatter plot made on shape and size data. (A) Distribution of genotypes according to PC1 and PC2. (B) Distribution of genotypes according to PC1 and PC3. PC, principal component.

Figure 5

Change in shape contours of genotypes according to PC scores determined by EFA (from left to right: mean − 2SD, mean, mean + 2SD). EFA, elliptic Fourier analysis; PC, principal component.
Change in shape contours of genotypes according to PC scores determined by EFA (from left to right: mean − 2SD, mean, mean + 2SD). EFA, elliptic Fourier analysis; PC, principal component.

Figure 6

Centripetal distribution of canonical separation functions explaining the shape variations of rosehip genotypes. (A) Functions 1 and 2. (B) Functions 1 and 3.
Centripetal distribution of canonical separation functions explaining the shape variations of rosehip genotypes. (A) Functions 1 and 2. (B) Functions 1 and 3.

Figure 7

Hierarchical clustering analysis of the first five PC scores determined by EFA (Paired (UPGMA) algorithm and Euclidean similarity index). EFA, elliptic Fourier analysis; PC, principal component.
Hierarchical clustering analysis of the first five PC scores determined by EFA (Paired (UPGMA) algorithm and Euclidean similarity index). EFA, elliptic Fourier analysis; PC, principal component.

Discriminant analysis results and paired comparison_

a. Eigenvalue statistics of discriminant functions

FunctionsEigenvalues% of the variance explainedCumulative, %Canonical correlation

15.82081.881.80.924
20.75510.692.40.656
30.3084.396.70.485

b. MANOVA results

StatisticsValueHypothesis dfError dfF valueP (Sigma)

Wilks’ lambda0.051451208,85661.170.000
Pillai trace1.721209,02539.420.000

c. Hotelling's paired comparison test results (Top triangle: Mahalonabis distances; Bottom triangle: Bonferroni corrected)

G typesG1G2G3G4G5G6G7G8G9G10G11G12G13G14G15G16G17G18G19G20G21G22G23G24G25

G1 16.59.522.826.44.319.04.54.88.63.63.339.26.915.54.94.058.47.728.910.37.112.99.913.1
G24E-47 28.01.73.65.60.94.67.810.628.119.26.55.92.428.534.616.36.63.38.38.86.53.52.4
G33E-345E-61 41.044.99.332.318.27.15.52.94.356.78.931.31.76.978.89.432.97.012.913.316.917.2
G42E-536E-075E-69 1.111.51.47.115.118.838.628.33.212.62.340.345.010.712.96.016.813.412.06.86.6
G53E-572E-151E-719E-04 14.51.39.517.221.942.129.94.716.53.944.949.07.716.37.619.616.714.48.87.9
G66E-192E-239E-345E-372E-42 8.02.10.72.38.95.122.10.67.58.913.238.21.211.42.23.23.62.52.8
G78E-513E-035E-652E-053E-052E-30 5.79.713.531.220.76.39.22.233.038.011.79.44.711.210.88.44.53.3
G84E-193E-199E-487E-261E-313E-097E-23 4.17.613.69.017.44.13.615.316.731.34.313.58.03.76.72.64.7
G96E-215E-307E-283E-432E-468E-021E-341E-17 2.37.32.927.21.510.67.411.741.42.413.51.55.34.84.33.7
G109E-314E-353E-229E-472E-504E-101E-405E-274E-10 8.66.327.71.312.68.215.145.20.812.71.03.21.73.83.9
G112E-164E-612E-132E-679E-701E-325E-649E-411E-289E-31 2.057.210.727.90.81.178.111.038.711.211.416.316.519.3
G126E-155E-514E-195E-592E-606E-227E-531E-311E-131E-247E-09 45.57.320.33.24.260.58.128.66.89.612.211.512.3
G132E-703E-265E-816E-142E-191E-541E-251E-463E-602E-583E-811E-74 21.46.758.566.56.720.46.425.920.916.912.912.4
G142E-272E-241E-324E-393E-454E-012E-332E-171E-064E-051E-361E-287E-54 8.79.816.039.20.59.51.23.22.32.62.5
G151E-456E-114E-644E-108E-174E-295E-108E-161E-364E-397E-612E-526E-274E-32 30.533.715.47.78.612.56.37.22.94.9
G162E-203E-594E-075E-666E-692E-313E-636E-421E-271E-283E-027E-146E-792E-335E-61 2.182.310.937.710.113.116.718.019.7
G176E-187E-672E-271E-715E-741E-411E-691E-457E-394E-432E-048E-191E-852E-464E-663E-09 89.117.048.717.816.724.222.926.7
G187E-827E-479E-912E-351E-281E-698E-391E-615E-721E-712E-906E-837E-272E-702E-451E-882E-94 37.716.441.237.631.725.723.8
G191E-292E-267E-342E-394E-456E-057E-343E-183E-113E-022E-379E-311E-521E+001E-298E-366E-483E-69 9.71.81.50.91.52.4
G201E-591E-144E-637E-233E-279E-371E-195E-391E-409E-382E-672E-595E-258E-331E-303E-648E-743E-453E-33 9.914.47.27.33.7
G217E-363E-319E-287E-461E-497E-109E-383E-291E-063E-031E-373E-277E-597E-052E-405E-345E-498E-727E-089E-34 6.02.84.73.0
G228E-273E-312E-396E-397E-447E-141E-352E-152E-212E-139E-374E-333E-514E-141E-242E-381E-451E-664E-062E-401E-23 2.21.64.9
G231E-394E-253E-402E-361E-402E-154E-301E-244E-205E-075E-453E-386E-464E-104E-275E-446E-555E-626E-035E-262E-123E-09 1.31.7
G246E-357E-168E-483E-264E-312E-111E-192E-114E-192E-163E-472E-384E-414E-122E-132E-471E-559E-591E-062E-272E-202E-066E-05 1.2
G256E-402E-103E-462E-249E-282E-122E-146E-194E-163E-163E-492E-381E-384E-112E-207E-481E-572E-542E-102E-153E-132E-197E-079E-05

Biochemical characteristics of rosehip genotypes (fresh weight base)_

GenotypesAntioxidant activity (DPPH) (mmol TE · kg−1)Total flavonoids (mg QE · kg−1)Total phenolics (mg GAE · kg−1)
G146.777 ± 0.145 n523.20 ± 5.41 jk63,495.40 ± 230.94 ih
G246.462 ± 0.204 n708.40 ± 3.91 g63,452.80 ± 255.46 ih
G351.042 ± 0.139 k517.40 ± 4.47 jk71,282.80 ± 256.12 d
G452.186 ± 0.128 j500.80 ± 6.18 kl67,119.80 ± 229.01 f
G551.334 ± 0.280 k402.20 ± 4.28 o48,936.20 ± 147.12 n
G639.510 ± 0.172 o615.40 ± 5.94 h39,103.20 ± 135.65 s
G748.791 ± 0.321 lm287.80 ± 6.53 r41,221.40 ± 235.79 r
G864.726 ± 0.227 c560.00 ± 3.82 i63,220.00 ± 477.88 i
G955.626 ± 0.209 h480.80 ± 6.73 l50,449.80 ± 443.70 m
G1061.904 ± 0.234 d629.20 ± 9.56 h57,572.20 ± 443.72 j
G1146.446 ± 0.355 n292.80 ± 1.77 r38,519.40 ± 95.26 s
G1246.958 ± 0.243 n452.60 ± 0.92 m39,297.40 ± 323.95 s
G1352.887 ± 0.203 i342.20 ± 3.15 p46,377.80 ± 283.56 o
G1456.329 ± 0.292 g407.80 ± 2.59 no45,989.00 ± 454.78 o
G1558.241 ± 0.205 f726.80 ± 5.90 g58,534.00 ± 291.88 j
G1653.422 ± 0.227 i431.60 ± 4.84 mn44,822.20 ± 90.64 p
G1756.142 ± 0.172 gh985.20 ± 12.41 d56,139.40 ± 326.93 k
G1859.361 ± 0.273 e1,686.20 ± 4.55 a62,851.80 ± 304.91 i
G1972.673 ± 0.198 a1,505.20 ± 35.01 b79,080.60 ± 267.63 a
G2067.944 ± 0.316 b1,095.80 ± 10.00 c73,391.60 ± 455.63 b
G2148.318 ± 0.160 m754.40 ± 4.05 f68,647.00 ± 272.68 e
G2259.838 ± 0.257 e537.60 ± 3.73 ij64,285.20 ± 894.97 gh
G2349.226 ± 0.163 l533.60 ± 5.11 ij52,998.00 ± 177.86 l
G2464.864 ± 0.173 c636.60 ± 7.29 h72,313.20 ± 252.59 c
G2567.705 ± 0.243 b864.80 ± 4.07 e64,672.60 ± 253.87 g

Eigen statistics and vectors for three PCs_

Physical attributesPC1PC2PC3
Surface area0.997
Geometric mean diameter0.997
Volume0.997
Elongation at horizontal −0.989
Sphericity 0.979
Circularity 0.952
SCR 0.998

Eigenvalues3.0002.8601.041
% of variance42.85340.85314.865
Cumulative (%)42.85383.70698.571
DOI: https://doi.org/10.2478/fhort-2021-0022 | Journal eISSN: 2083-5965 | Journal ISSN: 0867-1761
Language: English
Page range: 293 - 308
Submitted on: May 24, 2021
|
Accepted on: Jul 24, 2021
|
Published on: Dec 31, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2021 Bünyamin Demir, Bahadır Sayıncı, Mehmet Yaman, Ahmet Sümbül, Ercan Yıldız, Orhan Karakaya, Günseli Bobuş Alkaya, Sezai Ercişli, published by Polish Society for Horticultural Sciences (PSHS)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.