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Table 3 Statistical analysis of morphological data

From: Description of olive morphological parameters by using open access software

 

Morphological parameter

ANOVA (p-values)

Multiple comparison Tukey–Kramer

Fruit

Area-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)5

Perim-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)7

Hght-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)5\(\ne\)6\(\ne\)7

MaxTrDiam-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)5\(\ne\)7

minCntTr-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)5\(\ne\)7

TrSym-A

< 0.0001

5\(\ne\)6\(\ne\)7

ShIdx-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)5\(\ne\)6

Circ-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)5\(\ne\)6

ApCur-A

< 0.0001

1\(\ne\)3\(\ne\)5\(\ne\)6\(\ne\)7

BasCur-A

< 0.0001

2\(\ne\)3\(\ne\)4

NippleIdx-A

< 0.0001

–

ShIdx-B

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)7

VerSym-B

< 0.0001

3\(\ne\)5

Leaf

Area

< 0.0001

1\(\ne\)2\(\ne\)7

Perimeter

< 0.0001

1\(\ne\)2\(\ne\)4\(\ne\)5\(\ne\)6

ShIdx

< 0.0001

1\(\ne\)2\(\ne\)6\(\ne\)7

MaxTrDiam

< 0.0001

1\(\ne\)3\(\ne\)6

VerSym

< 0.0001

1\(\ne\)3\(\ne\)6

TipCur

< 0.0001

1\(\ne\)2\(\ne\)4\(\ne\)5

Circ

< 0.0001

3\(\ne\)5\(\ne\)6

Endocarp

Area-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)6\(\ne\)7

Perim-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)5\(\ne\)6

TrSym-A

< 0.0001

1\(\ne\)2\(\ne\)4\(\ne\)5

ShIdx-A

< 0.0001

2\(\ne\)3\(\ne\)5

ApCur-A

< 0.0001

2\(\ne\)3\(\ne\)6\(\ne\)7

BasCur-A

< 0.0001

3\(\ne\)4\(\ne\)5\(\ne\)7

Circ-A

< 0.0001

1\(\ne\)2\(\ne\)3\(\ne\)4\(\ne\)6

VerSym-B

< 0.0001

1\(\ne\)3\(\ne\)5

ShIdx-B

< 0.0001

1\(\ne\)2\(\ne\)4\(\ne\)5\(\ne\)6

StArConv-C

< 0.0001

1\(\ne\)2\(\ne\)3

DiamIncrCir-C

< 0.0001

1\(\ne\)2\(\ne\)5\(\ne\)6\(\ne\)7

  1. The one-way ANOVA showed that all the morphological parameters of the seven cultivars were statistically different (p-values \(<\,0.0001\)). The morphological parameters discriminated either all or some of the seven olive cultivars as revealed by the Tukey–Kramer multiple comparisons