The Feasibility Study on the Prediction of Ploidy Levels Base on Pollen Dimensions in Rosa

Document Type: Original Article

Authors

1 PhD Student, Department of Horticulture, Ferdowsi University of Mashhad, Iran

2 Assistant Professor, Department of Ornamental Plants, Research Center for Plant Sciences, Ferdowsi University of Mashhad, Iran

3 Associate Professor, Department of Tissue and Cell Culture, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), P.O.Box. 31535-1897, Karaj, Iran.

Abstract

Ploidy level is one of important factors for plant breeders; therefore models that can predict it are very practical. To estimate of ploidy levels in some species, hybrids and cultivars of Rosa, dimensions of over 500 pollens include pollen length, width and area measured at ABRII. The calculations were carried out in several stages. First, Ploidy levels were regressed with pollen dimensions, after that, pollen area was regressed with pollen length and width. Finally the best models from previous step were tested to estimate of pollen level. In the present study, although a highly positive correlation (r2 ≥0.80, except for 2x) was obtained between pollen length and pollen area, but to predict of ploidy level, the correlation between it and pollen demotions was very weak (r2 ≥0.24). Results of test the best models (with highest r2 and lowest SES) for estimating of ploidy level, despite could be used, but because of the strong correlation among them, were not reliable.

Graphical Abstract

The Feasibility Study on the Prediction of Ploidy Levels Base on Pollen Dimensions in Rosa

Highlights

There is a weak correlation between ploidy level and pollen dimensions in the five species, hybrids and cultivars of Rosa.

Pollen area in Rosa of di, tri, tetra, panta and hexaploid is predictable with only measurement of one variable (pollen length).

Using power model (equation) obtained from 3x, 4x, 5x and 6x, just in Rosa of diploid (here, Rosa persica), can estimate ploidy level but it is not so reliable

Keywords


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