APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS FOR BREEDING STRATEGIES OF SPRING SAFFLOWER (Carthamus tinctorius L.)

Arzu KOSE; Oguz ONDER; Ozlem BILIR; Ferda KOSAR

doi:https://doi.org/10.17557/tjfc.413818

Article Details

APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS FOR BREEDING STRATEGIES OF SPRING SAFFLOWER (Carthamus tinctorius L.)

Authors:

Arzu KOSE | Oguz ONDER | Ozlem BILIR | Ferda KOSAR

Publisher:

Society of Fields Crop Science

Journal:

Turkish Journal Of Field Crops 2018 Vol.23 Issue 1, pp.12-19

Document Type:

Article

Publication Date:

6/2018

Document Language:

English

Document ID (Org No.):

2000636170

Frequency:

Bi-Annual

pISSN:

1301-1111

DOI:

https://doi.org/10.17557/tjfc.413818

Abstract:

 


This study aimed to assess oil yield components and their interrelationships of spring safflower lines

and varieties by using different statistical techniques to increase the oil yield in safflower breeding

program. Field experiments were conducted at the Transitional Zone Agricultural Research Institute

in Eskisehir, Turkey during 2014, 2015 and 2016. Correlation, simple linear regression, stepwise

multiple regression, path, principal component and cluster analyze were used to investigate the

relationships between oil yield and some components in spring safflower. The results revealed that

characters affecting oil yield, which is important to determine selection criteria in plant breeding,

vary according to statistical methods. Therefore, to obtain reliable result, it is essential to use

multivariate statistical methods for scanning significant characters in studied material. According to

the numbers of common characters determined in different statistical analyzes; oil content, seed

weight, seed yield and number of head per plant would be important selection criteria for improved

oil yield in the breeding material studied. The lines and varieties may be used in hybridization

program and their hybrids may yield more transgressive sergeants for these characters for oil yield

improvement.

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Article Details

APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS FOR BREEDING STRATEGIES OF SPRING SAFFLOWER (Carthamus tinctorius L.)

Authors: Arzu KOSE | Oguz ONDER | Ozlem BILIR | Ferda KOSAR

Publisher: Society of Fields Crop Science

Journal: Turkish Journal Of Field Crops 2018 Vol.23 Issue 1, pp.12-19

Document Type: Article

Publication Date: 6/2018

Document Language: English

Document ID (Org No.): 2000636170

Frequency: Bi-Annual

pISSN: 1301-1111

DOI: https://doi.org/10.17557/tjfc.413818

Issues

Authors:

Arzu KOSE | Oguz ONDER | Ozlem BILIR | Ferda KOSAR

Publisher:

Society of Fields Crop Science

Journal:

Turkish Journal Of Field Crops 2018 Vol.23 Issue 1, pp.12-19

Document Type:

Article

Publication Date:

6/2018

Document Language:

English

Document ID (Org No.):

2000636170

Frequency:

Bi-Annual

pISSN:

1301-1111

DOI:

https://doi.org/10.17557/tjfc.413818