Determination of Efficiency of Yield Components on Oil Yield Per Plant in Safflower Breeding by Different Statistical Methods

Determination of Efficiency of Yield Components on Oil Yield Per Plant in Safflower Breeding by Different Statistical Methods

Duran Katar

Contact

Eskişehir Osmangazi University

Determination of Efficiency of Yield Components on Oil Yield Per Plant in Safflower Breeding by Different Statistical Methods

Article Fingerprint

ReserarchID

3M554

Determination of Efficiency of Yield Components on Oil Yield Per Plant in Safflower Breeding by Different Statistical Methods Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

The aim of this study was to determine relationship oil yield and yield components and to show efficiency of components on oil yield by using statistical procedures under rainfed conditions in safflower (Carthamus tinctures L.). Data of oil yield and yield components over the two years in the study were evaluated by statistical procedures; correlation and path analysis, regression analysis (multiple linear regression and best subsets regression), factor analysis, principal component analysis and cluster analysis. Results in this study revealed that hhigh yielding new cultivars are evaluated, selected by using various yield components such as seed yield per capitalism, thousand kernel weight, oil content, yield per plant are getting used more and more for high grain/oil yield and for resistance to drought conditions.

References

30 Cites in Article

Reference Format

T Anderson (1984). An Introduction to Multivariate Statistical Analysis.
Burhan Arslan,E Esendal,C Paşa (2008). The Determination of Oil Content and Fatty Acid Compositions of Domestic and Exotic Safflower (Carthamus tinctorius L.) Genotypes and Their Interactions.
H Baydar,İ Turgut (1999). İnek Sütü ve Süt Yağ Asitleri.
T Behnam,A Said,S Mohamadreza,B Alireza,G Gafari (2011). Path analysis of seed and oil yield in safflower (Carthamus tinctorius L.).
T Behnam,A Said,S Mohamadreza,B Alireza,G Gafari (2011). Path analysis of seed and oil yield in safflower (Carthamus tinctorius L.).
A Bidgoli,G Akbari,M Mirhadi,E Zand,S Soufizadeh (2006). Path analysis of the relationships between seed yield and some morphological and phenological traits in safflower (Carthamus tinctorius L.).
S Biljana,A Onjia (2007). Multivariate analyses of microelement contents in wheat cultivated in Serbia.
B Coşge,B Gürbüz,M Ve Kıralan (2007). Oil Content and Fatty Acid Composition of Some Safflower (Carthamus tinctorius L.) Varieties Sown in Spring and Winter.
J Crossa,P Fox,W Pfeiffer,S Rajaram,H Gauch (1991). AMMI adjustment for statistical analysis of an international wheat yield trial.
E Esendal (1988). Aspir (Carthamus sps.) Türleri Üzerine Bir Monografi I. Carthamus tinctorius L. Üzerindeki Islah Çalışmaları. Ondokuz Mayıs Ünv.
A Golparvar,A Ghasemi Pirbalouti (2011). Determination of the best selection criteria for genetic improvement of seed and oil yield in spring safflower cultivars.
H Harmon (1976). Modern Factor Analysis, Third Edition.
J Hiltbrunner,B Streit,M Liedgens (2007). Are seeding densities an opportunity to increase grain yield of winter wheat in a living mulch of white clover?.
Abdurrahman Cagirman,Murat Kaplan,Kemal Pekmez,Fatih Arslan (2006). First Detection of Lake Sinai Virus (LSV) in Varroa Mites in Turkey.
K Joreskog (1977). Factor Analysis by Least Squares and Maximum Likelihood Methods.
D Massart,B Vandeginste,L Buydens,S De Jong,P Lewi,J Smeyers-Verbeke (1997). Straight line regression and calibration.
G Milligan (1980). An Examination of the Effect of Six Types of Error Pertubation on Fifteen Clustering Algorithms.
J Murphy,T Cox,D Rodgers (1986). Cluster analysis of red winter wheat cultivars based upon coefficients of parentage.
M Otto (1999). Chemometrics statistics and computer application in analytical chemistry.
K Ozdamar (1999). Statistical Data Analysis with Computer Programs.
A Potgieter,G Hammer,D Butler (2002). Spatial and temporal patterns in Australian wheat yield and their relationship with ENSO.
S Press,Sandra Wilson (1978). Choosing between Logistic Regression and Discriminant Analysis.
M Shacham,N Brauner,H Shore (2007). A new procedure to identify linear and quadratic regression models based on signal-to-noise-ratio indicators.
Latinka Slavković,Biljana Škrbić,Nada Miljević,Antonije Onjia (2004). Principal component analysis of trace elements in industrial soils.
J Martin,L Talbert,S Lining,N Blake (1995). Hybrid performance in wheat as related to parental diversity.
N Uysal,S Baydar,Erbaş (2006). Isparta populasyonundan geliştirilen aspir (Carthamus tinctorius L.) hatlarının tarımsal ve teknolojik özelliklerinin belirlenmesi.
Johann Vollmann,Istvan Rajcan (2009). Oil Crop Breeding and Genetics.
J Vollmann,I Raj Can Unknown Title.
B Yılmazlar (2008). Konya Şartlarında Farklı Ekim Zamanlarının Bazı Aspir Çeşitlerinde Önemli Tarımsal Karakterler Üzerine ve Verime Etkisi.
K Zadeh,R Naseri,Mirzaei,A Soleymanifard (2012). Effect of Planting Pattern on Yield, Its Components, Oil Contain and Some İmportant Agronomic Traits of Safflower (Carthamus tinctorius L.) in Dry Land Conditions.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Duran Katar. 2013. \u201cDetermination of Efficiency of Yield Components on Oil Yield Per Plant in Safflower Breeding by Different Statistical Methods\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 13 (GJSFR Volume 13 Issue D8).

More Citation Formats

Select Citation Style:

Download Citation

GJSFR Volume 13 Issue D8

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

oil content oil yield per plant safflower (carthamus tinctures l seed yield theories of writing

Submission ReceivedMay 17, 2013
Peer Review Double Blind
Handling Editor
Accepted June 16, 2013
Published June 26, 2013

Version of record

v1.2

Issue date

July 10, 2013

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 101

Country: Turkey

Subject: Global Journal of Science Frontier Research - D: Agriculture & Veterinary

Authors: Duran Katar (PhD/Dr. count: 0)

View Count (all-time): 159

Total Views (Real + Logic): 5111

Total Downloads (simulated): 2415

Publish Date: 2013 07, Wed

Monthly Totals (Real + Logic):

Month 1: 19 views
Month 2: 35 views
Month 3: 66 views
Month 4: 46 views
Month 5: 29 views
Month 6: 50 views
Month 7: 50 views
Month 8: 41 views
Month 9: 30 views
Month 10: 31 views
Month 11: 43 views
Month 12: 18 views
Month 13: 26 views
Month 14: 33 views
Month 15: 38 views
Month 16: 26 views
Month 17: 27 views
Month 18: 32 views
Month 19: 41 views
Month 20: 44 views
Month 21: 23 views
Month 22: 28 views
Month 23: 23 views
Month 24: 45 views
Month 25: 32 views
Month 26: 40 views
Month 27: 34 views
Month 28: 14 views
Month 29: 37 views
Month 30: 36 views
Month 31: 26 views
Month 32: 34 views
Month 33: 24 views
Month 34: 34 views
Month 35: 19 views
Month 36: 45 views
Month 37: 32 views
Month 38: 21 views
Month 39: 34 views
Month 40: 30 views
Month 41: 26 views
Month 42: 26 views
Month 43: 17 views
Month 44: 30 views
Month 45: 17 views
Month 46: 40 views
Month 47: 30 views
Month 48: 29 views
Month 49: 30 views
Month 50: 41 views
Month 51: 26 views
Month 52: 37 views
Month 53: 38 views
Month 54: 29 views
Month 55: 35 views
Month 56: 15 views
Month 57: 40 views
Month 58: 33 views
Month 59: 24 views
Month 60: 48 views
Month 61: 23 views
Month 62: 25 views
Month 63: 44 views
Month 64: 34 views
Month 65: 35 views
Month 66: 41 views
Month 67: 34 views
Month 68: 31 views
Month 69: 37 views
Month 70: 31 views
Month 71: 34 views
Month 72: 34 views
Month 73: 40 views
Month 74: 39 views
Month 75: 32 views
Month 76: 23 views
Month 77: 29 views
Month 78: 29 views
Month 79: 29 views
Month 80: 20 views
Month 81: 21 views
Month 82: 28 views
Month 83: 21 views
Month 84: 12 views
Month 85: 38 views
Month 86: 42 views
Month 87: 48 views
Month 88: 34 views
Month 89: 24 views
Month 90: 32 views
Month 91: 18 views
Month 92: 23 views
Month 93: 37 views
Month 94: 23 views
Month 95: 39 views
Month 96: 35 views
Month 97: 39 views
Month 98: 49 views
Month 99: 24 views
Month 100: 27 views
Month 101: 32 views
Month 102: 41 views
Month 103: 32 views
Month 104: 30 views
Month 105: 34 views
Month 106: 28 views
Month 107: 30 views
Month 108: 27 views
Month 109: 44 views
Month 110: 41 views
Month 111: 34 views
Month 112: 40 views
Month 113: 23 views
Month 114: 47 views
Month 115: 36 views
Month 116: 40 views
Month 117: 34 views
Month 118: 25 views
Month 119: 25 views
Month 120: 33 views
Month 121: 34 views
Month 122: 41 views
Month 123: 40 views
Month 124: 28 views
Month 125: 22 views
Month 126: 25 views
Month 127: 29 views
Month 128: 30 views
Month 129: 32 views
Month 130: 33 views
Month 131: 26 views
Month 132: 23 views
Month 133: 25 views
Month 134: 39 views
Month 135: 23 views
Month 136: 28 views
Month 137: 41 views
Month 138: 34 views
Month 139: 26 views
Month 140: 16 views
Month 141: 28 views
Month 142: 37 views
Month 143: 41 views
Month 144: 22 views
Month 145: 33 views
Month 146: 37 views
Month 147: 22 views
Month 148: 36 views
Month 149: 39 views
Month 150: 36 views
Month 151: 20 views
Month 152: 39 views
Month 153: 45 views
Month 154: 55 views
Month 155: 42 views

Total Views: 5111

Total Downloads: 2415

2026 Trends

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]