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

Authors

  • Duran Katar

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

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.

Downloads

How to Cite

Determination of Efficiency of Yield Components on Oil Yield Per Plant in Safflower Breeding by Different Statistical Methods. (2013). Global Journal of Science Frontier Research, 13(29), 11-20. https://journalofscience.org/index.php/GJSFR/article/view/

References

T. Anderson (1984) An Introduction to Multivariate Statistical Analysis, Second Edition.

B. Arslan, E. Esendal (2008) Paşa, C., 2008 The economically important traits of safflower (Carthamus tinctorius L.) cultivars and lines cultivated in Tekirdag, Turkey. 6(3), 415-420.

H. Baydar, İ. Turgut (1999) Yağlı tohumlu bitkilerde yağ asitleri kompozisyonununbazı morfolojik ve fizyolojik özelliklere ve ekolojik bölgelere göre değişimi. 23(suppl.1), 81-86.

T. Behnam, A. Said, S. Mohamadreza, B. Alireza, G. Gafari (2011) Path analysis of seed and oil yield in safflower (Carthamus tinctorius L.). 3-4.

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.). 148(3), 261-268.

S. Biljana, A. Onjia (2007) Multivariate analyses of microelement contents in wheat cultivated in Serbia. 18, 338-345.

B. Coşge, B. Gürbüz, M. ve Kıralan (2007) ve Kıralan, M., 2007 Oil Content and Fatty Acid Composition of Some Safflower (Carthamus tinctorius L.) Varieties Sown in Spring and Winter. 1(3), 11-15.

J. Crossa, P. Fox, W. Pfeiffer, S. Rajaram, H. Gauch (1991) AMMI adjustment for statistical analysis of an international wheat yield trial. 81(1), 27-37.

E. Esendal (1988) Aspir (Carthamus sps.) Türleri Üzerine Bir Monografi I Carthamus tinctorius L Üzerindeki Islah Çalışmaları Ondokuz Mayıs Ünv Zir Fak. 3(1), 139-150.

A. Golparvar (2011) Genetic Improvement of Oil Yield in Spring Safflower Cultivars under Drought and Non-drought Stress Conditions. 7(2), 40-43.

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?. 102, 163-171.

F. İkiz, H. Puskulcu, S. Eren (2006) İkiz, F., Puskulcu, H., Eren S., 2006, Introduction to Statistics. 548.

K. Joreskog (1977) Factor Analysis by Least Squares and Maximum Likelihood Methods.

M. Kang (1990) Kang, M.S., 1990, Genotype-By-Environment Interaction and Plant Breeding. 392.

D. Massart, B. Vandeginste, L. Buydens, S. de Jong, P. Lewi, J. Smeyers-Verbeke (1997) L., Vandeginste, B G M., Buydens, L M C., de Jong, S., Lewi, P J., Smeyers-Verbeke, J., 1997, Straight line regression and calibration. 171-231.

G. Milligan (1980) An Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithms. 45, 325-342.

J. Murphy, T. Cox, D. Rodgers (1986) Cluster Analysis of Red Winter Wheat Cultivars Based upon Coefficients of Parentage1. 26, 672-676.

M. Otto (1999) Otto, M., 1999, Chemometrics statistics and computer application in analytical chemistry.

K. Ozdamar (1999) Ozdamar, K., 1999, Statistical Data Analysis with Computer Programs, Vol: I-II. 548.

A. Potgieter, G. Hammer, D. Butler (2002) Spatial and temporal patterns in Australian wheat yield and their relationship with ENSO. 53(1), 77-89.

S. Press, Sandra Wilson (1978) Choosing between Logistic Regression and Discriminant Analysis. 73(364), 699-705. https://doi.org/10.1080/01621459.1978.10480080

M. Shacham, N. Brauner, H. Shore (2007) A new procedure to identify linear and quadratic regression models based on signal-to-noise-ratio indicators. 46, 235-250.

L. Slavkovic, B. Skrbic, N. Miljevic, A. Onjia (2004) Principal component analysis of trace elements in industrial soils. 2, 105-108.

J. Martin, L. Talbert, S. Lining, N. Blake (1995) Hybrid Performance in Wheat as Related to Parental Diversity. 35, 104-108.

N. Uysal, S. Baydar, Erbaş (2006) H Baydar ve S Erbaş, 2006 Isparta populasyonundan geliştirilen aspir (Carthamus tinctorius L.) hatlarının tarımsal ve teknolojik özelliklerinin belirlenmesi. 1(1), 52-63.

J. Vollmann, I. Raj can (2009) Oil Crops In Vollmann, J and Raj can, I (Ed.), Oil Crop Breeding and Genetics. 1, 1-30. https://doi.org/10.1007/978-0-387-77594-4

B. Yılmazlar (2008) Konya Şartlarında Farklı Ekim Zamanlarının Bazı Aspir Çeşitlerinde Önemli Tarımsal Karakterler Üzerine ve Verime Etkisi.

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

Published

2013-06-24

How to Cite

Determination of Efficiency of Yield Components on Oil Yield Per Plant in Safflower Breeding by Different Statistical Methods. (2013). Global Journal of Science Frontier Research, 13(29), 11-20. https://journalofscience.org/index.php/GJSFR/article/view/