Full Length Research Paper
References
|
Adesoji AG, Abubakar IU, Labe DA (2015). Character association and path coefficient analysis of maize (Zea mays L). grown under incorporated legumes and nitrogen. J. Agron. 14(3):158-163. |
|
|
Annicchiarico P, Piano E, Rhodes I (1999). Heritability of and genetic correlations among, forage and seed yield traits in Ladino white clover. Plant Breed. 118(4):341-346. |
|
|
Blalock HM (1963). Correlated independent variables: the problem of multicollinearity. Social Forces 42(2):233-237. |
|
|
Cruz CD (2013). GENES: a software package for analysis in experimental statistics and quantitative genetics. Acta Sci. Agron. 35:271-276. |
|
|
Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carré, G, Marquéz JRG, Gruber B, Lafourcade B, Leitão PJ, Münkemüller T, Mcclean C, Osborne PE, Reineking B, Schröder B, Skidmore AK, Zurell D, Lautenbach S (2013). Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36(1):27-46. |
|
|
Efron B (1979). Bootstrap methods: another look at the jackknife. Ann. Statist. 7(1):1-26. |
|
|
Graham MH (2003). Confronting multicollinearity in ecological multiple regression. Ecology 84(11):2809-2815. |
|
|
Gunst RF, Mason RL (1977). Advantages of examining multicollinearities in regression analysis. Biometrics 33(1):249-260. |
|
|
Hoerl AE, Kennard RW (1970a). Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12(1):55-67. |
|
|
Hoerl AE, Kennard RW (1970b). Ridge regression: applications to nonorthogonal problems. Technometrics 12(1):69-82. |
|
|
Hotelling H (1936). Relations between two sets of variates. Biometrika 28(3/4):321-377. |
|
|
Khameneh MM, Bahraminejad S, Sadeghi F, Honarmand SJ, Maniee M (2012). Path analysis and multivariate factorial analyses for determining interrelationships between grain yield and related characters in maize hybrids. Afr. J. Agric. Res. 7(48):6437-6446. |
|
|
Kumar SVV, Babu, DR (2015). Character association and path analysis of grain yield and yield components in maize (Zea Mays L). Electronic J. Plant Breed. 6(2):550-554. |
|
|
Mansfield ER, Helms BP (1982): Detecting multicollinearity. Am. Stat. 36(3):158-160. |
|
|
Montgomery DC, Peck EA, Vining GG (2012). Introduction to linear regression analysis 5th ed John Wiley & Sons New Jersey. |
|
|
Nataraj V, Shahi JP, Vandana D (2015). Character association and path analyses in maize (Zea mays L). Environ. Ecol. 33(1):78-81. |
|
|
Olivoto T, Nardino M, Carvalho IRC, Follmann DN, Szareski VJ, Ferrari M, Pelegrin AJ, Souza VQ (2016). Pearson correlation coefficient and accuracy of path analysis used in maize breeding: a critical review. Int. J. Curr. Res. 8(9):37787-37795. |
|
|
Pearson K (1920). Notes on the history of correlation. Biometrika 13(1):25-45. |
|
|
Prunier JG, Colyn M, Legendre X, Nimon KF, Flamand MC (2014). Multicollinearity in spatial genetics: separating the wheat from the chaff using commonality analyses. Mol. Ecol. 24(2):263-283. |
|
|
R core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. |
|
|
Steel RGD, Torrie JH, Dickey D (1997). Principles and procedures of statistics: a biometrical approach 3rd ed McGraw-Hill New York NY, USA. |
|
|
Toebe M, Cargnelutti A (2013). Multicollinearity in path analysis of maize (Zea mays L). J. Cereal Sci. 57(3):453-462. |
|
|
Wright S (1923). The theory of path coefficients a reply to Niles's criticism. Genetics 8(3):239-255. |
|
|
Yang H, Su G (2016). Impact of phenotypic information of previous generations and depth of pedigree on estimates of genetic parameters and breeding values. Livest. Sci. 187:61-67. |
|
|
Yao Q, Mehlenbacher SA (2000). Heritability, variance components and correlation of morphological and phenological traits in hazelnut. Plant Breed. 119(5):369-381. |
|
Copyright © 2023 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0
