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International Journal of Plant Breeding and Genetics

Year: 2011 | Volume: 5 | Issue: 4 | Page No.: 379-387
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Authors

M.N. Okoye

C.O. Okwuagwu

M.I. Uguru

C.D. Ataga

K.P. Baiyeri

Keywords

Research Article

Modelling Fresh Fruit Bunch Yield Stability in Oil Palm using Different Stability Statistics

M.N. Okoye, C.O. Okwuagwu, M.I. Uguru, C.D. Ataga and K.P. Baiyeri
Several biometrical methods available for the analysis of gxe interaction and yield stability, often fail to provide an accurate picture of complete response pattern of the genotypes because the stability indices are usually univariate. The objective of this study was to examine the various statistical methods for stability analysis of bunch yield in order to determine their congruence in identification of stable oil palm genotype. Fifteen duraxtenera oil palm genotypes were evaluated for genotype by environment interaction (gxe) and yield stability across four environments. The five statistical methods examined are Eberhart and Russell joint linear regression (ER), Shukla’s Stability index (SH), Francis and Kanennberg genotype-grouping technique (FK), Lin and Binn’s cultivar superiority values (LB) and Yan’s Genotype and Genotype by Environment interaction model (GGE). Significant crossover gxe interaction was observed, suggesting specific adaptation. Spearman’s rank correlation coefficient between the stability parameters and environments indicated a weak relationship. However, SH was significantly correlated with ER and LB. The level of convergence between any two methods ranged from 25 to 67% while that among three, four or the five methods were between 29 to 57%. Two genotypes, DT7 and DT11 were identified as high yielding and stable by all methods. These genotypes would be reliable for future breeding programme to develop high yielding planting materials with stable performance. Furthermore, farmers will be assured of the yield from season to season. In most cases, genotypes selected by GGE were also classified as stable by the other four methods. Thus, simultaneous use of stability statistics would protect the breeder from making wrong selections.
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Comments

hugh menax Reply

This article is very concise and practical especially for the scientists in developing countries.how i wish i can get some hard copies for my students and library. Very interesting!

jude obibuzor Reply

please i need some reprints for my post doctoral work.

hugh menax Reply

I am impressed with the article and the author. The objective is well articulated and solving a fundamental problem often experienced by scholars cum scientists from developing countries. How i wish i can afford to pay for some hard copies for my students and library.

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