Grain yield variation and association of major traits in brown-seeded genotypes of tef [Eragrostis tef (Zucc.)Trotter]

被引:0
|
作者
Jifar H. [1 ]
Assefa K. [2 ]
Tadele Z. [3 ]
机构
[1] Ethiopian Institute of Agricultural Research, Holetta Agricultural Research Center, P. O. Box 31, Holetta
[2] Ethiopian Institute of Agricultural Research, Debre Zeit Agricultural Research Center, Debre Zeit
[3] University of Bern, Institute of Plant Sciences, Altenbergrain 21, Bern
来源
Agriculture & Food Security | / 4卷 / 1期
关键词
Brown seeded; Eragrostis tef; Heritability; Traits; Variation; Yield;
D O I
10.1186/s40066-015-0027-3
中图分类号
学科分类号
摘要
Background: Tef [Eragrostis tef (Zucc.) Trotter] is the major cereal crop of Ethiopia where it is annually cultivated on more than three million hectares of land by over six million small-scale farmers. It is broadly grouped into white and brown-seeded type depending on grain color, although some intermediate color grains also exist. Earlier breeding experiments focused on white-seeded tef, and a number of improved varieties were released to the farming community. Thirty-six brown-seeded tef genotypes were evaluated using a 6 × 6 simple lattice design at three locations in the central highlands of Ethiopia to assess the productivity, heritability, and association among major pheno-morphic traits. Results: The mean square due to genotypes, locations, and genotype by locations were significant (P < 0.01) for all traits studied. Genotypic and phenotypic coefficients of variations ranged from 2.5 to 20.3 % and from 4.3 to 21.7 %, respectively. Grain yield showed significant (P < 0.01) genotypic correlation with shoot biomass and harvest index, while it had highly significant (P < 0.01) phenotypic correlation with all the traits evaluated. Besides, association of lodging index with biomass and grain yield was negative and significant at phenotypic level while it was not significant at genotypic level. Cluster analysis grouped the 36 test genotypes into seven distinct classes. Furthermore, the first three principal components with eigenvalues greater than unity extracted 78.3 % of the total variation. Conclusion: The current study, generally, revealed the identification of genotypes with superior grain yield and other desirable traits for further evaluation and eventual release to the farming community. © 2015 Jifar et al.; licensee BioMed Central.
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