Performance of Sesame Variety in moisture-deficit areas of Wollo, Ethiopia


Performance of Sesame Variety in moisture-deficit areas of Wollo, Ethiopia


Mekonnen Misganaw and Arega Gashaw

Sirinka Agricultural Research Center, North Wollo, Ethiopia


American Journal of Biotechnology and Bioscience

The field experiments was conducted at Kobo, Mersa and Chefa testing sites of Sirinka Agricultural Research Center in1999 and 2000 seasons for varieties adaptation and 2004 and 2005 seasons for genotypes selection. The experiments were conducted in randomized block design using three replications with the objectives of selecting adaptable variety for the lowland areas of Wollo. Analysis of variance for each environment revealed significant differences across the tested environments and from adaptation experiment variety Abasina is high seed-yielder (12.33 qt ha-1) and had low deviation from linear regression coefficient implying its stability for different environments. Therefore, Abasina was recommended for the lowland areas of northeastern Ethiopia and from genotype selection, Pungun yonggae showed stable performance and gave high seed and oil yield across the tested environments providing a seed and oil yield advantages of 99.0% and 94.9%, respectively over the standard check, while Kelafo 74 x C-22 sel 4 had specific adaptation to more favorable environments with a seed and oil yield advantages of 106.3 and 116.7%, respectively over the standard check. Therefore, based on their performances, Pungun yonggae and Kelafo 74 x C-22 sel 4 were officially released for production with the name of Borkena, and Ahadu respectively.


Keywords: Ahadu, Borkena, Kelafo, Pungun

Free Full-text PDF


How to cite this article:
Mekonnen Misganaw and Arega Gashaw. Performance of Sesame Variety in moisture-deficit areas of Wollo, Ethiopia. American Journal of Biotechnology and Bioscience, 2017; 1:5. DOI: 10.28933/ajbb-2017-03-0701


References:
1. Agro base 99. The database Management and Analysis System for Plant Breeders and Agronomists. Agromix software, Inc. Winnipeg, Manitoba, Canada.
2. Eberhart, S.A. and W.L. Russell. 1966. Stability parameters for comparing varieties. Crop Sci., 6: 36-40.
3. Gomez, A.K., and A.A. Gomez. 1984. Statistical Procedures for Agricultural Research. John Wiley & Sons
4. Michigan State University. 1988. User’s Guide to MSTAT-C a software program for the Design, Management, and Analysis of Agronomic Research Experiment, MSU, USA.
5. Miller, P.A., J., C. Williams, H.F. Robinson and R.E. Comstock. 1958. Estimates of genotypic and Environmental Variances and Co-variances in Upland cotton and their implications in selection. Agron. J. 50: 126-131.
6. Nigussie, A. and Mesfin A. 1994. Relative Importance of some Management Factors in seed and oil yield of Ethiopian Mustard (Brassica carinata Braun) and rapessed (B. napus L.) Ethiopian Journal of Agricultural Science 14: 27-36.
7. Ceccarelli, S., E.P. Guimarães and E. Weltizien, 2009. Plant breeding and farmer participation Breeding for nutritional quality traits, Rome.
8. CSA (Central Statistical Agency), 2011-2012. Agricultural Sample Enumeration Surveys, Addis Ababa, Ethiopia.
9. Khanna, K. R., 1991. Biochemical Aspects of Crop Improvement.Plant Breeding and Genetics National Botanical Research Institute.Lucknow, India.