Abstract
Lack of suitable malt barley varieties that exhibit high yielding, stable performance, and good malting quality is the major factor among several production constraints contributing to low productivity of malt barley in the North Gondar Zone. The present study was done to evaluate and recommend the best performing varieties in the major potential areas of North Gondar. The experiment was conducted at three locations for two consecutive years (2015 and 2016) during the main cropping season using twelve improved varieties. The design was randomized complete block design with three replications. Analysis of variance and GGE [genotype main effect (G) and genotype-by-environment interaction (GE)] biplot analysis were conducted following their respective procedures. Combined analysis of variance revealed a highly significant difference (P < 0.01) among genotypes, environments, and genotype-by-environment interaction for grain yield, most agronomic and malt quality traits. All the varieties had acceptable malt quality traits. The variety IBON-174/03 was found to be the highest yielding and the most stable variety across environments. According to the polygon view of biplot analysis, the varieties were spread across four sections and the test environments spread across two sections. Among the six test environments, D and C were more discriminating and F and B were less discriminating. Test environments F, E, and A were found to be more representative of the mega-environment than D. Considering early maturity, malt quality, grain yield, and stability performance; it is recommended to use the variety IBON-174/03 for production in the study areas and in similar areas.
Similar content being viewed by others
References
Bayeh M, Berhane L. 2011. Barley research and development in Ethiopia–an overview. In: Mulatu B, Grando S, eds, Barley Research and Development in Ethiopia. Proceedings of the 2nd National Barley Research and Development Review Workshop. 28–30 November 2006, HARC, Holetta, Ethiopia. ICARDA, Aleppo, Syria, pp 1–16
Berhane L, Hailu G, Fikadu A. 1996. Barley production and research. In: Hailu Gebre and Joob Van Luer, eds, Barley Research in Ethiopia: Past work and future prospects. Proceeding of the first barley research review workshop. 16–19 October 1993, Addis Ababa, IAR/ICARDA. Addis Ababa, Ethiopia, pp 1–8
Biadge K, Yadesa A. 2017. Malt quality profile of malt barley varieties grown in the Central Highlands of Ethiopia. Int. J. Bioorganic Chem. 2: 130–134
Central Statistical Agency. 2017/18. Agricultural Sample survey. Report on area and production of major crops. Statistical Bulletin 586, Volume I, Addis Ababa, Ethiopia
Daniel TK. 2010. Genetic Variation of Malt Barley Genotypes in their Yield and N–use Efficiency. MSc. Thesis. Bahir Dar University, Ethiopia
Emebiria L, Moodya D, Panozzoa JF, Readb J. 2003. Mapping of QTL for malting quality attributes in barley based on a cross of parents with low grain protein concentration. Department of Primary Industrious, Reserch and Development Division, Natimuk Road, Privet Bag 260, Horsham, Vic.3401, Australia
Fasika T. 2014. Assela Malt Factory to suspend production. Adiss Fortune, Adiss Ababa, Ethiopia
Finlay K, Wilkinson G. 1963. The analysis of adaptation in plant breeding programme. Aus. J. Agri. Res. 14: 742–754
Gabriel, KR. 1971. The biplot graphic display of matrices with application to principal component analysis. Biometrika 58: 453–467
Gauch HG, Zobel RW. 1997. Identifying mega–environments and targeting genotypes. Crop Sci. 37: 311–326
Getachew L, Tolosa A, Tesyaye Z. 2011. Unexploited opportunity in agro–processing: The case of malt barley in Ethiopia. In: Mulatu B, Grando S, eds, Barley Research and Development in Ethiopia. Proceedings of the 2nd National Barley Research and Development Review Workshop. 28–30 November 2006, HARC, Holetta, Ethiopia. ICARDA, Aleppo, Syria, pp 339–350
Gomez KA, Gomez AA. 1984. Statistical Procedures for Agricultural Research, 2nd edn. John Wiley and Sons, New York
Kaya Y, Akcura M, Taner S. 2006. GGE–biplot analysis of multienvironment yield trials in bread wheat. Turk. J. Agric. 30: 325–337
Kemelew M. 2011. Opportunities and challenges in malt barley research and production in North Shewa of the Amhara Region. In: Mulatu B, and Grando S, eds, Barley Research and Development in Ethiopia. Proceedings of the 2nd National Barley Research and Development Review Workshop. 28–30 November 2006, HARC, Holetta, Ethiopia. ICARDA, Aleppo, Syria, pp 73–76
Moral LFG, Miralles DJ, Slafer GA. 2002. Initiation and appearance of vegetative and reproductive structures throughout barley development, In Slafer G, eds, Barley Science: Recent Advances from Molecular Biology to Agronomy of Yield and Quality, ED 2, Vol 3. Food Products Press, New York, London, Oxford, pp 243–268
Mulatu B, Grando S. 2011. Barley Research and Development in Ethiopia. Proceeding of the 2nd National Barley Research and Development Review Workshop. 28–30 November 2006, HARC, Holetta, Ethiopia. ICARDA, Aleppo, Syria
Muez M, Sentayehu A, Berhane L, Haddis Y, Mizan T. 2014. Parametric stability analysis of malt barley genotypes for grain yield in Tigray, Ethiopia. World J. Agric. Sci. 10: 210–215
Muluken B. 2013. Study on malting barley genotypes under diverse Agroecologies of northwestern Ethiopia. Afr. J. Plant Sci. 7: 548–557
Simmonds N. 1981. Genotype (G), environment (E), and GE components of crop yields. Expl. Agric. 17: 355–362
Tadese K. 2011. Malting barley marketing and malt production from barley in Ethiopia In: Mulatu B, Grando S, eds, Barley Research and Development in Ethiopia. Proceedings of the 2nd National Barley Research and Development Review Workshop. 28–30 November 2006, HARC, Holetta, Ethiopia. ICARDA, Aleppo, Syria, pp 327–337
Tura K, Gashaw G. 2015. Review of barley value chain management in Ethiopia. J. Biol.Agric. Healthcare 5: 84–97
Yan W. 2001. GGEBiplot―A Windows application forgraphical analysis of multi–environment trial data and other types of two–way data. Agron. J. 93: 1111–1118
Yan W, Hunt LA, Sheng Q, Szlavnics Z. 2000. Cultivar evaluation and mega–environment investigation based on GGE biplot. Crop Sci. 40: 596–605
Yan W, Kang MS. 2003. GGE biplot analysis: a graphical tool for breeders, Geneticists, and Agronomist. CRC Press, Boca Raton, FL
Yan W, Kang MS, Ma B, Woods S, Cornelius PL. 2007. GGE biplot vs. AMMI analysis of genotype–by–environment data. Crop Sci. 47: 641–653
Yan W, Rajcan I. 2002. Biplot evaluation of test sites and trait relations of soybean in Ontario. Crop Sci. 42: 11–20
Yan W, Tinker NA. 2006. Biplo analysis of mulit–environment trial data: Principles and applications. Can. J. Plant Sci. 86: 623–645
Yetsedaw A, Tadesse D, Wondimu B. 2013. Participatory evaluation of malt barley (Hordeum ulgare L.) genotypes for yield and other agronomic traits at North–West Ethiopia. Wudpecker J. Agric. 2: 218–222
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Asres, T., Tadesse, D., Wossen, T. et al. Performance Evaluation of Malt Barley: from Malting Quality and Breeding Perspective. J. Crop Sci. Biotechnol. 21, 451–457 (2018). https://doi.org/10.1007/s12892-018-0199-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12892-018-0199-0