Welcome to International Network for Natural Sciences | INNSpub

Paper Details

Research Paper | May 1, 2016

VIEWS 1
| Download 2

Evaluation of Balkan wheat cultivars for grain yield stability based on the GGE biplot analysis

Boshev Dane, Jankulovska Mirjana, Ivanovska Sonja, Azemov Irfan, Kamberi Mensur

Key Words:


Int. J. Agron. Agri. Res.8(5), 32-38, May 2016

Certification:

IJAAR 2016 [Generate Certificate]

Abstract

The objective of this study was to evaluate and quantify the magnitude of the genotype x environment interaction effects on wheat grain yield and to determine the winning genotype for the test environment. During ten years (2003-2013), 44 wheat cultivars from six Balkan countries were tested at three locations (Skopje, Strumica and Prilep) in Republic of Macedonia. The average grain yield data were subjected to the GGE biplot analysis. These analysis depicted the adaptation pattern of genotypes at different locations and discrimination ability of testing locations. Genotypes 27, 28 and 21 had the highest average yield and were the most stable genotypes. Out of the three locations, Strumica was identified as the most discriminative and representative location.

VIEWS 1

Copyright © 2016
By Authors and International Network for
Natural Sciences (INNSPUB)
http://innspub.net
This article is published under the terms of the Creative
Commons Attribution Liscense 4.0

Evaluation of Balkan wheat cultivars for grain yield stability based on the GGE biplot analysis

Benin G, Lindolfo S, Volmir SM, Matheus HT, Anderson SM, Leomar GW. 2014. Effects of years, locations and sowing date on the spring wheat yield performance. Review Faculty Agronomy 113(2), 165-173.

Bernal EF, Villardon PG. 2012.  Package  ‘GGE Biplot-GUI’. http://cran.r-project.org/…ages/ GGEBiplotGUI/GGEBiplotGUI. pdf

Castillo D, Matus I, del Pozo A, Madariaga R, Mellado M. 2012. Adaptability and genotype × environment interaction of spring wheat cultivars in Chile using regression analysis, AMMI, and SREG. Chilean Journal of Agricultural Research 72(2) 167-174.

Ceccarelli S. 1989. Wide adaptation. How wide? Euphytica 40, 197-205.

Cooper M, Podlich DW, Luo L. 2007. In: Varshney, R. and Tuberosa, R., Eds., Modeling QTL Effects and MAS in Plant Breeding. Genomics-Assisted Crop Improvement 1, Springer, Dordrecht, The Netherlands 57-96.

Hagos HG, Abay F. 2013. AMMI and GGE biplot analysis of bread wheat genotypes in the northern part of Ethiopia. Journal of Plant Breeding and Genetics 01, 12-18.

Kaya Y, Akcura M, Taner S. 2006. GGE-Biplot Analysis of Multi-Environment Yield Trials in Bread Wheat. Turkish Journal of Agriculture and Forestry 30, 325-337.

Kroonenberg PM. 1995. Introduction to biplots for G × E tables. Centre for Statistics. Research Report 51. The University of Queensland, Brisbane, Australia 22.

Mehari M, Tesfay M, Yirga H, Mesele A, Abebe T, Workineh A, Amare B. 2015. GGE biplot analysis of genotype-by-environment interaction and grain yield stability of bread wheat genotypes in South Tigray, Ethiopia. Communications in Biometry and Crop Science 10, 17–26.

Mohamed NEM, Said AA, Amein KA. 2013. Additive main effects and multiplicative interaction (AMMI) and GGE-biplot analysis of genotype × environment interactions for grain yield in bread wheat (Triticum aestivum L.). African Journal of Agricultural Research 8(42), 5197-5203.

Mohammadi MR, Karimizadeh T, Hosseinpour M, Kalateharabi H, Khanzadeh N, Sabaghnia P, Hasanpour H. 2012. Analysis of genotype, environment and genotype × environment interaction in bread wheat in warm rainfed areas of Iran. Crop Breeding Journal 2(1), 63-70.

Rodriguez J, Sahagún J, Villaseñor H, Molina J, Martínez A. 2002. Estabilidad de siete variedades comerciales de trigo (Triticum aestivum L.) de Temporal. Revista Fitotecnia Mexicana 25, 143–151.

Sabaghnia N, Mohammadi M, Karimizadeh R. 2013. Interpreting genotype x environment interaction of bread wheat genotypes using different nonparametric stability statistics. Agriculture & Forestry 59(2), 21-35.

Tonk FA, Ilker E, Tosun M. 2011. Evaluation of genotype x environment interactions in maize hybrids using GGE biplot analysis. Crop Breeding and Applied Biotechnology 11, 1-9.

FAO  (Food  and  Agriculture  Organization  of  the United Nations). 2012. FAOSTAT. www.faostat.fao.org

Yan W. 2001. GGE Biplot – A windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal 93, 1111–1118.

Yan W. 2002. Singular-value partitioning in biplot analysis of multi-environment trial data. Agronomy Journal 94, 990-996.

Yan W, Hunt LN. 2001. Interpretation of Genotype x Environment Interaction for Winter Wheat Yield in Ontario. Crop Science 41, 19-23.

Yan W, Tinker NA. 2005. An integrated system of biplot analysis for displaying, interpreting, and exploring genotype by environment interactions. Crop Science 45, 1004-1016.

Yan W, Hunt LA, Sheng Q, Szlavnics Z. 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science 40, 597-605.

Yan W, Cornelius PL, Crossa J, Hunt LA. 2001. Two types of GGE biplots for analysis of multi-environment trial data. Crop Science 41, 565- 663.

Yan W, Kang MS. 2003. GGE biplot analysis: a graphical tool for breeders, geneticists and agronomist. CRC Press, Boca Raton, FL, 271.

SUBMIT MANUSCRIPT

Style Switcher

Select Layout
Chose Color
Chose Pattren
Chose Background