View More View Less
  • 1 University of Banja Luka, Bulevar vojvode Petra Bojovića 1A, 78000 Banja Luka, Bosnia, Herzegovina
  • | 2 Institute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, Serbia
  • | 3 University of Novi Sad, D. Obradovića 8, 21000 Novi Sad, Serbia
Restricted access

Unpredictable environmental conditions lead to occurrence of large genotype by environment (G × E) interaction. It reduces the correlation between genotypic and phenotypic values and complicates selection of superior genotypes. The objective of this study was to estimate genotype by year (G × Y) interaction using AMMI model, to identify spring barley genotypes with stable and high yield performance and to observe association of different meteorological variables with tested growing seasons. The trials with 15 spring barley genotypes were conducted during seven years (1999–2005) at the location of Rimski Šančevi. The results showed that the influence of year (Y), genotype (G) and G × Y interaction on barley grain yield were significant (p < 0.01). Meteorological variables varied significantly from year to year and Y explained the highest percent of treatment variation (81%). The first three IPCA were significant and explained 83% of interaction variation. According to this study, it could be concluded that AMMI analysis provided an enhanced understanding of G × Y interaction in barley multi-years trials. Among the tested genotypes, LAV and NS 477 could be separated as highest yielding genotypes, however LAV could be recommended for further breeding program and large-scale production due to its stable and high yielding performance. It also provided better insight in specific association between spring barley grain yield and meteorological variables.

  • Annicchiarico, P. 1997. Additive main effects and multiplicative interaction (AMMI) of genotype-location interaction in variety trials repeated over years. Theor. Appl. Genet. 94:10721077.

    • Search Google Scholar
    • Export Citation
  • Calderini, D.F., Savin, R., Labeled, O.G., Reynolds, M.P., Slafer, G.A. 2001. The importance of the period immediately preceding anthesis for grain weight determination in wheat. Euphytica 119:199204.

    • Search Google Scholar
    • Export Citation
  • Ceccarelli, S. 1989. Wide adaptation. How wide? Euphytica 40:197205.

  • Ceretta, S., van Eeuwijk, F. 2008. Grain yield variation in malting barley cultivars in Uruguay and its consequences for the design of a trials network. Crop Sci. 48:167180.

    • Search Google Scholar
    • Export Citation
  • FAOSTAT 2012. Food and Agriculture Organization (FAO): FAOSTAT. (Available at http://faostat.fao.org)

  • Garcia del Moral, L.F., Rharrabti, Y., Villegas, D., Royo, C. 2003. Evaluation of grain yield and its components in durum wheat under Mediterranean conditions: an ontogenic approach. Agron. J. 95:266274.

    • Search Google Scholar
    • Export Citation
  • Gauch, G.H., Zobel, R.W. 1996. AMMI analysis of yield trials. In: Kang, M.S., Gauch, H.G. (eds), Genotype by environment interaction. CRC Press. Boca Raton, FL, USA. pp. 85122.

    • Search Google Scholar
    • Export Citation
  • Kaya, Y., Palta, C., Taner, S. 2002. Additive main effects and multiplicative interactions analysis of yield performances in bread wheat genotypes across environments. Turk. J. Agric. For. 26:275279.

    • Search Google Scholar
    • Export Citation
  • Kilic, H., Sagir, A., Bayram, Y. 2009. Estimates of genotype x environment interactions and heritability of black point in durum wheat. Not. Sci. Biol. 1:9296.

    • Search Google Scholar
    • Export Citation
  • Lipkovich, I., Smith, E.P. 2002. Biplot and singular value decomposition macros for Excel. J. Stat. Softw. 7:115.

  • Metzger, M.J., Bunce, R.G.H., Jongman, R.H.G., Mücher, C.A., Watkins, J.W. 2005. A climatic stratification of Europe. Global Ecol. Biogeogr. 14:549563.

    • Search Google Scholar
    • Export Citation
  • Mitrovic, B., Stanisavljevic, D., Treskic, S., Stojakovic, M., Ivanovic, M., Bekavac, G., Rajkovic, M. 2012. Evaluation of experimental maize hybrids tested in multilocation trials using AMMI and GGE biplot analyses. Turk. J. Field Crops. 17:3540.

    • Search Google Scholar
    • Export Citation
  • Mladenov, V., Banjac, B., Krishna, A., Miloševic, M. 2012. Relation of grain protein content and some agronomic traits in European cultivars of winter wheat. Cereal Res. Commun. 40:532541.

    • Search Google Scholar
    • Export Citation
  • Olesen, J.E., Trnka, M., Kersebaum, K.C., Skjelvag, A.O., Seguin, B., Peltonen-Sainio, P., Rossi, F., Kozyra, J., Micale, F. 2011. Impacts and adaptation of European crop production systems to climate change. Eur. J. Agron. 34:96112.

    • Search Google Scholar
    • Export Citation
  • Passarella, V.S., Savin, R., Slafer, G.A. 2008. Are temperature effects on weight and quality of barley grains modified by resource availability? Aust. J. Agric. Res. 59:510516.

    • Search Google Scholar
    • Export Citation
  • Pržulj, N., Momcilovic, V. 2012. Spring barley performances in the Pannonian zone. Genetika 44:499512.

  • Pržulj, N., Momcilovic, V., Simic, J., Mirosavljevic, M. 2014. Effect of growing season and variety on quality of spring two-rowed barley. Genetika 46:5973.

    • Search Google Scholar
    • Export Citation
  • Rao, P.S., Reddy, P.S., Rathore, A., Reddy, B.V., Panwar, S. 2011. Application GGE biplot and AMMI model to evaluate sweet sorghum (Sorghum bicolor) hybrids for genotype × environment interaction and seasonal adaptation. Ind. J. Agric. Sci. 81:438844.

    • Search Google Scholar
    • Export Citation
  • Romagosa, I., Fox, P. 1993. Genotype × environment interaction and adaptation. In: Hayward M.D., Bosemark, N.O., Romagosa, I. (eds), Plant Breeding: Principles and Prospects. Chapman and Hall. London, UK. pp. 373390.

    • Search Google Scholar
    • Export Citation
  • Romagosa, I., van Eeuwijk, F.A., Thomas, W.T.B. 2009. Statistical analyses of genotype by environment data. In: Phohens, J., Nuez, F., Carena, M.J., (eds), Handbook of Plant Breeding. Elsevier. New York, NY, USA. pp. 141.

    • Search Google Scholar
    • Export Citation
  • Schelling, K., Born, K., Weissteiner, C., Kühbauch, W. 2003. Relationships between yield and quality parameters of malting barley (Hordeum vulgare L.) and phenological and meteorological data. J. Agron. Crop Sci. 189:113122.

    • Search Google Scholar
    • Export Citation
  • Shah, N.H., Paulsen, G.M. 2003. Interaction of drought and high temperature on photosynthesis and grain-filling of wheat. Plant Soil 257:219226.

    • Search Google Scholar
    • Export Citation
  • Sivapalan, S., Brien, L.O., Ferrara, G.O., Hollamby, G.L., Barclay, I, Martin, P.J. 2000. An adaptation analysis of Australian and CIMMYT/ICARDA wheat germplasm in Australian production environments. Aust. J Agric. Res. 51:903915.

    • Search Google Scholar
    • Export Citation
  • Slafer, G.A. 2003. Genetic basis of yield as viewed from a crop physiologist’s perspective. Ann. Appl. Biol. 142:117128.

  • StatSoft, Inc. 2011. STATISTICA (data analysis software system), version 10 (www.statsoft.com).

  • Ugarte, C., Calderini, D.F., Slafer, G.A. 2007. Grain weight and grain number responsiveness to pre-anthesis temperature in wheat, barley and triticale. Field. Crop. Res. 100:240248.

    • Search Google Scholar
    • Export Citation
  • Ullrich, S.E. 2011: Significance, adaptation, production, and, trade of barley. In: Ullrich, S.E., (ed.), Barley production, improvement, and uses. John Wiley & Sons Inc. Ames, IA, USA. pp. 313.

    • Search Google Scholar
    • Export Citation
  • Wardlaw, I.F., Dawson, I.A., Munibi, P., Fewster, R. 1989. The tolerance of wheat to high temperatures during reproductive growth. Survey procedures and general response patterns. Aust. J. Agric. Res. 40:113.

    • Search Google Scholar
    • Export Citation
  • Yan, W., Rajcan, I. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci. 42:1120.

  • Zobel, R., Wright, M.J., Gauch, H.G. 1988. Statistical analysis of yield trial. Agron. J. 80:388393.

Click HERE for submission guidelines

Manuscript submission: CRC Manuscript Submission

 

Senior editors

Editor(s)-in-Chief: Pauk, János

Technical Editor(s): Hajdu Buza, Kornélia

Technical Editor(s): Lantos, Csaba

Editorial Board

  • A. Aniol (Poland)
  • P. S. Baenziger (USA)
  • R.K. Behl (India)
  • F. Békés (Australia)
  • L. Bona (Hungary)
  • A. Börner (Germany)
  • R. N. Chibbar (Canada)
  • S. Gottwald (Germany)
  • A. Goyal (Canada)
  • H. Grausgruber (Austria)
  • T. Harangozó (Hungary)
  • E. Kapusi (Austria)
  • E.K. Khlestkina (Russia)
  • J. Kolmer (USA)
  • V. Korzun (Germany)
  • R. A. McIntosh (Australia)
  • Á. Mesterházy (Hungary)
  • A. Mohan (USA)
  • I. Molnár (Hungary)
  • M. Molnár-Láng (Hungary)
  • A. Pécsváradi (Hungary)
  • S. K. Rasmussen (Denmark)
  • N. Rostoks (Latvia)
  • M. Taylor (Germany)
  • J. Zhang (China)
  • X.F. Zhang (USA)

 

Senior Editorial Board

  • P. Bartos (Czech Republic)
  • H. Bürstmayr (Austria)
  • J. Johnson (USA)
  • Z. Kertész (Hungary)
  • G. Kimber (USA)
  • J. Matuz (Hungary)

Cereal Research Communications
Cereal Research Non-Profit Ltd. Company
Address: P.O. Box 391, H-6701 Szeged, Hungary
Phone: +36 62 435 235
Fax: +36 62 420 101
E-mail: crc@gk-szeged.hu

Indexing and Abstracting Services:

  • AgBiotechNet Abstracts
  • Agricola
  • Biological Abstracts
  • BIOSIS Previews
  • CAB Abstracts
  • Current Contents/Agriculture
  • Biology & Environmental Sciences
  • ISI Web of Science/li>
  • Science Citation Index Expanded
  • SCOPUS

 

Cereal Research Communications
Language English
Size B5
Year of
Foundation
1973
Volumes
per Year
1
Issues
per Year
4
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0133-3720 (Print)
ISSN 1788-9170 (Online)