Evaluation of spring barley breeding lines in a two-year multi-location experiment using some statistical methods

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Abstract

In breeding experiments conducted prior to tests connected with the registration of new breeding lines of crops, pre-preliminary and preliminary trials are carried out. In this study a comparison was made among some models of analysis of variance, in relation to the selection of new breeding lines of spring barley (Hordeum vulgare L.). The aim is to determine whether the choice of model of analysis of variance may influence the choice of tested breeding lines. The trait considered was the yield in two years of trials. A more comprehensive analysis of variance model was found to be superior. It was also found that the results of analyses performed using average measurements for lines significantly differ from those obtained on the basis of all measurements. It was concluded that the type of ANOVA model used may have an impact on inferences about breeding lines. Moreover, a lack of stability in the yields of tested lines was revealed, implying the necessity of several years of trials.

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  • Alghamdi S.S. (2004): Yield stability of some soybean genotypes across diverse environment. Pakistan Journal of Biological Sciences 7: 2109-2114.

  • Allard R.W. (1999): Principles of Plant Breeding. John Wiley Publishing New York.

  • Bystry Z. Adamska E. Rybiński W. (2005): Evaluation of breeding lines of malting barley based on the results of a pre-registration trial (in Polish: Ocena rodów jęczmienia browarnego na podstawie wyników doświadczenia wstępnego). Biuletyn IHAR 235: 139-145.

  • Elandt R. (1964): Statistics in experimental agriculture (in Polish: Statystyka matematyczna w zastosowaniu do doswiadczalnictwa rolniczego). PWN Warszawa.

  • Emede T.O. Alika J.E. (2012): Variation in agronomic characters among high and low nitrogen S2 maize (Zea mays L) lines grown in high and low nitrogen environments. Maydica 57: 139-146.

  • Fan X.M. Kang M. Chen H. Zhang Y. Tan J. Xu C. (2007): Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan China. Agronomy Journal 99: 220-228.

  • Kempton R.A. (1984): The use of biplots in interpreting variety by environment interactions. Journal of Agricultural Science Cambridge 103: 123-135.

  • Montgomery D.C. (2000): Design and Analysis of Experiments Wiley (5th Edition).

  • Piepho H.P. (1997): Analyzing genotype-environment data by mixed models with multiplicative terms. Biometrics 53: 761-767.

  • Smith A.B. Cullis B.R. Thompson R. (2005): The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches. Journal of Agricultural Science 143: 449-462.

  • Stehman S.V. (1992): Comparison of systematic and random sampling for estimating the accuracy of maps generated from remotely sensed data. Photogrammetric Engineering & Remote Sensing 58: 1343-1350.

  • Węgrzyn S. (2001): An application of some statistical methods in plant breeding trials (in Polish: Możliwości wykorzystania metod statystycznych do opracowania wyników doświadczeń w hodowli roślin). Biuletyn IHAR 218/219: 5-14.

  • Wieringen W.S. Heuvel E.R. (2005): A Comparison of Methods for the Evaluation of Binary Measurement Systems. Quality Engineering 17: 495-507.

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