APPLICATION OF THE R SOFTWARE ENVIRONMENT FOR ANALYSIS OF VARIANCE IN BREEDING RESEARCH
https://doi.org/10.26898/0370-8799-2017-5-11
Abstract
The paper describes experience with applying the R software environment for analysis of variance in breeding studies on mutant forms and hybrids of spring triticale. The study was conducted in Novosibirsk Region, Russia in 2014. Seven spring triticale varieties were planted at two sowing rates (400 and 800 seeds per m2) and at two sowing dates (15 May and 27 May) in a randomized complete block design with four replications. Nine morphological characters were taken for evaluation of the samples. The R graphical tools were used for data exploration. The three-factor linear model was fitted for analysis of variance. Normality of model residuals was assessed by Shapiro-Wilk test, and homogeneity of variance was assessed by
Levene’s test. The analysis of variance showed that all main factors for almost all traits under study were significant. Tukey’s honestly significant difference (Tukey’s HSD) test was used to identify differences between treatment means. The comparative study of spring triticale varieties under different conditions of vegetation was performed. The mutant forms used in the experiment showed a lower level of adaptability in comparison with the cultivar Ukro.
About the Authors
A. F. CHESHKOVA
Siberian Physical-Technical Institute of Agrarian Problems, SFSCA RAS
Russian Federation
Russian Federation
Candidate of Science in Physics & Mathematics, Lead Researcher
Krasnoobsk, Novosibirsk Region, 630501, Russia
A. F. ALEYNIKOV
Siberian Physical-Technical Institute of Agrarian Problems, SFSCA RAS
Novosibirsk State Technical University
Russian Federation
Russian Federation
Doctor of Science in Engineering, Head Researcher, Professor
Krasnoobsk, Novosibirsk Region, 630501, Russia
20, Karl Marx Ave, Novosibirsk, 630073, Russia
I. G. GREBENNIKOVA
Siberian Physical-Technical Institute of Agrarian Problems, SFSCA RAS
Russian Federation
Russian Federation
Candidate of Science in Agriculture, Lead Researcher
Krasnoobsk, Novosibirsk Region, 630501, Russia
P. I. STEPOCHKIN
Siberian Research Institute of Plant Production and Breeding – Branch of the Institute of Cytology and Genetics, SB RAS
Russian Federation
Russian Federation
Doctor of Science in Agriculture, Lead Researcher
Krasnoobsk, Novosibirsk Region, 630501, Russia
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Review
For citations:
CHESHKOVA A.F., ALEYNIKOV A.F., GREBENNIKOVA I.G., STEPOCHKIN P.I. APPLICATION OF THE R SOFTWARE ENVIRONMENT FOR ANALYSIS OF VARIANCE IN BREEDING RESEARCH. Siberian Herald of Agricultural Science. 2017;47(5):88-96. (In Russ.) https://doi.org/10.26898/0370-8799-2017-5-11
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