Affiliation:
1. Nauchno-issledovatel'skiy institut lesa Yugo-Zapadnoy Anatolii
2. Isparta University of Applied Sciences
Abstract
Many environmental and biological factors could be effective on estimation of genetic parameters in progeny trials. Number of blocks (also called as replicate) is one of the most important environmental factors in these estimations. Effect of block scenarios on genetic parameters were investigated based on height and diameter at breast height in a 23-year-old progeny trial established by 4 blocks of seed stand and seed orchard seedlings of Turkish red pine (Pinus brutia Ten.) in this study. Averages were 14.14 m for tree height and 17.69 cm for diameter at breast height in polled seed sources. Generally significant (p<0.05) differences among blocks, and families for the traits in the scenarios were found by results of analysis of variance. While variance of error was similar for both traits, there were large differences were estimated among other variance components for the scenarios. Individual heritability, phenotypic coefficient of variation, genetic coefficient of variation, and genetic gain varied for the traits and block scenarios. Results of the study emphasized effect of block numbers on genetic parameters
Publisher
Voronezh State University of Forestry and Technologies named after G.F. Morozov
Reference26 articles.
1. Koski V, Antola J. National tree breeding and seed production programme for Turkey 1994-2003. Ankara, 1993; 52 p. www.ortohum.gov.tr, Koski V, Antola J. National tree breeding and seed production programme for Turkey 1994-2003. Ankara, 1993; 52 p. www.ortohum.gov.tr
2. Anonymous . Forest inventory of Turkey. General Directorate of Forestry of Turkey, Ankara, 2021; https://www.ogm.gov.tr (acess: 07.07.2021) (in Turkish)., Anonymous . Forest inventory of Turkey. General Directorate of Forestry of Turkey, Ankara, 2021; https://www.ogm.gov.tr (acess: 07.07.2021) (in Turkish).
3. Brownie C., Bowman D.T., Burton J. W. Estimating spatial variation in analysis of data from yield trials: a comparison of methods. Agronomy Journal. 1993; (85):1244-1253. DOI:10.2134/agronj1993.00021962008500060028x, Brownie C., Bowman D.T., Burton J. W. Estimating spatial variation in analysis of data from yield trials: a comparison of methods. Agronomy Journal. 1993; (85):1244-1253. DOI:10.2134/agronj1993.00021962008500060028x
4. Neter J., Kutner M., Wasserman W., Nachtsheim C. Applied linear statistical models (4th ed.). New York: 1996. 1408 p. ISBN 978-0256117363., Neter J., Kutner M., Wasserman W., Nachtsheim C. Applied linear statistical models (4th ed.). New York: 1996. 1408 p. ISBN 978-0256117363.
5. Costa e Silva J., Dutkowski G. W., Gilmour A. R. Analysis of early tree height in forest genetic trials is enhanced by including a spatially correlated residual. Canadian Journal of Forest Research. 2001; (31):1887-1893. https://doi.org/10.1139/x01-123, Costa e Silva J., Dutkowski G. W., Gilmour A. R. Analysis of early tree height in forest genetic trials is enhanced by including a spatially correlated residual. Canadian Journal of Forest Research. 2001; (31):1887-1893. https://doi.org/10.1139/x01-123
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献