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2015 | 52 | 2 | 105-114
Tytuł artykułu

Evaluation of experimental designs in durum wheat trials

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Variability among experimental plots may be a relevant problem in field genotype experiments, especially when a large number of entries are involved. Four field trials on 24 durum wheat genotypes were conducted in 2013/14 in order to evaluate the efficiency of Incomplete Block, Alpha and Augmented designs in comparison with the traditional Randomized Complete Block Design (RCBD). The results showed that the RCBD can be replaced by an Alpha design, which provides better control of variability among the experimental units when the number of treatments to be tested in an experiment exceeds twenty. The ranking of the genotypes across the four designs was not constant.
Wydawca
Czasopismo
Rocznik
Tom
52
Numer
2
Strony
105-114
Opis fizyczny
Daty
wydano
2015-12-01
online
2015-12-12
Twórcy
  • Faculty of Crop Science, Laboratory of Plant Breeding and Biometry, Agricultural University of Athens, 11855, Athens, Greece
  • Department of Mathematics, National Technical University of Athens, Zografou 15773, Athens, Greece, ckoukouv@math.ntua.gr
Bibliografia
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  • Khan, M.I., Ali Shah S.A., Khan M., Ullah K., Ullah R., Khatak S.I. (2015): Comparative efficiency of alpha lattice design and complete randomized block design in wheat, maize and potato field trials. Journal of Resources Development and Management 11: 115-117.
  • Lin, C.S., Poushinsky G. (1983): A modified augmented design for an early stage of plant selection involving a large number of test lines without replication. Biometrics 39: 553-561.[Crossref]
  • Masood, M.A., Farooq K., Mujahid Y., Anwar M.Z. (2008): Improvement in precision of agricultural field experiments through design and analysis. Pakistan Journal of Life and Social Science 6: 89-91.
  • Patterson, H., Williams E.R. (1976): A new class of resolvable incomplete block designs. Biometrika 63: 83-92.[Crossref]
  • R Core Team (2014): R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.Rproject.org/.
  • Stringer J.K., Smith A.B., Cullis B.R. (2012): Spatial analysis of agricultural field experiments. In: K. Hinkelmann (Ed.), Design and analysis of experiments, Vol 3, Special designs and applications: 109-136.
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  • Yau, S.K. (1997): Efficiency of alpha-lattice designs in international variety yield trials of barley and wheat. Journal of Agricultural Science, Cambridge 128: 5-9.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.doi-10_1515_bile-2015-0010
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