The influence of cultivar, location, crop management intensities, and their interactions on winter wheat yield in post-registration multi-environment trials (PDO)
Adriana Derejko
adriana_derejko@sggw.edu.plKatedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa (Poland)
Wiesław Mądry
Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa (Poland)
Dariusz Gozdowski
Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa (Poland)
Jan Rozbicki
Katedra Agronomii, SGGW, Warszawa (Poland)
Jan Golba
Katedra Agronomii, SGGW, Warszawa (Poland)
Mariusz Piechociński
Katedra Agronomii, SGGW, Warszawa (Poland)
Marcin Studnicki
Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa (Poland)
Abstract
The objective of the research was adaptation, presentation, empirical illustration and evaluation of usefulness of the three-way combined analysis of variance and the Tukey's procedure of multiple mean comparisons to inference on cultivars response patterns to agro-ecological conditions (environments, locations) and to two crop management intensities (A1 and A2), using data obtained in post-registration two-factorial multi-environment trials (the PDO trials), arranged in split-block design. Empirical illustration involves the analysis of winter wheat grain yield data recorded on micro-plots within plots of the PDO trials in 2009. The proposed statistical methodology was effective to inference on the studied cultivars response to environments and the crop management intensities. In the weather conditions of 2009 the winter wheat cultivars responded variously with grain yield to varied environments across Poland, meanwhile they showed similar increase of yield under more intensive crop management, independently on the test locations. The mean positive effects of more intensive crop management on yield decreased in locations when their productivity (fertility) decreased.
Keywords:
interaction cultivar × environment, interaction cultivar × crop management intensity, interaction environment × crop management intensity, incomplete split-block design, combined analysis of variance, Tukey’s procedureReferences
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Authors
Adriana Derejkoadriana_derejko@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa Poland
Authors
Wiesław MądryKatedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa Poland
Authors
Dariusz GozdowskiKatedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa Poland
Authors
Jan RozbickiKatedra Agronomii, SGGW, Warszawa Poland
Authors
Jan GolbaKatedra Agronomii, SGGW, Warszawa Poland
Authors
Mariusz PiechocińskiKatedra Agronomii, SGGW, Warszawa Poland
Authors
Marcin StudnickiKatedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa Poland
Statistics
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Copyright (c) 2011 Adriana Derejko, Wiesław Mądry, Dariusz Gozdowski, Jan Rozbicki, Jan Golba, Mariusz Piechociński, Marcin Studnicki
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