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
Anderson W. K. 2010. Closing the gap between actual and potential yield of rainfed wheat. The impacts of environment, management and cultivar. Field Crops Research 116: 14 — 22.
Google Scholar
Annicchiarico P. 2002. Genotype × environment interactions — Challenges and opportunities for plant breeding and cultivar recommendations, FAO plant productions and protection paper 174.
Google Scholar
Annicchiarico P., Chiapparino E., Perenzin M. 2010. Response of common wheat varieties to organic and conventional production systems across Italian locations, and implications for selection. Field Crops Research, 116: 230 — 238.
Google Scholar
Ayoub M., Guertin S., Fregeau-Reid J., Smith D. L. 1994. Nitrogen fertilizer effect on breadmaking quality of hard red spring wheat in eastern Canada. Crop Science 34: 1346 — 1352.
Google Scholar
Carr P. M., Horsley R. D., Poland W. W. 2003. Tillage and seeding rate effects on wheat cultivars:
Google Scholar
I. grain production. Crop Sci. 43: 202 — 209.
Google Scholar
COBORU. 2002. Zboża. Metodyka badania wartości odmian. COBORU, Słupia Wielka.
Google Scholar
Cooper M., Woodruff D.R., Phillips I. G., Basford K. E., Gilmour A. R. 2001. Genotype-by-management interactions for grain yield and grain protein concentration of wheat. Field Crops Research 69: 47 — 67.
Google Scholar
Drzazga T., Paderewski J., Mądry W., Kajewski P. 2009. Ocena rodzajów reakcji plonowania odmian pszenicy ozimej w doświadczeniach PDO na przestrzennie zmienne warunki przyrodnicze w kraju. Biul. IHAR 253: 71 — 82.
Google Scholar
Elandt R. 1964. Statystyka matematyczna w zastosowaniu do doświadczalnictwa rolniczego. PWN Warszawa: 595 ss.
Google Scholar
Fan X. M., Kang M. S., Chen H., Zhang Y., Tan J., Xu C. 2007. Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agron. J. 99: 1: 220 — 228.
Google Scholar
Geleta B., Atak M., Baenziger P. S., Nelson L. A., Baltenesperger D. D., Eskridge K. M., Shipman M. J., Shelton D. R. 2002. Seeding rate and genotype effect on agronomic performance and end-use quality of winter wheat. Crop Sci. 42: 827 — 832.
Google Scholar
Ma B. L., Yan W., Dwyer L. M., Fregeau-Reid J., Voldeng H. D., Dion Y., Nass H. 2004. Graphic analysis of genotype, environment, nitrogen fertilizer, and their interactions on spring wheat yield. Agron. J. 96: 169 — 180.
Google Scholar
McIntosh M. S 1983. Analysis of combined experiments. Crop Sci. 75:153 — 156.
Google Scholar
Mejza I. 1999. Planowanie serii doświadczeń dwuczynnikowych z rozszczepionymi jednostkami i analiza wyników. Roczniki Akademii Rolniczej w Poznaniu, Zeszyt 301.
Google Scholar
Mintenko A. S., Smith S. R., Cattani D. J. 2002. Turfgrass evaluation of native grasses for the Northern Great Plains Region. Crop Sci. 42: 2018 — 2024.
Google Scholar
Oscarsson M., Anderrsson R., Aman P., Jonsson A. 1998. Effects of cultivar, nitrogen fertilization rate and environment on yield and grain quality of barley. J. Sci. Food Agric. 78: 359 — 366.
Google Scholar
Schmidt J. P., Lamb J. A., Schmitt M. A., Randall G. W., Orf J. H., Gollany H. T. 2001. Soybean varietal response to liquid swine manure application. Agron. J. 93: 358 — 363
Google Scholar
Sharma R. C., Morgounov A. I., Braun H. J., Akin B., Keser M., Bedoshvili D., Bagci A., Martius C., van Ginkel M. 2009. Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica 171: 3 — 64.
Google Scholar
Souza E. J., Martin J. M., Guttieri M. J., O'Brien K. M., Habernicht D. K., Lanning S. P., McLean R., Carlson G. R., Talbert L. E. 2004. Influence of genotype, environment, and nitrogen management on spring wheat quality. Crop Science 44: 425 — 432.
Google Scholar
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
Abstract views: 334PDF downloads: 48
License
Copyright (c) 2011 Adriana Derejko, Wiesław Mądry, Dariusz Gozdowski, Jan Rozbicki, Jan Golba, Mariusz Piechociński, Marcin Studnicki
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Upon submitting the article, the Authors grant the Publisher a non-exclusive and free license to use the article for an indefinite period of time throughout the world in the following fields of use:
- Production and reproduction of copies of the article using a specific technique, including printing and digital technology.
- Placing on the market, lending or renting the original or copies of the article.
- Public performance, exhibition, display, reproduction, broadcasting and re-broadcasting, as well as making the article publicly available in such a way that everyone can access it at a place and time of their choice.
- Including the article in a collective work.
- Uploading an article in electronic form to electronic platforms or otherwise introducing an article in electronic form to the Internet or other network.
- Dissemination of the article in electronic form on the Internet or other network, in collective work as well as independently.
- Making the article available in an electronic version in such a way that everyone can access it at a place and time of their choice, in particular via the Internet.
Authors by sending a request for publication:
- They consent to the publication of the article in the journal,
- They agree to give the publication a DOI (Digital Object Identifier),
- They undertake to comply with the publishing house's code of ethics in accordance with the guidelines of the Committee on Publication Ethics (COPE), (http://ihar.edu.pl/biblioteka_i_wydawnictwa.php),
- They consent to the articles being made available in electronic form under the CC BY-SA 4.0 license, in open access,
- They agree to send article metadata to commercial and non-commercial journal indexing databases.
Most read articles by the same author(s)
- Wiesław Mądry, Dariusz Gozdowski, A history of the development of statistical methods for designing and analyzing agricultural experiments in the world and in Poland , Bulletin of Plant Breeding and Acclimatization Institute: No. 288 (2020): Regular issue
- Joanna Ukalska, Krzysztof Ukalski, Tadeusz Śmiałowski, Wiesław Mądry, An examination of diversity and interrelationships among traits in a winter wheat (Triticum aestivum L.) germplasm collection by multivariate methods. Part II. Principal component analysis using the phenotypic and genotypic correlation matrix , Bulletin of Plant Breeding and Acclimatization Institute: No. 249 (2008): Regular issue
- Dariusz Gozdowski, Wiesław Mądry, Zdzisław Wyszyński, Analysis of correlation and path coefficients in evaluation of relationships between grain yield and its components of two spring barley cultivars , Bulletin of Plant Breeding and Acclimatization Institute: No. 248 (2008): Regular issue
- Krzysztof Ukalski, Joanna Ukalska, Tadeusz Śmiałowski, Wiesław Mądry, An examination of diversity and interrelationships among traits in a winter wheat (Triticum aestivum L.) germplasm collection by multivariate methods. Part I. Phenotypic and genotypic correlations , Bulletin of Plant Breeding and Acclimatization Institute: No. 249 (2008): Regular issue
- Marcin Studnicki, Wiesław Mądry, Tadeusz Śmiałowski, Multivariate analysis of phenotypic diversity in Polish spring wheat collection , Bulletin of Plant Breeding and Acclimatization Institute: No. 252 (2009): Regular issue
- Helena Kubicka, Dariusz Gozdowski, Jerzy Puchalski, Wiesław Łuczak, Multivariate evaluation of variability of local rye accessions from different geographical regions based on morphological and agricultural traits , Bulletin of Plant Breeding and Acclimatization Institute: No. 264 (2012): Regular issue
- Dariusz Gozdowski, Daniel Sas, Stanisław Samborski, Andrzej Kapeliński, Evaluation of spatial variability of soil fertility and yielding of winter wheat using R software , Bulletin of Plant Breeding and Acclimatization Institute: No. 259 (2011): Regular issue
- Anna Rajfura, Wiesław Mądry, Tadeusz Drzazga, Marzena Iwańska, The clustering of locations based on multi-environment trials with different cultivars across years using the SEQRET package. Part II. An example for grain yield from winter wheat pre-registration trials , Bulletin of Plant Breeding and Acclimatization Institute: No. 250 (2008): Regular issue
- Dariusz Gozdowski, Wiesław Mądry, Characteristics and empirical comparison of simple and complex path analysis in grain yield determination by yield - related traits. Part I. Presentation of methods , Bulletin of Plant Breeding and Acclimatization Institute: No. 249 (2008): Regular issue
- Stanisław Pluta, Wiesław Mądry, Edward Żurawicz, Marcin Kozak, Statistical assessment of determination of fruit yield in blackcurrant (Ribes nigrum L.) by two multiplicative yield components , Bulletin of Plant Breeding and Acclimatization Institute: No. 249 (2008): Regular issue
