Grain yield formation strategies in advanced lines of winter triticale grown in different environments
Wiesław Mądry
wieslaw_madry@sggw.edu.plKatedra Biometrii, SGGW, Warszawa (Poland)
Dariusz Gozdowski
Katedra Biometrii, SGGW, Warszawa (Poland)
Jan Rozbicki
Katedra Agronomii, SGGW. Warszawa (Poland)
Mirosław Pojmaj
Hodowla Roślin Danko Sp. z o.o., z/s w Choryni, Oddział Laski (Poland)
Stanisław Samborski
Katedra Agronomii, SGGW. Warszawa (Poland)
Abstract
The studies were focused on the evaluation of 40 advanced lines of winter triticale for grain yield (per m2) and its three components (spikes per m2, grains per spike and TGW), using the data from pre-registration yield trials performed at three locations: Dębina, Laski and Sobiejuchy. The investigations were aimed at multivariate assessment of distinct yield component architectures in the lines, describing their quantitative yield formation strategies. At each location, clusters of lines with similar values of the yield components were distinguished. Similar combinations of the all yield component levels in each lines group under an environment describe a distinct quantitative strategy of grain yield formation among the lines, as expressed by the levels of the considered yield-contributing traits under the environment. Diversity of the yield formation strategies among the lines was studied using PCA as an ordination method. In each environment the lines were substantially variable for the yield components, while their variation for grain yield was relatively lesser due to the compensation between spikes per m2 and grains per spike. The strategies of grain yield formation in terms of the yield components in the winter triticale genotypes are affected by the genotype × environment interaction. This fact can make rather difficult to determine selection criterions as based on three yield components. The highest grain yie
Keywords:
cluster analysis, grain yield, multivariate diversity, principal component analysis, quantitative yield formation strategy, yield component architecture, test locations, winter triticaleReferences
Abayomi,Y., Wright, D. 1999. Effects of water stress on growth and yield of spring wheat (Triticum aestivum L.) cultivars. Trop. Agric. 76: 120 — 125.
Google Scholar
Allaru M., Moller B., Hansen A. 2004. Triticale yield formation and quality influenced by different N fertilization regimes. Agronomy Research 2: 3 — 12.
Google Scholar
Anderson W. 1986. Some relationships between plant population, yield components and grain yield of wheat in a Mediterranean environment. Aust. J. Agric Res. 37: 219 — 233.
Google Scholar
Annicchiarico P. 2002. Genotype × environment interactions: Challenges and opportunities for plant breeding and cultivar recommendations. FAO Plant Production Protection Paper 174. FAO, Rome.
Google Scholar
Annicchiarico P., Pecetti P. 1995. Morpho-physiological traits to complement grain yield selection under semi-arid Mediterranean conditions in each of the durum wheat types Mediterranean typical and syriacum. Euphytica 86: 191 — 198.
Google Scholar
Bidinger F. R., Mahalakshmi V., Rao G. D. P. 1987. Assessment of drought resistance in pearl millet [Pennisetum americanum (L.) Leeke]. I. Factors affecting yields under stress. Aust. J. Agric. Res. 38: 37 — 48.
Google Scholar
Ceccarelli S., Acevedo E., Grando S. 1991. Breeding for yield stability in unpredictable environments: single traits, interaction between traits, and architecture of genotypes. Euphytica 56: 169 — 185.
Google Scholar
Chmielewski F., Kohn W. 2000. Impact of weather on yield components of winter rye over 30 years. Agric. Forest Meteorol. 102: 253 — 261.
Google Scholar
Dhungana P., Eskridge K. M., Baenziger P. S., Campbell B. T., Gill K. S., Dweikat I. 2007. Analysis of genotype-by-environment interaction in wheat using a structural equation model and chromosome substitution lines. Crop Sci. 47: 477 — 484.
Google Scholar
de la Vega A. J., Hall A. J., Kroonenberg P. M. 2002. Investigating the physiological bases of predictable and unpredictable genotype by environment interactions using three-mode pattern analysis. Field Crops Research 78: 165 — 183.
Google Scholar
Dofing S. M., Knight C. W. 1992. Alternative model for path analysis of small-grain yield. Crop Sci. 32, 487 — 489.
Google Scholar
Duggan B. L., Domitruk D. R., Fowler D. B. 2000. Yield component variation in winter wheat grown under drought stress. Can. J. Plant Sci. 80: 739 — 745.
Google Scholar
Epinat-Le Signor C., Dousse S., Lorgeou J., Denis J. B., Bonhomme R., Carolo P., Charcosset A. 2001. Interpretation of genotype × environment interactions for early maize hybrids over 12 years. Crop Sci. 41: 663 — 669.
Google Scholar
García del Moral L. F.,.Rharrabti Y., Elhani S., Martos V., Royo C. 2005. Yield formation in Mediterranean durum wheats under two contrasting water regimes based on path-coefficient analysis. Euphytica 146: 203 — 212.
Google Scholar
Garcıa del Moral, L. F., Ramos, J.M., Garcı´a del Moral, B., Jimenez-Tejada, M.P., 1991. Ontogenic approach to grain production in spring barley based on path-coefficient analysis. Crop Sci. 31: 1179 — 1185.
Google Scholar
Garcıa del Moral, L. F., Rharrabti, Y., Villegas, D., Royo, C., 2003. Evaluation of grain yield and its components in durum wheat under Mediterranean conditions: an ontogenic approach. Agron. J. 95: 266 — 274.
Google Scholar
Giunta F., Motzo R., Deidda M. 1999. Grain yield analysis of a triticale (x Triticosecale Wittmack) collection grown in a Mediterranean environment. Field Crops Research 63: 199 — 210.
Google Scholar
Giunta, F., Motzo, R., Deidda, M. 1993. Effect of drought on yield and yield components of durum wheat and triticale in a Mediterranean environment. Field Crops Res. 33: 399 — 409.
Google Scholar
Gonzalez A., Martın I., Ayerbe L. 2007. Response of barley genotypes to terminal soil moisture stress: phenology, growth, and yield. Aust. J. Agric. Res. 58: 29 — 37.
Google Scholar
Khanna-Chopra R., Viswanathan C. 1999. Evaluation of heat stress tolerance in irrigated environment of T. aestivum and related species. I. Stability in yield and yield components. Euphytica 106: 169 — 180.
Google Scholar
Krajewski P., Kaczmarek Z., Czajka S. 2006. EKSPLAN wersja 2. Planowanie i analiza statystyczna doświadczeń hodowlanych. Instytut Genetyki Roślin PAN, Poznań.
Google Scholar
Lafitte H.R., Courtois B. 2002. Interpreting cultivar × environment interactions for yield in upland rice: assigning value to drought-adaptive traits. Crop Sci. 42: 1409 — 1420.
Google Scholar
Leilah A. A., Al-Khateeb S. A. 2005. Statistical analysis of wheat yield under drought conditions. J. Arid Environ. 61: 483 — 496.
Google Scholar
Mądry W. 2004. Modele i metody statystyczne analizy interakcji genotypowo-środowiskowej, stabilności i adaptacji genotypów. Post. Nauk Roln. 2/ 308: 29 — 43.
Google Scholar
Mądry W., Gozdowski D., Rozbicki J., Pojmaj M., Samborski S. 2007. Związki między plonem ziarna a jego składowymi w populacji rodów hodowlanych pszenżyta ozimego w trzech stacjach doświadczalnych. Biul. IHAR (w druku).
Google Scholar
Mohammadi S.A., Prasanna.M. 2003. Analysis of genetic diversity in crop plants -salient statistical tools and considerations. Crop Sci. 43: 1235 — 1248.
Google Scholar
Moragues M., Garcıa del Moral L. F., Moralejo M., Royo C. 2006. Yield formation strategies of durum wheat landraces with distinct pattern of dispersal within the Mediterranean basin. I. Yield components. Field Crops Res. 95: 194 — 205.
Google Scholar
Motzo R., Giunta F., Deidda M. 2001. Factors affecting the genotype x environment interaction in spring triticale grown in a Mediterranean condition. Euphytica 121: 317 — 324.
Google Scholar
Oettler G., Tams S. H., Utz H. F., Bauer E., Melchinger A. E. 2005. Prospects for hybrid breeding in winter triticale: I. Heterosis and combining ability for agronomic traits in European elite germplasm. Crop Sci. 45:1476–1482.
Google Scholar
Royo C., Voltas, J., Romagosa I. 1999. Remobilization of preanthesis assimilates to the grain for grain only and dual purpose (forage and grain) triticale. Agron. J. 91:312–316.
Google Scholar
Royo C., Álvaro F., Martos V., Ramdani A., Isidro J., Villegas D., García del Moral L. F. 2007. Genetic changes in durum wheat yield components and associated traits in Italian and Spanish varieties during the 20th century. Euphytica 155: 259 — 270.
Google Scholar
Rozbicki J. 1997. Agrotechniczne uwarunkowania wzrostu, rozwoju i plonowania pszenżyta ozimego. Fundacja "Rozwój SGGW".
Google Scholar
Santiveri F., Royo C., Romagosa I. 2002. Patterns of grain filling of spring and winter hexaploid triticales. Eur. J. Agron. 16: 219 — 230.
Google Scholar
SAS Institute. 2001. SAS system for Windows. v. 8.2. SAS Inst., Cary, NC.
Google Scholar
Simane, B., Struik, P. C., Nachit, M., Peacock, J. M., 1993. Ontogenic analysis of yield components and yield stability of durum wheat in water-limited environments. Euphytica 71: 211 — 219.
Google Scholar
van Ginkel M., Calhoun D. S., Gebeyehu G., Miranda A., Tian-you C., Pargas Lara R., Trethowan R. M., Sayre K., Crossa J., Rajaram S. 1998. Plant traits related to yield of wheat in early, late, or continuous drought conditions. Euphytica 100: 109–121.
Google Scholar
van Oosterom E. J., Bidinger F. R, Weltzien E. R. 2003. A yield architecture framework to explain adaptation of pearl millet to environmental stress. Field Crops Research 80: 33 — 56.
Google Scholar
van Oosterom E.J., Kleijn D., Ceccarelli S., Nachit M. M. 1993. Genotype-by-environment interactions of barley in the Mediterranean region. Crop Sci. 33: 669 — 674.
Google Scholar
van Oosterom E.J., Weltzien E., Yadav O. P., Bidinger F. R. 2006. Grain yield components of pearl millet under optimum conditions can be used to identify germplasm with adaptation to arid zones. Field Crops Research 96: 407 — 421.
Google Scholar
Vargas M., Crossa J., Reynolds M. P., Dhungana P., Eskridge K. M. 2007.Structural equation modelling for studying genotype × environment interactions of physiological traits affecting yield in wheat. J. Agric. Sci. 145:151 — 161.
Google Scholar
Ward J. 1963. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58, 301, 236 — 244.
Google Scholar
Yan W., Hunt. L. A. 2001. Interpretation of genotype × environment interaction for winter wheat yield in Ontario. Crop Sci. 41: 19–25.
Google Scholar
Yan W., Wallace D. H. 1995. Breeding for negatively associated traits. Plant Breeding Reviews 13: 141 — 177.
Google Scholar
Yoshihira T., Araki K., Nakatsukasa K. 2004. Growth characteristics of winter triticale in Hokkaido collected from various countries: I. Comparison of yields and related characteristics of promising varieties and low-yielding varieties. Journal of Rakuno Gakuen University. Natural Science. 28:233 — 244.
Google Scholar
Yoshihira T., Karasawa T, Nakatsuka K. 2002. Comparison of growth characteristics and yield components between high-yielding and low-yielding varieties of winter triticale in Hokkaido, Japan. Journal of Rakuno Gakuen University. Natural Science, 26: 327 — 337.
Google Scholar
Authors
Dariusz GozdowskiKatedra Biometrii, SGGW, Warszawa Poland
Authors
Jan RozbickiKatedra Agronomii, SGGW. Warszawa Poland
Authors
Mirosław PojmajHodowla Roślin Danko Sp. z o.o., z/s w Choryni, Oddział Laski Poland
Authors
Stanisław SamborskiKatedra Agronomii, SGGW. Warszawa Poland
Statistics
Abstract views: 231PDF downloads: 33
License
Copyright (c) 2007 Wiesław Mądry, Dariusz Gozdowski, Jan Rozbicki, Mirosław Pojmaj, Stanisław Samborski
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
- Adriana Derejko, Wiesław Mądry, Dariusz Gozdowski, Jan Rozbicki, Jan Golba, Mariusz Piechociński, Marcin Studnicki, The influence of cultivar, location, crop management intensities, and their interactions on winter wheat yield in post-registration multi-environment trials (PDO) , Bulletin of Plant Breeding and Acclimatization Institute: No. 259 (2011): 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
