Characteristics and empirical comparison of simple and complex path analysis in grain yield determination by yield - related traits. Part II. Example on spring barley
Dariusz Gozdowski
dariusz_gozdowski@sggw.edu.plKatedra Doświadczalnictwa i Bioinformatyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie (Poland)
Wiesław Mądry
Katedra Doświadczalnictwa i Bioinformatyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie (Poland)
Zdzisław Wyszyński
Katedra Agronomii, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie (Poland)
Maria Kalinowska-Zdun
Katedra Agronomii, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie (Poland)
Abstract
Evaluation of determination of cereals yield is important for determining, which yield-related traits influence yield variability, and what criteria should be taken in breeding of high-yielding genotypes. This paper shows the determination of spring barley yield by some yield-related traits. The analyses were conducted using two approaches: simple paths, in which we assume that all traits have direct effects on grain yield, and complex paths, where yield-related traits were divided into primary yield-related traits (which have direct influence on yield) and secondary yield-related traits. The obtained results proved that the approach with simple casual model should not be used when yield-related traits formed at different developmental stages are correlated. Using the simple path analysis the effects of tillering and of a number of plants were not proved, although these traits certainly have significant influence on yield variability. The approach with complex paths appeared to be more useful as it relates to the ontogenetic sequence of forming of particular yield-related traits.
Keywords:
path analysis, yield-related traits, yield componentsReferences
Board J. ,Kang, M. S., Bodrero M. L. 2003. Yield components as indirect selection criteria for late-planted soybean cultivars. Agron. J. 95: 420 — 429.
Google Scholar
Dofing M., Knight W. 1992. Alternative model for path analysis of small-grain yield. Crop Sci. 32: 487 — 489.
Google Scholar
Garcia del Moral L., Rharrabti Y., Elhani S., Martos V., Royo C. 2005. Yield formation in Mediterranean durum wheat’s under two contrasting water regimes based on path-coefficient analysis. Euphytica 146: 203 — 212.
Google Scholar
Gozdowski D., Mądry W. 2008. Charakterystyka i empiryczne porównanie prostej oraz złożonej analizy ścieżek w ocenie determinacji plonu roślin przez ich cechy plonotwórcze. Cz. I Prezentacja stosowanych metod. Biul. IHAR (złożone)
Google Scholar
Klepper B., Rickman R., Waldman S., Chevalier, P. 1998. The physiological life cycle of wheat: Its use in breeding and crop management. Euphytica 100: 341 — 347.
Google Scholar
Kozak M., Mądry W. 2006. Note on yield component analysis. Cereal Research Communications 34 (2-3): 933 — 940.
Google Scholar
Moragues M., Garcia del Moral L., 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
Samonte S., Wilson L., McClung A. 1998. Path analyses of yield and yield-related traits of fifteen diverse rice genotypes. Crop Sci., 38: 1130 — 1136.
Google Scholar
Seker H., Serin Y. 2004. Explanation of relationship between seed yield and some morphological traits in smooth bromegrass (Bromus inermis Leys.) by path analysis. European Journal of Agronomy 21: 1 — 6
Google Scholar
Sinebo W. 2002. Yield relationships of barleys grown in a tropical highland environment. Crop Sci. 42: 428 — 437.
Google Scholar
Slafer G. 2003: Genetic basis of yield as viewed from a crop physiologist’s perspective. Ann. Appl. Biol. , 142: 117 — 128.
Google Scholar
Wright S. 1921. Correlation and causation. J. Agric. Res., 20: 557 — 585.
Google Scholar
Wu Y., Taliaferro C., Martin D., Goad C., Anderson J. 2006. Genetic variability and relationships for seed yield and its components in Chinese Cynodon accesions. Field Crops Research 98: 245 — 252.
Google Scholar
Authors
Dariusz Gozdowskidariusz_gozdowski@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie Poland
Authors
Wiesław MądryKatedra Doświadczalnictwa i Bioinformatyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie Poland
Authors
Zdzisław WyszyńskiKatedra Agronomii, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie Poland
Authors
Maria Kalinowska-ZdunKatedra Agronomii, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie Poland
Statistics
Abstract views: 85PDF downloads: 14
License
Copyright (c) 2008 Dariusz Gozdowski, Wiesław Mądry, Zdzisław Wyszyński, Maria Kalinowska-Zdun
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
- 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
- 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
