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
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Copyright (c) 2008 Dariusz Gozdowski, Wiesław Mądry, Zdzisław Wyszyński, Maria Kalinowska-Zdun
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