Short communication. Assessing relationships between seed yield components in spring-sown field pea (Pisum sativum L.) cultivars in Bulgaria by correlation and path analysis
Abstract
An analysis was carried out during 2007-2009 on nine spring-sown Bulgarian and Ukrainian field pea cultivars. Strongest positive phenotypic correlations were observed between number of fertile nodes per plant and numbers of pods (r = 0.97) and number of seeds per plant (r = 0.97) and between number of seeds and pods per plant (r = 0.94); between seed weight per plant and number of seeds (r = 0.83) and fertile nodes per plant (r = 0.77). High genetic correlations were found between plant height and first pod height (r = 0.89), between number of pods per plant and seed weight per plant (r = 0.91) and number of seeds per plant (r = 0.96) and between seed weight per plant and number of branches per plant (r = 0.92) and number of fertile nodes per plant (r = 0.89). The strongest and direct positive effect on seed yield was found in branch length (17.70), 1000-seed weight (5.92) and number of seeds per pod (4.93). The highest positive indirect contribution was in branch length to number of seeds per pod (2214.8), number of fertile nodes per plant (1258.0) and number of seeds per plant (708.70). Based on the trait association and the path coefficients for seed yield and its components, it can be concluded that field pea breeders should pay attention to traits such as branch length, 1000-seed weight and number of seeds per pod when selecting high-yielding genotypes in field pea.Downloads
References
Abd El-Moneim AM, 1993. Agronomic potential of three vetches (Vicia spp.) under rainfed conditions. J Agron Crop Sci 170: 113-120.
http://dx.doi.org/10.1111/j.1439-037X.1993.tb01064.x
Abnasan NT, Garin CS, Tandang LL, 1987. Varietal evaluation and correlation studies in fifteen lines of garden pea. Philipp J Crop Sci 1: 11.
Blum A, Lehrer W, 1972. Genetic and environmental variability in some agronomical and botanical characters of common vetch (Vicia sativa L.). Euphytica 22: 89-97.
http://dx.doi.org/10.1007/BF00021559
Çakmakci S, Açikgöz E, 1994. Components of seed and straw yield in common vetch (Vicia sativa L.). Plant Breed 113: 71-74.
http://dx.doi.org/10.1111/j.1439-0523.1994.tb00704.x
Cakmakci S, Aydinoglu B, Karaca M, 2003. Determining relationships among yield and yield components using correlation and path coefficient analyses in summer sown common vetch (Vicia sativa L.) genotypes. Pak J Bot 35: 387-400.
Cakmakci S, Aydinoglu B, Karaca M, Bilgen M, 2006. Heritability of yield components in common vetch (Vicia sativa L.). Acta Agric Scand Sect B Plant Soil Sci 56: 54-59.
Charles-Edwards DA, 1982. Physiological determinants of crop growth. Academic Press, Sydney.
Cruz CD, 2009. Programa Genes: Biometria. version 7.0. University of Federal Viçosa, Viçosa, Brazil.
Dewey D, Lu Kh, 1959. A correlation and path-coefficient analysis of components of crested wheatgrass seed production Agron J 51: 515-518.
http://dx.doi.org/10.2134/agronj1959.00021962005100090002x
Espósito MA, Alejandra ME, Pamela CV, López LD, Sebastián AF, Luis CE, 2009. Relationships among agronomic traits and seed yield in pea. BAG J Basic Appl Genet 20: 1.
Fırıncıoğlu HK, Erbektaş E, Doğruyol L, Mutlu Z, Ünal S, Karakurt E, 2009. Phenotypic variation of autumn and spring-sown vetch (Vicia sativa ssp.) populations in central Turkey. Span J Agric Res 7: 596-606.
Genchev G, Marinkov E, Yovcheva V, Ogyanova A, 1975. Biometrichni metodi v rastenievadstvoto, genetikata i selektsiyata. Zemizdat, Sofia. [In Bulgarian].
PMid:1179635
Mehandjiev A, Mihov M, Noveva S, Rodeva R, Kosturkova G, 2006. Some results from the investigation on genetic improvement of pea (Pisum sativum L). Field Crop Stud 3: 397-403.
Mihailović V, Mikić A, 2010. Novel directions of breeding annual feed legumes in Serbia. Proc XII Int Symp on Forage Crops of Republic of Serbia, Kruševac, Serbia, 26-28 May, 1, pp: 81-90.
Mihailović V, Ćupina B, Mikić A, Katić S, Karagić Đ, 2007. Relationships between agronomic characteristics in dual-purpose pea. Book of Abstracts 6th Eur Conf Grain Legumes Integrating Legume Biology for Sustainable Agriculture, Lisbon, Portugal, 12-16 November, p: 116.
Mikić A, Mihailović V, Ćupina B, Đorđević V, Milić D, Duc G, Stoddard FL, Lejeune-Hénaut I, Marget P, Hanocq E, 2011a. Achievements in breeding autumn-sown annual legumes for temperate regions with emphasis on the continental Balkans. Euphytica 180: 57-67.
http://dx.doi.org/10.1007/s10681-011-0453-7
Mikić A, Mihailović V, Ćupina B, Kosev V, Warkentin T, McPhee K, Ambrose M, Hofer J, Ellis N, 2011b. Genetic background and agronomic value of leaf types in pea (Pisum sativum). Rat povrt / Field Veg Crop Res 48: 275-284.
Moot DJ, McNeil DL, 1995. Yield components, harvest index and plant type in relation to yield differences in field pea genotypes of partial resistance to field epidemics of ascochyta blight of pea. Euphytica 86: 31–40.
http://dx.doi.org/10.1007/BF00035936
Nisar M, Ghafoor A, 2009. Inheritance studies of Pisum sativum F1, F2 and F3 generation based on morphological traits and selection of high yielding powdery mildew resistant lines. Mol Plant Breed 7: 335-340.
Ranjan S, Kumar M, Pandey SS, 2006. Genetic variability in peas (Pisum sativum L.). Legume Res 29: 311-312.
Raudseping M, Puhm M, 1996. Correlation between yield, morphological and biochemical characteristics of the garden pea and its importance for breeding work. Trans Est Acad Agric Soc 1: 18-21.
Sardana S, Mahajan RK, Gautam NK, Ram B, 2007. Genetic variability in pea (Pisum sativum L.). SABRAO J Breed Genet 39: 31-41.
Steel RG, Torrie JH, 1982. Principles and procedures of statistics: a biometrical approach. McGraw-Hill, Tokyo.
Sultana Z, Islam AKMA, Hasan Mitu MK, Mian MAK, 2009. Genetic variability and character association in garden pea (Pisum sativum L. spp. hortense) genotypes. Available in http://aminulgpb.faculty.bsmrau.edu.bd/files/2009/07/Zakia-paper_Genet-Var-BJAR.pdf.
Togay N, Togay Y, Yildirim B, Dogan Y, 2008. Relationships between yield and some yield components in pea (Pisum sativum ssp arvense L.) genotypes by using correlation and path analysis. Afr J Biotechnol 7: 4285-4287.
Williams WA, Demment MW, Jones MB, 1990. A concise table for path analysis statistics. Agron J 82: 1022-1024.
http://dx.doi.org/10.2134/agronj1990.00021962008200050036x
Wright S, 1921. Correlation and causation. J Agric Res 20: 557-585.
Zhelyazkov E, Tsvetanova Y, 2002. Rakovodstvo za uprazhneniya pa genetika. Trakian University, Stara Zagora. [In Bulgarian].
PMid:12017995
© CSIC. Manuscripts published in both the print and online versions of this journal are the property of the Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.
All contents of this electronic edition, except where otherwise noted, are distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. You may read the basic information and the legal text of the licence. The indication of the CC BY 4.0 licence must be expressly stated in this way when necessary.
Self-archiving in repositories, personal webpages or similar, of any version other than the final version of the work produced by the publisher, is not allowed.