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Interrelationship and Path Coefficient Analysis of Some Growth and Yield Characteristics in Cowpea (Vigna Unguiculata L. Walp) Genotypes

Received: 12 April 2014     Accepted: 8 May 2014     Published: 20 May 2014
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Abstract

Field experiments were conducted during 2010/2011 to determine the interrelationship and path coefficient analysis of growth characters to seed yield. The experiment was laid out in 7 x 7 triple lattice designs at Haramaya University research farm, Dire Dawa. Seed yield exhibited positive and significant environmental correlation with number of primary branches per plant, number of secondary branches per plant, days to 50% flowering, number of pods per plant, number of seeds per pod and plant height. Path analysis revealed that, yield per plant exerted the maximum positive direct effect on seed yield followed by number of pods per plant, while number of secondary branches per plant, days to flowering, days to maturity and number of seed per pod exhibited negative direct effect phenotypically. In addition, genotypic path analysis revealed that, maximum direct effect on seed yield was exerted by number of pods per plant and yield per plant. However, days to 50% flowering, days to maturity, number of secondary branches per plant and number of seed per pod exerted negative direct effect on seed yield. Thus, yield per plant and number of pods per plant could be used as a selection index for cowpea improvement.

Published in Journal of Plant Sciences (Volume 2, Issue 2)
DOI 10.11648/j.jps.20140202.13
Page(s) 97-101
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Correlation, Cowpea, Interrelationship, Path Analysis

References
[1] Pasquet RS. 2001. Allozyme diversity of cultivated cowpea (Vigna unguiculata L. Walp). Theoretical Applied and Genetics 101: 211–219.
[2] Mebeaselassie A, Pasquet RS, Gowda BS, Muluvi GM, Timko MP. 2011. Construction of a SSR-based genetic map and identification of QTL for domestication traits using recombinant inbred lines from a cross between wild and cultivated cowpea (Vigna unguiculata L. Walp.). Molecular Breeding. 28: 413-420.
[3] Arthur MA. 2009. Moisture-dependent physical properties of Cowpea. Unpublished B.Sc. Thesis, Department of Agricultural and Environmental Engineering, Niger Delta University, Bayelsa State. 64pp.
[4] Fana SB, Pasquet RS, Gepts P. 2004. Genetic diversity in cowpea (Vigna unguiculata L. Walp) as revealed by RAPD markers. Genetic Resources and Crop Evolution 51: 539-550.
[5] Singh BB, Mohan RDR, Dashie LK, Jackai LEN. 1997. Origin, taxonomy and morphology of (Vigna unguiculata L. Walp). Co-publication of International Institute of Tropical Agriculture (IITA) and Japan International Research Center for Agricultural Sciences (JIRCAS) IITA., Ibadan, Nigeria, pp. 1-12.
[6] Langyintuo AS, Lowenberg D, Faye J, Lambert M, Ibro D, Moussa G, Kergna B, Kushwaha A, Musa S, Ntoukam G. 2003. Cowpea supply and demand in West and Central Africa. Field Crops Research 82: 215-231.
[7] Mukhtar FB, Singh BB. 2006. Influence of photoperiod and Gibberellic acid (GA3) on the growth and flowering of Cowpea (Vigna unguiculata L. Walp). Journal of food, Agriculture and Environment 4(2): 201-203.
[8] Singh AK, Singh M, Singh R, Kumar S, Kalloo G. 2005. Genetic diversity within the genus Solanum (Solanaceae) as Revealed by RAPD markers. Current Science 90: 711-714.
[9] Bizeti HS, deCarvalho CGP, deSouza JRP, Destro D. 2004. Path Analysis under Multicollinearity in Soybean. Agronomy Journal 47(5): 669-676.
[10] Chaudhary RR, Joshi BK. 2005. Correlation and Path Coefficient Analyses in Sugarcane. Nepal Agriculture Research Journal 6: 24-28.
[11] Uguru MI. 1996. Correlation and Path-Coefficient analysis of major yield components in vegetable Cowpea [Vigna unguiculata (L.) Walp.]. Proc. 14th HORTSON Conference, Ago-Iwoye, 1-4 April, 1996.
[12] Nakawuka CK, Adipala E. 1999. A Path coefficient analysis of some yield component interactions in cowpea. African Crop Science Journal 7: 327-331.
[13] Yahaya SU, Auwalu BM, Gani AM. 2005. Interrelationship, path coefficient analysis and percentage contributions of yield component of vegetable cowpea (Vigna unguiculata (L.) Walp) varieties to total green pod yield. Advances in Horticultural Sciences 19(3): 144 – 146.
[14] Malik MFA, Ashraf M, Qureshi AS, Ghafoor A. 2007. Assessment of genetic variability, correlation and path analyses for yield and its components in soybean. Pakistan Journal of Botany 39(2): 405-413.
[15] Vange T, Egbe MO. 2009. Studies on Genetic Characteristics of Pigeon Pea Germplasm at Otobi, Benue State of Nigeria. World Journal of Agricultural Sciences 5(6): 714-719.
[16] Tran Thi NHTQK, Tan PS, Hiraoka H. 1999. Path-coefficient analysis of direct-seeded rice yield and yield components as affected by seeding rates. Japan International Research Center for Agricultural Sciences, Tsukuba, Ibaraki, Japan. pp. 104-110.
[17] Saif-ur-Rasheed M, Sadaqat HA, Babar M. 2002. Inter-relationship among grain quality traits in rice (Oryza sativa L.). Asian Journal of Plant Sciences 1(3): 245-247.
[18] Makanda I, Tongoona P, Madamba R, Icishahayo D, Derera J. 2009. Path analysis of bambara groundnut pod yield components at four planting dates. Research Journal of Agriculture and Biological Science 5(3): 287-292.
[19] Oyiga BC, Uguru MI. 2011. Genetic Variation and Contributions of Some Floral Traits to Pod Yield in Bambara Groundnut (Vigna subterranea L. Verdc) under Two Cropping Seasons in the Derived Savanna of the South-East Nigeria. Inter. Journal of Plant Breeding 5(1): 58-63.
[20] Tamedo T, Schutz W, Milberg D. 2002. Germination Ecology of the weed Parthenium hysterophorus in Eastern Ethiopia. Annual Applied Biology, 140: 263-270.
[21] Adey N. 2006. Water use and yield response drop irrigated tomato to soil depletion and mulching. An Msc. Thesis presented to school of Graduated studies of Haramya University.
[22] Lal GS, Bhaderiya VS, Singh AK. 1997. Genetic association and path analysis in elite lines of sunflower. Crop Research Hisar 13: 631-634.
[23] Leleji OI. 1981. The extent of hybrid vigour for yield and yield components in cowpea (Vigna unguiculata (L.) Walp) in the Savana region of Nigeria. Nigerian Journal of Agricultural Science 3(2): 141-148.
[24] Padi FK. 2003. Correlation and path analysis of yield and yield components in pigeon pea. Pakistan Journal of Biological Sciences 6(19): 1689-1694.
[25] Manggoel W, Uguru MI, Ndam ON, Dasbak MA. 2012. Genetic variability, correlation and path coefficient analysis of some yield components of ten cowpea [Vigna unguiculata (L.) Walp] accessions. Journal of Plant Breeding and Crop Science 4(5): 80-86.
[26] Fikru M. 2004. Genetic variability and inter- relationship of agronomic traits affecting seed yield in desi type Chickpea (Cicer arietinum L.). An M.Sc thesis submitted to the School of Graduate Studies, Addis Ababa University.
[27] Kumar L, Arora PP. 1991. Basis of selection in chickpea. Int. Chickpea Newsletter 24: 14-15.
[28] Dewey DR, Lu KH. 1959. A correlation and path-coefficient analysis of components of crested wheat grass seed production. Agronomy Journal 51: 515-518.
[29] Kaveris B, Salimath PM, Ravikumar RL. 2007. Genetic Studies in Greengram and association analysis. Karnataka Journal of Agricultural Science 20(4): 843-844.
[30] Singh KB, Geletu B, and Malhotra RS. 1990. Association of some traits with seed yield in chickpea collections. Euphytica 49: 83-88.
[31] Kutty CN, Mili R, Jaikumaran V. 2003, Correlation and path analysis in vegetable cowpea. Indian Journal of Horticulture 60: 257-261.
[32] Jatasra DS, Ram C, Chandra S, Singh A. 1978. Correlation and path analysis in segregating population of chickpea (Cicer arietinum L.). Indian Journal of Agricultural Research 12(4): 219-222.
Cite This Article
  • APA Style

    Diriba Shanko, Mebeasellasie Andargie, Habtamu Zelleke. (2014). Interrelationship and Path Coefficient Analysis of Some Growth and Yield Characteristics in Cowpea (Vigna Unguiculata L. Walp) Genotypes. Journal of Plant Sciences, 2(2), 97-101. https://doi.org/10.11648/j.jps.20140202.13

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    ACS Style

    Diriba Shanko; Mebeasellasie Andargie; Habtamu Zelleke. Interrelationship and Path Coefficient Analysis of Some Growth and Yield Characteristics in Cowpea (Vigna Unguiculata L. Walp) Genotypes. J. Plant Sci. 2014, 2(2), 97-101. doi: 10.11648/j.jps.20140202.13

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    AMA Style

    Diriba Shanko, Mebeasellasie Andargie, Habtamu Zelleke. Interrelationship and Path Coefficient Analysis of Some Growth and Yield Characteristics in Cowpea (Vigna Unguiculata L. Walp) Genotypes. J Plant Sci. 2014;2(2):97-101. doi: 10.11648/j.jps.20140202.13

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  • @article{10.11648/j.jps.20140202.13,
      author = {Diriba Shanko and Mebeasellasie Andargie and Habtamu Zelleke},
      title = {Interrelationship and Path Coefficient Analysis of Some Growth and Yield Characteristics in Cowpea (Vigna Unguiculata L. Walp) Genotypes},
      journal = {Journal of Plant Sciences},
      volume = {2},
      number = {2},
      pages = {97-101},
      doi = {10.11648/j.jps.20140202.13},
      url = {https://doi.org/10.11648/j.jps.20140202.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20140202.13},
      abstract = {Field experiments were conducted during 2010/2011 to determine the interrelationship and path coefficient analysis of growth characters to seed yield. The experiment was laid out in 7 x 7 triple lattice designs at Haramaya University research farm, Dire Dawa. Seed yield exhibited positive and significant environmental correlation with number of primary branches per plant, number of secondary branches per plant, days to 50% flowering, number of pods per plant, number of seeds per pod and plant height. Path analysis revealed that, yield per plant exerted the maximum positive direct effect on seed yield followed by number of pods per plant, while number of secondary branches per plant, days to flowering, days to maturity  and number of seed per pod exhibited negative direct effect phenotypically. In addition, genotypic path analysis revealed that, maximum direct effect on seed yield was exerted by number of pods per plant and yield per plant. However, days to 50% flowering, days to maturity, number of secondary branches per plant and number of seed per pod exerted negative direct effect on seed yield. Thus, yield per plant and number of pods per plant could be used as a selection index for cowpea improvement.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Interrelationship and Path Coefficient Analysis of Some Growth and Yield Characteristics in Cowpea (Vigna Unguiculata L. Walp) Genotypes
    AU  - Diriba Shanko
    AU  - Mebeasellasie Andargie
    AU  - Habtamu Zelleke
    Y1  - 2014/05/20
    PY  - 2014
    N1  - https://doi.org/10.11648/j.jps.20140202.13
    DO  - 10.11648/j.jps.20140202.13
    T2  - Journal of Plant Sciences
    JF  - Journal of Plant Sciences
    JO  - Journal of Plant Sciences
    SP  - 97
    EP  - 101
    PB  - Science Publishing Group
    SN  - 2331-0731
    UR  - https://doi.org/10.11648/j.jps.20140202.13
    AB  - Field experiments were conducted during 2010/2011 to determine the interrelationship and path coefficient analysis of growth characters to seed yield. The experiment was laid out in 7 x 7 triple lattice designs at Haramaya University research farm, Dire Dawa. Seed yield exhibited positive and significant environmental correlation with number of primary branches per plant, number of secondary branches per plant, days to 50% flowering, number of pods per plant, number of seeds per pod and plant height. Path analysis revealed that, yield per plant exerted the maximum positive direct effect on seed yield followed by number of pods per plant, while number of secondary branches per plant, days to flowering, days to maturity  and number of seed per pod exhibited negative direct effect phenotypically. In addition, genotypic path analysis revealed that, maximum direct effect on seed yield was exerted by number of pods per plant and yield per plant. However, days to 50% flowering, days to maturity, number of secondary branches per plant and number of seed per pod exerted negative direct effect on seed yield. Thus, yield per plant and number of pods per plant could be used as a selection index for cowpea improvement.
    VL  - 2
    IS  - 2
    ER  - 

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Author Information
  • Department of Biology, Bule Hora University, Bule Hora, Ethiopia

  • Biology Department, Haramaya University (HU), P.O. Box: 138, Dire Dawa, Ethiopia

  • Plant Sciences Department, College of Agriculture and Environmental Sciences, Haramaya University (HU), Dire Dawa, Ethiopia

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