Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (<i>Pisum sativum</i> L.) Genotypes at Arsi Highland of Ethiopia

Temesgen Abo Ertiro

doi:doi:10.11648/j.ijgg.20210904.11

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Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia

Temesgen Abo Ertiro

Published in International Journal of Genetics and Genomics (Volume 9, Issue 4)

Received: 9 August 2021 Accepted: 29 September 2021 Published: 28 October 2021

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Abstract

In Ethiopia, field pea (Pisum sativum L.) is the main source of protein for resource poor growers. The improvement of varieties for yield and disease resistance is one of the important activities to support farmers and improve the productivity of the crop. Consequently, this study was showed to evaluate the genotypic correlations, phenotypic correlations and path coefficient analysis between the field pea genotypes for yield and yield associated traits. Forty-nine field pea genotypes were evaluated in simple lattice design at two locations Bekoji and Asasa in 2018/2019 cropping time of year. Grain yield per plot had positive and highly significant genotypic association through plant height whereas highly significant phenotypic correlation observed between grain yield and plant height and biomass yield. At Bekoji genotypic path analysis, days to 50% flowering, plant height, grain filling period, thousand seed weight, harvest index and total biomass showed strong positive direct effect on grain yield per plot. At Asasa the path analysis for grain yield at genotypic level showed that harvest index, thousand seed weight, plant height, days to 50% flowering and days to 95% physiological maturity and total biomass yield exerted positive direct effect on grain yield per plot. Path coefficient analysis at genotypic levels of the combined data exhibited that days to 50% flowering and total biomass per plot had strong positive direct effect on grain yield per plot. The phenotypic path analysis of the combined data revealed total biomass yield, thousand seed weight, plant height and days to maturity has strong positive direct effect on grain yield per plot. The study showed the existence of reasonable genetic variability between the field pea genotypes that can be exploited in breeding programs.

Published in	International Journal of Genetics and Genomics (Volume 9, Issue 4)
DOI	10.11648/j.ijgg.20210904.11
Page(s)	61-66
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), 2021. Published by Science Publishing Group

Keywords

Correlation Analysis, Path Analyses, Direct Effect, Pisum sativum L.

References

[1]	Asfakun, S., Aminul, A. K. M., M. Golam, R., M., Abdul, K. M. and Jalal, U. A. (2013). Genetic variability in advanced generations of vegetable pea (Pisum sativum L.). International Journal of Plant Breeding 7 (2), 124-128.
[2]	Asfaw Telaye, Beyene Demtsu and Tesfaye Getachew. (1994). Genetics and breeding of field pea. In cool-season Food Legumes of Ethiopia, Asfaw, T. (Ed). ICARDA. Alepo, Syria, PP: 122-137.
[3]	Barkat Ali, Raziuddin, Izhar Ullah, Farhatullah, Sajid Khan, Syed Tanveer, Shah, Muhammad Ali, Muhammad Ayoub Khan and Fayaz Khan. (2019). Assessment of genetic variability, genetic advance and correlation coefficient in quantitative traits of field pea (Pisum sativum L.) genotypes. BIOSCIENCE RESEARCH, 2019 16 (4): 3769-3780.
[4]	Benti O. and Yohannis P. (2017). “Genetic Variability and Association AmongAgronomic Characters in Selected Field Pea (Pisum sativum L.) Genotypes at Bale Zone, Sinana Research Center, Oromia Region, Ethiopia.” International Journal of Genetics and Genomics, 5 (6): 63–75.
[5]	CSA, (2020). Agricultural sample survey. Report on area and production of major crops, Volume I. Addis Ababa, Pp. 10.
[6]	Davies D. R. (1976). Peas. In: Simmonds N. W. (ed.), Evolution of crop plants Longman, London, pp. 172–174.
[7]	Dawit Tadasse, Asfaw Telaye and Geletu Bejiga (1994). Genetic resource in Ethiopia, In: Asfaw Tlaye, Geletu Bejiga, Saxena, M. C. and Solh, M. B. (eds), Cool Season Food Legume of Ethiopia. Proceeding of the first national cool season legume review conference, 16-20 December 1993, Addis Ababa Ethiopia, ICARDA, Syria, pp. 79-96.
[8]	Dewey, D. R. and Lu, K. H. 1959. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal, 52: 515-518. Disease, parasitic nematodes and weeds in cool-season food legumes. Springer, India. Pp. 147-161.
[9]	Duke, J. A (1981). Hand Book of Legumes of World Economic Importance. Plenums press New York. pp. 199-265.
[10]	Gemechu K. and Seid A (2016). Genetic options for combating biotic stresses in cool-season food legumes, Indian J. Genet., 76 (4): 437-450 (2016) DOI: 10.5958/0975-6906.2016.00062.
[11]	Gemechu Keneni. 2012. Genetic potential and limitations of Ethiopian chickpea (Cicer arietinum L.) germplasm for improving attributes of symbiotic nitrogen fixation, phosphorus uptake and use efficiency, and adzuki bean beetle (Callosobruchus chinensis L.) resistance. PhD Thesis, Addis Ababa University. Addis Ababa, Ethiopia. pp 292.
[12]	Haddis Yirga and Dargie Tsegay. (2013). Characterization of dekoko (Pisum sativum var. abyssinicum) accessions by qualitative traits in the highlands of Southern Tigray, Ethiopia. African Journal of Plant Science, 7 (10): pp. 482–487.
[13]	McPhee, K. (2003). Dry pea production and breeding, a mini-review. Food Agricultural Environment (1): 64-69.
[14]	Mussa Jarso, Dereje G, Gemechu Keneni (2009). Procedures of Field Pea Improvement through Hybridization. Technical Manual No. 22, Ethiopian Institute of Agricultural Research. p 12.
[15]	Santalla, M., Amurrio, J. M. and de Ron, A. M. (2001). Food and Food potential breeding value of green, dry and vegetal pea germplasm. Canadian Journal of Plant Science, 81: 601-610.
[16]	Srivastava, Saurabh, Roopa Lavanya, and G. M. Lal. (2017). “Genetic Variability and Character Association for Seed Yield in Chickpea (Cicer Arietinum L.).” Journal of Pharmacognosy and Phytochemistry, 6 (4): 748–50.
[17]	Temesgen A., Wassu M. and Tesfahun A. (2021). Genetic Variability and Heritability for Various Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes in Southern Highlands of Ethiopia. Agricultural and Biological Sciences Journal Vol. 7, No. 3, 2021, pp. 64-71.
[18]	Thakur, Monika Chauhan and Abhimanyu Thakur Department of Food Science and Technology, Dr YS Parmar University of Horticulture and Forestry, Nauni, Solan – 173230, Himachal Pradesh, India.
[19]	Wright, S. 1921. Correlation and causation.. Agric. Res., 20: 257-87.

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APA Style

Temesgen Abo Ertiro. (2021). Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia. International Journal of Genetics and Genomics, 9(4), 61-66. https://doi.org/10.11648/j.ijgg.20210904.11

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ACS Style

Temesgen Abo Ertiro. Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia. Int. J. Genet. Genomics 2021, 9(4), 61-66. doi: 10.11648/j.ijgg.20210904.11

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AMA Style

Temesgen Abo Ertiro. Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia. Int J Genet Genomics. 2021;9(4):61-66. doi: 10.11648/j.ijgg.20210904.11

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@article{10.11648/j.ijgg.20210904.11,
  author = {Temesgen Abo Ertiro},
  title = {Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia},
  journal = {International Journal of Genetics and Genomics},
  volume = {9},
  number = {4},
  pages = {61-66},
  doi = {10.11648/j.ijgg.20210904.11},
  url = {https://doi.org/10.11648/j.ijgg.20210904.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20210904.11},
  abstract = {In Ethiopia, field pea (Pisum sativum L.) is the main source of protein for resource poor growers. The improvement of varieties for yield and disease resistance is one of the important activities to support farmers and improve the productivity of the crop. Consequently, this study was showed to evaluate the genotypic correlations, phenotypic correlations and path coefficient analysis between the field pea genotypes for yield and yield associated traits. Forty-nine field pea genotypes were evaluated in simple lattice design at two locations Bekoji and Asasa in 2018/2019 cropping time of year. Grain yield per plot had positive and highly significant genotypic association through plant height whereas highly significant phenotypic correlation observed between grain yield and plant height and biomass yield. At Bekoji genotypic path analysis, days to 50% flowering, plant height, grain filling period, thousand seed weight, harvest index and total biomass showed strong positive direct effect on grain yield per plot. At Asasa the path analysis for grain yield at genotypic level showed that harvest index, thousand seed weight, plant height, days to 50% flowering and days to 95% physiological maturity and total biomass yield exerted positive direct effect on grain yield per plot. Path coefficient analysis at genotypic levels of the combined data exhibited that days to 50% flowering and total biomass per plot had strong positive direct effect on grain yield per plot. The phenotypic path analysis of the combined data revealed total biomass yield, thousand seed weight, plant height and days to maturity has strong positive direct effect on grain yield per plot. The study showed the existence of reasonable genetic variability between the field pea genotypes that can be exploited in breeding programs.},
 year = {2021}
}

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TY  - JOUR
T1  - Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia
AU  - Temesgen Abo Ertiro
Y1  - 2021/10/28
PY  - 2021
N1  - https://doi.org/10.11648/j.ijgg.20210904.11
DO  - 10.11648/j.ijgg.20210904.11
T2  - International Journal of Genetics and Genomics
JF  - International Journal of Genetics and Genomics
JO  - International Journal of Genetics and Genomics
SP  - 61
EP  - 66
PB  - Science Publishing Group
SN  - 2376-7359
UR  - https://doi.org/10.11648/j.ijgg.20210904.11
AB  - In Ethiopia, field pea (Pisum sativum L.) is the main source of protein for resource poor growers. The improvement of varieties for yield and disease resistance is one of the important activities to support farmers and improve the productivity of the crop. Consequently, this study was showed to evaluate the genotypic correlations, phenotypic correlations and path coefficient analysis between the field pea genotypes for yield and yield associated traits. Forty-nine field pea genotypes were evaluated in simple lattice design at two locations Bekoji and Asasa in 2018/2019 cropping time of year. Grain yield per plot had positive and highly significant genotypic association through plant height whereas highly significant phenotypic correlation observed between grain yield and plant height and biomass yield. At Bekoji genotypic path analysis, days to 50% flowering, plant height, grain filling period, thousand seed weight, harvest index and total biomass showed strong positive direct effect on grain yield per plot. At Asasa the path analysis for grain yield at genotypic level showed that harvest index, thousand seed weight, plant height, days to 50% flowering and days to 95% physiological maturity and total biomass yield exerted positive direct effect on grain yield per plot. Path coefficient analysis at genotypic levels of the combined data exhibited that days to 50% flowering and total biomass per plot had strong positive direct effect on grain yield per plot. The phenotypic path analysis of the combined data revealed total biomass yield, thousand seed weight, plant height and days to maturity has strong positive direct effect on grain yield per plot. The study showed the existence of reasonable genetic variability between the field pea genotypes that can be exploited in breeding programs.
VL  - 9
IS  - 4
ER  -

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Temesgen Abo Ertiro

Institute of Agricultural Research (EIAR), Kulumsa Agricultural Research Center, Assela, Ethiopia

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Temesgen Abo Ertiro. (2021). Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia. International Journal of Genetics and Genomics, 9(4), 61-66. https://doi.org/10.11648/j.ijgg.20210904.11

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ACS Style

Temesgen Abo Ertiro. Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia. Int. J. Genet. Genomics 2021, 9(4), 61-66. doi: 10.11648/j.ijgg.20210904.11

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AMA Style

Temesgen Abo Ertiro. Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia. Int J Genet Genomics. 2021;9(4):61-66. doi: 10.11648/j.ijgg.20210904.11

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@article{10.11648/j.ijgg.20210904.11,
  author = {Temesgen Abo Ertiro},
  title = {Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia},
  journal = {International Journal of Genetics and Genomics},
  volume = {9},
  number = {4},
  pages = {61-66},
  doi = {10.11648/j.ijgg.20210904.11},
  url = {https://doi.org/10.11648/j.ijgg.20210904.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20210904.11},
  abstract = {In Ethiopia, field pea (Pisum sativum L.) is the main source of protein for resource poor growers. The improvement of varieties for yield and disease resistance is one of the important activities to support farmers and improve the productivity of the crop. Consequently, this study was showed to evaluate the genotypic correlations, phenotypic correlations and path coefficient analysis between the field pea genotypes for yield and yield associated traits. Forty-nine field pea genotypes were evaluated in simple lattice design at two locations Bekoji and Asasa in 2018/2019 cropping time of year. Grain yield per plot had positive and highly significant genotypic association through plant height whereas highly significant phenotypic correlation observed between grain yield and plant height and biomass yield. At Bekoji genotypic path analysis, days to 50% flowering, plant height, grain filling period, thousand seed weight, harvest index and total biomass showed strong positive direct effect on grain yield per plot. At Asasa the path analysis for grain yield at genotypic level showed that harvest index, thousand seed weight, plant height, days to 50% flowering and days to 95% physiological maturity and total biomass yield exerted positive direct effect on grain yield per plot. Path coefficient analysis at genotypic levels of the combined data exhibited that days to 50% flowering and total biomass per plot had strong positive direct effect on grain yield per plot. The phenotypic path analysis of the combined data revealed total biomass yield, thousand seed weight, plant height and days to maturity has strong positive direct effect on grain yield per plot. The study showed the existence of reasonable genetic variability between the field pea genotypes that can be exploited in breeding programs.},
 year = {2021}
}

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TY  - JOUR
T1  - Genotypic and Phenotypic Correlation and Path Coefficient for Quantitative Traits in Field Pea (Pisum sativum L.) Genotypes at Arsi Highland of Ethiopia
AU  - Temesgen Abo Ertiro
Y1  - 2021/10/28
PY  - 2021
N1  - https://doi.org/10.11648/j.ijgg.20210904.11
DO  - 10.11648/j.ijgg.20210904.11
T2  - International Journal of Genetics and Genomics
JF  - International Journal of Genetics and Genomics
JO  - International Journal of Genetics and Genomics
SP  - 61
EP  - 66
PB  - Science Publishing Group
SN  - 2376-7359
UR  - https://doi.org/10.11648/j.ijgg.20210904.11
AB  - In Ethiopia, field pea (Pisum sativum L.) is the main source of protein for resource poor growers. The improvement of varieties for yield and disease resistance is one of the important activities to support farmers and improve the productivity of the crop. Consequently, this study was showed to evaluate the genotypic correlations, phenotypic correlations and path coefficient analysis between the field pea genotypes for yield and yield associated traits. Forty-nine field pea genotypes were evaluated in simple lattice design at two locations Bekoji and Asasa in 2018/2019 cropping time of year. Grain yield per plot had positive and highly significant genotypic association through plant height whereas highly significant phenotypic correlation observed between grain yield and plant height and biomass yield. At Bekoji genotypic path analysis, days to 50% flowering, plant height, grain filling period, thousand seed weight, harvest index and total biomass showed strong positive direct effect on grain yield per plot. At Asasa the path analysis for grain yield at genotypic level showed that harvest index, thousand seed weight, plant height, days to 50% flowering and days to 95% physiological maturity and total biomass yield exerted positive direct effect on grain yield per plot. Path coefficient analysis at genotypic levels of the combined data exhibited that days to 50% flowering and total biomass per plot had strong positive direct effect on grain yield per plot. The phenotypic path analysis of the combined data revealed total biomass yield, thousand seed weight, plant height and days to maturity has strong positive direct effect on grain yield per plot. The study showed the existence of reasonable genetic variability between the field pea genotypes that can be exploited in breeding programs.
VL  - 9
IS  - 4
ER  -

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