Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [<i>Eleusine coracana</i> (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia

Ababa Chimdi; Bulti Tesso; Chemeda Daba; Melkamu Asfawu

doi:doi:10.11648/j.abb.20231103.15

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Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia

Ababa Chimdi, Bulti Tesso, Chemeda Daba, Melkamu Asfawu

Published in Advances in Bioscience and Bioengineering (Volume 11, Issue 3)

Received: 1 August 2023 Accepted: 16 August 2023 Published: 8 September 2023

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Abstract

Finger millet is a major grain crop in Ethiopia, but due to a lack of high-yielding cultivars and a lack of genetic information, production is not at its genetic potential. The purpose of the current study is to ascertain the direct and indirect effects of yield-related traits on grain yield in finger millet genotypes as well as the relationship between yield and yield-related variables. The current study was carried out at the Mechara Agricultural Research Center during the 2021 cropping season. Sixty-four finger millet accessions, including three checks: Ikhulule, Meba, and Kumsa, were examined for 17 characteristics using an 8 × 8 simple lattice design. The findings indicated that, both at the genotypic and phenotypic levels, grain yield had a highly significant positive connection with the number of productive tillers (0.59), thousand grain weight (0.43), biomass yield (0.47), harvest index (0.41), leaf numbers (0.32), ear weight (0.41), and number of ears (0.32). At both the genotypic and phenotypic levels, the biomass yield (0.812) and harvest index (0.803) showed a strong positive direct influence on grain yield. Therefore, to develop a high-yielding finger millet genotype, the traits of number of productive tillers, thousand grain weight, biomass yield, harvest index, leaf numbers, ear weight, and number of ears should be carefully considered in developing an effective selection strategy.

Published in	Advances in Bioscience and Bioengineering (Volume 11, Issue 3)
DOI	10.11648/j.abb.20231103.15
Page(s)	66-71
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), 2023. Published by Science Publishing Group

Keywords

Correlation, Finger Millet, Path Analysis, Traits

References

[1]	Abunu Marefia, Alemu Abate, and Muluken Bantayehu. 2022. Genetic Gain in Yield Potential and Related Traits of Finger Millet in Ethiopia. East African Journal of Sciences, 16 (2): 155–170.
[2]	Bhasker K, Shashibhushan D, Murali Krishna K, and Bhave MHV. 2017. Correlation and path analysis for grain yield and its components in pearl millet. Bulletin of Environment, Pharmacology, and Life Sciences, 6 (1): 104–106.
[3]	Central Statistical Agency (CSA). 2020. Agricultural Sample Survey, Report on Area and Production of Crops; Addis Ababa, Ethiopia [Dataset].
[4]	Chavan BR, Jawale LN, and Shinde AV. 2020. Correlation and path analysis studies in finger millet for yield and yield-contributing traits [Eleusine coracana L. Gaertn]. International Journal of Chemical Studies, 8 (1): 2911–2914.
[5]	Dagnachew Lule. 2015. Assessment of Genetic Diversity, Genotype by Environment Interaction, Blast Disease Resistance, and Marker Development for Finger Millet Germplasm from Ethiopia and Introduced: 1-195.
[6]	Debara Mekonen and Bekele Merkinel. 2021. Pre-scaling up of an improved finger millet variety at Weyira district, under Halaba zone, in Ethiopia. J Agaric Sc Food Technology, 7 (3): 297–301.
[7]	Dewey, D. R., and K. H. Lu. 1959. A correlation and path coefficient analysis of components on crested wheatgrass seed production. Agron, J., 51: 515–6.
[8]	Dinesh Kumar, Vikrant Tyagi, and B. Ramesh. 2014. Path coefficient analysis for yield and its contributing traits in finger millet. International Journal of Advanced Research, 2 (8), 235–240.
[9]	Gohel DS and Chaudhari SB. 2018. Study of correlation and path analysis of finger millet genotypes. Journal of Pharmacognosy and Phytochemistry, 7 (6): 128-1288.
[10]	Hilu, K. W.; de Wet, J. M. J.; Harlan, and J. R. Harlan. 1979. "Archaeology and Botanical Studies of Eleusine coracana ssp. coracana," American Journal of Botany, 66 (3): 330–333.
[11]	IBPGR. 1985. Descriptors for finger millet Rome, Italy: International Board for Plant Genetic Resources. 20: http://www2.bioversityinternational.org/publications/Web_version/417/.
[12]	Indiastat. 2019. Socio-economic statistical data and facts about India: https://www.indiastat.co.
[13]	John, S., and Kumar, P. 2018. Character Association among Vegetative, Pre-yield, and Yield Parameters in Finger Millet (Eleusine coracana L.). Int. J. Pure App. Biosci, 6 (2): 156–161.
[14]	Johnson, H., Robinson, H. F., and Comstock, R. E. 1955. Genotypic and phenotypic correlations in soybean and their implication in selection. Agronomy Journal, 47: 477–483.
[15]	Keerthana K., Chitra S., Subramanian A., and Elangovan M. 2019. Character association and path coefficient analysis in finger millet genotypes under sodic conditions. The Pharma Innovation Journal, 8 (6): 556–559.
[16]	Lenka D. and Mishra B. 1973. Path Coefficient Analysis of Yield in Rice Varieties. Indian Journal of Agricultural Science, 43, 376-379.
[17]	Mahanthesha, M., M. Sujatha, Ashok Kumar Meena, and Pandravada, S. R. 2018. Studies on correlation and path coefficient analysis in finger millet germplasm. Journal of Pharmacognosy and Phytochemistry, 7 (4), 3193–3196.
[18]	Negi, S., Bhatt, A., and Kumar, V. 2017. Character association and path analysis for yield and its related traits in finger millet genotypes. Journal of Applied and Natural Science, 9 (3): 1624–1629.
[19]	Owere L., Tongoona P., Derera J., and Wanyera N. 2015. "Variability and trait relationships among finger millet accessions in Uganda". Uganda Journal of Agricultural Sciences, 16 (2): 161–176.
[20]	Patel, S., Patil, H. E., Ladumor, V. L., and Parekh, V. B. 2020. Genetic Analysis for Yield and Yield Attributes in Finger Millet. 11: 2164–2178.
[21]	Ravindra K., PC Gupta, Sanjay K. S., and Anil K. 2022. Estimation of correlation coefficient and path analysis in hybrids of pearl Estimation of the correlation coefficient and path analysis in hybrids of pearl millet. The Pharma Innovation Journal, 11 (4, 2004): 880–882.
[22]	Samar Pratap Verma, V. N. Pathak, and O. P. Verma. 2019. Interrelationship between Yield and its Contributing Traits in Wheat (Triticum aestivum L.). Int. J. Curr. Microbiol. App. Sci. 8 (02): 3209–3215.
[23]	Saundarya K. and Satish K. 2016. Correlation and Path Coefficient Analysis for Yield and its Yield Attributes in Promising Finger Millet Genotypes. 11 (2): 1079–1082.
[24]	Singh RK and Choudhury BD. 1985. "Biometrical method in quantitative genetic analysis." Kalyani Publishers, Ludhiana and New Delhi, 54–57.
[25]	Sneha R. Sapkal, V. V. Bhavsar, K. K. Barhate, and Sarika N. Kohakade. 2019. Correlation and Path Analysis for Different Characteristics in the Germplasm of Finger Millet. Int. J. Curr. Microbiol. App. Sci., 8 (01), 1020–1027.
[26]	Tekle Yoseph. 2014. Determination of Inter Row Spacing and Seed Rate on Productivity of Finger Millet at Jinka, Southern Ethiopia. International Journal of Research in Agricultural Sciences, 1 (3): 2348-3997.
[27]	Tesfaye Kassahun and Mengistu Solomon. 2017. Phenotypic Characterization of Ethiopian Finger Millet Accessions [Eleusine coracana (L.) Gaertn] for their agronomically important traits. Acta Univ. Sapientiae Agric. Environ. 9 (1): 107–118.
[28]	Ueno O, Kawano Y, Wakayama M, and Takeda T. 2006. Leaf vascular systems in C3 and C4 grasses: a two-dimensional analysis Annals of Botany, 97: 611–621.
[29]	Vidhate NM, Sarode SB, and Gomash Sunil S. 2020. Study of Correlation and Path Analysis in Finger Millet [Eleusine coracana (L.) Gaertn]. Int J Chem Stud, 8 (4), 118–122.

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APA Style

Ababa Chimdi, Bulti Tesso, Chemeda Daba, Melkamu Asfawu. (2023). Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia. Advances in Bioscience and Bioengineering, 11(3), 66-71. https://doi.org/10.11648/j.abb.20231103.15

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ACS Style

Ababa Chimdi; Bulti Tesso; Chemeda Daba; Melkamu Asfawu. Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia. Adv. BioSci. Bioeng. 2023, 11(3), 66-71. doi: 10.11648/j.abb.20231103.15

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AMA Style

Ababa Chimdi, Bulti Tesso, Chemeda Daba, Melkamu Asfawu. Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia. Adv BioSci Bioeng. 2023;11(3):66-71. doi: 10.11648/j.abb.20231103.15

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@article{10.11648/j.abb.20231103.15,
  author = {Ababa Chimdi and Bulti Tesso and Chemeda Daba and Melkamu Asfawu},
  title = {Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia},
  journal = {Advances in Bioscience and Bioengineering},
  volume = {11},
  number = {3},
  pages = {66-71},
  doi = {10.11648/j.abb.20231103.15},
  url = {https://doi.org/10.11648/j.abb.20231103.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20231103.15},
  abstract = {Finger millet is a major grain crop in Ethiopia, but due to a lack of high-yielding cultivars and a lack of genetic information, production is not at its genetic potential. The purpose of the current study is to ascertain the direct and indirect effects of yield-related traits on grain yield in finger millet genotypes as well as the relationship between yield and yield-related variables. The current study was carried out at the Mechara Agricultural Research Center during the 2021 cropping season. Sixty-four finger millet accessions, including three checks: Ikhulule, Meba, and Kumsa, were examined for 17 characteristics using an 8 × 8 simple lattice design. The findings indicated that, both at the genotypic and phenotypic levels, grain yield had a highly significant positive connection with the number of productive tillers (0.59), thousand grain weight (0.43), biomass yield (0.47), harvest index (0.41), leaf numbers (0.32), ear weight (0.41), and number of ears (0.32). At both the genotypic and phenotypic levels, the biomass yield (0.812) and harvest index (0.803) showed a strong positive direct influence on grain yield. Therefore, to develop a high-yielding finger millet genotype, the traits of number of productive tillers, thousand grain weight, biomass yield, harvest index, leaf numbers, ear weight, and number of ears should be carefully considered in developing an effective selection strategy.},
 year = {2023}
}

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TY  - JOUR
T1  - Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia
AU  - Ababa Chimdi
AU  - Bulti Tesso
AU  - Chemeda Daba
AU  - Melkamu Asfawu
Y1  - 2023/09/08
PY  - 2023
N1  - https://doi.org/10.11648/j.abb.20231103.15
DO  - 10.11648/j.abb.20231103.15
T2  - Advances in Bioscience and Bioengineering
JF  - Advances in Bioscience and Bioengineering
JO  - Advances in Bioscience and Bioengineering
SP  - 66
EP  - 71
PB  - Science Publishing Group
SN  - 2330-4162
UR  - https://doi.org/10.11648/j.abb.20231103.15
AB  - Finger millet is a major grain crop in Ethiopia, but due to a lack of high-yielding cultivars and a lack of genetic information, production is not at its genetic potential. The purpose of the current study is to ascertain the direct and indirect effects of yield-related traits on grain yield in finger millet genotypes as well as the relationship between yield and yield-related variables. The current study was carried out at the Mechara Agricultural Research Center during the 2021 cropping season. Sixty-four finger millet accessions, including three checks: Ikhulule, Meba, and Kumsa, were examined for 17 characteristics using an 8 × 8 simple lattice design. The findings indicated that, both at the genotypic and phenotypic levels, grain yield had a highly significant positive connection with the number of productive tillers (0.59), thousand grain weight (0.43), biomass yield (0.47), harvest index (0.41), leaf numbers (0.32), ear weight (0.41), and number of ears (0.32). At both the genotypic and phenotypic levels, the biomass yield (0.812) and harvest index (0.803) showed a strong positive direct influence on grain yield. Therefore, to develop a high-yielding finger millet genotype, the traits of number of productive tillers, thousand grain weight, biomass yield, harvest index, leaf numbers, ear weight, and number of ears should be carefully considered in developing an effective selection strategy.
VL  - 11
IS  - 3
ER  -

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Author Information

Ababa Chimdi

Mechara Agricultural Research Center, Mechara, Ethiopia
Bulti Tesso

Schools of Plant Science, Haramaya University, Haramaya, Ethiopia
Chemeda Daba

Oromia Agricultural Research Institute, Addis Ababa, Ethiopia
Melkamu Asfawu

Mechara Agricultural Research Center, Mechara, Ethiopia

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APA Style

Ababa Chimdi, Bulti Tesso, Chemeda Daba, Melkamu Asfawu. (2023). Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia. Advances in Bioscience and Bioengineering, 11(3), 66-71. https://doi.org/10.11648/j.abb.20231103.15

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ACS Style

Ababa Chimdi; Bulti Tesso; Chemeda Daba; Melkamu Asfawu. Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia. Adv. BioSci. Bioeng. 2023, 11(3), 66-71. doi: 10.11648/j.abb.20231103.15

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AMA Style

Ababa Chimdi, Bulti Tesso, Chemeda Daba, Melkamu Asfawu. Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia. Adv BioSci Bioeng. 2023;11(3):66-71. doi: 10.11648/j.abb.20231103.15

Copy | Download

@article{10.11648/j.abb.20231103.15,
  author = {Ababa Chimdi and Bulti Tesso and Chemeda Daba and Melkamu Asfawu},
  title = {Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia},
  journal = {Advances in Bioscience and Bioengineering},
  volume = {11},
  number = {3},
  pages = {66-71},
  doi = {10.11648/j.abb.20231103.15},
  url = {https://doi.org/10.11648/j.abb.20231103.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20231103.15},
  abstract = {Finger millet is a major grain crop in Ethiopia, but due to a lack of high-yielding cultivars and a lack of genetic information, production is not at its genetic potential. The purpose of the current study is to ascertain the direct and indirect effects of yield-related traits on grain yield in finger millet genotypes as well as the relationship between yield and yield-related variables. The current study was carried out at the Mechara Agricultural Research Center during the 2021 cropping season. Sixty-four finger millet accessions, including three checks: Ikhulule, Meba, and Kumsa, were examined for 17 characteristics using an 8 × 8 simple lattice design. The findings indicated that, both at the genotypic and phenotypic levels, grain yield had a highly significant positive connection with the number of productive tillers (0.59), thousand grain weight (0.43), biomass yield (0.47), harvest index (0.41), leaf numbers (0.32), ear weight (0.41), and number of ears (0.32). At both the genotypic and phenotypic levels, the biomass yield (0.812) and harvest index (0.803) showed a strong positive direct influence on grain yield. Therefore, to develop a high-yielding finger millet genotype, the traits of number of productive tillers, thousand grain weight, biomass yield, harvest index, leaf numbers, ear weight, and number of ears should be carefully considered in developing an effective selection strategy.},
 year = {2023}
}

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TY  - JOUR
T1  - Relationships and Path Coefficient Analysis of Yield and Yield-Related Traits of Finger Millet [Eleusine coracana (L.) Gaertn.] Genotypes at Mechara, Eastern Ethiopia
AU  - Ababa Chimdi
AU  - Bulti Tesso
AU  - Chemeda Daba
AU  - Melkamu Asfawu
Y1  - 2023/09/08
PY  - 2023
N1  - https://doi.org/10.11648/j.abb.20231103.15
DO  - 10.11648/j.abb.20231103.15
T2  - Advances in Bioscience and Bioengineering
JF  - Advances in Bioscience and Bioengineering
JO  - Advances in Bioscience and Bioengineering
SP  - 66
EP  - 71
PB  - Science Publishing Group
SN  - 2330-4162
UR  - https://doi.org/10.11648/j.abb.20231103.15
AB  - Finger millet is a major grain crop in Ethiopia, but due to a lack of high-yielding cultivars and a lack of genetic information, production is not at its genetic potential. The purpose of the current study is to ascertain the direct and indirect effects of yield-related traits on grain yield in finger millet genotypes as well as the relationship between yield and yield-related variables. The current study was carried out at the Mechara Agricultural Research Center during the 2021 cropping season. Sixty-four finger millet accessions, including three checks: Ikhulule, Meba, and Kumsa, were examined for 17 characteristics using an 8 × 8 simple lattice design. The findings indicated that, both at the genotypic and phenotypic levels, grain yield had a highly significant positive connection with the number of productive tillers (0.59), thousand grain weight (0.43), biomass yield (0.47), harvest index (0.41), leaf numbers (0.32), ear weight (0.41), and number of ears (0.32). At both the genotypic and phenotypic levels, the biomass yield (0.812) and harvest index (0.803) showed a strong positive direct influence on grain yield. Therefore, to develop a high-yielding finger millet genotype, the traits of number of productive tillers, thousand grain weight, biomass yield, harvest index, leaf numbers, ear weight, and number of ears should be carefully considered in developing an effective selection strategy.
VL  - 11
IS  - 3
ER  -

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