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Plant Science Today (PST)

Research Articles

Early Access

Response of growth and yield of several sorghum varieties to plant density

DOI
https://doi.org/10.14719/pst.6915
Submitted
26 December 2024
Published
25-07-2025
Versions

Abstract

The research was conducted in a farmer's field in Ramadi city, Anbar Governorate, during the spring and fall seasons of 2024 using a Randomized Complete Block Design (RCBD) with four replications and a split-plot arrangement, four genotypes of sorghum were used: “Rabeh,” “Kafer,” “Giza 113,” and “Inqath,” under three plant densities: 57.14 thousand plants ha-1, 71.43 thousand plants ha-1 and 95.24 thousand plants ha-1. Yield characteristics and components of sorghum were studied in terms of performance and variations. The results showed significant differences between varieties and plant densities, as the “Rescue” genotype was superior in grain yield, as the yield reached 6.37 Mgh-1 in the spring season and 7.67 Mgh-1 in the fall season. The “Inqath” variety also excelled in the number of grains per head, as it gave 2552 grains in the spring season and 2801.3 grains in the autumn season. Plant density had a significant effect on most traits in both the spring and fall seasons, while the interaction between plant density and genetic composition was significant in most of the traits studied. We conclude from this that most of the yield components in sorghum are more influenced by genetic factors. Therefore, the number of grains per head and grain weight can be relied upon as the main criteria in evaluating the grain yield of this crop. These characteristics accurately reflect the response of different varieties to environmental conditions and the interactions between them and plant density.

References

  1. 1. Abbas A, Syyed HH. Effect of sowing dates and nitrogen levels for ethanol production from sweet sorghum stalks and grains. African J Agric Res. 2016;11(4):266–75. https://doi.org/10.5897/AJAR2015.9765
  2. 2. Ibrahim MM, Abdulhamed ZA. Efficiency of selection in inducing genetic-molecular variations in sunflower. In: IOP Conference Series: Earth and Environmental Science. Institute of Physics. 2023. https://doi.org/10.1088/1755-1315/1158/6/062032
  3. 3. Deshmukh SB, Bagade AB, Choudhari AK. Original Research Article. Int J Curr Microbiol App Sci. 2018;6:1014-20. http://www.ijcmas.com
  4. 4. Abdul-Hamed ZA, Sarhan IA & Abbas SA. Combining ability, heterosis and gene action using (line×tester) analysis in corn. The Iraqi Journal of Agricultural Science. 2017;48(1):294-301. https://doi.org/10.36103/ijas.v48i1.448
  5. 5. Tabo R, Olabanji OG, Ajayi O. Effect of plant population density on the growth and yield of sorghum varieties grown on a vertisol. African Crop Sci J. 2002;10(1):31–8. https://doi.org/10.4314/acsj.v10i1.27555
  6. 6. Mohammadi N, Mojaddam M. The effect of water deficit stress on germination components of grain sorghum cultivars. 2014:4. http://www.cibtech.org/jls.htm
  7. 7. Abdulhamed ZA, Abood NM, Noaman AH, Assist P. Recurrent selection for general and specific combining ability in maize. Iraqi Journal of Agricultural Sciences. 2024;55:99-110. https://doi.org/10.36103/ijas.v55iSpecial.1889
  8. 8. Ali A, Safdar ME, Imran M, Qamar R, Ali MA, Ali B, et al. Inter-and Intra-Row and plant spacing impact on maize (Zea mays L.) growth and productivity: A review. International Journal of Advanced Science and Research. 2017;2(1):10-4. www.allsciencejournal.com
  9. 9. Abdulhamed ZA, Abdulkareem BM, Noaman AH. Role of molecular marker RAPD in determining the genetic divergence between hybrids and inbreed lines of maize using full diallel cross. Bionatura. 2023;8(CSS3). https://doi.org/10.21931/RB/CSS/2023.08.03.68
  10. 10. Dicko MH, Gruppen H, Traoré AS, Voragen AGJ, Van Berkel WJH. Sorghum grain as human food in Africa: Relevance of content of starch and amylase activities. African J Biotechnol. 2006;5(5):384–95. http://www.academicjournals.org/AJB.
  11. 11. Contreras-Govea FE, Lauriault LM, Marsalis MA, Angadi SV, VanLeeuwen D. Effect of planting density and in-row skips on grain sorghum (Sorghum bicolor) yield in semi-arid environments. Crops. 2025;5(3):242–52. https://www.mdpi.com/2673-7655/5/3/25
  12. 12. Kubiku FNM, Mandumbu R, Nyamangara J, Nyamadzawo G. Sorghum (Sorghum bicolor L.) yield response to rainwater harvesting practices in the semi-arid farming environments of Zimbabwe: A meta-analysis. Heliyon. 2022;8(3). https://doi.org/10.1016/j.heliyon.2022.e09164
  13. 13. Hamad HS, Abdulhamed ZA. Estimation of combining ability of growth and yield and its components of maize under salicylic acid concentrations. Bionatura. 2023;8(CSS3). https://doi.org/10.21931/RB/CSS/2023.08.03.67
  14. 14. Prasad BVV, Sridhar V. Studies on genetic variability, correlation and path analysis in yellow pericarp sorghum [Sorghum bicolor (L.) Moench] Genotypes. Int J Curr Microbiol Appl Sci. 2019;8(12):367–73. https://doi.org/10.20546/ijcmas.2019.812.049
  15. 15. Patil CN, Rathod AH, Vaghela PO, Yadav SR, Patade SS, Shinde AS. Study of correlation and path analysis in dual purpose sorghum [Sorghum bicolor (L.) Moench]. 2014:608-11.‏
  16. 16. Abd HS, Abdulhamed ZA, Ghadir MA. Estimation of genetic parameter by using full diallel cross in maize under different irrigation interval. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing Ltd. 2021. https://doi.org/10.1088/1755-1315/904/1/012054
  17. 17. Vendruscolo TPS, Barelli MAA, Castrillon MAS, Da Silva RS, De Oliveira FT, Corrêa CL, et al. Correlation and path analysis of biomass sorghum production. Genet Mol Res. 2016;15(4). https://doi.org/10.4238/gmr15049086
  18. 18. Zamir MSI, Ahmad AH, Javeed HMR, Latif T. Growth and yield behaviour of two maize hybrids (Zea mays L.) towards different plant spacing. Cercet Agron Mold. 2013;44(2). https://doi.org/10.2478/v10298-012-0030-9
  19. 19. Hamad HS, Abdulhamed ZA. Role of salicylic acid in stay green, growth and yield of two purposes maize hybrid. Bionatura. 2022;7(4). https://doi.org/10.21931/RB/2022.07.04.33
  20. 20. Gami RA. Genetic variability, character association and path analysis of forage sorghum [Sorghum bicolor (l) moench] Forage Research. 2021;47(2):153-8. http://forageresearch.in.
  21. 21. Abdulhamed ZA, Hwaidi MI, Alqaisi MRM. Determination of maize genotypes performance under water deficit using ISSR molecular index. Plant Sci Today. 2023;10(1):30–7.
  22. 22. Kumar Verma Scholar L, Biradar Professor B, Kumar Verma L, Biradar B. Correlation and path analysis for grain yield and yield attributes in rabi sorghum [Sorghum bicolor (L.) Monech]. Pharma Innov J. 2021;10(10). http://www.thepharmajournal.com
  23. 23. Ibrahim MM, Abdulhamed ZA. The selection by honey comb design and its effect on disk area and yield under three plant densities in sunflower. In: IOP Conference Series: Earth and Environmental Science. Institute of Physics. 2024. https://doi.org/10.1088/1755-1315/1371/5/052001
  24. 24. Al-Naggar A, El-Salam R, Hovny M, Yaseen W. Genotype × environment interaction and stability of Sorghum bicolor lines for some agronomic and yield traits in Egypt. Asian J Agric Hortic Res. 2018;1(3):1–14. https://doi.org/10.9734/AJAHR/2018/40985
  25. 25. Abd MS, Abdul Hamed ZA, Ghadir MA. Response of maize hybrids and inbred to yield and its components under irrigation interval. In: IOP conference series: Earth and Environmental Science. IOP Publishing Ltd. 2021. https://doi.org/10.1088/1755-1315/904/1/012003
  26. 26. Rohila Chaudhary Charan Singh N, Charan Singh C, K-Surjvir Chaudhary Charan Singh P. Genetic diversity among forage sorghum (Sorghum bicolor l. moench) genotypes Surender Pahuja 2022. http://forageresearch.in
  27. 27. Mathur S, Umakanth A V, Tonapi VA, Sharma R, Sharma MK. Sweet sorghum as biofuel feedstock: Recent advances and available resources. Biotechnology for Biofuels. BioMed Central Ltd. 2017. https://doi.org/10.1186/s13068-017-0834-9
  28. 28. Abdulhamed ZA, Abas SA, Noaman AH, Abood NM. Review on the Development of Drought Tolerant Maize Genotypes in Iraq. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing Ltd; 2021. https://doi.org/10.1088/1755-1315/904/1/012010
  29. 29. Patel PR, Jain SK, Chauhan RM, Patel PT. Stability analysis for fodder yield and its contributing traits in forage sorghum [Sorghum bicolor (L.) Moench] hybrids. Electron J Plant Breed. 2019;10(2):353–63. https://doi.org/10.5958/0975-928X.2019.00045.0
  30. 30. Alderfasi AA, Selim MM, Alhammad BA. Evaluation of plant densities and various irrigation regimes of sorghum under low water supply. J Water Resour Prot. 2016;8(1):1–11. https://doi.org/10.4236/jwarp.2016.81001
  31. 31. Mashiqa PK, Kelven Mashiqa P, Aatshwaelwe Lekgari L, Ngwako S. Effect of plant density on yield and yield components of maize in Botswana. 2022.
  32. 32. Mo A. (Ministry of Agriculture). Animal and plant health regulatory directorate, Crop variety register issue no13. Addis Ababa, Ethiopia. 2010.
  33. 33. Chavhan M, Jawale L, Bhutada P. Correlation and path analysis studies in kharif sorghum (Sorghum bicolor L. Moench) inbred lines. J Pharmacogn Phytochem. 2022;11(4):140–4. https://doi.org/10.22271/phyto.2022.v11.i4b.14457
  34. 34. Goswami SJ, Patel PT, Gami RA, Patel RN, Khatri AB. Correlation and path analysis study of different characters for grain yield and fodder purpose in sorghum [Sorghum bicolor (L.) Moench]. Electron J Plant Breed. 2020;11(4):1053–61. https://doi.org/10.37992/2020.1104.171
  35. 35. Wright S. Correlation and causation. Journal of Agricultural Research. 1921;20:557-85.
  36. 36. Tadese D, Piepho HP. Spatial model selection and design evaluation in the Ethiopian sorghum breeding program. Agron J. 2023;115(6):2888–99. https://doi.org/10.1002/agj2.21450

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