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Digital Seed Morphometric Analysis of Nigerian Cultivated Rice (Oryza sativa L.) Varieties Grown Under Guinea Savannah Agro-ecology

Received: 1 February 2022    Accepted: 23 February 2022    Published: 4 March 2022
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Abstract

This study investigated the varietal differences for morphometric properties among Nigerian cultivated rice varieties. Twenty-two rice varieties were grown under rain fed conditions in guinea agro-ecology at National Agricultural Seed Council, Abuja, Nigeria in 2017 and 2018. After 30 days of harvest, seed samples were collected for morphometric evaluation. The seed samples were evaluated in laboratory of the Department of Plant Breeding and Seed Technology, Federal University of Agriculture, Abeokuta in 2017 and 2018 using completely randomized design in three replicates. Seeds obtained from the 22 varieties in two years were assessed for: six morphometric (physical) characters: seed projected area, seed straight length (mm), seed curve length (mm), seed straight width (mm), seed curved width (mm), seed width length (mm) and seed perimeter (mm) using an Epson Scanner connected to a computer device to acquire image of the seeds. A reagent instrument from Reagent Instrument Inc. Canada was used for the digital image analysis by running the custom written software WinSEEDLETM (Pro Version). Data obtained were subjected to Analysis of Variance and means were separated using Tukey’s HSD at 5% probability level. Pearson’s correlation coefficient and principal component analyses were also used. Significant varietal differences were observed for all seed physical characters evaluated. Seed physical characters (projected area, curve length, seed width, seed length and perimeters) were higher in 2018 compared to 2017. WAB 189 had superior physical characters. FARO 62 and FARO 22 had the least values for most of the seed physical characters. Most of the seed morphometric characteristics were strongly associated with one another. PC1 with seed projected area, straight length, seed straight width, seed curved width and seed perimeter contributed to the total variation observed. The study concluded that WAB 189 and FARO 50 with superior seed physical characters should be used for future seed improvement programme.

Published in International Journal of Agricultural Economics (Volume 7, Issue 2)
DOI 10.11648/j.ijae.20220702.11
Page(s) 61-68
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), 2024. Published by Science Publishing Group

Keywords

Digital Imaging, Computer, Morphometry, Seed Shape, Physical Character

References
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[2] Chakrabarty, S. K., Joshi, M. A., Singh, Y., Maity, A., Vashisht, V. and Dadlani, M. (2012). Characterization and evaluation of variability in farmers' varieties of rice from West Bengal. Indian Journal of Genetics and Plant Breeding, 72 (2), 136.
[3] Erhie, E. (2018). Boosting rice production through increased mechanisation. Lagos. Available at: www.pwc.com/ng.
[4] Dutefield, G., (2001). Intellectual Property Right, Trade and Biodiversity: The case of seed and plant varieties. In: Background Study Material for Training on IPR and WTO to NARS Scientists, Vol. I. ICAR, New Delhi.
[5] Oko, A. O., Ubi, B. E. and Efisue, A. A. (2012). A comparative study of local and newly introduced rice varieties in Ebonyi State of Nigeria based on selected agronomic characteristics. Int. J. of Agric. and Forestry. 2 (1): 11-17.
[6] Dobrzanski, B and Stepniewski, A. (2013). Physical properties of seeds in technological process. Adv. in Agrophysical Research. IntechOpen. DOI: 10.5772/56874.
[7] Cox S. (2002). Information technology: the global key to precision agriculture and sustainability, Comp. Electron. Agriculture. 36, 93–111.
[8] Daoust T., Fujimura K., McDonald M. B., Bennett M. A. (2005). A computer-based system for seed identification, Seed Technology. 27: 190–202.
[9] Dell’Aqila A. (2003). Image analysis as a tool to study deteriorated cabbage (Brassica oleracea L) seed imbibitions nder salt stress conditions, Seed Science. Technology. 31: 619-628.
[10] United States Department of Agriculture (USDA), (2015). Use of digital image analysis, viability stains, germination assays to estimate conventional and glyphosate- resistant cotton pollen viability. www.researchgate.net.
[11] Keys, R. D. (1982). CASAS (computerized automated seed analysis system): an approach to the analysis and testing of seed J. Seed Technol. 7: 23–35.
[12] Dell’Aquila A. (2006). Red-Green-Blue (RGB) colour density as a nondestructive marker in sorting deteriorated lentil (Lens culinaris Medik.) seeds, Seed Science Technology. 34: 609–619.
[13] Chowdhury, A. K., Srinives, P., Tongpamnak, P. and Saksoong, P. (2001). Genetic diversity based on morphology and RAPD analysis in vegetable soybean. Korean J. Crop Sci. 46 (2): 112-120.
[14] Lawal, I. T. (2020). Genetic diversity and stability studies in soybean (Glyxine max L. Merrill.) genotypes. Unpublished M. Agric. Dissertation, submitted to the post graduate School, Federal University of Agriculture, Abeokuta. Ogun State, Nigeria.
[15] FAO - Food and Agricultural Organization. 1999. Manual for training in seed production. Eds. Trivedi, R. K., Usman, I. A., and Umeh J. C. FAO, United Nations. Pp116.
[16] Daniel, I. O., Adeboye, K. A., Oduwaye, O. A. and Porbeni, J. (2012). Digital seed Morphometric characterization. International journal of Plant Breeding and Genetics. 6: 245-251.
[17] Okelola, F. S., Adebisi, M. A., Lawal, I. T. and Adeyemo, S. S. (2019). Use of computer based system for analysis of seed metric characters and relationships with other seed physiological qualities in rice (Oriyz sativa) varieties. Nigerian Journal of Seed Science (NJSS) 3: 1–11.
[18] Adetumbi, J. A. (2013). Genetic purity of parental inbred lines, commercial hybrids and open pollinated maize (Zea mays L.) seeds in Nigeria. Unpublished PhD Thesis, Federal University of Agriculture, Abeokuta. Ogun state Nigeria. 200pp.
[19] Kaushik N, Kumar K, Kumar S, Kaushik N, Roy S. (2007). Genetic variability and divergence studies in seed traits and oil content of Jatropha (Jatropha curcas) accessions. Biomass and Bioenergy 31: 497-502.
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    Okelola Folarin Sunday, Lawal Ismaila Temitayo, Adebisi Moruf Adebisi. (2022). Digital Seed Morphometric Analysis of Nigerian Cultivated Rice (Oryza sativa L.) Varieties Grown Under Guinea Savannah Agro-ecology. International Journal of Agricultural Economics, 7(2), 61-68. https://doi.org/10.11648/j.ijae.20220702.11

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    ACS Style

    Okelola Folarin Sunday; Lawal Ismaila Temitayo; Adebisi Moruf Adebisi. Digital Seed Morphometric Analysis of Nigerian Cultivated Rice (Oryza sativa L.) Varieties Grown Under Guinea Savannah Agro-ecology. Int. J. Agric. Econ. 2022, 7(2), 61-68. doi: 10.11648/j.ijae.20220702.11

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    AMA Style

    Okelola Folarin Sunday, Lawal Ismaila Temitayo, Adebisi Moruf Adebisi. Digital Seed Morphometric Analysis of Nigerian Cultivated Rice (Oryza sativa L.) Varieties Grown Under Guinea Savannah Agro-ecology. Int J Agric Econ. 2022;7(2):61-68. doi: 10.11648/j.ijae.20220702.11

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  • @article{10.11648/j.ijae.20220702.11,
      author = {Okelola Folarin Sunday and Lawal Ismaila Temitayo and Adebisi Moruf Adebisi},
      title = {Digital Seed Morphometric Analysis of Nigerian Cultivated Rice (Oryza sativa L.) Varieties Grown Under Guinea Savannah Agro-ecology},
      journal = {International Journal of Agricultural Economics},
      volume = {7},
      number = {2},
      pages = {61-68},
      doi = {10.11648/j.ijae.20220702.11},
      url = {https://doi.org/10.11648/j.ijae.20220702.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20220702.11},
      abstract = {This study investigated the varietal differences for morphometric properties among Nigerian cultivated rice varieties. Twenty-two rice varieties were grown under rain fed conditions in guinea agro-ecology at National Agricultural Seed Council, Abuja, Nigeria in 2017 and 2018. After 30 days of harvest, seed samples were collected for morphometric evaluation. The seed samples were evaluated in laboratory of the Department of Plant Breeding and Seed Technology, Federal University of Agriculture, Abeokuta in 2017 and 2018 using completely randomized design in three replicates. Seeds obtained from the 22 varieties in two years were assessed for: six morphometric (physical) characters: seed projected area, seed straight length (mm), seed curve length (mm), seed straight width (mm), seed curved width (mm), seed width length (mm) and seed perimeter (mm) using an Epson Scanner connected to a computer device to acquire image of the seeds. A reagent instrument from Reagent Instrument Inc. Canada was used for the digital image analysis by running the custom written software WinSEEDLETM (Pro Version). Data obtained were subjected to Analysis of Variance and means were separated using Tukey’s HSD at 5% probability level. Pearson’s correlation coefficient and principal component analyses were also used. Significant varietal differences were observed for all seed physical characters evaluated. Seed physical characters (projected area, curve length, seed width, seed length and perimeters) were higher in 2018 compared to 2017. WAB 189 had superior physical characters. FARO 62 and FARO 22 had the least values for most of the seed physical characters. Most of the seed morphometric characteristics were strongly associated with one another. PC1 with seed projected area, straight length, seed straight width, seed curved width and seed perimeter contributed to the total variation observed. The study concluded that WAB 189 and FARO 50 with superior seed physical characters should be used for future seed improvement programme.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Digital Seed Morphometric Analysis of Nigerian Cultivated Rice (Oryza sativa L.) Varieties Grown Under Guinea Savannah Agro-ecology
    AU  - Okelola Folarin Sunday
    AU  - Lawal Ismaila Temitayo
    AU  - Adebisi Moruf Adebisi
    Y1  - 2022/03/04
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijae.20220702.11
    DO  - 10.11648/j.ijae.20220702.11
    T2  - International Journal of Agricultural Economics
    JF  - International Journal of Agricultural Economics
    JO  - International Journal of Agricultural Economics
    SP  - 61
    EP  - 68
    PB  - Science Publishing Group
    SN  - 2575-3843
    UR  - https://doi.org/10.11648/j.ijae.20220702.11
    AB  - This study investigated the varietal differences for morphometric properties among Nigerian cultivated rice varieties. Twenty-two rice varieties were grown under rain fed conditions in guinea agro-ecology at National Agricultural Seed Council, Abuja, Nigeria in 2017 and 2018. After 30 days of harvest, seed samples were collected for morphometric evaluation. The seed samples were evaluated in laboratory of the Department of Plant Breeding and Seed Technology, Federal University of Agriculture, Abeokuta in 2017 and 2018 using completely randomized design in three replicates. Seeds obtained from the 22 varieties in two years were assessed for: six morphometric (physical) characters: seed projected area, seed straight length (mm), seed curve length (mm), seed straight width (mm), seed curved width (mm), seed width length (mm) and seed perimeter (mm) using an Epson Scanner connected to a computer device to acquire image of the seeds. A reagent instrument from Reagent Instrument Inc. Canada was used for the digital image analysis by running the custom written software WinSEEDLETM (Pro Version). Data obtained were subjected to Analysis of Variance and means were separated using Tukey’s HSD at 5% probability level. Pearson’s correlation coefficient and principal component analyses were also used. Significant varietal differences were observed for all seed physical characters evaluated. Seed physical characters (projected area, curve length, seed width, seed length and perimeters) were higher in 2018 compared to 2017. WAB 189 had superior physical characters. FARO 62 and FARO 22 had the least values for most of the seed physical characters. Most of the seed morphometric characteristics were strongly associated with one another. PC1 with seed projected area, straight length, seed straight width, seed curved width and seed perimeter contributed to the total variation observed. The study concluded that WAB 189 and FARO 50 with superior seed physical characters should be used for future seed improvement programme.
    VL  - 7
    IS  - 2
    ER  - 

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Author Information
  • National Agricultural Seeds Council, Sheda, Abuja

  • National Agricultural Seeds Council, Sheda, Abuja

  • Department of Plant Breeding and Seed Technology, Federal University of Agriculture, Abeokuta, Nigeria

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