Phenotyping of winter triticale canopy density in field conditions using an RGB camera
Piotr Stefański
Hodowla Roślin Strzelce Grupa IHAR Sp. z o.o., ul. Główna 20, 99-307 Strzelce (Poland)
Krystyna Rybka
krrybka2015@gmail.comInstytut Hodowli i Aklimatyzacji Roślin- Państwowy Instytut Badawczy, 05-870 Radzików (Poland)
https://orcid.org/0000-0002-4707-8492
Przemysław Matysik
Hodowla Roślin Strzelce Grupa IHAR Sp. z o.o., ul. Główna 20, 99-307 Strzelce (Poland)
Abstract
Triticale (× Triticosecale Wittmack) is a hexaploid species obtained by crossbreeding of wheat and rye. It is characterized by high adaptability to unfavorable environmental conditions, an essential feature in a changing climate. In this work, we present the results of automatic phenotyping of canopy density, a yield-forming factor, in autumn and spring (BBCH phases 22-29) for twelve commercial varieties of winter triticale from the PDO trials (post-registration variety testing), COBORU (Research Centre for Cultivar Testing) experiments. Two field replicates, grown at two agrotechnical levels (A1, A2), were phenotyped using the HTPP (High Throughput Plant Phenotyping) platform, PlantScreen (PSI, Drasov, Czech Republic), equipped with a high-resolution RGB camera. The obtained photos were processed using Morpho Analyser software, which is dedicated to processing recorded images and is included in the platform. The obtained results (green color pixels in the photo) and the yield were subjected to statistical analysis using Doriane software, a statistical package for plant breeding. Since the differences between the results obtained at A1 and A2 levels were not statistically significant, the data were averaged, and Pearson's correlations of canopy density in autumn and spring with yield were calculated. In both seasons, the correlation coefficients were 0.79. These are high-value coefficients that are of practical importance for breeding.
Supporting Agencies
Keywords:
plant breeding, field imaging, high throughput phenotyping, yield potntial, TriticosecaleReferences
Austin, R.B. (1993). Augmenting yield-based selection, in: M. D. Hayward, et al. (Eds.), Plant Breeding: Principles and Prospects Springer Netherlands, Dordrecht. pp. 391-405.
DOI: https://doi.org/10.1007/978-94-011-1524-7_24
Google Scholar
Bednarek, R., Dziadowiec, H., Pokojska, U., Prusinkiewicz, Z. (2011). Badania gleboznawczo- ekologiczne. PWN, Warszawa [ISBN 83-01-14216-2] str. 343.
Google Scholar
Daloso D. D. M., Williams, T. C. R. (2021). Current Challenges in Plant Systems Biology, in: F. V,ischi Winck (Ed.), Advances in Plant Omics and Systems Biology Approaches, Springer International Publishing, Cham. pp. 155-170.
DOI: https://doi.org/10.1007/978-3-030-80352-0_9
Google Scholar
Doriane. (2024) Agronomy driven by data. https://www.doriane.com. Data dostępu, 15.03.2024.
Google Scholar
Drzazga, T., Krajewski, P., Śmiałek, E. (2013). Wykorzystanie różnych poziomów intensywności agrotechniki w hodowli pszenicy ozimej. Biuletyn Instytutu Hodowli I Aklimatyzacji Roślin, 270, 3-16. DOI: https://doi.org/10.37317/biul-2013-0001
DOI: https://doi.org/10.37317/biul-2013-0001
Google Scholar
European Commission (20.05.2020) Reinforcing Europe's resilience: halting biodiversity loss and building a healthy and sustainable food system. An official website of the European Union, https://ec.europa.eu/commission/presscorner/detail/en/ip_20_884; The European Green Deal, https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal_en; Farm to Fork Strategy, https://food.ec.europa.eu/horizontal-topics/farm-fork-strategy_en. Data dostępu 22.02.2024.
Google Scholar
Großkinsky, D. K., Svensgaard, J., Christensen, S., Roitsch, T. (2015). Plant phenomics and the need for physiological phenotyping across scales to narrow the genotype-to-phenotype knowledge gap. Journal of Experimental Botany, 66, 5429-5440. DOI: https://doi.org/10.1093/jxb/erv345
DOI: https://doi.org/10.1093/jxb/erv345
Google Scholar
Hurgobin, B., Edwards, D. (2017). SNP Discovery Using a Pangenome: Has the Single Reference Approach Become Obsolete? Biology 6, 21. DOI: https://doi.org/10.3390/biology6010021.
DOI: https://doi.org/10.3390/biology6010021
Google Scholar
Kanehisa Laboratories, Fukuoka- Kyoto– Tokyo (15.01.2024) KEGG Pathway Database. Wiring diagrams of molecular interactions, reactions and relations. https://www.genome.jp/kegg/pathway.html. Data dostępu 22.02.2024.
Google Scholar
Long, T. A., Brady, S. M., Benfey, P. N. (2008). Systems approaches to identifying gene regulatory networks in plants. Annual Review of Cell and Developmental Biology 24, 81-103. DOI: https://doi.org/10.1146/annurev.cellbio.24.110707.175408
DOI: https://doi.org/10.1146/annurev.cellbio.24.110707.175408
Google Scholar
Matysik P., Nita Z., Matysik E. (2007). Skuteczność kryteriów selekcji pszenicy ozimej w pokoleniu F4 na podstawie komponentów plonu. Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin 244, 99-110. DOI: https://doi.org/10.37317/biul-2007-0049
DOI: https://doi.org/10.37317/biul-2007-0049
Google Scholar
Mir, R. R., Reynolds, M., Pinto, F., Khan ,M. A., Bhat, M. A. (2019). High-throughput phenotyping for crop improvement in the genomics era. Plant Science 282, 60-72. DOI: https://doi.org/10.1016/j.plantsci.2019.01.007
DOI: https://doi.org/10.1016/j.plantsci.2019.01.007
Google Scholar
Ninomiya, S. (2022). High-throughput field crop phenotyping: current status and challenges. Breeding Science 72(1), 3-18. DOI: https://doi.org/10.1270/jsbbs.21069
DOI: https://doi.org/10.1270/jsbbs.21069
Google Scholar
Ndour, A., Vadez, V., Pradal, C., Lucas, M. (2017). Virtual Plants Need Water Too: Functional-Structural Root System Models in the Context of Drought Tolerance Breeding. Frontiers in Plant Science 8, 1577. DOI: https://doi.org/10.3389/fpls.2017.01577
DOI: https://doi.org/10.3389/fpls.2017.01577
Google Scholar
Oleksiak, T., Spyroglou, I., Pacoń, D., Matysik, P., Pernisova, M., Rybka, K. (2022). Effect of drought on wheat production in Poland between 1961 and 2019. Crop Science 62, 728-743. DOI: https://doi.org/10.1002/csc2.20690
DOI: https://doi.org/10.1002/csc2.20690
Google Scholar
Padmavathi, K., Thangadurai, K. (2016.) Implementation of RGB and Grayscale Images in Plant Leaves Disease Detection – Comparative Study. Indian Journal of Science and Technology 9(6), 1-7. DOI: https://doi.org/10.17485/ijst/2016/v9i6/77739
DOI: https://doi.org/10.17485/ijst/2016/v9i6/77739
Google Scholar
Pieruschka ,R., Lawson, T. (2015). Phenotyping in plants. Journal of Experimental Botany 66, 5385-5387. DOI: https://doi.org/10.1093/jxb/erv395
DOI: https://doi.org/10.1093/jxb/erv395
Google Scholar
Rapid Tables. (2024) Tabela kolorów RGB. https://www.rapidtables.org/pl/web/color/RGB_Color.html. Data dostępu 13.03.2024
Google Scholar
Rozbicki, J., Gozdowski, D., Studnicki, M., Mądry, W., Golba, J., Sobczyński, G., Wijata, M. (2019.) Management intensity effects on grain yield and its quality traits of winter wheat cultivars in different environments in Poland. Electronic Journal of Polish agricultural Universities 22(1), 1. DOI: https://doi.org/10.30825/5.ejpau.168.2019.22.1
DOI: https://doi.org/10.30825/5.EJPAU.168.2019.22.1
Google Scholar
Rybka, K. (2018). Fenotypowanie roślin. Konferencja EPPN 2020 w Tartu/ Estonia. Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin 282, 161-174. DOI: https://doi.org/10.37317/biul-2017-0022
DOI: https://doi.org/10.37317/biul-2017-0022
Google Scholar
Rybka, K. (2023). Najnowsze doniesienia z zakresu biotechnologii i hodowli zbóż: CBB7 siódma konferencja Cereal Biotechnology and Breeding w Wernigerode, Niemcy. Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin 300, 77-89. DOI: https://doi.org/10.37317/biul-2023-0014
DOI: https://doi.org/10.37317/biul-2023-0014
Google Scholar
Rybka K., Nita Z. (2015). Physiological requirements for wheat ideotypes in response to drought threat. Acta Physiologiae Plantarum e37, 1-13. DOI: https://doi.org10.1007/s11738-015-1844-5
DOI: https://doi.org/10.1007/s11738-015-1844-5
Google Scholar
Skłodowski, P., & Bielska, A. (2009). Properties and fertility of soils in Poland: A basis for the formation of agro-environmental relations. (In Polish: Właściwości i urodzajność gleb Polski: podstawa kształtowania relacji rolno-środowiskowych. With English summary, figure legends and headers of tables.) Woda-Środowisko-Obszary Wiejskie, 9(28), 203–214. http://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-article-BATC-0002-0057
Google Scholar
Skudlarski, J. (2023). Skanowanie elektromagnetyczne gleby – element rolnictwa precyzyjnego. Wiadomości Rolnicze Polska https://www.wrp.pl/skanowanie-elektromagnetyczne-gleby-element-rolnictwa-precyzyjnego/ Data dostępu 16.03.2024
Google Scholar
Stefański, P., Ullah, S., Matysik, P., Rybka, K. (2024). Triticale field phenotyping using RGB camera for ear counting and yield estimation. Journal of Applied Genetics 65, 271-281. DOI: https://doi.org/10.1007/s13353-024-00835-6.
DOI: https://doi.org/10.1007/s13353-024-00835-6
Google Scholar
Sun, C., Dong, Z., Zhao, L., Ren, Y., Zhang, N., Chen, F. (2020). The Wheat 660K SNP array demonstrates great potential for marker-assisted selection in polyploid wheat. Plant Biotechnology Journal 18, 1354-1360. DOI: https://doi.org/10.1111/pbi.13361
DOI: https://doi.org/10.1111/pbi.13361
Google Scholar
Uggla, H. (1981). Gleboznawstwo rolnicze. PWN, Warszawa [ISBN 83-01-00237-9], str. 557.
Google Scholar
Zhang, B., Huang, H., Tibbs-Cortes, L. E., Vanous, A., Zhang, Z., Sanguine, K., Garland-Campbell, K. A., Yu, J., Li, X. (2023). Streamline unsupervised machine learning to survey and graph indel indel-based haplotypes from pan pan-genomes. Molecular Plant 16, 975-997. DOI: https://doi.org/10.1016/j.molp.2023.05.005
DOI: https://doi.org/10.1016/j.molp.2023.05.005
Google Scholar
Authors
Piotr StefańskiHodowla Roślin Strzelce Grupa IHAR Sp. z o.o., ul. Główna 20, 99-307 Strzelce Poland
Authors
Krystyna Rybkakrrybka2015@gmail.com
Instytut Hodowli i Aklimatyzacji Roślin- Państwowy Instytut Badawczy, 05-870 Radzików Poland
https://orcid.org/0000-0002-4707-8492
Authors
Przemysław MatysikHodowla Roślin Strzelce Grupa IHAR Sp. z o.o., ul. Główna 20, 99-307 Strzelce Poland
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