A case study on lentil to demonstrate the value of using historic data stored in genebanks to guide the selection of resources for research and development projects
Main Article Content
Abstract
Plant genetic resources are essential for sustainable agriculture and a secure and stable global food supply. One of the most important pulses and an integral part of a healthy diet is lentil (Lens culinaris Medik.). The National Centre for Plant Genetic Resources of Ukraine (NCPGRU), based in Kharkiv, manages a lentil collection of 1,140 accessions. In 2019, the first exchange of 37 lentil accessions between NCPGRU and a French research team took place. This exchange was accompanied by the transfer of phenotyping data for multiple traits. Considering that data collected in different environments provide important information on trait stability, the lentil accessions were phenotyped under new conditions through field research. This research allowed a comparative analysis of agroclimatic conditions for lentil cultivation in Ukraine (Kharkiv region) and France (Bourgogne-Franche-Comté region). The possibility of using genebank information to guide plant material selection for research and development projects was assessed. As a result, six lentil genotypes that performed well in different environments were selected. This allowed the identification of genotypes with the highest yield potential: UD0600086, UD0600145, UD0600437, UD0600530, UD0600550 and UD0600638. Genotypes recommended for use in breeding to produce high-yielding, relatively stable lentil varieties were successfully selected in the application case of this study, confirming that the information in the trait database of the NCPGRU Genebank is an important resource for predicting the characteristics of lentil accessions. Of the eight accessions selected by GGE biplot analysis using field research, five were predicted to be more promising by previous genebank data.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright of the articles published in Genetic Resources and grant the journal right of first publication with open access. All articles published in Genetic Resource are licensed under Creative Commons Attribution 4.0 International License (CC BY 4.0) that allows others to download, share and adapt the work for commercial and non-commercial purposes as long as proper attribution to the original article is given. Genetic Resources permits and encourages authors to post items submitted to the journal (including the publisher's final layout) on personal websites or institutional repositories after acceptance and/or publication, while providing bibliographic details that credit their publication in Genetic Resources.
Agrawal, Sh K (2016). Lentil Ontology - Crop Ontology Curation Tool [Crop Yields in Field Experiments]. URL: https://repo.mel.cgiar.org/handle/20.500.11766/6478.
Amit, R Y, D K Ravika, and N K Rai (2023). “Cluster analyses for various Agro-morphological traits in Fieldpea (Pisum sativum L.) Genotypes”. Biological Forum - An International Journal 15(5), pp. 351–355.
Bezuhla, O M and L N Kobyzeva (2021). “Starting material for the breeding of easily producible lentil varieties”. Plant Breeding and Seed Production 119, pp. 8–15. DOI: https://doi.org/10.30835/2413-7510.2021.236980. DOI: https://doi.org/10.30835/2413-7510.2021.236980
Bhartiya, A, J P Aditya, and S Singh (2015). “Assessment of variability for agro-morphological traits in elite lentil (Lens culinaris) lines using multivariate analysis”. Indian J. Agric. Res 49(6), pp. 539–543. DOI: https://doi.org/10.18805/ijare.v49i6.6682. DOI: https://doi.org/10.18805/ijare.v49i6.6682
Bisht, I, R Mahajan, and D Patel (1998). “The use of characterisation data to establish the Indian mungbean core collection and assessment of genetic diversity”. Genetic Resources and Crop Evolution 45, pp. 127–133. DOI: https://doi.org/10.1023/A:1008670332570. DOI: https://doi.org/10.1023/A:1008670332570
Cristobal, M D, V Pando, and B Herrero (2014). “Morphological characterization of lentil (Lens culinaris Medik.) Landraces from Castilla y Leon, Spain”. Pakistan Journal of Botany 46, pp. 1373–1380.
Díez, M J et al. (2018). “Plant Genebanks: Present Situation and Proposals for Their Improvement. the Case of the Spanish Network”. Frontiers in Plant Science 9, p. 1794. DOI: https://doi.org/10.3389/fpls.2018.01794. DOI: https://doi.org/10.3389/fpls.2018.01794
Egan, L M, W C Conaty, and W N Stiller (2022). “Core collections: is there any value for cotton breeding?” Frontiers in Plant Science 13, p. 895155. DOI: https://doi.org/10.3389/fpls.2022.895155. DOI: https://doi.org/10.3389/fpls.2022.895155
FAO (2009). International treaty on plant genetic resources for food and agriculture. URL: https://www.fao.org/plant-treaty/overview/texts-treaty/en/.
Gaad, D et al. (2018). “Collection and agro morphological characterization of Algerian accessions of lentil (Lens culinaris)”. Biodiversitas 19(1), pp. 183–193. DOI: https://doi.org/10.13057/biodiv/d190125. DOI: https://doi.org/10.13057/biodiv/d190125
Gedif, M and D Yigzaw (2014). “Genotype by Environment Interaction Analysis for Tuber Yield of Potato (Solanum tuberosum L.) Using a GGE Biplot Method in Amhara Region, Ethiopia”. Agricultural Sciences 5, pp. 239–249. DOI: https://doi.org/10.4236/as.2014.54027. DOI: https://doi.org/10.4236/as.2014.54027
Guerra-García, A et al. (2021). “Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well-Represented Collections”. Current Protocols 1(5), e134. DOI: https://doi.org/10.1002/cpz1.134. DOI: https://doi.org/10.1002/cpz1.134
Henry, L and H Wickham (2023). rlang: Functions for Base Types and Core R and ’Tidyverse’ Features_. R package version 1.1.1. URL: https://CRAN.R-project.org/package=rlang.
Hussain, S A et al. (2022). “Estimating genetic variability among diverse lentil collections through novel multivariate techniques”. PLoS ONE 17(6), e0269177. DOI: https://doi.org/10.1371/journal.pone.0269177. DOI: https://doi.org/10.1371/journal.pone.0269177
Ilyas, K et al. (2024). “Study of genetic variability of lentil (Lens culinaris Medik.) germplasm for morphological, physiological and yield traits”. Plant Bulletin 3(1), pp. 43–49. DOI: https://doi.org/10.55627/pbulletin.003.01.0338. DOI: https://doi.org/10.55627/pbulletin.003.01.0338
Kaale, L D, M Siddiq, and S Hooper (2023). “Lentil (Lens culinaris Medik) as nutrient-rich and versatile food legume: A review”. Legume Science 5(2), e169. DOI: https://doi.org/10.1002/leg3.169. DOI: https://doi.org/10.1002/leg3.169
Khan, M M H, M Y Rafii, and S I Ramlee (2021). “AMMI and GGE biplot analysis for yield performance and stability assessment of selected Bambara groundnut (Vigna subterranea L. Verdc.) genotypes under the multi-environmental trials (METs)”. Sci Rep 11, p. 22791. DOI: https://doi.org/10.1038/s41598-021-01411-2. DOI: https://doi.org/10.1038/s41598-021-01411-2
Khatun, H et al. (2022). “Phenotypic and genetic variability and genetic divergence in lentil (Lens culinaris Medik.) germplasm”. Functional Plant Breeding Journal 4(1). DOI: http://dx.doi.org/10.35418/2526-4117/v4n1a5. DOI: https://doi.org/10.35418/2526-4117/v4n1a5
Kir’yan, V M, L A Gluschenko, and R L Boguslavskyi (2014). “Collection of plant gene pool samples in southern and central regions of Ukraine”. Plant Genetic Resources 14, pp. 23–33.
Kobyzeva, L N, O M Bezugla, et al. (2012). “The potential of leguminous crops to create varieties suitable for mechanized harvesting”. Plant Breeding and Seed Production 102, pp. 10–15. DOI: https://doi.org/10.30835/2413-7510.2012.59806. DOI: https://doi.org/10.30835/2413-7510.2012.59806
Kobyzeva, L N, O M Bezuhla, I M Bezuhlyi, et al. (2011). “The effectiveness of valuable sources from the NCPGRU’s national collection of grain legumes inbreeding practice”. Plant Breeding and Seed Production 100, pp. 172–180.
Kobyzeva, L N, O M Bezuhla, S I Sylenko, et al. (2016). Methodical recommendations for studying the genetic resources of grain legumes. Kharkiv: NAAS, Plant Production Institute nd a VYa Yuriev.
Kuzbakova, M et al. (2022). “Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops”. Frontiers in Plant Science 13, p. 948099. DOI: https://doi.org/10.3389/fpls.2022.948099. DOI: https://doi.org/10.3389/fpls.2022.948099
Lázaro, A et al. (2001). “Relationships between agro/morphological characters and climatic parameters in Spanish landraces of lentil (Lens culinaris Medik.)” Genetic Resources and Crop Evolution 48, pp. 239–249. DOI: https://doi.org/10.1023/A:1011234126154. DOI: https://doi.org/10.1023/A:1011234126154
Maechler, M et al. (2022). cluster: Cluster Analysis Basics and Extensions. R package version 2.1.4. URL: https://rdocumentation.org/packages/cluster/versions/2.1.4.
Maphosa, L, A Preston, and M F Richards (2023). “Effect of sowing date and environment on phenology, growth and yield of lentil (Lens culinaris Medikus.) genotypes”. Plants (Basel) 12(3), p. 474. DOI: https://doi.org/10.3390/plants12030474. DOI: https://doi.org/10.3390/plants12030474
Milev, G (1999). “Effect of vegetation rainfalls on grain yield from lentil (Lens culinaris Medik) under the conditions of Dobroudja (Bulgaria)”. Bulgarian Journal of Agricultural Science 5, pp. 561–566. URL: https://www.agrojournal.org/05/402.htm.
Mohammed, N A et al. (2019). “Agro-Morphological Characterization of Lentil Genotypes in Dry Environments”. International Journal of Agriculture and Biology 22(6), pp. 1320–1330. DOI: https://doi.org/10.17957/IJAB/15.1204.
Olivoto, T and A D Lúcio (2020). “metan: An R package for multi-environment trial analysis”. Methods in Ecology and Evolution 11(6), pp. 783–789. DOI: https://doi.org/10.1111/2041-210X.13384. DOI: https://doi.org/10.1111/2041-210X.13384
Preiti, G et al. (2024). “Agronomic Performances and Seed Yield Components of Lentil (Lens culinaris Medikus) Germplasm in a Semi-Arid Environment”. Agronomy 14(2), p. 303. DOI: https://doi.org/10.3390/agronomy14020303. DOI: https://doi.org/10.3390/agronomy14020303
R Core Team (2023). R: A Language and Environment for Statistical Computing. url: https://ww w.R-project.org/. Vienna, Austria: R Foundation for Statistical Computing.
Rajpal, V R et al. (2023). “The prospects of gene introgression from crop wild relatives into cultivated lentil for climate change mitigation”. Frontiers in Plant Science 14, p. 1127239. DOI: https://doi.org/10.3389/fpls.2023.1127239. DOI: https://doi.org/10.3389/fpls.2023.1127239
Sari, E et al. (2018). “Defense responses of lentil (Lens culinaris) genotypes carrying non-allelic Ascochyta blight resistance genes to Ascochyta lentils infection”. PloS one 13(9), e0204124. DOI: https://doi.org/10.1371/journal.pone.0204124. DOI: https://doi.org/10.1371/journal.pone.0204124
Schauberger, P and A Walker (2022). openxlsx: Read, Write and Edit xlsx Files_. R package version 4.2.5.1. URL: https://CRAN.R-project.org/package=openxlsx.
Sivaraj, N et al. (2022). “Plant Genetic Resources Management in the Framework of Policy Developments”. In: Plant Genetic Resources, Inventory, Collection and Conservation. Ed. by DOI: https://doi.org/10.1007/978-981-16-7699-4_18
S Ramamoorthy, I J Buot, and R Chandrasekaran. doi: https://doi.org/10.1007/978-981-1 6-7699-4_18. Singapore: Springer.
Stanoeva, Y and M Koleva (2017). “Pathogenic variability of Ascochyta lentils in Bulgaria”. Journal of Agricultural, Food and Environmental Sciences 71(2), pp. 67–71. URL: https://journals.ukim.mk/index.php/jafes/article/view/1201.
TerresUnivia (2021). Le marché de la lentille dans l’Union Européenne. URL: https://www.terresunivia.fr/cultures-utilisation/les-especes-cultivees/lentille.
Tonev, T K et al. (1999). “Dry matter accumulation and chemical composition in Bulgarian varieties of lentil. I. Dry matter accumulation”. Bulgarian Journal of Agricultural Science 5, pp. 827–833. URL: https://www.agrojournal.org/06/537.htm.
Tripathi, K et al. (2022). “Agro-Morphological Characterization of Lentil Germplasm of Indian National Genebank and Development of a Core Set for Efficient Utilization in Lentil Improvement Programs”. Frontiers in Plant Science 12, p. 751429. DOI: https://doi.org/10.3389/fpls.2021.751429. DOI: https://doi.org/10.3389/fpls.2021.751429
U Ahamed, K et al. (2014). “Morphological characterization and genetic diversity in lentil (Lens culinaris Medik ssp. culinaris) germplasm”. International Journal of Agricultural Research, Innovation and Technology 4(1), pp. 70–76. DOI: http://dx.doi.org/10.22004/ag.econ.305356. DOI: https://doi.org/10.3329/ijarit.v4i1.21095
Vaissie, P, A Monge, and F Husson (2023). Factoshiny: Perform Factorial Analysis from ’FactoMineR’ with a Shiny Application. R package version 2.5. URL: https://CRAN.R-project.org/package=Factoshiny.
Vus, N A et al. (2020). “A feature collection of lentil (Lens culinaris Medik.) by nutritious value of seeds”. Plant Breeding and Seed Production 117, pp. 25–36. DOI: https://doi.org/10.30835/2413-7510.2020.206962. DOI: https://doi.org/10.30835/2413-7510.2020.206962
Vus, N, L N Kobyzeva, and O N Bezuglaya (2020). “Determination of the breeding value of collection chickpea (Cicer arietinum L.) accessions by cluster analysis”. Vavilov Journal of Genetics and Breeding 24(3), pp. 244–251. DOI: https://doi.org/10.18699/VJ20.617. DOI: https://doi.org/10.18699/VJ20.617
Vus, N, A Vasylenko, et al. (2020). “Concentration effect of polyethylene glycol in evaluation of grain legumes for drought tolerance”. Žemes U¯kio Mokslai 27(2), pp. 78–88. DOI: https://doi.org/10.6001/zemesukiomokslai.v27i2.4337. DOI: https://doi.org/10.6001/zemesukiomokslai.v27i2.4337
Wickham, H (2016). ggplot2: Elegant Graphics for Data Analysis. New York: Springer-Verlag. Yan, W and N A Tinker (2006). “Biplot Analysis of Multi-Environment Trial Data: Principles and Applications”. Canadian Journal of Plant Science 86, pp. 623–645. DOI: http://dx.doi.org/10.4141/P05-169. DOI: https://doi.org/10.4141/P05-169
Zadorozhna, O A et al. (2015). “Storage of pea, chickpea and lentil seed under controlled conditions”. Plant Genetic Resources 16, pp. 86–98. URL: http://genres.com.ua/ua/arxv-vidan/2015-vipusk-16/xranenie-semyan-goroxa-nuta-i-checheviczyi-v-kontroliruemyix-usloviyax/.
Zayed, E M, E G Zeinab, and K I Saad (2022). “Genetic diversity and principal component analysis (PCA) of faba bean landraces based on yield traits and protein SDS-page”. Journal of Global Agriculture and Ecology 13(4), pp. 1–16. DOI: http://dx.doi.org/10.56557/jogae/2022/v13i47506. DOI: https://doi.org/10.56557/jogae/2022/v13i47506