Abstract
Stemphylium blight (SB) is one of the most important biotic stresses of lentil, occuring in almost all major lentil-growing nations. Among 150 species recorded, Stemphylium botryosum (Wallr.) is responsible for inciting SB in lentil. It has a wide host range and perpetuate in the seeds, crop debris and secondary spread occurs through air-borne conidia. The most vulnerable stage of infection is flowering to early pod setting, so, confers a serious threat to lentil production. Environment plays pivotal role in host–pathogen dynamics and also interfere in disease management. This study involves deciphering genotype × environment interactions by utilising GGE biplot to unveil and validate durable resistant genotypes and their performance over three different locations. Primarily, from 70 lentil genotypes, 23 promising genotypes were selected based on their disease reaction (< 30%) against SB and evaluated further across the three locations for two consecutive years. The test result from GGE biplot analysis revealed that genotype exerted higher proportion of variation in SB reaction than environment. Result confirmed the presence of inconsistent genotypic response over locations and years. Selected locations grouped into three environment clusters suggesting the existence of cross over interaction with in the genotypes. Integration of GGE biplot and BLUP analysis identified G-3 (ILL10838/ILWL11/X2016S) as the “ideal” genotype whereas, G-7 (8114/10956/16–1) and G-5 (LIRL22-107/LIRL21-50–1-1–1) as “desirable” genotypes considering their static response against SB over the environment. Genotypes detected through this study could be recommended for their future deployment in lentil resistance breeding programme.
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The data that support the findings of the study are available from the corresponding author upon reasonable request.
References
Ali, M., & Gupta, S. (2012). Carrying capacity of Indian agriculture: Pulse crops. Current Science, 102(6), 874–881.
Das, R., Banerjee, A., Maji, S., & Nath, R. (2017). Fungicidal management of stemphylium blight (Stemphylium botryosum Wallr.) of lentil (Lens culinaris Medik). Journal of mycopathological research, 55(2), 191–193.
Das, A., Gupta, S., Parihar, A. K., Singh, D., Chand, R., Pratap, A., Singha, K. D., & Kushwaha, K. P. (2020). Delineating Genotype × Environment interactions towards durable resistance in mungbean against Cercospora leaf spot (Cercospora canescens) using GGE biplot. Plant Breeding, 139(3), 639–650. https://doi.org/10.1111/pbr.12789
Erdemci, İ, Yaşar, M., & Koç, M. (2023). Assignment of resistance stability of chickpea genotypes tested in multi-environments against ascochyta blight using GGE biplot analysis. European Journal of Plant Pathology. https://doi.org/10.1007/s10658-023-02688-x
FAOSTAT. (2021). Faostat, Fao Statistical Database. Retrieved from http://www.faostat.fao.org. Accessed 19–20 Feb 2024. http://www.faostat.fao.org
Gomez, K. A., & Gomez, A. A. (1984). Statistical procedures in agricultural research (2nd ed.). Wiley.
Hosen, M. I., Ahmed, A. U., Zaman, J., Ghosh, S., & Hossain, K. M. K. (2009). Cultural and physiological variation between isolates of Stemphylium botryosum the causal of Stemphylium blight disease of lentil (Lens culinaris). World Journal of Agricultural Sciences, 5(1), 94–98.
Islam, M. A., Razzak, M. A., Sathi, M. A., Atikuzzamman, M., Nath, H. L., & Islam, M. S. (2019). Efficacy of fungicides against Stemphylium blight disease of lentil under field condition. Asian Journal of Medical and Biological Research, 2(5), 176–185. https://doi.org/10.3329/ajmbr.v5i2.42491
Javaid, A., Munir, R., Khan, I. H., & Shoaib, A. (2020). Control of the chickpea blight, Ascochyta rabiei, with the weed plant, Withania somnifera. Egyptian Journal of Biological Pest Control, 30, 1–8. https://doi.org/10.1186/s41938-020-00315-z
Khan, M. S. H., and Jahan, S. (2019). Stempedia Model: Fighting Blight in Lentil. CSISA Success Story. https://csisa.org/stempedia-model-fighting-blight-in-lentil-2/. Accessed 26 May 2023
Mandal, D., Bhattacharyya, P. K., Das, R., & Bhattacharyya, S. (2019). Screening of lentil germplasms for Stemphylium blight resistance in West Bengal condition. Journal of Crop and Weed, 15(2), 155–162.
Nalia, A., Reja, M. H., Ghosh, A., Mukherjee, B., Nath, R., Dixit, H. K., & Sarkar, A. (2019). Performance of short duration lentil genotypes in the rice fallow new alluvial zones of West Bengal. Journal of Food Legumes, 32(2), 75–77.
Parihar, A. K., Basandrai, A. K., Saxena, D. R., Kushwaha, K. P., Chandra, S., Sharma, K., Singha, K. D., Singh, D., Lal, H. C., & Gupta, S. (2017). Biplot evaluation of test environments and identification of lentil genotypes with durable resistance to fusarium wilt in India. Crop and Pasture Science, 68(11), 1024–1030.
Parihar, A. K., Basandrai, A. K., Kushwaha, K. P. S., Chandra, S., Singh, K. D., Bal, R. S., Saxena, D., Singh, D., & Gupta, S. (2018). Targeting test environments and rust-resistant genotypes in lentils (Lens culinaris) by using heritability-adjusted biplot analysis. Crop and Pasture Science, 69(11), 1113–1125. https://doi.org/10.1071/CP18259
Razzak, M. A., Islam, M. A., Rahman, M. H., Sathi, M. A., & Atikuzzamman, M. (2018). Screening of lentil germplasm against Stemphylium blight by observing disease reaction in three different stages. Malaysian Journal of Halal Research, 1(2), 15–18. https://doi.org/10.26480/mjhr.02.2018.15.18
Reja, M. H., Mandi, S. K., Kundu, M. K., Nath, R., & Goswami, S. B. (2017). Performance of different lentil varieties in New Alluvial Zone of West Bengal. The BioScan, 12(3), 1673–1676.
R Development Core Team. (2012). R: A Language and Environment for Statistical Computing. Vienna: R foundation for Statistical Computing. http://www.R-project.org/
Sankar, S. M., Singh, S. P., Prakash, G., Satyavathi, C. T., Soumya, S. L., Yadav, Y., Sharma, L. D., Rao, A. R., Singh, N., & Srivastava, R. K. (2021). Deciphering genotype-by-environment interaction for target environmental delineation and identification of stable resistant sources against foliar blast disease of pearl millet. Frontiers in Plant Science, 12, 656158. https://doi.org/10.3389/fpls.2021.656158
Sharma, V., & Shukla, V. (2014). Scenario of Lentil in India – A review. Advances in Life Sciences, 3(1), 1–6.
Silva, F. H. D. L., Viana, A. P., Santos, E. A., Freitas, J. C. D. O., Rodrigues, D. L., & Amaral, A. T. D. (2017). Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection. Acta Scientiarum. Agronomy, 39(2), 183–190. https://doi.org/10.4025/actasciagron.v39i2.32554
Tamang, S., Saha, P., Bhattacharya, S., & Das, A. (2022). Unveiling genotype × environment interactions towards identification of stable sources of resistance in chickpea—collar rot pathosystem exploiting GGE biplot technique. Australasian Plant Pathology, 51, 47–58. https://doi.org/10.1007/s13313-021-00834-9
Yan, W. (2002). Singular‐value partitioning in biplot analysis of multienvironment trial data. Agronomy Journal, 94(5), 990–996. https://doi.org/10.2134/agronj2002.9900
Yan, W., & Falk, D. E. (2002). Biplot analysis of host-by-pathogen data. Plant Disease, 86(12), 1396–1401. https://doi.org/10.1094/PDIS.2002.86.12.1396
Yan, W., & Kang, M. S. (2002). GGE biplot analysis, A graphical tool for breeders, geneticists, and agronomists. CRC Press.
Yan, W., & Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science, 86(3), 623–645. https://doi.org/10.4141/P05-169
Yan, W., Hunt, L. A., Sheng, Q., & Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40(3), 597–605. https://doi.org/10.2135/cropsci2000.403597x
Yan, W., Cornelius, P. L., Crossa, J., & Hunt, L. A. (2001). Two types of GGE biplots for analyzing multi-environment trial data. Crop Science, 41(3), 656–663. https://doi.org/10.2135/cropsci2001.413656x
Yan, W., Kang, M. S., Ma, B., Woods, S., & Cornelius, P. L. (2007). GGE biplot vs AMMEI analysis of genotype by environment data. Crop science, 47, 643–653. https://doi.org/10.2135/cropsci2006060374
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PS contributed in concept and design. Material preparation, data collection and analysis were performed by SR. The first draft of the manuscript was written by SR and edited by PS. Both the authors read and approved the final manuscript.
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Rizal, S., Saha, P. GGE biplot technique to delineate genotype × environment interactions to identify the stable resistance sources in the lentil—Stemphylium blight pathosystem. Eur J Plant Pathol (2024). https://doi.org/10.1007/s10658-024-02851-y
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DOI: https://doi.org/10.1007/s10658-024-02851-y