Identification of high-yielding and stable lentil genotypes under cold dryland conditions

Document Type : Research paper

Authors

1 Dryland Agricultural Research Institute (DARI), Agricultural Research Education and Extension Organization (AREEO), Maragheh, Iran.

2 The Agricultural and Natural Resources Research and Education Center of Zanjan, Iran.

3 The Agricultural and Natural Resources Research and Education Center of Kurdistan, Iran.

4 The Agricultural and Natural Resources Research and Education Center of Ardebil, Iran.

Abstract

To clarify the effects of genotype-by-environment interaction (GEI) and to develop high-yielding, cold-tolerant lentil lines suitable for cold rainfed conditions, a two-year study was conducted across four locations in Iran: Maragheh, Ardabil, Zanjan, and Kurdistan. Nine lentil landraces and one promising line (Pardis) were evaluated alongside the check varieties Bilehsavar and Sana using a randomized complete block design with three replications. Each plot consisted of four rows, each four meters long. The results indicated that the main effects of environment (E), genotype (G), and their interaction (GEI) were highly significant. Parametric and non-parametric stability analyses, together with GGE biplot analysis, were employed to interpret GEI patterns. The GGE biplot showed that the first two principal components explained 52.2% and 29.4% of the total variation in grain yield, respectively. Mean comparisons revealed that genotype G3 produced the highest average yield (781.5 kg/ha), followed by G5 (762.5 kg/ha). Genotype G10 achieved an average yield of 704.4 kg/ha, representing a 43% yield advantage over the check variety Bilehsavar and 6% over Sana. Overall, G3 and G5 emerged as the most promising genotypes, exhibiting superior performance across multiple evaluation methods. These findings underscore the importance of employing a multifaceted approach to genotype evaluation, enabling breeders to make informed decisions that enhance resilience and productivity in cold, dryland lentil production systems.

Keywords


Abbas G., Asghar M. J., Shahid M., Hussain J., Akram M., and Ahmad A. (2019). Yield performance of some lentil genotypes over different environments. Agrosystems Geosciences & Environment, 2: 1-3.
Amiri R., Pezeahkpour P., and Karami, I. (2021). Identification of lentil desirable genotypes using multivariate statistical methods and selection index of ideal genotype under Rainfed conditions. Journal of Crop Breeding, 13: 140-151. (In Persian)
Baxevanos D., Kaqrigiotidu A., Noulas C. H., Kouderi A. M., et al. (2024). Lentil cultivars evaluation in diverse organic Mediterranean environments. Agronomy, 14: 1-17.
Beggar A., Safi A, Gaboun F., Taghouti M., and Benbrahim N. (2022). Identification of stable lentil genotypes through genotype by environment interactions on yield potential in Morraco. Plant Science Today, 10(1): 57-66.
Ceritoglu M., Cig F., Erman M., and Ceritoglu F. (2025). Integrating multi-trait selection indices for climate resilient lentils: A three-year evaluation of earliness and yield stability under semi arid conditions. Agonomy, 15: 1-20.
Choukri H., Aloui K. H., El haddad N., Hejjaoui K., Smouni A., and Kumar S. H. (2025). AMMI and gge-biplot analysis for seed yield and nutritional quality traits in lentil under multiple stress conditions. Agricultural Science and Agronomy, DOI: https://doi.org/10.20944/preprints202503.0018.v1.
Das S., Sahoo K. C., Tudu S., Ray M., Samantaray S., Majhi P. K., and Sahoo S. K. (2025). GGE biplot model based yield stability analysis in chickpea (Cicer arietinum L.). Journal of Advances in Biology & Biotechnology, 28(2): 199-213.
Dehghani H., Sabaghpour S. H., and Sabaghnia N. (2008). Genotype×environment interaction for grain yield of some lentil genotypes and relationship among univariate stability statistics. Spanish Journal of Agricultural Research, 3: 385-394.
Eberhart S. A., and Russell W. A. (1996). Stability parameters for comparing varieties. Crop Science, 6(1): 36-40.
Fox P. N., Skovmand B., Thompson B. K., Braun H. J., and Cormier R. (1990). Yield and adaptation of hexaploid spring triticale. Euphytica, 47(1): 57-64.
Francis T. R., and Kannenberg L. W. (1978). Yield stability studies in short-season maize. I. A descriptive method for grouping genotypes. Canadian Journal of Plant Science, 58: 1029- 1034.
Gaffar M., Asghar M. J., and Shahid M. (2023). Estimation of lentil genotypes for yield using AMMI and GGE Biplot in Pakistan. Journal of Soil Science and Plant Nutrition, 23: 2316-2330.
Gerrano A. S., Rensburg W. S. J., Mathew I., and Shayanowko A. I. T. (2022). Genotype and genotype×environment interaction effects on the grain yield performance of cowpea genotypes in dryland farming system in South Africa. Euphytica, 216: 80-94.
Gupta S., Das S. H., Dikdhit H. K., Mishra G. P., et al. (2021). Genotype by environment interaction effect on grain iron and zinc concentration of Indian and Mediterranean lentil genotypes. Agronomy, 11: 1-13.
Hossain M. A., Sarker U., Azam M. G., and Kobir M. S. (2023). Integrating BLUP, AMMI, and GGE models to explore GE interactions for adaptability and stability of winter lentils (Lens culinaris Medik.). Plants, 12: 2079.
Huehn M. (1990). Nonparametric measures of phenotypic stability. Part 1: theory. Euphytica, 47(3): 189-194.
Jeberson M. S., Shashidhar K. S., Wani S. H., Singh A. K., and Dar S. A. (2019). Identification of stable lentil (Lens culinaris Medik) genotypes through GGE biplotand AMMI analysis for North Hill Zone of India. India: Agricultural Research Communication Centre, 42(4): 467-72. DOI: https://doi.org/10.18805/LR-3901.
Karimizadeh R., Mohammadi M., and Sabaghnia, N. (2013a). Site regression biplot analysis for matching new improved lentil genotypes into target environments. Journal of Plant Physiology and Breeding, 2: 51-65.
Karimizadeh R., Mohammadi M., Sabaghni N., Mahmoodi A. A., Roustami B., and Seyyedi F. (2013b). GGE biplot analysis of yield stability in multi-environment trials of lentil genotypes under rainfed condition. Notulae Scientia Biologica, 5: 256-262.
Lin C. S., Binns M. R., and Lefkovitch L. P. (1986). Stability analysis: Where do we stand. Crop Science, 26: 894-900.
Meena V. K., Sharma R. K., Chand S., Kumar S. H., and Choudhary K. (2025). Comparative study of stability models for identifying stable spring wheat genotypes in diverse conditions. Discover Agriculture, 3: 16. DOI: https://doi.org/10.1007/s44279-025-00167-x.
 Mohebodini M., Dehghani H., and Sbaghpour S. H. (2006). Stability of performance in lentil (Lens cilinaris Medik) genotypes in Iran. Euphytica, 149: 343-352.
Moradi S., Saba J., Tavakoli A., and Afsahi K. (2021) Screen of native lentil lines yield under dryland condition using GGE Biplot method. Journal of Crop Breeding, 13: 119-131.
Mullualem D., Tsega A., Mengie T., Fentie D., et al. (2024). Genotype by environment interaction and stability analysis of grain yield of bread wheat. Heliyon, 10: 1-16.
Namdari A., Pezeshkpour P., Barzali M., Mehraban A., Mirzaei., and Haghpanah M. (2025). Evaluation of grian yield stability of lentil genotypes using non-parametric statistics and AMMI analysis. Iranian Journal of Pulses Research, 16: 131-143.
Namdari A., Pezeshkpour P., Mehraban A., Mirzaei A., Vaezi B., and Nazari H. (2022). Evaluation the grain yield stability of promising rainfed lentil genotypes using parametric and non-parametric statistics. Iranian Journal of Field Crop Science, 53(3): 145-159.
Namdari A., Pezeshkpour P., Mehraban A., Mirzaei A., and Vaezi B. (2022). Evaluation of genotype ×environment interaction of advanced rainfed lentil genotypes by multivariate GGE biplot method. Crop Production, 15(2): 203-218.
Nassar R., and Hühn M. (1987). Studies on estimation of phenotypic stability: tests of significance for parametric measure of phenotypic stability. Biometrics, 43: 45-53.
Olivoto T., and Lucio A. D. (2021). Metan: An R package for multi-environment trial analysis. Methods in Ecology and Evolution, 11: 783-789.
Olivoto T., Lúcio A. D., da Silva J. A., Marchioro V. S., de Souza V. Q., and Jost E. (2019). Mean performance and stability in multi-environment trials I: combining features of AMMI and BLUP techniques. Agronomy Journal, 6: 2949-2960.
Pezeshkpour P., Amiri R., Karami I., and Mirzaei A. (2024). Grain yield stability analysis of lentil genotypes by AMMI indices. Journal of Crop Breeding, 16(4): 1-12. (In Persian)
Pezeshkpour P., Karimizadeh, R., Mirzaei A., and Barzali M. (2021). Analysis of yield stability of lentil genotypes using AMMI method. Journal of Crop Breeding, 37: 132-145 (In Persian)
Poudel P. P., Dhakal K., Darai R., Sah R., Subedi S., and Mishra S. (2023). Yield stability and genotype×environment interaction of lentil. Nepalese Journal of Agriculture Sciences. 24: 1-12.
Rajput L. S., Kumar S., Amrate P. K., Jahagirdar S., et al. (2022). WASSB index revealed stable resistance sources for soybean anthracnose in India. Agricultural Science, 159: 710-720.
Ramirez V., and Valencia-Cantero. (2024). The importance of lentils: An overview. Agriculture, 14(1): 103.
Rizal S., and Saha P. (2024). GGE biplot technique to delineate genotype×environment interactions to identify the stable resistance sources in the lentil stemphylium blight patthosystem. European Journal of Plant Pathology, 169: 555- 567.
Sabagnia N., Dehgani H., and Sabaghpour S. H. (2013). Nonparametric methods for interpreting genotype×environment interaction of lentil genotypes. Crop Science, 46: 1100-1106.
Sardar M. M., Tahir A. T., Ali S., Ayub J., et al. (2025). Insights from lentil germplasm resources leading to crop improvement under changing climate conditions. Life, 15: 1-25.
Sarker A., Singh M., Rajaram S., and Erskine W. (2010). Adaptation of small-seeded red lentil (Lens culinaris Medikus subsp. culinaris) to diverse environments. Crop Science, 50: 1250-1259.
Sedaghatkhahi H., Parsa M., Nezami A., Porsa H., and Bagheri A. R. (2011). Study yield and yield attributes in cold tolerant chickpea genotypes in winter sowing conditions at Mashhad. Iranian Journal of Pulses Research, 9: 322-330 (In Persian)
Sharifi P. (2020). Application of multivariate analysis methods in agricultural sciences. Rasht: Islamic Azad University Press. (In Persian)
Shobeiri S., Sadeghzadeh Ahari D., Pezeshkpour P., and Azimi M. (2021). Stability analysis of grain yield of Lens culinaris L lentil genotypes in dryland conditions by GGE biplot method. Journal of Crop Breeding, 40: 1-10.
Shobeiri S. S., Pezeshkpour P., and Sadeghzadeh D. (2023). Non-parametric stability analysis of yield in lentil genotypes. Crop protection, 16(3): 49-68. (In Persian)
Shukla G. K. (1972). Some statistical aspects of partitioning genotype-environmental components of variability. Heredity, 29: 237-245.
Subedi M., Khazaei H., Arganosa G., Etukudo E., and Vanderberg A. (2020). Genetic stability and genotype×environment interaction analysis for seed protein content and protein yield in lentil. Crop Science, 61: 342-356.
Tabrizivand Taheri M., Pouralibaba H. R., and Kokab S. (2024). Study lentil (Lens culinaris L.) landraces for cold tolerance field and controlled conditions. Journal of Crop Breeding, 15: 213-223.
Tadesse T., Sefera G., Asmare B., and Tekalign A. (2021). AMMI analysis for grain yield stability in lentil genotypes tested in the highlands of bale, southeastern ethiopia. Journal of Plant Sciences, 9: 9-12.
Wricke G. (1962). Ueber eine methodzuer erfassung der ekologischen streubreite in feldversuchen. Z. Pflanzenzuecht. (C.A. Becker and Léon 1988), 47: 92-96.
Yan W., Fregeau-reid J. A., Pageau D., and Martin R. A. (2010). Identifying essential test locations for oat breeding in eastern Canada. Crop Science, 50: 504-515.
Yan W., and Kang M. S. (2003). GGE biplot analysis: a graphical tool for breeders, Geneticists and Agronomists. 1st Edn., CRC Press LLC., Boca Raton, Florida, pp: 271.
Yan W., and Kang M. S. (2002). GGE biplot analysis: A graphical tool for breeders, geneticists and agronomists. CRC Press, USA, pp. 286.