[
Abdul-Hassan, A. & Al-Issawi, M. (2021). Introducing several wheat genotypes and testing them for planting under western parts of Iraq conditions. Anbar Journal of Agricultural Sciences, 19(2), 315 – 328. DOI:10.32649/ajas.2021.176184.
]Search in Google Scholar
[
Afonnikov, D. A., Komyshev, E. G., Efimov, V. M., Genaev, M. A., Koval, V. S., Gierke, P. U., & Börner, A. (2022). Relationship between the characteristics of bread wheat grains, storage time and germination. Plants, 11(1). DOI:10.3390/ PLANTS11010035.
]Search in Google Scholar
[
Al-Ashkar, I., Sallam, M., Al-Suhaibani, N., Ibrahim, A., Alsadon, A., & Al-Doss, A. (2022). Multiple stresses of wheat in the detection of traits and genotypes of high-performance and stability for a complex interplay of environment and genotypes. Agronomy, 12(10), 2252. DOI:10.3390/agronomy12102252.
]Search in Google Scholar
[
Al-Temimi, A. H. & Abed, Z. A. (2016). Evaluation the performance and stability of cowpea selected generations under drought tolerance. Iraqi Journal of Agricultural Sciences, 47(3), 791 – 803. DOI:10.36103/IJAS.V47I3.569.
]Search in Google Scholar
[
Alfalahi, A. O., Hussein, Z. T., Khalofah, A., Sadder, M. T., Qasem, J. R., Al-Khayri, J. M., Jain, S. M., & Almehemdi, A. F. (2022). Epigenetic variation as a new plant breeding tool: A review. Journal of King Saud University ‒ Science, 34(8), 102302. DOI:10.1016/J.JKSUS.2022.102302.
]Search in Google Scholar
[
Bancal, P. (2008). Positive contribution of stem growth to grain number per spike in wheat. Field Crops Research, 105(1 – 2), 27 – 39. DOI:10.1016/J.FCR.2007.06.008.
]Search in Google Scholar
[
Bhandari, R., Paudel, H., Nyaupane, S., & Poudel, M. R. (2024). Climate resilient breeding for high yields and stable wheat (Triticum aestivum L.) lines under irrigated and abiotic stress environments. Plant Stress, 11, 100352. DOI:10.1016/J.STRESS.2024.100352.
]Search in Google Scholar
[
FAOSTAT (2023). Food and Agriculture Data. Production ‒ Crops and Livestock Products. Available at: https://www.fao.org/faostat/en/#data [Accessed 12 June 2023].
]Search in Google Scholar
[
Gauch, H. G., Piepho, H. P. & Annicchiarico, P. (2008). Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Science, 48(3), 866 – 889. DOI:10.2135/cropsci2007.09.0513.
]Search in Google Scholar
[
Geneti, G. S., Kebede, S. A. & Mekonnen, T. B. (2022). Genetic variability and association of traits in bread wheat (Triticum aestivum L.) genotypes in Gechi district, South West Ethiopia. Advances in Agriculture, 2022. DOI:10.1155/2022/7132424.
]Search in Google Scholar
[
Hashem, L. F. & Al-Issawi, M. H. (2023). Chlorophyll content variation in wheat genotypes planted in semi-arid region. IOP Conference Series: Earth and Environmental Science, 1252(1), 012025. DOI:10.1088/1755-1315/1252/1/012025.
]Search in Google Scholar
[
Kebede, G., Worku, W., Jifar, H., & Feyissa, F. (2023). GGE biplot analysis of genotype by environment interaction and grain yield stability of oat (Avena sativa L.) in Ethiopia. Agrosystems, Geosciences & Environment, 6(3), e20410. DOI:10.1002/AGG2.20410.
]Search in Google Scholar
[
Krishnamurthy, S. L., Sharma, P. C., Sharma, D. K., Singh, Y. P., Mishra, V. K., Burman, D., Maji, B., Mandal, S., Sarangi, S. K., Gautam, R. K., Singh, P. K., Manohara, K. K., Marandi, B. C., Chattopadhyay, K., Padmavathi, G., Vanve, P. B., Patil, K. D., Thirumeni, S., Verma, O. P., et al. (2021). Additive main effects and multiplicative interaction analyses of yield performance in rice genotypes for general and specific adaptation to salt stress in locations in India. Euphytica, 217(2), 1 – 15. DOI:10.1007/S10681-020-02730-7/FIGURES/4.
]Search in Google Scholar
[
Mansoor, M. L., Al-Issawi, M. H. & Mhmood, J. N. (2021). Estimation of DREB gene expression in wheat genotypes (Triticum aestivum L.) introduced to Anbar governorate under Water Stress. IOP Conference Series: Earth and Environmental Science, 761(1), 2021. DOI:10.1088/1755-1315/761/1/012072.
]Search in Google Scholar
[
Olivoto, T. & Lúcio, A. D. C. (2020). metan: An R package for multi-environment trial analysis. Methods in Ecology and Evolution, 11(6), 783 – 789. DOI:10.1111/2041-210X.13384.
]Search in Google Scholar
[
Olivoto, T., Lúcio, A. D. C., da Silva, J. A. G., Marchioro, V. S., de Souza, V. Q., & Jost, E. (2019a). Mean performance and stability in multi-environment trials i: Combining features of AMMI and BLUP techniques. Agronomy Journal, 111(6), 2949 – 2960. DOI:10.2134/AGRONJ2019.03.0220.
]Search in Google Scholar
[
Olivoto, T., Lúcio, A. D. C., da Silva, J. A. G., Sari, B. G., & Diel, M. I. (2019b). Mean performance and stability in multi-environment trials II: Selection based on multiple traits. Agronomy Journal, 111(6), 2961 – 2969. DOI:10.2134/AGRONJ2019.03.0221.
]Search in Google Scholar
[
Scott, W. R. & Langer, R. H. M. (1977). A comparison of the pattern of grain set in ‘Aotea’ and ‘Karamu’ wheat. New Zealand Journal of Agricultural Research, 20(3), 357 – 361. DOI:10.1080/00288233.1977.10427347.
]Search in Google Scholar
[
Swarup, S., Cargill, E. J., Crosby, K., Flagel, L., Kniskern, J., & Glenn, K. C. (2021). Genetic diversity is indispensable for plant breeding to improve crops. Crop Science, 61(2), 839 – 852. DOI:10.1002/CSC2.20377.
]Search in Google Scholar
[
Wang, Y., Peng, Y., Lin, J., Wang, L., Jia, Z., & Zhang, R. (2023). Optimal nitrogen management to achieve high wheat grain yield, grain protein content, and water productivity: A meta-analysis. Agricultural Water Management, 290, 108587. DOI:10.1016/J.AGWAT.2023.108587.
]Search in Google Scholar
[
Yan, W. & Kang, M. S. (2002). GGE Biplot Analysis. In GGE Biplot Analysis. CRC Press. DOI:10.1201/9781420040371.
]Search in Google Scholar
[
Yan, W., Kang, M. S., Ma, B., Woods, S., & Cornelius, P. L. (2007). GGE biplot vs. AMMI analysis of geno-type-by-environment data. Crop Science, 47(2), 643 – 653. DOI:10.2135/CROPSCI2006.06.0374.
]Search in Google Scholar
[
Yan, W. & Tinker, N. A. (2005). An integrated biplot analysis system for displaying, interpreting, and exploring genotype × environment interaction. Crop Science, 45(3), 1004 – 1016. DOI:10.2135/CROPSCI2004.0076.
]Search in Google Scholar
[
Yan, W. & Tinker, N. A. (2011). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science, 86(3), 623 – 645. DOI:10.4141/P05-169.
]Search in Google Scholar
[
Zadoks, J. C., Chang, T. T. & Konzak, C. F. (1974). A decimal code for the growth stages of cereals. Weed Research, 14(6), 415 – 421. DOI:10.1111/j.1365-3180.1974.tb01084.x.
]Search in Google Scholar
