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References
- Al-Hasanie, L. N. H., & Al-Maadhedi, A. D. (2017). Influence of irrigation periods and organic fertilizer on soil physical characterization under the system of rice intensification (SRI). Iraqi Journal of Agricultural Sciences, 48(3).
- https://doi.org/10.36103/ijas.v48i3.397
- Ali, M. I., Islam, M. A., Islam, M. M., Islam, M. S., Rouf, M. A., & Mehedi, N. H. (2019). Effect of transplanting dates on yield and yield components of nerica rice mutants at drought prone areas of Bangladesh. Asian Journal of Agricultural and Horticultural Research, 3(4), 1-6.
- https://doi.org/10.9734/ajahr/2019/v3i430006
- Awad-Allah, M. M. A., Mohamed, A. H., El-Bana, M. A., El-Okkiah, S. A. F., Abdelkader, M. F. M., Mahmoud, M. H., El-Diasty, M. Z., Said, M. M., Shamseldin, S. A. M., & Abdein, M. A. (2022). Assessment of genetic variability and bran oil characters of new developed restorer lines of Rice (Oryza sativa L.). Genes (Basel), 13(3), 509.
- https://doi.org/10.3390/genes13030509
- Bernardo, R. (2020). Reinventing quantitative genetics for plant breeding: something old, something new, something borrowed, something blue. Heredity, 125(6), 375-385.
- https://doi.org/10.1038/s41437-020-0312-1
- Bhargava, A., & Srivastava S. (2019). Participatory Plant Breeding: Concept and Applications. Springer; Singapore, 247pp.
- https://link.springer.com/book/10.1007/978-981-13-7119-6
- Central Statistical Organization (2021). Rice and sunflower production. Directorate of Agricultural Statistics, Ministry of Planning, Iraq – Baghdad. (In Arabic).
- https://cosit.gov.iq/ar/agri-stat/veg-prod
- Chakrabarty, T., Islam, M., Akter, N., & Khalequzzaman, M. (2020). Variability, traits association and path coefficient of yield and yield contributing traits of selected boro rice (Oryza sativa L.) germplasm. SAARC Journal of Agriculture, 17(2), 103-115.
- https://doi.org/10.3329/sja.v17i2.45298
- Debsharma, S., Roy, P., Begum, R., & Iftekharuddaula, K. (2021). Elucidation of genotype × environment interaction for identification of stable genotypes to grain yield of rice (Oryza sativa L.) varieties in Bangladesh rainfed condition. Bangladesh Rice Journal, 24(1), 59-71.
- https://doi.org/10.3329/brj.v24i1.53240
- Duvallet, M., Dumas, P., Makowski, D., Boé, J., del Villar, P., & Ben-Ari, T. (2021). Rice yield stability compared to major food crops in West Africa. Environmental Research Letters, 16(12), 124005.
- https://iopscience.iop.org/article/10.1088/1748-9326/ac343a
- Eberhart, S. A., & Russell, W. A. (1966). Stability parameters for comparing varieties 1,” Crop Science, 6(1), 36–40.
- https://doi.org/10.2135/cropsci1966.0011183x000600010011x
- FAOSTAT (2021). Grain Production Worldwide By Type. Food and Agricultural Organization of the United Nations. (Accessed: 23/12/2022).
- https://www.statista.com/statistics/263977/World - grain- production-by-type /
- Hade, H. F., H., Midhas, A. A., & Abd Alfarach, D. M. (2021). Problems which were facing the local rice crop farmers in Agra region and its relationship with some variables. Tikrit Journal for Agricultural Sciences, 21(1), 113-122.
- https://doi.org/10.25130/tjas.21.1.11
- Hasan, N., Rafii, M. Y., Harun, A. R., Alı, N. S., Mazlan, N., & Abdullah, S. (2022). Genetic analysis of yield and yield contributing traits in rice (Oryza sativa L.) BC2F3 population derived from MR264 × PS2. Biotechnology & Biotechnological Equipment, 36(1), 184-192.
- https://doi.org/10.1080/13102818.2022.2060760
- Ireland, C. R. (2010). Experimental Statistics for Agriculture and Horticulture. Modular texts, CAB International, British Library, London, 380pp.
- https://www.sandbarbookstore.com/book/9781845935375
- Jaruchai, W., Monkham, T., Chankaew, S., Suriharn, B. & Sanitchon, J. (2018). Evaluation of stability and yield potential of upland rice genotypes in North and Northeast Thailand. Journal of Integrative Agriculture, 17(1), 28-36.
- https://doi.org/10.1016/S2095-3119(16)61609-X
- Fehr, W. R. (1991) “Principles of Cultivar Development, vol. 1, theory and technique. Iowa State University, Digital Repository, 536pp.
- Kumar, B., Purushottam, A., Raghavendra, P., Vittal, T., Shubha, K., & Madhuri, R. (2020). Genotype environment interaction and stability for yield and its components in advanced breeding lines of red rice (Oryza sativa L.). Bangladesh Journal of Botany, 49(3), 425-435.
- https://doi.org/10.3329/bjb.v49i3.49328
- Lakew, T., Dessie, A., Asrat, B., Berie, A., Tewachew, A., Abebe, D., & Solomon, H. (2021). Stability and performance assessment in 18 short-duration rice genotypes under rain fed lowland production conditions of Ethiopia. Journal of Environment and Earth Science, 11(7), 10-20.
- https://doi.org/10.7176/jees/11-7-02
- Maji, A. T., Bashir, M., Odoba, A., Gbanguba, A. U. and Audu, S. D. (2015). Genotype × environment interaction and stability estimate for grain yield of upland rice genotypes in Nigeria. Rice Research: Open Access, 03(02).
- https://doi.org/10.4172/2375-4338.1000136
- Meena, H., Kumar, D., Srivastava, T., & Prasad, S. R. (2016). Stability of Popular Rice Hybrids for Important Grain Yield Parameters. Indian Journal of Plant Genetic Resources, 29(2), 144.
- https://doi.org/10.5958/0976-1926.2016.00020.6
- Musa A. J., Abbas, S. H., & Hameed, K. A. (2021). Performance of two rice (Oryza sativa L.) genotypes under sri and conventional farming methods in three locations in Iraq. Fourth International Conference for Agricultural and Sustainability Sciences, 910(1), 1315-1755.
- https://doi.org/10.1088/1755-1315/910/1/012138
- Muthayya, S., Sugimoto, J., Montgomery, S., & Maberly, G. (2014). An overview of global rice production, supply, trade, and consumption. Annals of the New York Academy of Sciences, 1324(1), 7-14.
- https://doi.org/10.1111/nyas.12540
- Pandey, V., Singh, S. K., Korada, M., Singh, D. K., Khaire, A. R., Habde, S., & Majhi, P. K. (2020). Stability analysis in rice (Oryza sativa L.) genotypes with high grain zinc. Indian Journal of Agricultural Research, A-5353, 1-10.
- https://doi.org/10.18805/ijare.a-5353
- Prajapati, M. R., Madhu Bala, V. P., Patel, R. K. Patel, U. S. Sushmitha, A. D., Kyada, D. P., Patel, J. P., & Sriramkumar, B. (2022). Analysis of genetic variability and correlation for yield and it’s attributing traits in f2 population of rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 13(3).
- https://doi.org/10.37992/2022.1303.127
- Priyanka, K., & Jaiswal, H. K. (2017). Genetic Analysis of yield and yield contributing traits in boro rice (Oryza sativa L.) over environments. Bangladesh Journal of Agricultural Research, 42(3), 457–466.
- https://doi.org/10.3329/bjar.v42i3.34504
- Ray, D., Gerber, J., MacDonald, G., & West, P. (2015). Climate variation explains a third of global crop yield variability. Nature Communications, 6, 5989.
- https://doi.org/10.1038/ncomms6989
- Singh, R. K., & Chaudhary, B. D. (2010). Biometrical methods in quantitative genetic Analysis. Kalyani Publishers, New Delhi, 304pp.
- https://www.cabdirect.org/cabdirect/abstract/19801689021
- Singh, S. K., Behera, P. P., Singh, D. K., Korada, M., Habde, S. V., & Khaire, A. (2020). Stability analysis of rice (Oryza sativa L.) genotypes with high grain zinc in five different locations of Eastern Uttar Pradesh. Current Journal of Applied Science and Technology, 39(34), 123-135.
- https://doi.org/10.9734/cjast/2020/v39i3431042
- Sultana, A., Shaikh, N., Zahan, M., Badshah, M., Akter, R., & Issak, M. (2020). Effect of transplanting date on growth and yield of advanced lines of transplanted aman rice. Research in Agriculture Livestock and Fisheries, 7(1), 1-7.
- https://doi.org/10.3329/ralf.v7i1.46825
- Zaid, I. U., Zahra, N., Habib, M., Naeem, M. K., Asghar, U., Uzair, M., Latif, A., Rehman, A., Ali, G. M., & Khan, M. R. (2022). Estimation of genetic variances and stability components of yield-related traits of green super rice at multi-environmental conditions in Pakistan. Agronomy, 12, 1157.
- https://doi.org/10.3390/agronomy12051157
- Zulkifli, Z., Bejo, S. K., Muharam, F. M., Yule, I., Pullanagari, R., Dan, L., & Abdulllah, W. N. Z. Z. (2021). Biomass and yield estimation of MR219 and MR220 of paddy varieties using terrestrial laser scanning data. Basrah Journal of Agricultural Sciences, 34(Special Issue 1), 54–62.
- https://doi.org/10.37077/25200860.2021.34.sp1.6
References
Al-Hasanie, L. N. H., & Al-Maadhedi, A. D. (2017). Influence of irrigation periods and organic fertilizer on soil physical characterization under the system of rice intensification (SRI). Iraqi Journal of Agricultural Sciences, 48(3).
https://doi.org/10.36103/ijas.v48i3.397
Ali, M. I., Islam, M. A., Islam, M. M., Islam, M. S., Rouf, M. A., & Mehedi, N. H. (2019). Effect of transplanting dates on yield and yield components of nerica rice mutants at drought prone areas of Bangladesh. Asian Journal of Agricultural and Horticultural Research, 3(4), 1-6.
https://doi.org/10.9734/ajahr/2019/v3i430006
Awad-Allah, M. M. A., Mohamed, A. H., El-Bana, M. A., El-Okkiah, S. A. F., Abdelkader, M. F. M., Mahmoud, M. H., El-Diasty, M. Z., Said, M. M., Shamseldin, S. A. M., & Abdein, M. A. (2022). Assessment of genetic variability and bran oil characters of new developed restorer lines of Rice (Oryza sativa L.). Genes (Basel), 13(3), 509.
https://doi.org/10.3390/genes13030509
Bernardo, R. (2020). Reinventing quantitative genetics for plant breeding: something old, something new, something borrowed, something blue. Heredity, 125(6), 375-385.
https://doi.org/10.1038/s41437-020-0312-1
Bhargava, A., & Srivastava S. (2019). Participatory Plant Breeding: Concept and Applications. Springer; Singapore, 247pp.
https://link.springer.com/book/10.1007/978-981-13-7119-6
Central Statistical Organization (2021). Rice and sunflower production. Directorate of Agricultural Statistics, Ministry of Planning, Iraq – Baghdad. (In Arabic).
https://cosit.gov.iq/ar/agri-stat/veg-prod
Chakrabarty, T., Islam, M., Akter, N., & Khalequzzaman, M. (2020). Variability, traits association and path coefficient of yield and yield contributing traits of selected boro rice (Oryza sativa L.) germplasm. SAARC Journal of Agriculture, 17(2), 103-115.
https://doi.org/10.3329/sja.v17i2.45298
Debsharma, S., Roy, P., Begum, R., & Iftekharuddaula, K. (2021). Elucidation of genotype × environment interaction for identification of stable genotypes to grain yield of rice (Oryza sativa L.) varieties in Bangladesh rainfed condition. Bangladesh Rice Journal, 24(1), 59-71.
https://doi.org/10.3329/brj.v24i1.53240
Duvallet, M., Dumas, P., Makowski, D., Boé, J., del Villar, P., & Ben-Ari, T. (2021). Rice yield stability compared to major food crops in West Africa. Environmental Research Letters, 16(12), 124005.
https://iopscience.iop.org/article/10.1088/1748-9326/ac343a
Eberhart, S. A., & Russell, W. A. (1966). Stability parameters for comparing varieties 1,” Crop Science, 6(1), 36–40.
https://doi.org/10.2135/cropsci1966.0011183x000600010011x
FAOSTAT (2021). Grain Production Worldwide By Type. Food and Agricultural Organization of the United Nations. (Accessed: 23/12/2022).
https://www.statista.com/statistics/263977/World - grain- production-by-type /
Hade, H. F., H., Midhas, A. A., & Abd Alfarach, D. M. (2021). Problems which were facing the local rice crop farmers in Agra region and its relationship with some variables. Tikrit Journal for Agricultural Sciences, 21(1), 113-122.
https://doi.org/10.25130/tjas.21.1.11
Hasan, N., Rafii, M. Y., Harun, A. R., Alı, N. S., Mazlan, N., & Abdullah, S. (2022). Genetic analysis of yield and yield contributing traits in rice (Oryza sativa L.) BC2F3 population derived from MR264 × PS2. Biotechnology & Biotechnological Equipment, 36(1), 184-192.
https://doi.org/10.1080/13102818.2022.2060760
Ireland, C. R. (2010). Experimental Statistics for Agriculture and Horticulture. Modular texts, CAB International, British Library, London, 380pp.
https://www.sandbarbookstore.com/book/9781845935375
Jaruchai, W., Monkham, T., Chankaew, S., Suriharn, B. & Sanitchon, J. (2018). Evaluation of stability and yield potential of upland rice genotypes in North and Northeast Thailand. Journal of Integrative Agriculture, 17(1), 28-36.
https://doi.org/10.1016/S2095-3119(16)61609-X
Fehr, W. R. (1991) “Principles of Cultivar Development, vol. 1, theory and technique. Iowa State University, Digital Repository, 536pp.
Kumar, B., Purushottam, A., Raghavendra, P., Vittal, T., Shubha, K., & Madhuri, R. (2020). Genotype environment interaction and stability for yield and its components in advanced breeding lines of red rice (Oryza sativa L.). Bangladesh Journal of Botany, 49(3), 425-435.
https://doi.org/10.3329/bjb.v49i3.49328
Lakew, T., Dessie, A., Asrat, B., Berie, A., Tewachew, A., Abebe, D., & Solomon, H. (2021). Stability and performance assessment in 18 short-duration rice genotypes under rain fed lowland production conditions of Ethiopia. Journal of Environment and Earth Science, 11(7), 10-20.
https://doi.org/10.7176/jees/11-7-02
Maji, A. T., Bashir, M., Odoba, A., Gbanguba, A. U. and Audu, S. D. (2015). Genotype × environment interaction and stability estimate for grain yield of upland rice genotypes in Nigeria. Rice Research: Open Access, 03(02).
https://doi.org/10.4172/2375-4338.1000136
Meena, H., Kumar, D., Srivastava, T., & Prasad, S. R. (2016). Stability of Popular Rice Hybrids for Important Grain Yield Parameters. Indian Journal of Plant Genetic Resources, 29(2), 144.
https://doi.org/10.5958/0976-1926.2016.00020.6
Musa A. J., Abbas, S. H., & Hameed, K. A. (2021). Performance of two rice (Oryza sativa L.) genotypes under sri and conventional farming methods in three locations in Iraq. Fourth International Conference for Agricultural and Sustainability Sciences, 910(1), 1315-1755.
https://doi.org/10.1088/1755-1315/910/1/012138
Muthayya, S., Sugimoto, J., Montgomery, S., & Maberly, G. (2014). An overview of global rice production, supply, trade, and consumption. Annals of the New York Academy of Sciences, 1324(1), 7-14.
https://doi.org/10.1111/nyas.12540
Pandey, V., Singh, S. K., Korada, M., Singh, D. K., Khaire, A. R., Habde, S., & Majhi, P. K. (2020). Stability analysis in rice (Oryza sativa L.) genotypes with high grain zinc. Indian Journal of Agricultural Research, A-5353, 1-10.
https://doi.org/10.18805/ijare.a-5353
Prajapati, M. R., Madhu Bala, V. P., Patel, R. K. Patel, U. S. Sushmitha, A. D., Kyada, D. P., Patel, J. P., & Sriramkumar, B. (2022). Analysis of genetic variability and correlation for yield and it’s attributing traits in f2 population of rice (Oryza sativa L.). Electronic Journal of Plant Breeding, 13(3).
https://doi.org/10.37992/2022.1303.127
Priyanka, K., & Jaiswal, H. K. (2017). Genetic Analysis of yield and yield contributing traits in boro rice (Oryza sativa L.) over environments. Bangladesh Journal of Agricultural Research, 42(3), 457–466.
https://doi.org/10.3329/bjar.v42i3.34504
Ray, D., Gerber, J., MacDonald, G., & West, P. (2015). Climate variation explains a third of global crop yield variability. Nature Communications, 6, 5989.
https://doi.org/10.1038/ncomms6989
Singh, R. K., & Chaudhary, B. D. (2010). Biometrical methods in quantitative genetic Analysis. Kalyani Publishers, New Delhi, 304pp.
https://www.cabdirect.org/cabdirect/abstract/19801689021
Singh, S. K., Behera, P. P., Singh, D. K., Korada, M., Habde, S. V., & Khaire, A. (2020). Stability analysis of rice (Oryza sativa L.) genotypes with high grain zinc in five different locations of Eastern Uttar Pradesh. Current Journal of Applied Science and Technology, 39(34), 123-135.
https://doi.org/10.9734/cjast/2020/v39i3431042
Sultana, A., Shaikh, N., Zahan, M., Badshah, M., Akter, R., & Issak, M. (2020). Effect of transplanting date on growth and yield of advanced lines of transplanted aman rice. Research in Agriculture Livestock and Fisheries, 7(1), 1-7.
https://doi.org/10.3329/ralf.v7i1.46825
Zaid, I. U., Zahra, N., Habib, M., Naeem, M. K., Asghar, U., Uzair, M., Latif, A., Rehman, A., Ali, G. M., & Khan, M. R. (2022). Estimation of genetic variances and stability components of yield-related traits of green super rice at multi-environmental conditions in Pakistan. Agronomy, 12, 1157.
https://doi.org/10.3390/agronomy12051157
Zulkifli, Z., Bejo, S. K., Muharam, F. M., Yule, I., Pullanagari, R., Dan, L., & Abdulllah, W. N. Z. Z. (2021). Biomass and yield estimation of MR219 and MR220 of paddy varieties using terrestrial laser scanning data. Basrah Journal of Agricultural Sciences, 34(Special Issue 1), 54–62.