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References
|
Abate T, Alene AD, Bergvinson D, Shiferaw B, Silim S, Orr A, Asfaw S (2012). Tropical grain legumes in Africa and South Asia: knowledge and opportunities. Nairobi, Kenya: International Crops Research Institute for the Semi-Arid Tropics. 112 pp. |
|
|
Ahakpaz F, Abdi H, Neyestani E, Hesami A, Mohammadi B, Mahmoudi KN, Abedi-Asl G, Noshabadi MRJ, Ahakpaz F, Alipour H (2021). Genotype-by-environment interaction analysis for grain yield of barley genotypes under dryland conditions and the role of monthly rainfall. Agricultural Water Management 245(12):2020. |
|
|
Atnaf M, Kidane S, Abadi S, Fisha Z (2013). GGE biplots to analyze soybean multi-environment yield trial data in north Western Ethiopia. Journal of Plant Breeding and Crop Science 5(12):245-254. |
|
|
Baraki F, Gebregergis Z, Belay Y, Berhe M, Teame G, Hassen M, Gebremedhin Z, Abadi A, Negash W, Atsbeha A, Araya G (2020). Multivariate analysis for yield and yield-related traits of sesame (Sesamum indicum L.) genotypes. Heliyon 6(10):e05295. |
|
|
Bernardo R (2020). Reinventing quantitative genetics for plant breeding: something old, something new, something borrowed, something BLUE. Heredity 125:6. |
|
|
Bhartiya A, Aditya JP, Kumari V, Kishore N, Purwar JP, Agrawal A, Kant L (2018). Stability analysis of soybean [Glycine max (L.) Merrill] genotypes under multi-environments rainfed condition of North Western Himalayan hills. Indian Society of Genetics and Plant Breeding 78(3):342-347. |
|
|
Bianchi MC, Bruzi AT, Soares IO, Ribeiro FDO, Gesteira GDS (2020). Heritability and the genotype × environment interaction in soybean. Agrosystems, Geosciences and Environment 3(1):1-10. |
|
|
FAOSTAT (2019). Agriculture Organization of the United Nations Statistics Division (2018). |
|
|
Frutos E, Galindo MP, Leiva V (2014). An interactive biplot implementation in R for modeling genotype-by-environment interaction. Stochastic Environmental Research and Risk Assessment 28(7):1629-1641. |
|
|
Gauch HG, Piepho HP, Annicchiarico P (2008). Statistical analysis of yield trials by AMMI and GGE: Further considerations. Crop Science 48(3):866-889. |
|
|
Gurmu F, Hussein S, Laing M (2017). Genotype-by-environment interaction and stability of sweetpotato genotypes for root dry matter, β-carotene and fresh root yield. Open Agriculture 2(1):473-485. |
|
|
Hoyos-Villegas V, O'Connor JR, Heslop AD, Hilditch A, Jahufer MZZ, Barrett BA (2019). Rate of genetic gain for persistence to grazing and dry matter yield in white clover across 90 years of cultivar development. Crop Science 59(2):537-552. |
|
|
Hoyos-Villegas V, Wright EM, Kelly JD (2016). GGE biplot analysis of yield associations with root traits in a mesoamerican bean diversity panel. Crop Science 56(3):1081-1094. |
|
|
Kawuki RS, Adipala E, Tukamuhabwa P (2003). Yield Loss Associated with Soya Bean Rust (Phakopsora pachyrhizi Syd.) in Uganda. Journal of Phytopathology 151(1):7-12. |
|
|
Krisnawati A, Muchlish Adie M (2017). Characterization and performance of agronomic characters of soybean genotypes resistant to pod shattering. Biodiversitas 18(3):1158-1164. |
|
|
Kumudini S (2010). Soybean growth and development. The Soybean: Botany, Production and Uses pp. 48-73. |
|
|
Li M, Liu Y, Wang C, Yang X, Li D, Zhang X, Xu C, Zhang Y, Li W, Zhao L (2020). Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes. Frontiers in Plant Science 10(1):1-14. |
|
|
Luo J, Pan YB, Que Y, Zhang H, Grisham MP, Xu L (2015). Biplot evaluation of test environments and identification of mega-environment for sugarcane cultivars in China. Scientific Reports 5(9):1-11. |
|
|
Manda N, Maata M (2020). Responses of soybeans (Glycine max (L.) Merrill) associated with variable plant density stress applied at different phenological stages: Plasticity or elasticity? African Journal of Biotechnology 19(6):307-319. |
|
|
Merrick LF, Lyon SR, Balow KA, Murphy KM, Jones SS, Carter AH (2020). Utilization of evolutionary plant breeding increases stability and adaptation of winter wheat across diverse precipitation zones. Sustainability (Switzerland) 12(22):1-23. |
|
|
Mwiinga B, Sibiya J, Kondwakwenda A, Musvosvi C, Chigeza G (2020). Genotype x environment interaction analysis of soybean (Glycine max (L.) Merrill) grain yield across production environments in Southern Africa. Field Crops Research 256(5):107922. |
|
|
Olivoto T, Lúcio ADC (2020). metan: An R package for multi-environment trial analysis. Methods in Ecology and Evolution 11(6):783-789. |
|
|
Patil G, Vuong TD, Kale S, Valliyodan B, Deshmukh R, Zhu C, Wu X, Bai Y, Yungbluth D, Lu Y, Kumpatla S, Shannon JG, Varshney RK, Nguyen HT (2018). Dissecting genomic hotspots underlying seed protein, oil, and sucrose content in an interspecific mapping population of soybean using high-density linkage mapping. Plant Biotechnology Journal 16(11):1939-1953. |
|
|
Rakshit S, Ganapathy KN, Gomashe SS, Rathore A, Ghorade RB, Kumar MVN, Ganesmurthy K, Jain SK, Kamtar MY, Sachan JS, Ambekar SS, Ranwa BR, Kanawade DG, Balusamy M, Kadam D, Sarkar A, Tonapi VA, Patil JV (2012). GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica 185(3):465-479. |
|
|
Reynolds MP, Calderini DF, Condon AG, Rajaram S (2001). Physiological basis of yield gains in wheat associated with the Lr19 translocation from Agropyron elongatum. Euphytica 119(1):137-141. |
|
|
Shahriari Z, Heidari B, Dadkhodaie A (2018). Dissection of genotype × environment interactions for mucilage and seed yield in Plantago species: Application of AMMI and GGE biplot analyses. In PLoS ONE 13(5):e0196095. |
|
|
Sulistyo A, Purwantoro, Sari KP (2018). Correlation, path analysis and heritability estimation for agronomic traits contribute to yield on soybean. IOP Conference Series: Earth and Environmental Science 102(1). |
|
|
Temesgen T, Keneni G, Sefera T, Jars M (2015). Yield stability and relationships among stability parameters in faba bean (Vicia faba L.) genotypes. Crop Journal 3(3):258-268. |
|
|
Vaezi B, Pour-Aboughadareh A, Mohammadi R, Armion M, Mehraban A, Hossein-Pour T, Dorii M (2017). GGE Biplot and AMMI analysis of barley yield performance in Iran. Cereal Research Communications 45(3):500-511. |
|
|
Woods SJ, Swearingin ML (1977). Influence of Simulated Early Lodging upon Soybean Seed Yield and its Components. Agronomy Journal 69(2):239-242. |
|
|
Yan W (2019). LG biplot: a graphical method for mega-environment investigation using existing crop variety trial data. Scientific Reports 9(1):1-8. |
|
|
Yan W, Kang MS (2003). GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC Press. |
|
|
Yan W, Kang MS, Ma B, Woods S, Cornelius PL (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science 47(2):643-655. |
|
|
Yan W, Tinker NA (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science 86(3):623-645. |
|
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