Full Length Research Paper
References
Akcura M, Taner S, Kaya Y (2011). Evaluation of bread wheat genotypes under irrigated multi-environment conditions using GGE biplot analyses. Agriculture 98(1):35-40. |
|
Alberts MJA (2004). A comparison of statistical methods to describe genotype 9 environment interaction and yield stability in multi-location maize trials. Doctoral Thesis, University of the Free State, Bloemfontein, South Africa. |
|
Aly RS, Metwali EMR, Mousa STM (2011). Combining ability of maize (Zea mays L.) inbred lines for grain yield and some agronomic traits using top cross mating design. International Journal of Molecular Sciences 6:1-8. |
|
Babic VB, Babic MM, Ivanovic MR, Filipovic MR (2011). The pattern in interaction in the maize yield trial. The Journal of Agricultural Science 56(2):101-110. |
|
Balamurugan P, Balasubramanian V (2017). Challenges and opportunities for increasing rice production in Sub-Saharan African Journal of Agricultural Research 4:1-10. |
|
Balcha U, Mengistu G, Gerema G, Bayisa T, Feyisa H, Dinsa T, Chala G, Letta T, Jobe T (2022). Genotype x Environment Interaction an Stability Analysis of Bread Wheat (Triticum aestivum L) Varieties under irrigation for mid to Highland Ecological Zones of Oromia. Global Scientifc Journal 10(8):422-437. |
|
Begna T (2021). Combining ability and heterosis in plant improvement. Open Journal of Plant Science 6(1):108-117. |
|
Bhakta N, Das SR (2008). Phenotypic stability for grain yield in rice. ORYZA-An International Journal on Rice 45(2):115-119. |
|
Bose LK, Jambhulkar NN, Singh ON (2014). Additive main effects and multiplicative interaction (AMMI) analysis of grain yield stability in early duration rice. Journal of Animal and Plant Sciences 24(6):1885-1897. |
|
Cooper M, Voss-Fels KP, Messina CD, Tang T, Hammer GL (2021). Tackling G× E× M interactions to close on-farm yield-gaps: creating novel pathways for crop improvement by predicting contributions of genetics and management to crop productivity. Theoretical and Applied Genetics 134:1625-1644. |
|
Crossa J (1990). Statistical analyses of multilocation trials. Advances in Agronomy 44:55-85. |
|
Das S, Misra RC, Patnaik MC, Das SR (2010). GxE interaction, adaptability and yield stability of mid-early rice genotypes. Indian journal of agricultural research 44(2):104-111. |
|
Dehghani H, Sabaghnia N, Moghaddam M (2009). Interpretation of genotype-by-environment interaction for late maize hybrids' grain yield using a biplot method. Turkish Journal of Agriculture 33:139-148. |
|
Djurovic D, Madic M, Bokan N, Stevovic V, Tomic D, Tanaskovic S (2014). Stability parameters for grain yield and its component traits in maize hybrids of different FAO maturity groups. Journal of Central European Agriculture15:199-212. |
|
Finlay KW, Wilkinson GN (1963). The analysis of adaptation in a plant breeding programme. Australian Jounal of Agricultural research 14:742-754. |
|
Fukagawa NK, Ziska LH (2019). Rice: Importance for Global Nutrition. Journal of Nutritional Science and Vitaminology 65:S2-S3. |
|
Gauch HG, Piepho HP, Annicchiarico P (2008). Statistical analysis of yield trials by AMMI and GGE: further considerations. Crop Science 48:866-889. |
|
Gauchi HG (1993). Prediction, parsimony and noise. Animal Science 81:468-478. |
|
Gerrano AS, Jansen van Rensburg WS, Mathew I (2020). Genotype and genotype × environment interaction effects on the grain yield performance of cowpea genotypes in dryland farming system in South Africa. Euphytica 216:80. |
|
Hallauer AR, Miranda JB (1988). Quantitative genetics in maize breeding. Springer, New York. |
|
Kandus M, Almorza D, Ronceros RB, Salerno JC (2010). Statistical models for evaluating the genotype-environment interaction in maize (Zea mays L.). Journal of Experimental Botany 79:39-46. |
|
Kaya Y, Akcura M, Taner S (2006). GGE-biplot analysis of multi-environment yield trials in bread wheat. Turkish Journal of Agriculture 30:325-337. |
|
Mitrovia B, Treski S, Stojakovia˜ M, Ivanovia M, Bekavac G (2012). Evaluation of exper?mental maize hybrids tested in multi-location trials using AMMI and GGE biplot analyses. Turkish Journal of Field Crops 17(1):35-40. |
|
Mukherjee AK, Mohapatra NK, Bose LK, Jambhulkar NN, Nayak P (2013). Additive main effects and multiplicative interaction (AMMI) analysis of GxE interactions in rice-blast pathosystem to identify stable resistant genotypes. African Journal of Agricultural Research 8(44):5492-5507. |
|
Nzuve F, Githiri S, Mukunya DM, Gethi J (2013). Analysis of genotype x environment interaction for grain yield in maize hybrids. The Journal of Agricultural Science 5:1175-1185. |
|
Osman KA, Abdalla SM, Ismail AI, Lee SB, Mohamed AE, Yousif SA, Ahmed YM (2022). Yield Stability and Adaptability of Elite Doubled Haploid (DH) Rice Genotypes in Different Locations in Central Clay Plains of the Sudan. American Journal of Plant Sciences 13:1282-1295. |
|
Payne RW, Murray DA, Harding SA (2017). An Introduction to the GenStat Command Language, 18th ed.; VSN International: Hemel Hempstead, UK. |
|
Qui J, Zhou Y, Mao L, Ye C, Wang W, Zhang J, Yu Y, Fu F, Wang Y, Qian F (2017). Genomic variation associated with local adaptation of weedy rice during de-domestication. National Community 8:15323. |
|
Santos AD, Ceccon G, Rodrigues EV, Teodoro PE, Correa AM, Alvarez R (2017). Selection of cowpea genotypes for Mato Grosso do Sul via GGE Biplot and linear regression. Embrapa Agropecuária Oeste-Artigo em periódico indexado (ALICE). |
|
Silva JAC, Carneirol VQ, Santos I, Costa WG (2020). Methods of Adaptability and Stability Applied to the Improvement of Flooded Rice. Genetics and Molecular Research 19:18434. |
|
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 45:500-511. |
|
Vigueira CC, Qi X, Song BK, Li LF, Caicedo AL, Jia Y, Olsen KM (2019). Call of the wild rice: Oryza rufipogon shapes weedy rice evolution in Southeast Asia. Evolutionary Applications 12:93-104. |
|
Wing RA, Purugganan MD, Zhang Q (2018). The rice genome revolution: From an ancient grain to Green Super Rice. Nature Reviews Genetics 19:505-517. |
|
Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000). Cultivar evaluation and mega environment investigation based on the GGE biplot. Crop Science 40:597-605. |
|
Yan W, Kang MS (2003). GGE biplot Analysis: a Graphical Tool for Breeders, Geneticists and Agronomists CRC Press LLC: Boca Roton, Florida Crop Breeding Journal 3:127-132. |
|
Yan W, Rajcan I (2002). Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science 42(1):11-20. |
|
Yan W, Tinker NA (2006). Biplot analysis of multi-environment trial data: principles and applications. Canadian Journal of Plant Science 86(3):623-645. |
|
Zaidi PH, Maniselvan P, Sultana R, Yadav M, Singh RP, Singh SB, Dass S, Srinivasan G (2007). Importance of secondary traits in the improvement of maize (Zea mays L.) for enhancing tolerance to excessive soil moisture stress. Research Communication 35(3):1427-1435. |
Copyright © 2025 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0