Cotton (Gossypium hirsutum L.) is an important cash and natural fibre crop grown worldwide. The present study was performed to assess and identify superior cotton genotypes with high mean and stable performance across different environments. The experimental gross plot sizes used in the experiment comprised of six rows which are one meter apart and six meters long (6m x 6m = 36m2). Data was collected from a net plot which measured 4m x 4m (16m2). The combined analysis of variance (ANOVA) using Genstat 18th version was generated and manifested significant differences for tested genotypes (G), locations (L), years (Y), genotype × year (GY), and genotype × location (GL) and GxLxY interactions revealing higher influence by environmental factors on yield (P < 0.001). High TSC means were recorded for SZ-9523, 81-01-1 and SN-96-5, where the three candidates obtained 3045.62kgha-1, 2721.56kgha-1 and 2705kgha-1 respectively. AMMI ANOVA showed that two IPCAs (IPCA1 and IPCA2) out of four were highly significant (P ≤ 0.001), and they accounted for 60.4% and 31.9 respectively (92.3% of the GEI). GGE Showed that SZ-9523 recorded high yield means and was also very stable. Generally, both biplots revealed that SZ-9523, 81-01-2 and SN-96-5 were high mean performers across all sites, whilst SZ-9523 was the most stable, and ideal genotype. These candidates are recommended for commercial release in Zimbabwe as well as for use as for use as parents in future breeding programmes.
| Published in | Journal of Plant Sciences (Volume 12, Issue 1) |
| DOI | 10.11648/jps.20241201.16 |
| Page(s) | 36-42 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Cotton, MANOVA, AMMI, GGE, Stability, Genotype
| [1] | Ali M. B, El-Sadek A. N, Sayed M. A, and Hassaan M. A. AMMI bi-plot analysis of Genotype × environment interaction in wheat in egypt. Egypt. J. Plant Breed. 19(6): 1889–1901 (2015). |
| [2] | Darai R, Sarker A, Sah RP, Pokhrel K and Chaudhary R. AMMI Biplot Analysis for Genotype X Environment Interaction on Yield Trait of High Fe content Lentil Genotypes in Terai and Mid-Hill Environment of Nepal. Ann Agric Crop Sci. 2017; 2(1): 1026. |
| [3] | Darawsheh, Mohammed & Beslemes, Dimitrios & Kouneli, Varvara & Tigka, Evangellia & Bilalis, D. & Roussis, Ioannis & Karydogianni, Stella & Mavroeidis, Antonios & Triantafyllidis, Vassilios & Kosma, Chariklia & Zotos, Anastasios & Kakabouki, Ioanna. (2022). Environmental and Regional Effects on Fiber Quality of Cotton Cultivated in Greece. Agronomy. 12. 943. 10.3390/agronomy12040943. |
| [4] | Dedi Ruswandi, Muhammad Syafii, Noladhi Wicaksana, Haris Maulana, Mira Ariyanti, Nyimas Poppy Indriani, Edy Suryadi, Jajang Supriatna, and Yuyun Yuwariah. Evaluation of High Yielding Maize Hybrids Based on Combined Stability Analysis, Sustainability Index, and GGE Bi-plot. Hindawi BioMed Research International Volume 2022, Article ID 3963850, 12 pages. https://doi.org/10.1155/2022/3963850 |
| [5] | E. Farshadfar, M. Rashidi, M. M. Jowkar, and H. Zali, Euro J Exp Bio 3(1), pp. 417-423 (2013). |
| [6] | Esayas Tena, Frehiwot Goshu, Hussein Mohamad, Melaku Tesfa, Diribu Tesfaye & Abebech Seife | (2019) Genotype × environment interaction by AMMI and GGE-biplot analysis for sugar yield in three crop cycles of sugarcane (Saccharumofficinirum L.) clones in Ethiopia, Cogent Food & Agriculture, 5:1, 1651925, DOI: 10.1080/23311932.2019.1651925. |
| [7] | Farooq MA, Chattha WS, Shafique MS, Karamat U, Tabusam J, Zulfiqar S and Shakeel A (2023) Transgenerational impact of climatic changes on cotton production. Front. Plant Sci. 14:987514. doi: 10.3389/fpls.2023.987514. |
| [8] | Gauch, H. G., Jr. Model selection and validation for yield trials with interaction. Biometrics 1988, 44, 705–715. [CrossRef] |
| [9] | Mattos, P. H. C., Oliveira, R. A. J., Filho, C. B., Daros, E., & Veríssimo, M. A. A. (2013). Evaluation of sugarcane genotypes and production environments in Paraná by GGE biplot and AMMI analysis. Crop Breeding and Applied Biotechnology, 13, 83–90. doi: 10.1590/S1984-70332013000100010 [Crossref], [Web of Science ®], [Google Scholar] |
| [10] | Mare Marco, Chapepa Blessing, Mubvekeri Washington, Kutywayo Dumisani. Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models. Journal of Plant Sciences. Vol. 10, No. 4, 2022, pp. 130-138. doi: 10.11648/j.jps.20221004.11. |
| [11] | Pobkhunthod N, Authapun J, Chotchutima S, Rungmekarat S, Kittipadakul P, Duangpatra J and Chaisan T (2022) Multilocation Yield Trials and Yield Stability Evaluation by GGE Bi-plot Analysis of Promising Large-Seeded Peanut Lines. Front. Genet 13:876763. doi: 10.3389/gene.2022.876763. |
| [12] | RAZA Irum, HU Daowu, AHMAD Adeel, LI Hongge, HE Shoupu, NAZIR Mian Faisal, WANG Xiaoyang, JIA Yinhua, PAN Zhaoe, ZHANG Peng, YASIR Muhammad, IQBAL Muhammad Shahid, GENG Xiaoli, WANG Liru, PANG Baoyin and DU Xiongming Correlation analysis of stem hardness traits with fiber and yield-related traits in core collections of Gossypium hirsutum RAZA et al. Journal of Cotton Research (2021) 4:8 https://doi.org/10.1186/s42397-021-00082-8 |
| [13] | Santhosh B. and Yohan Y (2019) Abiotic stress responses of cotton: A review. nternational Journal of Chemical Studies 2019; 7 (6): 795-798. |
| [14] | Sholihin. GGE and AMMI Biplot for Interpreting Interaction of Genotype X Environments of Cassava Promising Genotypes. AIP Conference Proceedings 2331, 050006 (2021); https://doi.org/10.1063/5.0041787 |
| [15] | Yan, W. 2001. GGE Biplot- A Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron. J. 93: 1111-1118. |
| [16] | Yan, W. and M S. Kang (2003). GGE bi-plot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC press, Boca Raton, FL, U. S. A. |
| [17] | W. M. B, Yehia. (2021). Giza 97" A New Egyptian Long Staple Cotton Variety. 10.21608/ejar.2021.89116.1125b. |
APA Style
Marco, M., Washington, M. (2024). Yield Performance and Stability-Based Comparative Evaluation of Different Cotton (Gossypium hirsutum L.) Genotypes Under Diverse Environments of Zimbabwe. Journal of Plant Sciences, 12(1), 36-42. https://doi.org/10.11648/jps.20241201.16
ACS Style
Marco, M.; Washington, M. Yield Performance and Stability-Based Comparative Evaluation of Different Cotton (Gossypium hirsutum L.) Genotypes Under Diverse Environments of Zimbabwe. J. Plant Sci. 2024, 12(1), 36-42. doi: 10.11648/jps.20241201.16
AMA Style
Marco M, Washington M. Yield Performance and Stability-Based Comparative Evaluation of Different Cotton (Gossypium hirsutum L.) Genotypes Under Diverse Environments of Zimbabwe. J Plant Sci. 2024;12(1):36-42. doi: 10.11648/jps.20241201.16
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/jps.20241201.16,
author = {Mare Marco and Mubvekeri Washington},
title = {Yield Performance and Stability-Based Comparative Evaluation of Different Cotton (Gossypium hirsutum L.) Genotypes Under Diverse Environments of Zimbabwe},
journal = {Journal of Plant Sciences},
volume = {12},
number = {1},
pages = {36-42},
doi = {10.11648/jps.20241201.16},
url = {https://doi.org/10.11648/jps.20241201.16},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.jps.20241201.16},
abstract = {Cotton (Gossypium hirsutum L.) is an important cash and natural fibre crop grown worldwide. The present study was performed to assess and identify superior cotton genotypes with high mean and stable performance across different environments. The experimental gross plot sizes used in the experiment comprised of six rows which are one meter apart and six meters long (6m x 6m = 36m2). Data was collected from a net plot which measured 4m x 4m (16m2). The combined analysis of variance (ANOVA) using Genstat 18th version was generated and manifested significant differences for tested genotypes (G), locations (L), years (Y), genotype × year (GY), and genotype × location (GL) and GxLxY interactions revealing higher influence by environmental factors on yield (P < 0.001). High TSC means were recorded for SZ-9523, 81-01-1 and SN-96-5, where the three candidates obtained 3045.62kgha-1, 2721.56kgha-1 and 2705kgha-1 respectively. AMMI ANOVA showed that two IPCAs (IPCA1 and IPCA2) out of four were highly significant (P ≤ 0.001), and they accounted for 60.4% and 31.9 respectively (92.3% of the GEI). GGE Showed that SZ-9523 recorded high yield means and was also very stable. Generally, both biplots revealed that SZ-9523, 81-01-2 and SN-96-5 were high mean performers across all sites, whilst SZ-9523 was the most stable, and ideal genotype. These candidates are recommended for commercial release in Zimbabwe as well as for use as for use as parents in future breeding programmes.
},
year = {2024}
}
TY - JOUR T1 - Yield Performance and Stability-Based Comparative Evaluation of Different Cotton (Gossypium hirsutum L.) Genotypes Under Diverse Environments of Zimbabwe AU - Mare Marco AU - Mubvekeri Washington Y1 - 2024/02/01 PY - 2024 N1 - https://doi.org/10.11648/jps.20241201.16 DO - 10.11648/jps.20241201.16 T2 - Journal of Plant Sciences JF - Journal of Plant Sciences JO - Journal of Plant Sciences SP - 36 EP - 42 PB - Science Publishing Group SN - 2331-0731 UR - https://doi.org/10.11648/jps.20241201.16 AB - Cotton (Gossypium hirsutum L.) is an important cash and natural fibre crop grown worldwide. The present study was performed to assess and identify superior cotton genotypes with high mean and stable performance across different environments. The experimental gross plot sizes used in the experiment comprised of six rows which are one meter apart and six meters long (6m x 6m = 36m2). Data was collected from a net plot which measured 4m x 4m (16m2). The combined analysis of variance (ANOVA) using Genstat 18th version was generated and manifested significant differences for tested genotypes (G), locations (L), years (Y), genotype × year (GY), and genotype × location (GL) and GxLxY interactions revealing higher influence by environmental factors on yield (P < 0.001). High TSC means were recorded for SZ-9523, 81-01-1 and SN-96-5, where the three candidates obtained 3045.62kgha-1, 2721.56kgha-1 and 2705kgha-1 respectively. AMMI ANOVA showed that two IPCAs (IPCA1 and IPCA2) out of four were highly significant (P ≤ 0.001), and they accounted for 60.4% and 31.9 respectively (92.3% of the GEI). GGE Showed that SZ-9523 recorded high yield means and was also very stable. Generally, both biplots revealed that SZ-9523, 81-01-2 and SN-96-5 were high mean performers across all sites, whilst SZ-9523 was the most stable, and ideal genotype. These candidates are recommended for commercial release in Zimbabwe as well as for use as for use as parents in future breeding programmes. VL - 12 IS - 1 ER -
Department of Agricultural Research, Innovation and Development, Cotton Research Institute, Kadoma, Zimbabwe
Department of Agricultural Research, Innovation and Development, Cotton Research Institute, Kadoma, Zimbabwe
Information