Exploring Superiority of Different Cotton (<i>Gossypium hirsutum.</i> L) Genotypes Through the Application of Parametric Stability Models

Mare Marco; Chapepa Blessing; Mubvekeri Washington; Kutywayo Dumisani

doi:doi:10.11648/j.jps.20221004.11

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Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models

Mare Marco, Chapepa Blessing, Mubvekeri Washington, Kutywayo Dumisani

Published in Journal of Plant Sciences (Volume 10, Issue 4)

Received: 14 June 2022 Accepted: 29 June 2022 Published: 9 August 2022

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Abstract

Cotton (Gossypium hirsutum) is an important cash crop worldwide mainly grown for its unique natural fibre hence considered as an industrial and agricultural crop. Cotton Variety Development Programme in Zimbabwe has the mandate to develop cotton varieties which are superior in terms of the field and fibre attributes and such varieties increases cotton production and productivity. A Multi locational Yield Evaluation (MYE) study which aimed to select superior cotton genotypes through the use of different stability models was conducted in Zimbabwe at fifteen various locations from 2014/15 – 2020/21 season. Fifteen genotypes that are in the advanced stage of testing before final recommendation for possible release were evaluated. The trials was laid out in a Randomized Complete Block Design (RCBD) and replicated three times. Genstat 18^th Edition was used to generate the Analysis of Variance (ANOVA), genotype stability and environments performance. Results from the accumulated Analysis of Variance (ANOVA) of seed cotton yield indicated highly significant differences (P<0.001) due to genotypic, environmental, and GE interaction effects revealing more contribution (43.1%) of the total variation due to the environmental effects hence environments were variable and caused many fluctuations in seed cotton yield. Genotypic effects and GEI explained 0.9% and 8.7% respectively to the total variation whilst the seasons contributed about 19.7%. Matikwa and Chitekete recorded the highest total seed cotton of 3567kgha^-1 and 3534kgha^-1 respectively followed by Chizvirizvi that scored 2681kgha^-1. Stability parameters, both multivariate and univariate were used in the study. Genotype and Genotype by Environment (GGE) biplot indicated that SZ-95-23 was an ideal, high-performing, and stable genotype and was the winner at ten test locations. Use of Wricke’s Ecovalence and Finlay and Wilkinson’s models also indicated that SZ-95-23 was the superior genotype possessing good yield performance, stability, and wide adaptability, recomended for commercial release and cultivation.

Published in	Journal of Plant Sciences (Volume 10, Issue 4)
DOI	10.11648/j.jps.20221004.11
Page(s)	130-138
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), 2022. Published by Science Publishing Group

Keywords

Stability, Genotype by Environment Interaction (GEI), Total Seed Cotton Yield, Genotype and Genotype by Environment

References

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APA Style

Mare Marco, Chapepa Blessing, Mubvekeri Washington, Kutywayo Dumisani. (2022). Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models. Journal of Plant Sciences, 10(4), 130-138. https://doi.org/10.11648/j.jps.20221004.11

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ACS Style

Mare Marco; Chapepa Blessing; Mubvekeri Washington; Kutywayo Dumisani. Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models. J. Plant Sci. 2022, 10(4), 130-138. doi: 10.11648/j.jps.20221004.11

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AMA Style

Mare Marco, Chapepa Blessing, Mubvekeri Washington, Kutywayo Dumisani. Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models. J Plant Sci. 2022;10(4):130-138. doi: 10.11648/j.jps.20221004.11

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@article{10.11648/j.jps.20221004.11,
  author = {Mare Marco and Chapepa Blessing and Mubvekeri Washington and Kutywayo Dumisani},
  title = {Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models},
  journal = {Journal of Plant Sciences},
  volume = {10},
  number = {4},
  pages = {130-138},
  doi = {10.11648/j.jps.20221004.11},
  url = {https://doi.org/10.11648/j.jps.20221004.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20221004.11},
  abstract = {Cotton (Gossypium hirsutum) is an important cash crop worldwide mainly grown for its unique natural fibre hence considered as an industrial and agricultural crop. Cotton Variety Development Programme in Zimbabwe has the mandate to develop cotton varieties which are superior in terms of the field and fibre attributes and such varieties increases cotton production and productivity. A Multi locational Yield Evaluation (MYE) study which aimed to select superior cotton genotypes through the use of different stability models was conducted in Zimbabwe at fifteen various locations from 2014/15 – 2020/21 season. Fifteen genotypes that are in the advanced stage of testing before final recommendation for possible release were evaluated. The trials was laid out in a Randomized Complete Block Design (RCBD) and replicated three times. Genstat 18th Edition was used to generate the Analysis of Variance (ANOVA), genotype stability and environments performance. Results from the accumulated Analysis of Variance (ANOVA) of seed cotton yield indicated highly significant differences (P-1 and 3534kgha-1 respectively followed by Chizvirizvi that scored 2681kgha-1. Stability parameters, both multivariate and univariate were used in the study. Genotype and Genotype by Environment (GGE) biplot indicated that SZ-95-23 was an ideal, high-performing, and stable genotype and was the winner at ten test locations. Use of Wricke’s Ecovalence and Finlay and Wilkinson’s models also indicated that SZ-95-23 was the superior genotype possessing good yield performance, stability, and wide adaptability, recomended for commercial release and cultivation.},
 year = {2022}
}

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TY  - JOUR
T1  - Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models
AU  - Mare Marco
AU  - Chapepa Blessing
AU  - Mubvekeri Washington
AU  - Kutywayo Dumisani
Y1  - 2022/08/09
PY  - 2022
N1  - https://doi.org/10.11648/j.jps.20221004.11
DO  - 10.11648/j.jps.20221004.11
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 130
EP  - 138
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20221004.11
AB  - Cotton (Gossypium hirsutum) is an important cash crop worldwide mainly grown for its unique natural fibre hence considered as an industrial and agricultural crop. Cotton Variety Development Programme in Zimbabwe has the mandate to develop cotton varieties which are superior in terms of the field and fibre attributes and such varieties increases cotton production and productivity. A Multi locational Yield Evaluation (MYE) study which aimed to select superior cotton genotypes through the use of different stability models was conducted in Zimbabwe at fifteen various locations from 2014/15 – 2020/21 season. Fifteen genotypes that are in the advanced stage of testing before final recommendation for possible release were evaluated. The trials was laid out in a Randomized Complete Block Design (RCBD) and replicated three times. Genstat 18th Edition was used to generate the Analysis of Variance (ANOVA), genotype stability and environments performance. Results from the accumulated Analysis of Variance (ANOVA) of seed cotton yield indicated highly significant differences (P-1 and 3534kgha-1 respectively followed by Chizvirizvi that scored 2681kgha-1. Stability parameters, both multivariate and univariate were used in the study. Genotype and Genotype by Environment (GGE) biplot indicated that SZ-95-23 was an ideal, high-performing, and stable genotype and was the winner at ten test locations. Use of Wricke’s Ecovalence and Finlay and Wilkinson’s models also indicated that SZ-95-23 was the superior genotype possessing good yield performance, stability, and wide adaptability, recomended for commercial release and cultivation.
VL  - 10
IS  - 4
ER  -

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Author Information

Mare Marco

Cotton Research Institute, Kadoma, Zimbabwe
Chapepa Blessing

Cotton Research Institute, Kadoma, Zimbabwe
Mubvekeri Washington

Cotton Research Institute, Kadoma, Zimbabwe
Kutywayo Dumisani

Agricultural Research, Innovation and Development, Ministry of Lands, Agriculture, Fisheries, Water and Rural Development, Harare, Zimbabwe

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Mare Marco, Chapepa Blessing, Mubvekeri Washington, Kutywayo Dumisani. (2022). Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models. Journal of Plant Sciences, 10(4), 130-138. https://doi.org/10.11648/j.jps.20221004.11

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ACS Style

Mare Marco; Chapepa Blessing; Mubvekeri Washington; Kutywayo Dumisani. Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models. J. Plant Sci. 2022, 10(4), 130-138. doi: 10.11648/j.jps.20221004.11

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AMA Style

Mare Marco, Chapepa Blessing, Mubvekeri Washington, Kutywayo Dumisani. Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models. J Plant Sci. 2022;10(4):130-138. doi: 10.11648/j.jps.20221004.11

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@article{10.11648/j.jps.20221004.11,
  author = {Mare Marco and Chapepa Blessing and Mubvekeri Washington and Kutywayo Dumisani},
  title = {Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models},
  journal = {Journal of Plant Sciences},
  volume = {10},
  number = {4},
  pages = {130-138},
  doi = {10.11648/j.jps.20221004.11},
  url = {https://doi.org/10.11648/j.jps.20221004.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20221004.11},
  abstract = {Cotton (Gossypium hirsutum) is an important cash crop worldwide mainly grown for its unique natural fibre hence considered as an industrial and agricultural crop. Cotton Variety Development Programme in Zimbabwe has the mandate to develop cotton varieties which are superior in terms of the field and fibre attributes and such varieties increases cotton production and productivity. A Multi locational Yield Evaluation (MYE) study which aimed to select superior cotton genotypes through the use of different stability models was conducted in Zimbabwe at fifteen various locations from 2014/15 – 2020/21 season. Fifteen genotypes that are in the advanced stage of testing before final recommendation for possible release were evaluated. The trials was laid out in a Randomized Complete Block Design (RCBD) and replicated three times. Genstat 18th Edition was used to generate the Analysis of Variance (ANOVA), genotype stability and environments performance. Results from the accumulated Analysis of Variance (ANOVA) of seed cotton yield indicated highly significant differences (P-1 and 3534kgha-1 respectively followed by Chizvirizvi that scored 2681kgha-1. Stability parameters, both multivariate and univariate were used in the study. Genotype and Genotype by Environment (GGE) biplot indicated that SZ-95-23 was an ideal, high-performing, and stable genotype and was the winner at ten test locations. Use of Wricke’s Ecovalence and Finlay and Wilkinson’s models also indicated that SZ-95-23 was the superior genotype possessing good yield performance, stability, and wide adaptability, recomended for commercial release and cultivation.},
 year = {2022}
}

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TY  - JOUR
T1  - Exploring Superiority of Different Cotton (Gossypium hirsutum. L) Genotypes Through the Application of Parametric Stability Models
AU  - Mare Marco
AU  - Chapepa Blessing
AU  - Mubvekeri Washington
AU  - Kutywayo Dumisani
Y1  - 2022/08/09
PY  - 2022
N1  - https://doi.org/10.11648/j.jps.20221004.11
DO  - 10.11648/j.jps.20221004.11
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 130
EP  - 138
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20221004.11
AB  - Cotton (Gossypium hirsutum) is an important cash crop worldwide mainly grown for its unique natural fibre hence considered as an industrial and agricultural crop. Cotton Variety Development Programme in Zimbabwe has the mandate to develop cotton varieties which are superior in terms of the field and fibre attributes and such varieties increases cotton production and productivity. A Multi locational Yield Evaluation (MYE) study which aimed to select superior cotton genotypes through the use of different stability models was conducted in Zimbabwe at fifteen various locations from 2014/15 – 2020/21 season. Fifteen genotypes that are in the advanced stage of testing before final recommendation for possible release were evaluated. The trials was laid out in a Randomized Complete Block Design (RCBD) and replicated three times. Genstat 18th Edition was used to generate the Analysis of Variance (ANOVA), genotype stability and environments performance. Results from the accumulated Analysis of Variance (ANOVA) of seed cotton yield indicated highly significant differences (P-1 and 3534kgha-1 respectively followed by Chizvirizvi that scored 2681kgha-1. Stability parameters, both multivariate and univariate were used in the study. Genotype and Genotype by Environment (GGE) biplot indicated that SZ-95-23 was an ideal, high-performing, and stable genotype and was the winner at ten test locations. Use of Wricke’s Ecovalence and Finlay and Wilkinson’s models also indicated that SZ-95-23 was the superior genotype possessing good yield performance, stability, and wide adaptability, recomended for commercial release and cultivation.
VL  - 10
IS  - 4
ER  -

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