Comprehensive Stability Analysis of Wheat Genotypes through Multi-Environmental Trials

Eslam Majidi Hervan; Mohammadreza Bihamta

Makale detayları

Comprehensive Stability Analysis of Wheat Genotypes through Multi-Environmental Trials

Yazarlar:

Eslam Majidi Hervan | Mohammadreza Bihamta

Yayıncı:

Ankara University

Dergi:

Journal of Agricultural Sciences Vol.29 Issue 1, pp.317-334

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282550

pISSN:

1300-7580

Anahtar kelimeler:

Özet:

 In rainfed areas, due to variable environmental factors, improving the yield stability of the introduced cultivars along with increasing yield should be considered. The main aim of this study is to obtain high-yield wheat genotypes that are stable and adaptable to cold climatic conditions in Iran. For this purpose, 25 wheat genotypes were evaluated in a randomized complete blocks design with three replications during three cropping seasons 2013-2016 under supplementary irrigation and rainfed conditions. PBSTAT-GE software was used for genotype  environment interaction GEI analysis and comprehensive sustainability analysis. The results showed that G5, G14, G16 and G18 genotypes had good stability and general adaptation based on parametric and non-parametric stability statistics. Combined analysis of variance based on the Additive Main Effect and Multiplicative Interaction AMMI model showed that GEI is significant in the term of grain yield. Also, the ratios between the sum of squares G, GE and IPC1 showed that the AMMI is suitable for data analysis. GGE biplot analysis identified five mega-environments MEs, in which ME I including E1, E2, E3, E4, E5, E6, and G7, G5, G14, G13, G16, G18, G20 being the superior ME I genotypes. According to AMMI and GGE biplote stability methods, lines G20, G18, G13, G16, G14 and Saein cultivar G5 can be considered as desirable genetic resources in wheat production programs under variable environments in Iran, due to having the appropriate combination of yield and stability.

 In rainfed areas, due to variable environmental factors, improving the yield stability of the introduced cultivars along with increasing yield should be considered. The main aim of this study is to obtain high-yield wheat genotypes that are stable and adaptable to cold climatic conditions in Iran. For this purpose, 25 wheat genotypes were evaluated in a randomized complete blocks design with three replications during three cropping seasons 2013-2016 under supplementary irrigation and rainfed conditions. PBSTAT-GE software was used for genotype  environment interaction GEI analysis and comprehensive sustainability analysis. The results showed that G5, G14, G16 and G18 genotypes had good stability and general adaptation based on parametric and non-parametric stability statistics. Combined analysis of variance based on the Additive Main Effect and Multiplicative Interaction AMMI model showed that GEI is significant in the term of grain yield. Also, the ratios between the sum of squares G, GE and IPC1 showed that the AMMI is suitable for data analysis. GGE biplot analysis identified five mega-environments MEs, in which ME I including E1, E2, E3, E4, E5, E6, and G7, G5, G14, G13, G16, G18, G20 being the superior ME I genotypes. According to AMMI and GGE biplote stability methods, lines G20, G18, G13, G16, G14 and Saein cultivar G5 can be considered as desirable genetic resources in wheat production programs under variable environments in Iran, due to having the appropriate combination of yield and stability.

 In rainfed areas, due to variable environmental factors, improving the yield stability of the introduced cultivars along with increasing yield should be considered. The main aim of this study is to obtain high-yield wheat genotypes that are stable and adaptable to cold climatic conditions in Iran. For this purpose, 25 wheat genotypes were evaluated in a randomized complete blocks design with three replications during three cropping seasons 2013-2016 under supplementary irrigation and rainfed conditions. PBSTAT-GE software was used for genotype  environment interaction GEI analysis and comprehensive sustainability analysis. The results showed that G5, G14, G16 and G18 genotypes had good stability and general adaptation based on parametric and non-parametric stability statistics. Combined analysis of variance based on the Additive Main Effect and Multiplicative Interaction AMMI model showed that GEI is significant in the term of grain yield. Also, the ratios between the sum of squares G, GE and IPC1 showed that the AMMI is suitable for data analysis. GGE biplot analysis identified five mega-environments MEs, in which ME I including E1, E2, E3, E4, E5, E6, and G7, G5, G14, G13, G16, G18, G20 being the superior ME I genotypes. According to AMMI and GGE biplote stability methods, lines G20, G18, G13, G16, G14 and Saein cultivar G5 can be considered as desirable genetic resources in wheat production programs under variable environments in Iran, due to having the appropriate combination of yield and stability.

 In rainfed areas, due to variable environmental factors, improving the yield stability of the introduced cultivars along with increasing yield should be considered. The main aim of this study is to obtain high-yield wheat genotypes that are stable and adaptable to cold climatic conditions in Iran. For this purpose, 25 wheat genotypes were evaluated in a randomized complete blocks design with three replications during three cropping seasons 2013-2016 under supplementary irrigation and rainfed conditions. PBSTAT-GE software was used for genotype  environment interaction GEI analysis and comprehensive sustainability analysis. The results showed that G5, G14, G16 and G18 genotypes had good stability and general adaptation based on parametric and non-parametric stability statistics. Combined analysis of variance based on the Additive Main Effect and Multiplicative Interaction AMMI model showed that GEI is significant in the term of grain yield. Also, the ratios between the sum of squares G, GE and IPC1 showed that the AMMI is suitable for data analysis. GGE biplot analysis identified five mega-environments MEs, in which ME I including E1, E2, E3, E4, E5, E6, and G7, G5, G14, G13, G16, G18, G20 being the superior ME I genotypes. According to AMMI and GGE biplote stability methods, lines G20, G18, G13, G16, G14 and Saein cultivar G5 can be considered as desirable genetic resources in wheat production programs under variable environments in Iran, due to having the appropriate combination of yield and stability.

Makale detayları

Comprehensive Stability Analysis of Wheat Genotypes through Multi-Environmental Trials

Yazarlar:

Eslam Majidi Hervan | Mohammadreza Bihamta

Yayıncı:

Ankara University

Dergi:

Journal of Agricultural Sciences Vol.29 Issue 1, pp.317-334

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282550

pISSN:

1300-7580

Adaptability and stability

AMMI

ANOVA

GE interaction

GGE biplot

wheat

Sayı

Makale detayları

Comprehensive Stability Analysis of Wheat Genotypes through Multi-Environmental Trials

Yazarlar: Eslam Majidi Hervan | Mohammadreza Bihamta

Yayıncı: Ankara University

Dergi: Journal of Agricultural Sciences Vol.29 Issue 1, pp.317-334

Belge Tipi: Makale

Yayın Tarihi: 1/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001282550

pISSN: 1300-7580

Adaptability and stability

AMMI

ANOVA

GE interaction

GGE biplot

wheat

Sayı

Yazarlar:

Eslam Majidi Hervan | Mohammadreza Bihamta

Yayıncı:

Ankara University

Dergi:

Journal of Agricultural Sciences Vol.29 Issue 1, pp.317-334

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282550

pISSN:

1300-7580