AMMI Analysis of Genotype×Environment Interaction and Stability of Sesame Genotypes 
 in Northern Ethiopia

Baraki, Fiseha; Tsehay, Yemane; Abay, Fetien

doi:10.3923/ajps.2014.178.183

Cited by 17 publications

(20 citation statements)

References 4 publications

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“…Hence, the breeding strategy should be based on wider adaptive and high yielder genotypes. This result is in line with [24,7,8] in sesame. G14, G17, G5, G7, G1, G16, G12 and G15 had above mean oil yield in the favorable environments, while, G4, G11, G8, G10, G3, G10, G13, G2, G9 G6 were below the average mean oil yield in the unfavorable environments.…”

Section: Genotypic Adaptability and Stability Analysissupporting

confidence: 90%

Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (<i>Sesamum indicum</i> L.) Genotypes in Northern Ethiopia

Kindeya¹,

Mekbib²,

Alle³

2020

AJLS

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Section: Genotypic Adaptability and Stability Analysissupporting

confidence: 90%

Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (<i>Sesamum indicum</i> L.) Genotypes in Northern Ethiopia

Kindeya¹,

Mekbib²,

Alle³

2020

AJLS

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“…The YSI which is similar to genotype stability index (GSI) proposed by Fardshadfar [26] integrates both yield and stability across environments into a single index, to select varieties. The YSI sums the rank of mean yield across environments with the rank of the ASV of genotypes [25,27]. Genotypes with lower YSI are desirable since they combine high mean yield performance with stability [24,25,27,34].…”

Section: Discussionmentioning

confidence: 99%

“…The YSI sums the rank of mean yield across environments with the rank of the ASV of genotypes [25,27]. Genotypes with lower YSI are desirable since they combine high mean yield performance with stability [24,25,27,34]. Based on the YSI, genotypes MM96/1751, Pontisange, 00/0203, ATR 007, and UCC2001/449 were selected as combining high yield performance with stability.…”

Section: Discussionmentioning

confidence: 99%

“…Both the YSI and the GSI are based on the sum of the ranking due to ASV scores and yield or performance ranking. Lower YSI and GSI values indicate genotypes that combine high yield or performance with stability [24,26,27]. The study was conducted to assess the performance and stability of cassava genotypes for fresh root yield and other yield components.…”

Section: Introductionmentioning

confidence: 99%

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AMMI Stability Analysis and Estimation of Genetic Parameters for Growth and Yield Components in Cassava in the Forest and Guinea Savannah Ecologies of Ghana

Adjebeng‐Danquah

Manu-Aduening

Gracen

et al. 2017

International Journal of Agronomy

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Twenty cassava genotypes were arranged in a randomised complete block design with three replications and assessed for growth and yield stability using the additive main effect and multiplicative interaction (AMMI) analysis. Highly significant (P<0.001) effects of genotype, environment, and genotype ⁎ environment interaction were observed for all traits studied. The AMMI analysis of variance indicated that genotype accounted for 51% of the total sum of squares for height at first branching followed by environment (33%) and interaction (15%). For fresh root yield, environment effects accounted for 37% of the total sum of squares, whilst genotype and interaction accounted for 32% and 29%, respectively. Genotypic variances for harvest index (HI), plant height, storage root yield, and dry matter content contributed a greater proportion of the phenotypic variance indicating stronger genetic control. This suggests better chance of progress in the genetic improvement of these traits. Genotype MM96/1751 combined high yield with stability according to the yield stability index ranking across environments. On the other hand genotypes UCC 2001/449 and 96/1708 though high yielding were unstable according to AMMI stability value scores. However they can be tested further in more environments to ascertain their specific adaptability for release to farmers for cultivation to boost cassava production and ensure food security.

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“…In this regard, multilocation trials are routinely conducted to assess the pattern of genotypic response over a number of locations and years (test environments). Typically, a significant G × E exists whenever the genotype performance greatly differs with environments 2 , 3 . When a significant G × E is identified, subsequent stability analysis is often carried out to identify stable genotypes which exhibit consistently higher yield over several environments 4 .…”

Section: Introductionmentioning

confidence: 99%

Stability of yield and its components in grafted tomato tested across multiple environments in Texas

Djidonou

Leskovar

Joshi

et al. 2020

Sci Rep

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Grafting with vigorous rootstocks could offer tomato growers in Texas sustainable and efficient option to achieve reliable yield across a range of production systems and locations. Genotypes (G) of grafted and non-grafted tomato were grown in different environments (E) in the 2017 and 2018 spring seasons. The objectives of the study were to (i) evaluate the effects of production system and grafting on tomato yield traits, (ii) determine the size of genotypic and genotype by environment interaction (G × e) variance components, and (iii) evaluate the relative stability of tested genotypes for yield and its components across production environments. In 2017, genotypes were non-grafted 'TAMU Hot Ty' (TAM) and 'Tycoon' (TY) and each grafted on commercial tomato rootstocks 'Estamino' (TAM/ ES, TY/ES) and 'Multifort' (TAM/MU, TY/MU) while in 2018, TAM and 'HM1823' (HM) were grafted on 'Estamino' (TAM/ES, HM/ES) and 'Multifort' (TAM/MU, HM/MU). Testing environments were high tunnel (HT) and open-field (OF) in Uvalde in 2017 while in 2018, these were HT and OF in Lubbock (LU-HT, LU-OF), Overton (OV-HT, OV-OF), Uvalde (UV-HT, UV-OF), and Weslaco (WE-HT, WE-OF). Total and marketable yields, fruit number per plant, and average fruit weight were significantly affected by E, G, and G × E interaction. Environmental component contributed 71-86% to the total variation for all these traits, while genotype explained 1.5-10.8%, and the contribution of G × E ranged between 4.3 to 6.7%. Estimation of the univariate statistic parameters and genotype plus genotype × environment (GGE) biplot analysis indicated that HM/MU and HM/ES were the most stable graft combination with the highest total and marketable yields, while TAM/ES was very unstable for yields across test environments. TAM/MU was stable but with yield lower than the grand mean. These results suggest that high tomato yields could be consistently achieved with grafted combination (HM/MU and HM/ES) especially under high tunnel production system across the regions of texas. Genetics, environmental factors, and cultural management practices typically determine the extent of quantitative traits of economic importance such as genotype or cultivar yield. As such, the proportion of the variation in this phenotypic trait due to the main effect of genotype (G), the environment (E) and their interactions (G × E) is routinely assessed during the process of selecting top-performing lines 1. In this regard, multilocation trials are routinely conducted to assess the pattern of genotypic response over a number of locations and years (test environments). Typically, a significant G × E exists whenever the genotype performance greatly differs with environments 2,3. When a significant G × E is identified, subsequent stability analysis is often carried out to identify stable genotypes which exhibit consistently higher yield over several environments 4. The presence of significant G × E has been found in growth and yield traits of several field 5-8 and vegetable crops 3,9-11. In tomato (Solanum lyc...

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AMMI Analysis of Genotype×Environment Interaction and Stability of Sesame Genotypes in Northern Ethiopia

Cited by 17 publications

References 4 publications

Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (<i>Sesamum indicum</i> L.) Genotypes in Northern Ethiopia

Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (<i>Sesamum indicum</i> L.) Genotypes in Northern Ethiopia

AMMI Stability Analysis and Estimation of Genetic Parameters for Growth and Yield Components in Cassava in the Forest and Guinea Savannah Ecologies of Ghana

Stability of yield and its components in grafted tomato tested across multiple environments in Texas

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AMMI Analysis of Genotype×Environment Interaction and Stability of Sesame Genotypes in Northern Ethiopia

Cited by 17 publications

References 4 publications

Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (&lt;i&gt;Sesamum indicum&lt;/i&gt; L.) Genotypes in Northern Ethiopia

Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (&lt;i&gt;Sesamum indicum&lt;/i&gt; L.) Genotypes in Northern Ethiopia

AMMI Stability Analysis and Estimation of Genetic Parameters for Growth and Yield Components in Cassava in the Forest and Guinea Savannah Ecologies of Ghana

Stability of yield and its components in grafted tomato tested across multiple environments in Texas

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Product

Resources

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Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (<i>Sesamum indicum</i> L.) Genotypes in Northern Ethiopia

Genotype x Environment Interaction and AMMI Analysis of Oil Yield Sesame (<i>Sesamum indicum</i> L.) Genotypes in Northern Ethiopia