Genotype by Environment Interaction and Crop Yield

Yan, Weikai; Hunt, L. A.

doi:10.1002/9780470650110.ch4

Cited by 43 publications

(42 citation statements)

References 50 publications

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“…The higher proportion of GE as compared to G is indicative of the possible existence of different megaenvironments among testing locations which has also been reported in earlier studies (Yan and Hunt, 1998). According to figure 2, the first two components explained 63.8% of the variation.…”

Section: Analysis Of Common Checksupporting

confidence: 80%

Grain yield stability of barley genotypes in uniform regional yield trails in warm and semi warm dry land area

Khanzadeh

Vaezi

Mohammadi

et al. 2017

IJARe

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The aim of this study was to assess the effect of GEI on grain yield of barley advanced lines and exploit the positive GEI effect using AMMI and SREG GGE biplot analysis. Therefore, 18 lines were evaluated at five research station s (Ghachsaran, Mogan, Lorestan, Gonbad and Ilam) of Dryland Agricultural Research Institute (DARI), in the semi-warm regions in Iran, in 2012, 2013 and 2014 cropping seasons under rain-fed conditions. Analysis of variance showed that grain yield variation due to the environments, genotypes and GE interaction were highly significant (p<0.01), which accounted for 68.9%, 9.3% and 22.7% of the treatment combination sum of squares, respectively. To determine the effects of GEI on yields, the data were subjected to AMMI and GGE biplot analysis. The first five AMMI model terms were highly significant (p<0.01) and the first two terms explained 59.56% of the GEI. There were two mega-environments according to the SREG GGE model. The best genotype in one location was not always the best in other test locations. According to AMMI1 biplot, G2, G4, G5 and G6 were better than all other genotypes across environments. G2 was the ideal genotype to plant in Gachsaran. It seems that Ghachsaran is the stable environment between the environments studied and next in rank was Gonbad. In finally, the ATC method indicated that G1, G3, G4 and G6 were more stable as well as high yielding.

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Section: Analysis Of Common Checksupporting

confidence: 80%

Grain yield stability of barley genotypes in uniform regional yield trails in warm and semi warm dry land area

Khanzadeh

Vaezi

Mohammadi

et al. 2017

IJARe

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show abstract

“…The results can be graphically represented in an easily interpretable and informative biplot that shows both main effects and GEI. The AMMI model has been used extensively with great success over the past few years to analyse and understand genotype x environment interaction in various crops (Crossa, 1990;Gauch and Zobel, 1996;Yau, 1995;Yan and Hunt, 1998).…”

Section: Issn: 2319-7706 Volume 6 Number 7 (2017) Pp 834-844mentioning

confidence: 99%

“…AMMI 2 bi-plot) (Fig. 2) explain the magnitude of interaction of each variety and environment (Yan et al, 1998;Cornelius et al, 1996). The varieties and environments those were farthest from the origin being more responsive.…”

Section: Ammi 2 Bi-plotmentioning

confidence: 99%

Assessment of G X E Interaction and Adaptation of Chickpea in Chhattisgarh State Using Ammi Model

Bhardwaj¹,

Gautam²,

Saxena³

2017

Int.J.Curr.Microbiol.App.Sci

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“…Analysis of environmental and genotypic factors is always important in plant breeding (Jackson et al, 1996;Yan & Hunt, 1998). In these study and throughout combined analysis of variance, effects of genotype and irrigation treatment were found to be highly significant (P<0.001) for grain yield (GY), number of spike per m 2 (NSM), number of kernel per spike (KN) and number of grains per m 2 (NGM).…”

Section: Phenology Yield and Components Of Yieldmentioning

confidence: 92%

Effect of Supplementary Irrigation on Agronomical and Physiological Traits in Durum Wheat (Triticum durum Desf.) Genotypes

Semcheddine¹,

Hafsi²

2014

JAS

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Drought, one of the abiotic stresses, is the most significant factor restricting crop production in large agricultural fields of the world. Wheat is generally grown on arid-agricultural fields. Drought often causes serious problems in wheat production. Ten durum wheat (Triticum durum Desf.) genotypes were tested under rain-fed (T 0 ) and three irrigated treatments (T 1 = 50 mm at Booting stage, T 2 = 50 mm at Booting and 15 mm at heading stages and T 3 = 50 mm at Booting and 30 mm at heading stages) in semi-arid conditions of Eastern Algeria. Grain Yield, components of yield, heading evolution, leaf relative water content, leaf specific weight, grain filling rate and duration and chlorophyll content were measured. The irrigation treatments affect significantly all characters. Application of 50 mm of irrigation at booting stage increased significantly grain yield by 23%, compared to rain-fed treatment. Another supplementary irrigation of 15 or 30 mm, at heading, increased significantly grain yield by 45 and 61%, respectively. Stressed condition affects negatively thousand kernel weights (105%). In addition, combined analysis of variance showed high genetic variation for all parameters measured, excepted leaf relative water content and leaf specific weight, when measured at heading stage suggesting the possibility of selecting tolerant genotypes for drought tolerance under semi arid condition.

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Genotype by Environment Interaction and Crop Yield

Cited by 43 publications

References 50 publications

Grain yield stability of barley genotypes in uniform regional yield trails in warm and semi warm dry land area

Grain yield stability of barley genotypes in uniform regional yield trails in warm and semi warm dry land area

Assessment of G X E Interaction and Adaptation of Chickpea in Chhattisgarh State Using Ammi Model

Effect of Supplementary Irrigation on Agronomical and Physiological Traits in Durum Wheat (Triticum durum Desf.) Genotypes

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