GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data

Rakshit, Sujay; Ganapathy, K. N.; Gomashe, S. S.; Rathore, Abhishek; Ghorade, R. B.; Kumar, Manoj; Ganesmurthy, K.; Jain, SK; Kamtar, MY; Sachan, J. S.; Ambekar, S. S.; Ranwa, B. R.; Kanawade, D.G.; Balusamy, M.; Kadam, Dnyaneshwar C.; Sarkar, Ananta; Tonapi, Vilas A.; Patil, J. V.

doi:10.1007/s10681-012-0648-6

Cited by 121 publications

(148 citation statements)

References 37 publications

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“…For the early and medium groups, this approach provided three of the more stable clusters and for the late-maturity genotypes, four stable environmental strata were produced (Table 4). These results agree with those obtained by other authors, in environmental stratification studies for sorghum grain yield (Rakshit et al, 2012), barley (Mohammadi et al, 2009;Mortazavian et al, 2014), and maize (Oyekunle et al, 2017). The AMMI1 model offers greater repeatability of the clusters, concerning more parameterized AMMI models, which incorporate more axes of the GxE interaction (Gauch, 1990(Gauch, , 1992Ebdon and Gauch, 2002).…”

Section: Discussionsupporting

confidence: 93%

Research Article Environmental stratifications for soybean cultivar recommendation and its consistency over time.

et al. 2017

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ABSTRACT. Stratification of environments is a strategy to capitalize genotype x environment (GxE) interaction, which can optimize the process of assessment and cultivar recommendation, increasing productivity in a target environmental population. The objective of this study was to assess environmental stratification methods based on the analysis of GxE interaction, to identify consistent agronomic zones across time for soybean. Grain yield data of inbred lines from three maturity groups (early, medium, and late) were used. Lines and cultivars were tested in regional variety trials during three growing seasons at eighteen locations in the tropics of Central Brazil. Three methods were applied to stratify the environments. The first was based on joint analyses of variance for all the pairs of locations within each growing year. The second was based on a distance measure between each pair of locations, which was related to the GxE interaction estimated via additive main effects and multiplicative interaction analysis. The third was based on the approach of winning genotypes. The stratification results from the first two methods were not consistent across the growing seasons. However, the winning genotype approach provided consistent environmental stratification across years. From locations used in the genotypic assessment, three environmental clusters were identified for the early and medium maturity groups of soybean, and four clusters for the late maturity group. The use of different genotypic sets across years reinforces the predictive value of the environmental stratification established.

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Section: Discussionsupporting

confidence: 93%

Research Article Environmental stratifications for soybean cultivar recommendation and its consistency over time.

et al. 2017

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“…Based on this points, Munaro et al (2014), evaluating different spring wheat cultivars for 3 years at 12 test locations in Brazil, identified superior cultivars and advanced lines for cultivars release. Similar results were obtained by Rakshit et al (2012) using sorghum hybrids, SotoCerda et al (2014) with linseed genotypes, Rolins et al (2013) and von Korf (2008) …”

Section: Introductionsupporting

confidence: 81%

FGGE method: description and application in data from maize cultivars

Garbuglio

Ferreira

2015

Euphytica

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The objective of this study was to propose a methodology using a factor analysis associated with genotypic and genotype 9 environment interaction effects (FGGE) and to accomplish, simultaneously, analyses of environmental stratification and the adaptability of maize cultivars indicated for planting in Paraná State. The analysis of adaptability based on the factor analysis was accomplished graphically by scoring in relation to the factors with separation in the adaptability quadrants. The analysis of environmental stratification were accomplished beginning with the magnitude of the final factor loadings obtained after rotations through the varimax method. The FGGE method is efficient for processing the environmental stratification and adaptability analysis. More than 70 % of the retained variation in the first eigenvalues represents the expressive part of the sum of the genotypic and genotype 9 environment interaction (G 9 E) interaction effects for this data set. The cultivars with wide adaptation and high yield in the group of the tested environments were P30F35, P30F53, P30K64, P30R50 and AS 1570.

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“…Rakshit et al (2012) and Amiri et al(2015) all of them identified verities suitable for a defined production system.…”

Section: Genotypic Performance Of Yield and Yield Related Traitsmentioning

confidence: 99%

STABILITY ANALYSIS UTILIZING AMMI MODEL AND REGRESSION ANALYSIS FOR GRAIN YIELD OF BASMATI RICE (Oryza sativa L.) GENOTYPES

Jain¹,

Sarial²,

Kaushik³

2018

JEBAS

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A field experiment comprising of released varieties, elite lines and hybrid under four production systems viz. Transplanted rice (TPR), Dry direct seeded rice (Dry DSR), Wet direct seeded rice (Wet DSR) and System of rice intensification (SRI) was conducted at Research farm of RRS, Kaul, CCS HAU, Hisar, Haryana during Kharif of 2014-15 and 2015-16. Present study tested and identified the basmati rice genotypes for yield and its components under System of rice intensification, Direct seeded rice (both Dry and Wet) and regular Transplanted rice system. Four characters namely, grain yield, plant height, tiller/ plant panicle length and panicle weight were recorded.Estimates of genotype x environment interaction and additive main effect were significant for all the mentioned traits. The traits viz. tiller/ plant and plant height were found proportional to grain yield. Based on AMMI biplot analysis genotypes Pusa RH 10 has been identified for SRI, while genotypes i.e. Imp Pusa Basmati-1, CSR-30, Haryana Basmati-1 and Haryana Mehak-1 were identified for Wet DSR and two genotypes Super Basmati and HKR 06-487 for Dry DSR conditions.

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GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data

Cited by 121 publications

References 37 publications

Research Article Environmental stratifications for soybean cultivar recommendation and its consistency over time.

Research Article Environmental stratifications for soybean cultivar recommendation and its consistency over time.

FGGE method: description and application in data from maize cultivars

STABILITY ANALYSIS UTILIZING AMMI MODEL AND REGRESSION ANALYSIS FOR GRAIN YIELD OF BASMATI RICE (Oryza sativa L.) GENOTYPES

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