Genotype by environment interaction in sunflower (Helianthus annus L.) to optimize trial network efficiency

Modeling genotype by environment interaction (GEI) is one of the most challenging aspects of plant breeding programs. The use of efficient trial networks is an effective way to evaluate GEI to define selection strategies. Furthermore, the experimental design and the number of locations, replications, and years are crucial aspects of multi-environment trial (MET) network optimization. The objective of this study was to evaluate the efficiency and performance of a MET network of sunflower (Helianthus annuus L.). Specifically, we evaluated GEI in the network by delineating mega-environments, estimating genotypic stability and identifying relevant environmental covariates. Additionally, we optimized the network by comparing experimental design efficiencies. We used the National Evaluation Network of Sunflower Cultivars of Uruguay (NENSU) in a period of 20 years. MET plot yield and flowering time information was used to evaluate GEI. Additionally, meteorological information was studied for each sunflower physiological stage. An optimal network under these conditions should have three replications, two years of evaluation and at least three locations. The use of incomplete randomized block experimental design showed reasonable performance. Three mega-environments were defined, explained mainly by different management of sowing dates. Late sowings dates had the worst performance in grain yield and oil production, associated with higher temperatures before anthesis and fewer days allocated to grain filling. The optimization of MET networks through the analysis of the experimental design efficiency, the presence of GEI, and appropriate management strategies have a positive impact on the expression of yield potential and selection of superior cultivars.

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Genotype and environment interaction of sweetpotato varieties

Bangladesh Journal of Agricultural Research ◽

10.3329/bjar.v44i3.43481 ◽

2019 ◽

Vol 44 (3) ◽

pp. 501-512

Author(s):

S Sultana ◽

HC Mohanta ◽

Z Alam ◽

S Naznin ◽

S Begum

Keyword(s):

Tuber Yield ◽

Agricultural Research ◽

Genotype By Environment Interaction ◽

Yield Potential ◽

Environment Interaction ◽

Dry Matter Content ◽

Genotype By Environment ◽

Discriminating Power ◽

Study Results ◽

Main Effect

The article presents results of additive main effect and multiplicative interaction (AMMI) and genotype (G) main effect and genotype by environment (GE) interaction (G × GE) biplot analysis of a multi environmental trial (MET) data of 15 sweetpotato varieties released from Bangladesh Agricultural Research Institute conducted during 2015–2018. The objective of this study was to determine the effects of genotype, environment and their interaction on tuber yield and to identify stable sweetpotato genotypes over the years. The experimental layout was a randomized complete block design with three replications at Gazipur location. Combined analysis of variance (ANOVA) indicated that the main effects due to genotypes, environments and genotype by environment interaction were highly significant. The contribution of genotypes, environments and genotype by environment interaction to the total variation in tuber yield was about 60.16, 10.72 and 12.82%, respectively. The first two principal components obtained by singular value decomposition of the centred data of yield accounted for 100% of the total variability caused by G × GE. Out of these variations, PC1 and PC2 accounted for 71.5% and 28.5% of variability, respectively. The study results identified BARI Mistialu- 5, BARI Mistialu- 14 and BARI Mistialu- 15 as the closest to the “ideal” genotype in terms of yield potential and stability. Varieties ‘BARI Mistialu- 8, BARI Mistialu- 11 and BARI Mistialu- 12’ were also selected as superior genotypes. BARI Mistialu- 3 and BARI Mistialu- 13 was comparatively low yielder but was stable over the environment. Among them BARI Mistialu-12, BARI Mistialu-14 and BARI Mistialu-15 are rich in nutrient content while BARI Mistialu-8 and BARI Mistialu-11 are the best with dry matter content and organoleptic taste. Environments representing in 1st and 3rd year with comparatively short vectors had a low discriminating power and environment in 2nd year was characterized by a high discriminating power. Bangladesh J. Agril. Res. 44(3): 501-512, September 2019

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Genotype by environment interaction for seed yield per plant in rapeseed using AMMI model

Pesquisa Agropecuária Brasileira ◽

10.1590/s0100-204x2011000200009 ◽

2011 ◽

Vol 46 (2) ◽

pp. 174-181 ◽

Cited By ~ 11

Author(s):

Ana Marjanović-Jeromela ◽

Nevena Nagl ◽

Jelica Gvozdanović-Varga ◽

Nikola Hristov ◽

Ankica Kondić-Špika ◽

...

Keyword(s):

Seed Yield ◽

Block Design ◽

Total Yield ◽

Interaction Model ◽

Field Trials ◽

Genotype By Environment Interaction ◽

Yield Potential ◽

High Yield ◽

Environment Interaction ◽

Genotype By Environment

The objective of this study was to assess genotype by environment interaction for seed yield per plant in rapeseed cultivars grown in Northern Serbia by the AMMI (additive main effects and multiplicative interaction) model. The study comprised 19 rapeseed genotypes, analyzed in seven years through field trials arranged in a randomized complete block design, with three replicates. Seed yield per plant of the tested cultivars varied from 1.82 to 19.47 g throughout the seven seasons, with an average of 7.41 g. In the variance analysis, 72.49% of the total yield variation was explained by environment, 7.71% by differences between genotypes, and 19.09% by genotype by environment interaction. On the biplot, cultivars with high yield genetic potential had positive correlation with the seasons with optimal growing conditions, while the cultivars with lower yield potential were correlated to the years with unfavorable conditions. Seed yield per plant is highly influenced by environmental factors, which indicates the adaptability of specific genotypes to specific seasons.

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GENOTYPE BY ENVIRONMENT INTERACTION OF ADVANCED SOYBEAN BREEDING LINES IN LAMPUNG UPLAND SOILS

Zuriat ◽

10.24198/zuriat.v19i1.6701 ◽

2015 ◽

Vol 19 (1) ◽

Author(s):

Darman M. Arsyad ◽

, Purwantoro

Keyword(s):

Genotype By Environment Interaction ◽

Yield Potential ◽

Environment Interaction ◽

Breeding Line ◽

Upland Soil ◽

Soybean Breeding ◽

Breeding Lines ◽

Genotype By Environment ◽

Upland Soils ◽

Plot Design

Availability of adapted cultivars is needed for the development of soybean cultivation in upland soil in Lampung, Sumatra. Twelve advanced soybean breeding lines and two check varieties (Tanggamus and Wilis) were tested on upland soils of Lampung Province. The trials were conducted in the District of Tulangbawang, Central Lampung, East Lampung and South Lampung during the late rainy season of 2003/2004. Two sites were selected per district for a total of eight sites for the four districts. A split plot design with three replications was used within each location. Plot size was 2.4 m x 4.5 m, plant spacing of 40 cm between rows and 15 cm within a row, and two plants per hill. The mainplot was fertilizer: A= Low inputs (22.5 kg N, 27 kg P2O5, and 40 kg K2O per ha), and B=Medium inputs (22.5 kg N, 36 kg P2O5, 53 kg K2O and 0.56 t CaO per ha). The fertilizers were applied before planting. The subplots were 12 soybean breeding lines together with two check soybean varieties. Results showed that soybean yields were affected significantly by locations, fertilizers, breeding lines, location x fertilizer and location x breeding line interactions. Plant height was affected siginificantly by locations, fertilizers, breeding lines and location x breeding interaction. Pods per plant were affected by locations, fertilizers, location x fertilizer and location x breeding line interactions. All breeding lines and varieties were responsive to changing environments. Based on the smallest Pi parameter (the distance mean square between the cultivar’s response and the maximum response averaged over all locations), and the highest frequency of rank, three breeding lines, namely W3465-27-2 (released in 2004 as cv. Ratai), cv. Tanggamus and D3578- 3/K3911-66-3 were identified as wide adaptability genotypes with the yield potential of more than 2.4 t/ha with an average of 1.6 t/ha.

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Integrating statistical and ecophysiological analyses of genotype by environment interaction for grain filling of barley I.

Field Crops Research ◽

10.1016/s0378-4290(99)00006-4 ◽

1999 ◽

Vol 62 (1) ◽

pp. 63-74 ◽

Cited By ~ 34

Author(s):

J. Voltas ◽

F.A. van Eeuwijk ◽

A. Sombrero ◽

A. Lafarga ◽

E. Igartua ◽

...

Keyword(s):

Grain Filling ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Genotype By Environment

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Integrating statistical and ecophysiological analyses of genotype by environment interaction for grain filling of barley II.

Field Crops Research ◽

10.1016/s0378-4290(99)00007-6 ◽

1999 ◽

Vol 62 (1) ◽

pp. 75-84 ◽

Cited By ~ 21

Author(s):

J. Voltas ◽

F.A. van Eeuwijk ◽

J.L. Araus ◽

I. Romagosa

Keyword(s):

Grain Filling ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Genotype By Environment

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Genomic Prediction Accounting for Genotype by Environment Interaction Offers an Effective Framework for Breeding Simultaneously for Adaptation to an Abiotic Stress and Performance Under Normal Cropping Conditions in Rice

G3 Genes|Genome|Genetics ◽

10.1534/g3.118.200098 ◽

2018 ◽

Vol 8 (7) ◽

pp. 2319-2332 ◽

Cited By ~ 9

Author(s):

Manel Ben Hassen ◽

Jérôme Bartholomé ◽

Giampiero Valè ◽

Tuong-Vi Cao ◽

Nourollah Ahmadi

Keyword(s):

Abiotic Stress ◽

Genomic Prediction ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Genotype By Environment ◽

And Performance

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Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

Indian Journal of Genetics and Plant Breeding (The) ◽

10.31742/ijgpb.80.3.15 ◽

2020 ◽

Vol 80 (03) ◽

Author(s):

Om Prakash Yadav ◽

A. K. Razdan ◽

Bupesh Kumar ◽

Praveen Singh ◽

Anjani K. Singh

Keyword(s):

Hordeum Vulgare ◽

Grain Yield ◽

Principal Component ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Hordeum Vulgare L ◽

Genotype By Environment ◽

Biplot Analysis ◽

Principal Component Axis ◽

Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

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