Genotype–Environment Interaction, Megaenvironments and Two-Table Coupling Methods for Sugarcane Yield Studies in Venezuela

Rea, Ramón; Sousa-Vieira, Orlando De; Díaz, A.; Ramón, Miguel Calvo; Briceño, Rosaura; George, José; Niño, Milagros; Balzano‐Nogueira, Leandro

doi:10.1007/s12355-015-0407-9

Cited by 9 publications

(8 citation statements)

References 13 publications

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“…The lines traced perpendicularly to each side of the polygon form location groups of similar behavior called mega-environments (ME). According to Rea et al (2016) who evaluated twenty genotypes in eight locations for cane yield using GGE biplot, agree with our results, as they also found grouping into two mega-environments.…”

Section: Discussionsupporting

confidence: 91%

“…Genotypes placed near the plot origin were less responsive than genotypes far from it (Yan & Tinker, 2006). The angle between the vectors of genotype i and environment j tells us something about its nature: the interaction is positive for acute angles, negligible for right angles, and negative for obtuse angles (Rea et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…These techniques include joint regression (JR), additive main effects and multiplicative interaction (AMMI) analyses, and site regression model (SREG) (Rea, Sousa-Vieira, Díaz, Ramón, Briceño, George, … & Balzano-Nogueira, 2016;Yan & Falk, 2002 (Gitonga, Ojwang, Macharia, & Njau, 2016) and Orobanche spp. in Vicia faba (Rubiales, Flores, Emeran, Kharrat, Amri, RojasMolina & Sillero, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Genotype by environment interactions for damage caused by Diatraea spp. borers in sugarcane

et al. 2018

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Genotype by environment interactions for damage caused by AbstractDiatraea spp. (Lepidoptera: Crambidae) or sugarcane stem borers are important sugarcane pests in Venezuela. The use of resistant cultivars is part of an integrated management to control these insects in many countries. The aim of this study was to evaluate a group of sugarcane genotypes for Diatraea damage in several environments, and to assess the interaction among damage caused by Diatraea and yield components. Data were collected from five sugarcane field trials located in plots belonging to the Venezuelan Sugarcane Breeding Program. Twenty genotypes were evaluated for Diatraea damage in a completely randomized block design with three replicates. AMMI and GGE biplot analyses were executed for infestation intensity (II). Genotypes that showed best stability, good yield and low damage from Diatraea spp. across environments were V99-236, V00-50 and V99-190. Cultivar CP74-2005 was the most affected by injuries of sugarcane stem borers throughout locations. Intensity of infestation (II) and index of damage (ID) were highly associated. Furthermore, high intensity of infestation (II) and index of damage (ID) caused by Diatraea disturbed the Pol % cane of the genotypes.Keywords: Genetic phenomena; control methods; AMMI; GGE biplot; stable resistance; mega-environments. ResumenLos taladradores de la caña de azúcar Diatraea spp. (Lepidoptera: Crambidae) son importantes plagas de la caña de azúcar en Venezuela. El uso de cultivares resistentes forma parte del manejo integrado para el control de esos insectos en muchos países. Los objetivos de este trabajo fueron evaluar un grupo de genotipos de caña de azúcar a los daños de Diatraea spp. en varios ambientes y determinar la interacción entre los daños causados por el complejo de insectos del genero Diatraea y los componentes de rendimiento. Los datos fueron recolectados en cinco localidades evaluadas por el programa venezolano de mejoramiento de la caña de azúcar. Veinte genotipos fueron evaluados al daño de Diatraea spp. en cinco localidades en un diseño de bloques al azar con tres repeticiones. La tasa de intensidad de infestación (II) causada por Diatraea spp. fue analizada mediante los modelos AMMI y GGE biplot. Los genotipos más recomendados por su estabilidad, buen rendimiento y menor daño por taladradores del tallo a través de los ambientes fueron: V99-236, V00-50 y V99-190. El cultivar CP74-2005 fue el más afectado por el daño de Diatraea spp. a través de las localidades. La intensidad de la infestación (II) y el índice de daño (ID) estuvieron altamente asociados. Altas tasas de intensidad de infestación (II) e índice de daño (ID) causado por Diatraea afectaron el Pol % caña de los genotipos. Palabras clave: Fenómeno

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genotype by environment interactions for damage caused by Diatraea spp. borers in sugarcane

et al. 2018

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“…The AMMI biplot allows the visualization of the main effects of the soil tillage methods and years, in addition to the most important SY interactions. The AMMI model was often used in study of many species (Berti et al 2010;Hristov et al 2010;Mehari et al 2015;Abakemal et al 2016;Edwards 2016;Rea et al 2016;Nowosad et al 2017).…”

Section: Resultsmentioning

confidence: 99%

Soil tillage methods by years interaction for dry matter of plant yield of maize (Zea mays L.) using additive main effects and multiplicative interaction model

Bocianowski

Szulc

Nowosad

2018

Journal of Integrative Agriculture

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“…The presence of GEI was indicated by the differential ranking of genotypes over the various environments. Thus, this occurrence will reduce the correlation between phenotypic and genotypic values and complicates the selection process of the best genotypes (Rea et al, 2016). GEI can be formed as qualitative (crossover) interaction or quantitative (noncrossover) interaction.…”

Section: Kata Kunci: Biplot Gge Glycine Max Hasil Biji Interaksi Gementioning

confidence: 99%

Yield Stability of Soybean Genotypes in Tropical Environments based on Genotype and Genotype-by-Environment Biplot

Krisnawati

Adie

2019

J Agron Indonesia

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Genotype × environment interaction is universal phenomenon when different genotypes are tested in a number of environments. The objective of this experiment was to determine the seed yield stability of soybean genotypes. Seven soybean genotypes and two check cultivars were evaluated at eight soybean production centers during the dry season 2015. Stability analysis on seed yield was based on the GGE biplot method. The combined analysis showed that yield and yield components were significantly affected by genotype (G), environments (E), and genotype × environment interaction (GEI), except for number of filled pods. The highest yield was G6 (3.07 ton ha-1), followed by G7 (2.93 ton ha-1). The “which-won-where” polygon mapping resulted two mega-environments. The best genotype for the first mega-environment was G1 (G511H/Anjasmoro//Anjasmoro-2-8) at E5 (Pasuruan2); and the second one was G6 (G511 H/Anj//Anj///Anj////Anjs-6-7) at E1 (Nganjuk), E2 (Mojokerto), E3 (Blitar), E4 (Pasuruan1), E6 (Jembrana), E7 (Tabanan), and E8 (Central Lombok). The G7 (G511 H/Anjasmoro-1-4-2) was closest to ideal genotype as indicated by relatively stable and produced high yield across environments. The analysis of multi-environment trials data using GGE is useful for determining mega-environment analysis and stability of genotype which focusing on overall performance to identify superior genotypes.Keywords: GE interaction, GGE biplot, Glycine max, seed yield

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Genotype–Environment Interaction, Megaenvironments and Two-Table Coupling Methods for Sugarcane Yield Studies in Venezuela

Cited by 9 publications

References 13 publications

Genotype by environment interactions for damage caused by Diatraea spp. borers in sugarcane

Genotype by environment interactions for damage caused by Diatraea spp. borers in sugarcane

Soil tillage methods by years interaction for dry matter of plant yield of maize (Zea mays L.) using additive main effects and multiplicative interaction model

Yield Stability of Soybean Genotypes in Tropical Environments based on Genotype and Genotype-by-Environment Biplot

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