Genotype-by-environment interactions (GEIs) and evaluate superior sweet potato (Ipomoea batatas [L.] Lam) using combined analysis and GGE biplot

Maulana, Haris; Solihin, Eso; Trimo, Lucyana; Hidayat, Syarif; Wijaya, Acep Atma; Hariadi, Hari; Amien, Suseno; Ruswandi, Dedi; Karuniawan, Agung

doi:10.1016/j.heliyon.2023.e20203

Cited by 9 publications

(8 citation statements)

References 51 publications

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“…Similar results were found in Adham et al, Alizadeh et al, and Ansarifard et al that the environment accounted for most of the variance [16,35,36]. Additionally, the GEI effect is largely a response to environmental factors, not genotypic factors [37]; thus, the significant GEI factors demonstrated that the use of AMMI and the GGE biplot was appropriate in yield evaluation [38].…”

Section: Yield Performance Evaluationsupporting

confidence: 86%

Influence of Genotype × Environment Interaction on Yield Stability of Maize Hybrids with AMMI Model and GGE Biplot

Ma,

Liu,

2024

Agronomy

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Maize yields perform differently in different environments, so the selection of suitable genotypes in diverse environments is essential for variety selection to enable better site-specific planting. Hence, the objective of the study was to estimate the productivity of 11 maize hybrids (G) in 10 different environments (E) and select high-yield and stable varieties for adaptive cultivation in 2022 and 2023. The combined analysis of variance showed that G (4%), E (50%), and their interaction (31%) had a significant effect (p < 0.01) on maize yield, with E factors contributing the most. In addition, the average yield ranged from 9398 kg/ha to 10,574 kg/ha, and ZF-2208 and DY-519 performed relatively well in both years. The AMMI model showed that the varieties DY-213, DY-605, and DY-519 had high and stable production in 2022, whereas it was ZF-2209 and LX-24 in 2023. The “W-W-W” biplot showed that DY-519 and JG-18 were the optimal varieties in 2022, and ZF-2208 and ZF-2210 were optimal in 2023. The “mean vs. stability” biplot indicated that JG-18, DY-605, and DY-213 (in 2022) and ZF-2208, LX-24, and ZF-2209 (in 2023) were the optimal varieties. Additionally, both the discrimination and representative biplot and the ranking biplot reflected that BinChuan and ShiDian (in 2022) and GengMa and YongSheng (in 2023) were the ideal test environments. In conclusion, DY-519, DY-605, ZF-2208, and LX-24 hybrids could be used for variety promotion. Moreover, BinChuan, ShiDian, GengMa, and YongSheng were the ideal test environments for selecting varieties. Therefore, the AMMI model and GGE biplot can be used to complement each other for a comprehensive evaluation of maize yield. In this way, excellent maize hybrids with high yield and stability can be selected, which could promote the selection and popularization of varieties and shorten the breeding process.

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Section: Yield Performance Evaluationsupporting

confidence: 86%

Influence of Genotype × Environment Interaction on Yield Stability of Maize Hybrids with AMMI Model and GGE Biplot

Ma,

Liu,

2024

Agronomy

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“…The interaction pattern between each variety and the planting environment is also likely to have an impact on the difference (Table 4). The emergence of GEIs in multienvironment trials, necessitates further testing to identify the best varieties and representative environments (Maulana et al 2023). Each environment has different soil and weather conditions.…”

Section: Discussionmentioning

confidence: 99%

“…There are many local sweet potato genetic variations in Indonesia with diverse yield and quality potential (Maulana et al 2022). One of the sweet potato centers in Indonesia is West Java (Maulana et al 2023) with a very famous sweet potato variety, Cilembu sweet potato. Cilembu variety has its own characteristics, especially its sweet taste, and it produced honey-like caramelization when roasted.…”

Section: Introductionmentioning

confidence: 99%

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Selection for representative environment to identify high yielding and sweetness levels of sweet potato (Ipomoea batatas L.) in Indonesia

SOLIHIN,

SANTOSA,

NUGROHO

et al. 2024

Biodiversitas

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Abstract. Solihin E, Santosa DA, Nugroho B, Purwono, Sudirja R, Maulana H, Kamaluddin NN, Karuniawan A, Anwar S. 2024. Selection for representative environment to identify high yield and sweetness levels of sweet potato (Ipomoea batatas) in Indonesia. Biodiversitas 25: 386-391. Sweet potato is one of the important and commercial agricultural commodities in the world. Yield and sweetness levels are important traits that can influence consumer preferences. Environment is an important factor in the development of sweet potatoes. A suitable environment will provide high yields and good quality. The objectives of this study were to examine the significance and relevance of sweet potato yield and sweetness levels in two locations (Sumedang and Bandung District) and to select representative environments for sweet potato yield and sweetness levels. The research was conducted in Sumedang and Bandung districts on lowland paddy field and dry land. The field experiment used a factorial randomized completed block design with three repetitions. The significance and relevance of sweet potato yield and sweetness levels was analysis using T-test. Representative environments were identified by GGE biplot. The results showed that the Bandung and Sumedang environments showed significant differences in yield but not in sweetness. The Bandung paddy field is the most representative environment for yield, while the Sumedang dry field and Bandung dry field are the most representative environments for sweetness. The results of this research can be used by researchers, farmers and industrial users in the sweet potato development program, especially the yield and yield quality.

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“…In sweet potatoes, the sweetness level is one of the consumer parameters in choosing and consuming them. Yields and yield quality are greatly influenced by genetics, environment, and their interactions [1] . In other research, differences in planting environment caused differences in the yield quality, especially the sweetness level of sweet potatoes [2] .…”

Section: Introductionmentioning

confidence: 99%

Invertase-producing bacteria and the sweetness content dataset of Cilembu sweet potatoes (Ipomoea batatas (L.) Lam.) grown in various agroecosystems

Solihin,

Anwar,

Santosa

et al. 2024

Data in Brief

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Genotype-by-environment interactions (GEIs) and evaluate superior sweet potato (Ipomoea batatas [L.] Lam) using combined analysis and GGE biplot

Cited by 9 publications

References 51 publications

Influence of Genotype × Environment Interaction on Yield Stability of Maize Hybrids with AMMI Model and GGE Biplot

Influence of Genotype × Environment Interaction on Yield Stability of Maize Hybrids with AMMI Model and GGE Biplot

Selection for representative environment to identify high yielding and sweetness levels of sweet potato (Ipomoea batatas L.) in Indonesia

Invertase-producing bacteria and the sweetness content dataset of Cilembu sweet potatoes (Ipomoea batatas (L.) Lam.) grown in various agroecosystems

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