Yield stability of soybean promising lines across environments

Krisnawati, Ayda; Adie, M. Muchlish

doi:10.1088/1755-1315/102/1/012044

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…Some of the high yielding faba bean genotypes reported in the present study were sensitive to environmental changes. Similar results were also obtained in other crops such as soybean [80,81].…”

Section: Discussionsupporting

confidence: 86%

Adaptability and Stability of Faba Bean (Vicia faba L.) Accessions under Diverse Environments and Herbicide Treatments

Abou-Khater¹,

Maalouf²,

Jighly

et al. 2022

Plants

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The adaptability and stability of 37 faba bean (Vicia faba L.) accessions with different levels of tolerance to metribuzin or imazethapyr was assessed across 12 season–location–herbicide experiments. Significant Genotype x environment (GE) interaction was found for the days to flowering (DFLR), plant height (PLHT) and grain yield (GY). Performance and stability of the accessions regarding PLHT and GY were assessed using four different stability parameters: cultivar superiority, static stability, Wricke’s eco-valence and Finlay and Wilkinson’s regression model. The stability parameters ranked these genotypes differently suggesting that PLHT and GY stability should be assessed not only on a single or a few stability parameters but on a combination of them. GGE biplot analysis indicated that the environments representing metribuzin treatment at Marchouch 2014–2015 and the non-treated treatment at Terbol 2018–2019 are the ideal environments for evaluating faba bean genotypes. GGE biplots showed herbicide tolerant accession IG12983 with simultaneous average PLHT, GY and stability across the environments. The performance of other tolerant accessions, namely IG13945, IG13906, IG106453, FB2648, and FB1216 was less stable but superior under specific mega environments. Therefore, utilizing these accessions in faba bean breeding programs would help broaden the adaptability to diverse locations–season–herbicide treatments.

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Section: Discussionsupporting

confidence: 86%

Adaptability and Stability of Faba Bean (Vicia faba L.) Accessions under Diverse Environments and Herbicide Treatments

Abou-Khater¹,

Maalouf²,

Jighly

et al. 2022

Plants

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“…The GEI contributed more at 24.04% of total SS. The smaller proportions of genotype and larger proportions of environment and GEI factors reflected similar figures from some stability analysis studies in Indonesian soybean [12][13][14]. a higher yield than G14 (Detam 1) based on least significant difference (LSD) α = 5%.…”

Section: Grain Yield Performance Accross Multiple Environmentssupporting

confidence: 72%

Yield and seed size stability analysis of black soybean lines derived from gamma rays irradiation

Iqbal

Tarmizi

Arwin

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The development of black soybean superior varieties is still limited despite its importance in Indonesian cuisine. The gamma rays radiation can be utilized to develop new genetic materials derived from the existing cultivar. National black soybean variety Detam 1 was irradiated as the parental line to produce mutant lines for breeding material. This research was performed to identify the stable and superior genotypes from 13 candidate mutant lines tested in eight environments using stability parameters. Three genotypes showed significant superiority compared to wild-type parent, namely G5, G6, and G12 which showed an average yield of 2.99 t/ha, 3.21 t/ha, and 2.95 t/ha respectively. Based on the Finlay-Wilkinson stability test, 8 lines were considered stable yet only 4 can be further satisfied Eberhard-Russel method, namely G2, G5, G6, and G10. In comparison, stability analysis using AMMI suggested different stable lines: G2, G7, and G12. From this list, G12 and G6 also showed a beneficial large-sized seed trait significantly larger than the parent at 18.00 g and 18.96 g per 100 seeds, respectively.

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“…The environment with the least discrimination but the most representation for the majority of attributes was E3 ( Figure 7D ). The large environmental difference suggested that there were genotypic variations in adaptation ( Krisnawati and Adie, 2018 ). Regarding the stability of yield attributes, genotypes also varied greatly.…”

Section: Discussionmentioning

confidence: 99%

Analysis of genotype × environment interactions for agronomic traits of soybean (Glycine max [L.] Merr.) using association mapping

et al. 2023

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The soybean yield is a complex quantitative trait that is significantly influenced by environmental factors. G × E interaction (GEI), which derives the performance of soybean genotypes differentially in various environmental conditions, is one of the main obstacles to increasing the net production. The primary goal of this study is to identify the outperforming genotypes in different latitudes, which can then be used in future breeding programs. A total of 96 soybean genotypes were examined in two different ecological regions: Faisalabad and Tando Jam in Pakistan. The evaluation of genotypes in different environmental conditions showed a substantial amount of genetic diversity for grain yield. We identified 13 environment-specific genotypes showing their maximum grain yield in each environment. Genotype G69 was found to be an ideal genotype with higher grain yield than other genotypes tested in this study and is broadly adapted for environments E1 and E2 and also included in top-yielding genotypes in E3, E4, and E5. G92 is another genotype that is broadly adapted in E1, E3, and E4. In the case of environments, E3 is suggested to be a more ideal environment as it is plotted near the concentric circle and is very informative for the selection of genotypes with high yield. Despite the presence of GEI, advances in DNA technology provided very useful tools to investigate the insight of advanced genotypes. Association mapping is a useful method for swiftly and efficiently investigating the genetic basis of significant plant traits. A total of 26 marker–trait associations were found for six agronomic traits in five environments, with the highest significance (p-value = 2.48 × 10–08) for plant height and the lowest significance (1.03 × 10–03) for hundred-grain weight. Soybean genotypes identified in the present study could be a valuable source for future breeding programs as they are adaptable to a wide range of environments. Genetic selection of genotypes with the best yields can be used for gross grain production in a wide range of climatic conditions, and it would give an essential reference in terms of soybean variety selection.

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Yield stability of soybean promising lines across environments

Cited by 8 publications

References 21 publications

Adaptability and Stability of Faba Bean (Vicia faba L.) Accessions under Diverse Environments and Herbicide Treatments

Adaptability and Stability of Faba Bean (Vicia faba L.) Accessions under Diverse Environments and Herbicide Treatments

Yield and seed size stability analysis of black soybean lines derived from gamma rays irradiation

Analysis of genotype × environment interactions for agronomic traits of soybean (Glycine max [L.] Merr.) using association mapping

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