دورية أكاديمية
AMMI and GGE biplot analysis for genotype × environment interactions affecting the yield and quality characteristics of sugar beet.
| العنوان: | AMMI and GGE biplot analysis for genotype × environment interactions affecting the yield and quality characteristics of sugar beet. |
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| المؤلفون: | Dang X; Academy of Modern Agriculture and Ecology Environment, Heilongjiang University, Harbin, Heilongjiang, China., Hu X; Academy of Modern Agriculture and Ecology Environment, Heilongjiang University, Harbin, Heilongjiang, China.; National Sugar Improvement Center, Harbin, Heilongjiang, China., Ma Y; Academy of Modern Agriculture and Ecology Environment, Heilongjiang University, Harbin, Heilongjiang, China.; National Sugar Improvement Center, Harbin, Heilongjiang, China., Li Y; Academy of Modern Agriculture and Ecology Environment, Heilongjiang University, Harbin, Heilongjiang, China.; National Sugar Improvement Center, Harbin, Heilongjiang, China., Kan W; Heilongjiang Academy of Agricultural Reclamation Sciences, Qiqihar, Heilongjiang, China., Dong X; Cash Crop Research Institute of Xinjiang Academy of Agricultural Science, Urumqi, Xinjiang, China. |
| المصدر: | PeerJ [PeerJ] 2024 Feb 22; Vol. 12, pp. e16882. Date of Electronic Publication: 2024 Feb 22 (Print Publication: 2024). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: PeerJ Inc Country of Publication: United States NLM ID: 101603425 Publication Model: eCollection Cited Medium: Internet ISSN: 2167-8359 (Electronic) Linking ISSN: 21678359 NLM ISO Abbreviation: PeerJ Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Corte Madera, CA : PeerJ Inc. |
| مواضيع طبية MeSH: | Ammi* , Beta vulgaris*/genetics, Gene-Environment Interaction ; Plant Breeding/methods ; Genotype ; Sugars |
| مستخلص: | Sugar beet, an important sugar crop, contributes significantly to the world's sugar production. However, genotype-environment interactions (GEI) often affect the quality characteristics of sugar beet. Hence, understanding the effects of GEI on sugar beet quality can aid in identifying high-quality genotypes that can adapt to different environments. Traditional variance analysis can only be used to examine the yield of a variety and not its specific adaptability to specific conditions. Therefore, more comprehensive analytical methods are required to evaluate the characteristics of the variety under specific environments. Additive main effects and multiplicative interaction (AMMI) and genotype main effect and genotype × environment interaction (GGE) biplot models can be employed to comprehensively evaluate different varieties and address the drawbacks associated with a single evaluation method. Moreover, these models also allow us to explore new varieties more objectively and comprehensively. In this study, the adaptability and stability of 16 sugar beet varieties, in terms of yield and sugar content, were evaluated using AMMI and GGE biplot analysis in seven pilot projects undertaken in 2022. In the assessment of a small but significant proportion of the total GEI variance for the two qualitative traits (yield and sugar content), 80.58% of the variance was explained by the cumulative contribution of IPC1, IPC2, and IPC3. AMMI and GGE biplots clearly highlighted that KWS4207 (G3) exhibited high and stable quality. They also demonstrated that the experiments in Jalaid Banner (Inner Mongolia) (E7) were the most representative. Together, the results suggested that the comprehensive application of AMMI and GGE biplot analysis allowed for a more comprehensive, scientific, and effective evaluation of sugar beet varieties across different regions. The findings offer a theoretical basis for sugar beet breeding and could guide the rational design of experiments for testing new varieties of sugar beet. Competing Interests: The authors declare that they have no competing interests. (© 2024 Dang et al.) |
| References: | Environ Biosafety Res. 2003 Apr-Jun;2(2):105-15. (PMID: 15612276) J Appl Genet. 2019 May;60(2):127-135. (PMID: 30877656) BMC Genomics. 2021 Jan 2;22(1):2. (PMID: 33388036) |
| فهرسة مساهمة: | Keywords: AMMI; GGE biplot; Quality; Stability; Sugar beets |
| المشرفين على المادة: | 0 (Sugars) |
| تواريخ الأحداث: | Date Created: 20240226 Date Completed: 20240227 Latest Revision: 20240227 |
| رمز التحديث: | 20240227 |
| مُعرف محوري في PubMed: | PMC10894595 |
| DOI: | 10.7717/peerj.16882 |
| PMID: | 38406295 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2167-8359 |
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| DOI: | 10.7717/peerj.16882 |