Agronomic performance and dry matter yield stability of Napier grass (Pennisetum purpureum) genotypes in Southwestern Ethiopia

IF 2 3区 农林科学 Q2 AGRONOMY Agronomy Journal Pub Date : 2024-08-22 DOI:10.1002/agj2.21668
Tesfa Mossie, Kasa Biratu, Hilena Yifred
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Abstract

The study aimed to evaluate the yield performance and stability of 10 Napier grass (Pennisetum purpureum) genotypes. A completely randomized design with three replications was used to assess these genotypes. Genotype and genotype × environment (GGE) interaction and additive main effects and multiplicative interactions (AMMI) biplot models were utilized for analysis. The combined results indicated a significant (p ≤ 0.05) impact on dry matter yield and other agronomic traits. Genotypes and environments contributed to 26.93% and 52.17% of the observed variation in dry matter yield, respectively. The GGE and AMMI biplot models identified promising genotypes based on mean dry matter yield and stability. G3, G1, and G10 genotypes were highlighted as stable with high dry matter yield across different environments compared to others, AMMI analysis also revealed that they had above-average dry matter yield, minimal deviation from the regression line (S2di), and a regression coefficient close to one, which indicated their desirability and stability. Among the 10 genotypes, these Napier grass genotypes were considered the most desirable and stable due to their characteristics. H18 had a longer vector and a small angle with average environmental axis (AEA), making it an ideal environment for selecting superior genotypes accurately. In conclusion, G3 and G1 were identified as ideal genotype candidates for broader utilization under similar environmental conditions.

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埃塞俄比亚西南部纳皮尔草(Pennisetum purpureum)基因型的农艺性能和干物质产量稳定性
该研究旨在评估 10 个拿皮尔草(Pennisetum purpureum)基因型的产量表现和稳定性。对这些基因型的评估采用了三次重复的完全随机设计。利用基因型和基因型×环境(GGE)交互作用以及加性主效应和乘性交互作用(AMMI)双图模型进行分析。综合结果表明,基因型对干物质产量和其他农艺性状有显著影响(p ≤ 0.05)。在观察到的干物质产量变异中,基因型和环境分别占 26.93% 和 52.17%。根据平均干物质产量和稳定性,GGE 和 AMMI 双图模型确定了有潜力的基因型。与其他基因型相比,G3、G1 和 G10 基因型在不同环境下的干物质产量较高,稳定性突出;AMMI 分析还显示,这些基因型的干物质产量高于平均水平,与回归线(S2di)的偏离最小,回归系数接近 1,这表明它们具有可取性和稳定性。在 10 个基因型中,这些纳皮尔草基因型因其特性而被认为是最理想和最稳定的。H18 的矢量较长,与平均环境轴(AEA)的夹角较小,是准确筛选优良基因型的理想环境。总之,G3 和 G1 被确定为在类似环境条件下更广泛利用的理想候选基因型。
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来源期刊
Agronomy Journal
Agronomy Journal 农林科学-农艺学
CiteScore
4.70
自引率
9.50%
发文量
265
审稿时长
4.8 months
期刊介绍: After critical review and approval by the editorial board, AJ publishes articles reporting research findings in soil–plant relationships; crop science; soil science; biometry; crop, soil, pasture, and range management; crop, forage, and pasture production and utilization; turfgrass; agroclimatology; agronomic models; integrated pest management; integrated agricultural systems; and various aspects of entomology, weed science, animal science, plant pathology, and agricultural economics as applied to production agriculture. Notes are published about apparatus, observations, and experimental techniques. Observations usually are limited to studies and reports of unrepeatable phenomena or other unique circumstances. Review and interpretation papers are also published, subject to standard review. Contributions to the Forum section deal with current agronomic issues and questions in brief, thought-provoking form. Such papers are reviewed by the editor in consultation with the editorial board.
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