Insights into Genotype × environment interactions affecting essential oil yield and quality stability in Cymbopogon species and genotypes

IF 1.4 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemical Systematics and Ecology Pub Date : 2025-06-19 DOI:10.1016/j.bse.2025.105068

R.K. Lal , C.S. Chanotiya , Rashami Lahiri

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引用次数: 0

Abstract

To explore the stability and chemical composition of essential oil yield in diverse Cymbopogon genotypes, a genotype × environment interaction (GEI) study was conducted using germplasm from the CSIR-CIMAP Lucknow National Gene Bank. Essential oil profiles varied across species: lemongrass (C. citratus) predominantly contained citral (geranial and neral), while Java citronella (C. winterianus) was rich in citronellal, citronellol, and geraniol. Chemotypes such as methyl eugenol, geranyl acetate, and myrcene were also detected. Pooled ANOVA revealed significant effects of genotype (G), environment, and GEI for all traits except X7. IPCA1 was significant for every attribute, indicating the relevance of GEI in trait expression. Correlation analysis showed positive associations between oil content and compounds such as limonene, citronellal, geraniol, and geranyl acetate, while geranial and neral were negatively correlated with essential oil yield. Notably, neral and geranial were positively correlated with each other. For herbage yield, genotypes GEN 12, 1, 7, and 6 performed best; for essential oil content, GEN 12, 1, 7, and 13 were superior. Stability analysis across environments identified GEN 12 and 1 as the most consistent yield traits. GEN 5, 11, 14, and 8 were stable for neral content, and GEN 9, 15, 4, and 5 for geranial. These findings highlight the genetic diversity and stability of select Cymbopogon genotypes, supporting their use in breeding programs and recommending them for pilot-scale cultivation and varietal release aimed at enhanced and stable essential oil production.

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基因型与环境相互作用对香波属植物和基因型精油产量和品质稳定性的影响

为探讨香波草不同基因型精油产量的稳定性和化学成分，利用CSIR-CIMAP勒克诺国家基因库的种质资源进行了基因型-环境互作（GEI）研究。不同物种的精油含量不同：柠檬草（C. citratus）主要含有香茅醛（香茅醛和丁香醛），而爪哇香茅（C. winterianus）富含香茅醛、香茅醛和香叶醇。化学型如甲基丁香酚、香叶乙酸酯和月桂烯也被检测到。汇总方差分析显示，除X7外，基因型(G)、环境和GEI对所有性状均有显著影响。IPCA1在各性状中均显著，说明GEI与性状表达相关。相关分析表明，精油含量与柠檬烯、香茅醛、香叶醇和香叶乙酸酯等化合物呈正相关，而香叶醛和丁香醛与精油得率呈负相关。值得注意的是，general与geranial呈显著正相关。在牧草产量方面，gen12、1、7和6基因型表现最好；精油含量以gen12、1、7、13为优。跨环境稳定性分析表明，GEN 12和GEN 1是最一致的产量性状。GEN 5、11、14和8的总黄酮含量稳定，GEN 9、15、4和5的总黄酮含量稳定。这些发现突出了Cymbopogon基因型的遗传多样性和稳定性，支持了它们在育种计划中的应用，并推荐它们用于中试规模栽培和品种释放，旨在提高和稳定精油产量。

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来源期刊

Biochemical Systematics and Ecology 生物-进化生物学

CiteScore

3.00

自引率

12.50%

发文量

147

审稿时长

43 days

期刊介绍： Biochemical Systematics and Ecology is devoted to the publication of original papers and reviews, both submitted and invited, in two subject areas: I) the application of biochemistry to problems relating to systematic biology of organisms (biochemical systematics); II) the role of biochemistry in interactions between organisms or between an organism and its environment (biochemical ecology). In the Biochemical Systematics subject area, comparative studies of the distribution of (secondary) metabolites within a wider taxon (e.g. genus or family) are welcome. Comparative studies, encompassing multiple accessions of each of the taxa within their distribution are particularly encouraged. Welcome are also studies combining classical chemosystematic studies (such as comparative HPLC-MS or GC-MS investigations) with (macro-) molecular phylogenetic studies. Studies that involve the comparative use of compounds to help differentiate among species such as adulterants or substitutes that illustrate the applied use of chemosystematics are welcome. In contrast, studies solely employing macromolecular phylogenetic techniques (gene sequences, RAPD studies etc.) will be considered out of scope. Discouraged are manuscripts that report known or new compounds from a single source taxon without addressing a systematic hypothesis. Also considered out of scope are studies using outdated and hard to reproduce macromolecular techniques such as RAPDs in combination with standard chemosystematic techniques such as GC-FID and GC-MS.