Genotype and environmental interactions determine the root digging time and essential oil production in vetiver (Chrysopogon zizanioides (L.) Roberty)

Q3 Agricultural and Biological Sciences Ecological Genetics and Genomics Pub Date : 2024-08-27 DOI:10.1016/j.egg.2024.100290
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Abstract

Thirty different vetiver genotypes were grown for evaluation in the experiments at CSIR- Central Institute for Medicinal and Aromatic Plants (CSIR-CIMAP), Lucknow, U.P. 226015, India, to assess the impact of genotype × environment interactions (GEI) on essential oil yield and chemical composition in vetiver lines grown in north India, as well as identifying appropriate genotypes and representative root digging times throughout the year for essential oil production. The interplay of genotype and environment is a significant constraint in crop development. The additive main effects and multiplicative interaction (AMMI) and the analysis of variance (ANOVA) revealed significant effects for genotype (G), environment (E), and genotype × environment (GE) (p < 0.01). The primary root transverse section confirmed the changes in cortical sclerenchyma thickness and variety observed in the dug-out roots from different vetiver genotypes after six and twelve months. The quantity and number of sclerenchyma rows in the peripheral cortical region vary throughout vetiver genotypes. Following root digging, one component (Khusol content) had 40 %, while Khusilal content had 20 % for genotype VTR-23. However, after twelve months, Khusol content had 19 %, whereas Khusilal content had 41 %. The shift in essential oil makeup was apparent. The level of essential oil did not alter considerably. Based on the GGE biplot analysis, VTR-1, 11, and 14 were identified as the most stable genotypes with high essential yields; therefore, it is recommended to use these genotypes in India's enormous agriculture.

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基因型和环境相互作用决定了香根草(Chrysopogon zizanioides (L.) Roberty)的根挖掘时间和精油产量
在印度勒克瑙药用和芳香植物中央研究所(CSIR-CIMAP)(CSIR-CIMAP, Lucknow, U.P. 226015)进行的实验中,种植了 30 种不同的香根草基因型进行评估,以评估基因型与环境相互作用(GEI)对印度北部香根草品系精油产量和化学成分的影响,并确定全年精油生产的适当基因型和代表性根部挖掘时间。基因型与环境的相互作用是作物生长过程中的一个重要制约因素。加法主效应和乘法交互作用(AMMI)和方差分析(ANOVA)显示,基因型(G)、环境(E)和基因型×环境(GE)均有显著影响(p < 0.01)。主根横切面证实了不同香根草基因型的挖出根在 6 个月和 12 个月后皮层细丝厚度和种类的变化。不同香根草基因型的外围皮层区域的细支脉数量和行数各不相同。根部挖掘后,一个成分(Khusol 含量)为 40%,而基因型 VTR-23 的 Khusilal 含量为 20%。然而,12 个月后,香根草精油的 Khusol 含量为 19%,而 Khusilal 含量为 41%。精油构成的变化是显而易见的。精油含量变化不大。根据 GGE 双图谱分析,VTR-1、11 和 14 被确定为最稳定的基因型,其精油产量高;因此,建议在印度的大型农业中使用这些基因型。
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来源期刊
Ecological Genetics and Genomics
Ecological Genetics and Genomics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.80
自引率
0.00%
发文量
44
期刊介绍: Ecological Genetics and Genomics publishes ecological studies of broad interest that provide significant insight into ecological interactions or/ and species diversification. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are shared where appropriate. The journal also provides Reviews, and Perspectives articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context. Topics include: -metagenomics -population genetics/genomics -evolutionary ecology -conservation and molecular adaptation -speciation genetics -environmental and marine genomics -ecological simulation -genomic divergence of organisms
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