The genus Ocimum plays a vital role in food, flavor, and fragrance. The impactful phenylpropanoids and terpenoids class provide a range of odor for flavor applications. In the present investigations, the genetic diversity estimated on the forty-three genotypes belongs to the five Ocimum species. The Additive main effects and multiplicative interaction analysis used across the years on the selected diverse genotypes. This study's objectives were 1) Selection of diverse Ocimum genotypes through genetic diversity and, 2) to understand genotype × environment interactions accurately in the selected genotypes for the different economic traits. The experiment was laid out in a randomized completely block design with three replications. Results revealed significant environmental influence on the essential oil yield and other essential oil yield contributing traits. Genotypes, years, and genotype × year interactions also influenced most of the economic traits. The economic characters alone were not enough to predict essential oil yield. Based on the genetic diversity and mean performance of essential oil yield eleven genotypes namely G1, G7, G10, G11, G14, G16, G19, G23, G30, G37, and G38 were selected from the set of forty-three genotypes of Ocimum. The Additive main effects and multiplicative interaction analysis is used for a further selection of the stable genotypes. The essential oil of different Ocimum genotypes indicated different major aroma chemicals such as estragole, (-) linalool, β-ocimene, and chavibetol, etc. The present study identified the genotypes, namely G1 for high fresh herb yield; G38, G7, G1, G37, and G23 for the high essential oil yield; G30 and G16 for high methyl chavicol content (%), and G38 for high (-) linalool content and high essential oil yield with high stability in the North Indian plains.

Ocimum属在食物，风味和香气中起着至关重要的作用。有影响力的苯基丙烷和萜类化合物为调味应用提供了多种气味。在目前的调查中，在43种基因型上估计的遗传多样性属于5个Ocimum物种。多年来对选定的多种基因型使用的加性主要效应和乘法相互作用分析。这项研究的目标是1）选择不同的罗汉果通过遗传多样性进行基因型分析； 2）准确了解所选基因型中不同经济性状的基因型×环境相互作用。实验以随机重复的完全区组设计进行，并进行了三个重复。结果表明，环境对精油得率和其他精油得率贡献特征具有重大影响。基因型，年份和基因型×年的相互作用也影响了大多数经济特征。单凭经济特征还不足以预测精油产量。根据精油产量的遗传多样性和平均性能，从43种Ocimum基因型中选择了11种基因型，即G1，G7，G10，G11，G14，G16，G19，G23，G30，G37和G38。加性主效应和乘性相互作用分析用于进一步选择稳定的基因型。不同Ocimum基因型的精油显示出不同的主要香气化学物质，例如雌花草素，（-）芳樟醇，β-ocimene和Chavibetol等。G38，G7，G1，G37和G23代表高精油产率；在北印度平原，G30和G16代表高甲基查维醇含量（％），G38代表高（-）芳樟醇含量和高精油产率，且稳定性高。