Thakur Nikhil, Sharma Deepa, Kaur Jasdeep, Sharma Vinit
Department of Vegetable Science, Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Solan, 173230, Himachal Pradesh, India.
Department of Vegetable Science, College of Horticulture and Forestry, Neri Hamirpur, Dr. Y.S Parmar University of Horticulture and Forestry, Nauni, Solan, 177001, Himachal Pradesh, India.
Sci Rep. 2025 Aug 5;15(1):28524. doi: 10.1038/s41598-024-83454-9.
The current investigation, titled "Genotype x Environment interaction of tomato (Solanum lycopersicum L.) genotypes using GGE biplot analyses," was carried out 2022-23 across three locations in Himachal Pradesh, India through GGE biplot analysis. Hence, the present investigation was carried out to identify high yielding stable genotypes among various genotypes. The material consists of 10 tomato genotypes including check i.e. Solan Lalima. The experiment was laid out in a RCBD. The data were recorded and analyzed to work out mean performances and the inferences were drawn for parameters of variability, correlation coefficients, path coefficients, stability analysis and GGE biplot. High PCV and GCV were recorded for fruit yield per plant and various other traits. Heritability and genetic advance were recorded maximum for number of fruits per cluster in E1, number of fruit clusters per plant in E2 and number of fruit clusters per plant, number of fruits per cluster were recorded maximum in E3 locations. Correlation coefficients showed that number of fruits per plant and average fruit weight were positively and significantly correlated with fruit yield per plant. Path coefficient analysis in E1, E2 and E3 locations showed that average fruit weight had the highest positive direct effect on fruit yield per plant. The pooled data over environments were analyzed to estimate the interaction effects between genotypes × environment. The mean sum of squares due to genotypes, environments and genotypes × environment interaction were significant for all the traits. Genotypes, namely EC-635,526, EC-687,423, COHF-T-1, COHF-T-2, and COHF-T-3, emerged as the top performers in terms of fruit yield per plant across different environments. By employing the Eberhart and Russell model, these genotypes exhibited broad adaptability and predictability for fruit yield per plant. Additionally, the GGE biplot analysis identified environments E3 (Bajaura) and E2 (Neri) as representative and discriminative, facilitating the selection of genotypes well-suited to specific conditions. Particularly noteworthy were genotypes G3 (EC-687423) in E1 and E3, G6 (COHF-T-1) followed by G8 (COHF-T-3), G9 (COHF-T-4) in E2, as they were positioned on the vertices of the polygon, indicating their reliability and stability across all environments regarding fruit yield per plant in responsive conditions.
当前这项名为“利用GGE双标图分析番茄（Solanum lycopersicum L.）基因型的基因型×环境互作”的研究，于2022 - 2023年在印度喜马偕尔邦的三个地点通过GGE双标图分析开展。因此，本次研究旨在从各种基因型中鉴定出高产稳定的基因型。材料包括10个番茄基因型，包括对照品种即索兰·拉利马（Solan Lalima）。试验采用随机区组设计。记录并分析数据以得出平均表现，并针对变异参数、相关系数、通径系数、稳定性分析和GGE双标图得出推论。单株果实产量和其他各种性状的表型变异系数（PCV）和遗传变异系数（GCV）较高。在E1地点，每穗果实数的遗传力和遗传进度最高；在E2地点，单株果穗数的遗传力和遗传进度最高；在E3地点，单株果穗数和每穗果实数的遗传力和遗传进度最高。相关系数表明，单株果实数和平均单果重与单株果实产量呈显著正相关。E1、E2和E3地点的通径系数分析表明，平均单果重对单株果实产量具有最高的正向直接效应。对不同环境下的合并数据进行分析，以估计基因型×环境之间的互作效应。所有性状的基因型、环境以及基因型×环境互作的均方和均显著。在不同环境下，基因型EC - 635526、EC - 687423、COHF - T - 1、COHF - T - 2和COHF - T - 3在单株果实产量方面表现突出。通过采用埃伯哈特和拉塞尔模型，这些基因型对单株果实产量表现出广泛的适应性和可预测性。此外，GGE双标图分析确定E3（巴贾拉）和E2（内里）环境具有代表性和区分性，有助于选择适合特定条件的基因型。特别值得注意的是，在E1和E3环境中的基因型G3（EC - 687423）、在E2环境中G6（COHF - T - 1）其次是G8（COHF - T - 3）、G9（COHF - T - 4），因为它们位于多边形的顶点，表明它们在响应条件下关于单株果实产量在所有环境中都具有可靠性和稳定性。
