Influence of genotypes and environment on eggplant yield

J. Damnjanovic, S. Pavlović, Z. Girek, S. Savić, M. Ugrinović, M. Brdar-Jokanović, N. Pavlović
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Abstract

One of the goals in eggplant breeding (Solanum melongena L .) is higher yield, as well as adaptation to different environments. Our study included 20 different eggplant genotypes. The experiment was conducted at three different locations (Smederevska Palanka, Vranovo and Kusadak) using a randomized complete block design in three replications. The influence of two factors on yield per plant was examined: genotype and location. Two-factor ANOVA showed a significant influence of genotype, location as well as genotype x location interaction on yield per plant . After the analysis of 20 genotypes at three different locations, the recorded average yield per plant was 2 .47 kg. Significantly higher yields per plant than the general average were recorded for genotypes K13 (3 .02 kg), K20 (2 .99 kg), K21 (3 .44 kg), K34 (4 .35 kg), K39 (4 .28 kg). The hig-hest yield had the genotype K34 at the location Vranovo (4 .71 kg). At the locatio of Smederevska Palanka, genotype K39 had the highest average value, while genotype K1 (1 .09 kg) had the lowest yield below the general average. Genotype K39 had a significantly higher yield per plant above the average value at the Kusadak site. Based on the results of AMMI analysis, it can be concluded that there are significant differences between locations, genotypes as well as interactions (Table 3). Of the total sum of squares, 86 .10% refers to the effect of genotype, while the sum of squares of genotype × location is three times higher than the sum of squares of location (10 .25% compared to 3 .07%). The most stable location based on the AMMI stability coefficient (0 .92) was Smede-revska Palanka, while the least stable was Kusadak (2 .34). Genotypes K13, K39, K36, with a yield above the general average, had a low value of PC1, which indicates that they were less influenced by locations, ie. that they had good yield stability in all locations . Genotype K34 stood out as the most productive genotype. Genotypes K3, K7, K16, K19 and K38 were below the average yield value but proved to be stable . The strongest interaction (ASV) was observed in genotypes K1 (below average yield) and K21, K25 (above average yield), where the last two are closely adapted to the location Kusadak.
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基因型和环境对茄子产量的影响
茄子育种的目标之一是提高产量,并适应不同的环境。我们的研究包括20种不同的茄子基因型。实验在三个不同地点(斯梅代列夫斯卡-帕兰卡、沃拉诺沃和库萨达克)采用随机完全区组设计,分三个重复进行。研究了基因型和地理位置对单株产量的影响。双因素方差分析显示,基因型、地理位置以及基因型与地理位置互作对单株产量有显著影响。在对3个不同地点的20个基因型进行分析后,记录的平均单株产量为2.47 kg。基因型K13 (3.02 kg)、K20 (2.99 kg)、K21 (3.44 kg)、K34 (4.35 kg)、K39 (4.28 kg)单株产量显著高于一般平均水平。Vranovo的产量最高,基因型为K34 (4.71 kg)。基因型K39的平均产量最高,而基因型K1 (1.09 kg)的产量最低,低于一般平均产量。K39基因型单株产量显著高于Kusadak基地的平均值。从AMMI分析结果可以看出,位点、基因型和相互作用之间存在显著差异(表3)。在总平方和中,基因型效应的平方和为86.10%,而基因型×位置的平方和是位置平方和的3倍(10.25%比3.07%)。AMMI稳定系数最稳定(0.92)的位置是Smede-revska Palanka,最不稳定的位置是Kusadak(2.34)。产量高于一般平均水平的基因型K13、K39、K36的PC1值较低,说明其受地理位置的影响较小。它们在所有地点都有很好的产量稳定性。K34基因型是产量最高的基因型。基因型K3、K7、K16、K19和K38产量低于平均水平,但表现稳定。在K1(低于平均产量)和K21、K25(高于平均产量)基因型中观察到最强的互作(ASV),其中后两个基因型与Kusadak位置密切适应。
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审稿时长
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