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In the Balkans, the production of globally cultivated green leaf lettuce (Lactuca sativa L.) can be slow due to reduced quality and intensity of solar insolation. Our research aimed to investigate the effects of artificial illumination and the duration of light exposure on the growth and quality of two lettuce genotypes seedlings: Genesis and Jukebox. The research was conducted at the Institute for Vegetable Crops Smederevska Palanka, Serbia. Lettuce seeds were sown in 9 styrofoam containers per genotype, filled with commercial substrate. In the phase of three leaves, plants were placed in plant growth chambers under multispectral white (W) LEDs and monochromatic blue (B) LEDs (three containers per LED and genotype), while three containers were kept in the greenhouse and served as control. The plants were cultured in plant growth chambers for 25 days under a 9h/15h and 10h/14h (light/dark) photoperiod, to simulate outdoor conditions. Morphological growth parameters (number of leaves and plant weight) were measured on the 11th and 25th days. Chlorophyll content was measured on the 4th, 11th, 18th and 25th days. Plants grown under W and B LEDs had a significantly higher number of leaves, plant weight, and chlorophyll content than plants grown in a greenhouse. Using energy-efficient white and blue LED lights in lettuce seedling production during 18-25 days positively impacts seedling quality, and with this seedling production, the plants can achieve high yields and quality.

Salinity is one of the major abiotic stress factors that limit the productivity of crops, including wheat, in many regions of the world. Therefore, the priority in wheat breeding, to ensure global food security, is developing varieties that are adapted to saline environments. In situ, evaluation of wheat genotypes can provide valuable information on the performance of different genotypes under natural saline conditions and can help to identify the most salt-tolerant genotypes. To ensure an accurate evaluation of the performance of twenty-seven wheat genotypes under different environments, the trial was conducted on two different soil types (solonetz and chernozem) in two growing seasons. AMMI analysis shows that the environmental factor had the largest share (55.15%) in the variation of grain yield, where soil type had a dominant effect. Genotypes Renesansa, Harmonija, and Bankut 1205 achieved a high grain yield on both soil types. However, among the mentioned genotypes, the genotype Harmonija showed the highest tolerance to salinity. A significant proportion of the genotype and environment interaction (GEI; 25.89%) shows that there is a change in the ranking of genotypes across environments. According to the AMMI1 biplot, the genotypes Renesansa and Harmonija were distinguished by high grain yield and high stability. The environment Chernozem 2015/2016 had the greatest contribution to the GEI and the highest grain yield, while Solonetz 2017/2018 was characterized by the highest stability and the lowest grain yield. According to the AMMI2 biplot, genotype Harmonija achieved high stability in unfavourable environmental conditions that characterized the environment Solonetz 2017/2018.

Bread wheat is one of the most represented field crops whose level and stability of yield is very important for the food security in Republic Serbia. In the paper was investigated stability of yield expression of 15 winter bread wheat genotypes in different agroecological conditions of Serbia, using the Additive main effects and multiplicative interaction (AMMI) model and GGE-biplot method of analysis. Aim of investigation was to determine which of applied analysis is superior in identification of the most desirable genotypes for cultivation in given environments. Analysis of variance showed that genotype and genotype-environment (G×E) interaction represent highly significant sources of variability in expression of grain yield. AMMI and GGE analyses were point out similar results and an indisputable conclusion is that multienvironment trials, besides routine usage of analysis of variance, must be analized with one of this two models, which combine analysis of variance and PCA analysis. AMMI analysis is simpler for interpretation and closer to the concept of view of the agronomical trial, while GGE analysis is more complex and gives more precise interpretation of "which-won-where", i .e. for defining of narrowly adapted genotypes in given environments. Thus, G11 as the genotype with highest average yield is narrow adapted to the environment Sombor and can be recommended, as well as in the environment 2 (Kruševac), while genotypes with modest requests (G2) rather can be recommended for cultivation in the environment 1 (Kragujevac), which is characterized by less fertile soil and a smaller amount and uneven distribution of precipitation.