The influence of the biostimulator on the yield components and yield of faba bean (Vicia faba var. minor)

Abstract

Faba bean is the third most important legume species after peas and beans in the world. The study on the influence of the biostimulator Slavol-S on the morphological and production characteristics of faba beans (Vicia faba var. minor) were carried out in the growing seasons of two successive years, in the agro-ecological conditions of Banja Luka. During the field research, the following parameters were analyzed: plant height (cm), number of pods per plant, pod length (cm), number of grains per pod, weight of grains per pod (g), harvest index (%) and grain yield (kg ha-1). Two-year average height of the plants in the control treatment was 81.3 cm and under the treatment with biostimulator Slavol-S it was 105.1 cm. The effect of the treatment with the biostimulator on the height was highly significant in both years. Two-year average number of pods per plant in the control treatment was 9.25, while in the treatment with the biostimulator it was 12.38. The effect of biostimulator on the number of pods per plant was highly significant. In the control variant, two year average number of seed per plant was 1.97, while biostimulator treatment provided 2.41 seeds per plant. Two year average harvest index under the treatment with biostimulator was 9.33% higher than in the control variant. The impact of biostimulants was highly statistically significant and is recommended for improving beans production.

Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions

“…This model has a graphical interpretation that can estimate yield performance and stability simultaneously, as well as discover optimal testing environments [40]. The model uses graphs, called biplots, as a graphic presentation for both the main and interaction effects for genotypes and environments concurrently, presenting in more detail an analysis of the GEI [20,27,41]. In the AMMI analysis, the interaction principal component (IPCA1) score of a genotype was used as an indicator of the stability of a genotype over environments.…”

“…In the AMMI model, an analysis of variance serves to divide the variation into genotype main effects (G), environment main effects (E) and GEI; afterwards, it applies principal component analysis (PCA) to analyze the residual GEI effect [20,25]. During the last two decades, the application of the AMMI model to yield trials has been frequently used, and there have been several recent reports [26][27][28]. An understanding of the GEI factor could contribute to the identification of optimal growing conditions for hybrid assessments and recommendations for more adapted hybrids [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44].…”

Environment and Digestate Affect on the Oats Quality and Yield Parameters

“…The meteorological conditions, monthly precipitation and air temperatures for 2021 and 2022 during the trial were taken from the Hydro-meteorological service of Republic of Serbia, Pancevo (Table 1). Precipitation have a decisive influence on the yield components (Howarth et al, 2021;Lakić et al, 2021;2022a;2022b;Ljubičić et al, 2021;2023;Nikolić et al, 2022;Dražić et al, 2022;Rakaščan et al, 2021;Dimitrijević et al, 2022;Filipović et al, 2022;Milunović et al, 2022;Popović et al, 2011;2020a-b;Kosev et al, 2022). Average temperatures in the growing season were 19.25°C in 2021. and 19.03°C in 2022., while total precipitation in 2022 was 351.4 mm and it was higher by 23 mm then in 2021, figure 1.…”

Responses of Persian walnut on foliar applications of different biostimulants

“…They increased the yield of different crops such as on faba bean ( Lammas et al., 2022 . ), barley ( Lakić et al., 2022 ), spring wheat ( Lozowicka et al., 2022 ), wheat ( Iwaniuk et al., 2022 ), sweet pepper ( Ombódi and Toók, 2022 ), and potato ( Mystkowska et al., 2022 ). Yield of peanuts was increased 25% to 296% after usage of the biostimulant treatments ( Khudaykulov et al., 2021 ) compared to the control.…”

“…Length of spike on spring barley plants increased significantly, and weight of grains of spring barley increased also up to 30% to 31% ( Lammas et al., 2022 ) with 7% up to 14% on corn ( Ajaj et al., 2020 ). Number of seeds per pods of faba bean become more with 22% ( Lakić et al., 2022 ), oil content of peanut increased 2% to 7% after the application ( Khudaykulov et al., 2021 ) compared to the control. Protein content of spring barley was increased by 11.9% to 12.8% by usage of Restart Zh ( Lammas et al., 2022 .).…”