Improvement of quality-related traits of grains is a constant concern in white oat breeding programs, which challenges breeders to understand their dynamics. The performance of different genetic combinations must be thoroughly evaluated to make high nutritional quality cultivars available. This study aimed to estimate the heterosis on F 1 and F 2 generations, vigor loss, due to inbreeding, and correlation between the grain chemical components to understand the dynamics of these traits, considering two segregating oat progenies. The populations Albasul × UPF 15 (population 1) and IAC 7 × UFRGS 19 (population 2) were developed. Both populations showed transgressive segregant individuals. The combination Albasul × UPF 15 provided significant heterosis for traits β-glucan total and soluble fiber contents, while the population obtained by crossing IAC 7 × UFRGS 19 generated significant gain by heterosis for total fiber, insoluble fibers and non-structural carbohydrate contents. Considering the F 2 average for each population, one can observe that population 1 presents higher β-glucan and lipid contents than population 2. On the other hand, population 2 has higher protein content than population 1. In both populations, the non-structural carbohydrate content is strongly and negatively correlated whith protein, total and insoluble fibers. Correlations between total fibers and lipids and between total fibers and insoluble fibers were both positive and high in both populations.
The aim of this work was to answer the following question: can influential points modify the recommendation of genotypes, based on regression methods, in the presence of genotype × environment (G × E)? Therefore, we compared the parameters of the adaptability and stability of three methodologies based on regression in the presence of influential points. Specifically, were evaluated methods based on simple, non-parametric and quantile (τ = 0.50) regressions. The dataset used in this work corresponds to 18 variety trials of cotton cultivars that were conducted in the 2013–2014 and 2014–2015 crop seasons. The evaluated variable was the cotton fiber yield (kg/ha). Once we noticed that the effect of G × E interaction is significant, the statistical procedures adopted for the adaptability and stability analysis of the genotypes. To verify the presence of a possible influential point, we used the leverage values, studentized residuals (SR), DFBETAS and Cook’s distance. As a result, the influential points can modify the recommendation of genotypes, based on regression methods, in the presence of G × E interaction. The non-parametric and quantile (τ = 0.50) regressions, which are based on median estimators, are less sensitive to the presence of influential points avoiding misleading recommendations of genotypes in terms of adaptability.
Information on the genetic diversity of commercial cultivars is of fundamental importance for crop improvement. In addition, information about possible interactions between the maintainers developing these cultivars can help design a breeding program. The objective of this work was to study the genetic diversity of soybean [Glycine max (L.) Merr.] cultivars released in Brazil from 1998 to 2017 and compare the similarity between maintainers of these cultivars based on the phenotypic information disclosed. Data was collected on 1,587 soybean cultivars registered in the National Register of Cultivars of the Ministry of Agriculture, Livestock, and Supply belonging to 59 different maintainers. Among these cultivars, 12 agromorphological traits were evaluated. To perform the grouping and select the main discriminating traits of the cultivars, the Random Forest method was used. Multiple correspondence analysis was performed to obtain the variance explanation percentage of the traits evaluated in each dimension and coordinates among the maintainers. The maintainers were organized through Kohonen self‐organizing map (SOM) through the respective coordinates. There is a wide variety of maintainers of soybean cultivars in Brazil with different objectives for launching new cultivars. Among the maintainers, Soymax presented the most restricted genetic base. The other private companies showed more remarkable similarities and a broader genetic base. The public institution EMBRAPA presented the greatest genetic diversity in its population base. Federal University of Uberlândia and Federal University of Viçosa can be partners to launch soybean cultivars given the proximity between neurons in Kohonen analysis. The high diversity of traits shows that the genetic base of soybean in Brazil is large.
Flaxseed is an oil plant, belonging to the Linaceae family, of an autogamous species. The objective of this work is to evaluate grain yield through edaphoclimatic variables, which are descriptive of field, soil and climate in relation to the production of the line in the state of Rio Grande do Sul. The trial was carried out at the Regional Institute of Rural Development (IRDeR), belonging to the Regional University of the Northwest of the state of Rio Grande do Sul (Unijuí); the experimental design used was that of randomized blocks, organized in a factorial scheme of 5 application moments x 5 doses of nitrogen in 3 replications, totaling 75 experimental units. The traits evaluated were grain yield in relation to the soil, climate and field attributes. Grain yield is directly and indirectly influenced by base saturation at pH 7.0 and soil compaction, and also by the maximum temperature and minimum temperature. The condition of the climate during the culture cycle influences the components of the grain yield of flaxseed. The maximum and minimum temperature were negatively related to flaxseed grain yield under the conditions of the study. The Track Analyses allowed us to visualize the contribution of both chemical and physical attributes to the final production. Higher values of base saturation enhance flaxseed grain yield. Variables number of capsules, number of capsules that formed grains, number of grains per plant, population, and mass of grains per plant were the variables that determined grain yield.
Aluminum is an element present in Brazilian soils, mainly in the Cerrado biome and its presence is responsible for the formation of reactive oxygen species, which results in damage to the plasma membrane. Hydrogen peroxide has been studied as an acclimatization inducer and it is possible to obtain a plant with greater tolerance to the adverse environment. This work aimed to subject Crotalaria ochroleuca seeds previously treated with hydrogen peroxide to the stress caused by aluminum. The physiological quality of the seeds was evaluated by means of germination and vigor test determined by first count, germination speed index, shoot and root length test, and shoot and root dry mass. Crotalaria ochroleuca seeds are sensitive to aluminum and high concentrations of hydrogen peroxide impaired seedling development.
Grain yield is a constant concern in soybean breeding programs for being highly influenced by the environment. This trait can be significantly affected by the sowing times. Thus, for the correct cultivar recommendation, methods of stability and adaptability analysis are used to verify the genotype x environment interaction at different sowing times. In this study, ten soybean cultivars were evaluated in 2016/2017 and 2017/2018 seasons, at different sowing times. Each experiment was carried out in a randomized block design with three replications. The methods of Eberhart & Russel and Lin & Binns were used for cultivars recommendation for general, favorable, and unfavorable environments. Cultivars CS2728, BONUS, and BRS1074 show high yield and predictability and therefore are the most suitable for the region of Chapadão do Sul.
The aim of this work was to highlight the effects of row spacing and seed densities on the agronomic performance of flaxseed. The trial was developed in the experimental area of the Regional Institute of Rural Development, which belongs to the Regional University of the Northwest of the Brazilian State of Rio Grande do Sul. The experimental design was randomized blocks, and the treatments were structured in factorial scheme three (spacings) x six (densities) with three replications per treatment, totaling 54 experimental units. We used three spacings between rows, 18 cm, 36 cm and 54 cm, and densities of 30, 60, 90, 120, 150 and 180 seeds per linear meter. The experimental units were three meters wide by 10 meters long, totaling 30 square meters. Morphological and productive variables of the flaxseed crop were evaluated, as well as meteorological variables. Increased spacing contributes to reduced grain yield regardless of the sowing density. The row spacing of 18 cm shows the best results for grain yield in relation to the seed densities used. High magnitude linear associations such as number of stem branches, productive branches, number and mass of capsules and grains per plant, and plant population define grain yield per unit of area.
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