Phytoremediation is a technique that uses plants, whether associated or not to ameliorating agents, for phytostabilization of contaminated soil. The aim of this study was to evaluate the use of Senna multijuga associated with peat in the phytostabilization of copper contaminated soil. The experiment was carried out in a greenhouse for 120 days, using an entirely randomized design in a factorial arrangement (2 x 6), with and without peat (200 mL L-1 soil) and six doses of copper (0, 60, 120, 180, 240, 300 mg kg-1), with six repetitions of each treatment. At 120 days after seedling, the plants were evaluated for height, stem diameter, root and aerial dry matter, contents and accumulated amount of copper in the root system and aerial part. Also, the Dickson quality indexes, as well as tolerance and translocation indexes were analyzed. The results showed that the use of 200 mL of peat L-1 of soil was inefficient as an ameliorating agent for copper-contaminated soil, but it acted as a soil conditioner, increasing the morphological parameters of S. multijuga. In its initial development period, the S. multijuga species presented low copper phytostabilization potential in contaminated soil.
The objective of this work was to apply the phenotypic multicarter selection and predictive genetic for the attributes of the yield of common black bean seeds in the segregating generations F2, F3 and F4.The experimental design was augmented blocks, where the BRS Esplendor (BE), BRS Supremo (BS) and IPR Tiziu (IT) genotypes were used as controls arranged in four replicates, the other treatments were organized in a unique way in the experiment, the F2 segregating generation being represented by 36 common black bean populations, F3 segregating generation composed of 72 families and the F4 segregating generation formed by 44 families. The multicarter phenotypic index provided the simultaneous selection for the number and mass of seeds per plant, independent of the segregating generation of common black bean.Multicarter genetic variation is superior for the F3 segregating generation, with pronounced environmental effects on the F4 generation.The F4 segregating families express superiority to the genetic gain and magnitude of superior genotypes in relation to the commercial controls, where high genetic increase is exposed between the F3 to F4selection.The use of the phenotypic index expresses applicability to the selection of common black bean genotypes to increase seed yield.
The aim of study is to estimate the variance components and genetic parameters (REML), as well as to predict the genetic value (BLUP) of F3 families of common black beans for the components of seed production. The experimental design was augmented blocks, where the 83 F3 families were arranged only in each block, and the commercial controls were organized in three replicates. The additive genetic effects were determinant for plant height and first pod insertion height. The pronounced effects of the environment are expressed for the number of pods, seeds and seed mass per plant. Potentiality in the selection of higher F3 families are revealed through the 2CBRS population for plant height and first pod insertion height, for the components of seed yield the selections should be directed to the populations 2CARS and 1FVRS. The number of seeds and seed mass per plant were potentiated in more than 28% of the selected F3 families, and pronounceable genetic gains are obtained by the selection of families 66, 65 and 67. The inferences obtained in this study present theoretical and practical foundation, and can be applied in future studies of breeding and production of common black bean seeds.
We evaluated correlations between yield, meteorological and bromatological characters in five genotypes of dual-purpose wheat submitted to different cutting management systems. The experiments were carried out in 2014 and 2015. The experimental design was a randomized block, organized in a factorial scheme, with five genotypes of dual purpose wheat (BRS Tarumã, BRS Umbu, BRS Figueira, BRS Guatambu and BRS 277), three cutting managements (one, two and three cuts), with three replicates. The data of each cut management were submitted to linear correlation analysis, canonical correlations and stepwise predictions . We conclude that yield and bromatological components of the forage are closely related to the meteorological attributes and cut management. Neutral and acid detergent fiber, hemicellulose, mineral matter and total carbohydrates are influenced by maximum and minimum air temperature, as well as by incident solar radiation. The canonical interrelationships and the predictive models developed for the morphological, bromatological and grain yield attributes are specifically dependent on cut management in dual purpose wheat. ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (2): gmr18302 F.L. da Silva et al. 2
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