Authors:Bruno Fonsêca Feitosa, Charlene Maria de Alcântara, Juvêncio Olegário de Oliveira Neto, Álvaro Gustavo Ferreira da Silva, Emanuel Neto Alves de Oliveira, Walker Gomes de Albuquerque Pages: 227 - 234 Abstract: The increase in the consumption of ready-to-eat foods has also increased the generation of agro-industrial waste. The organic matter present in these residues causes damage to the environment when they are improperly disposed of. Composting is a technology that uses these residues to obtain a sustainable material that can be used as a biofertilizer, without harming the environment. The objective was to collect and analyze data related to composting as a technology capable of transforming agro-industrial waste into organic fertilizer. For this, keywords were defined and a survey of information in the SciELO database was carried out. The keyword [composting AND (“agro-industrial waste” OR “agro-industrial waste”)], in English, obtained the best representation and refinement. Annual evolution data were observed between 2007 and 2020, with the number of publications fluctuating over the period. Considering the 13 selected scientific articles, a total of 4 countries were highlighted as the headquarters of the research executing institutions, namely: Brazil, Chile, Mexico and Portugal. The thematic area “Agrarian Sciences” and the journal “Engenharia Agrícola” have the largest number of publications in their respective groups. There was no relationship between the number of publications of scientific articles and the impact factor presented by the journal. The relevance of the control of humidity, aeration, temperature, pH, carbon and nitrogen ratio (C:N) and granulometry was verified. Therefore, composting is a potential technology to transform agro-industrial waste into organic fertilizer. PubDate: 2022-12-30 DOI: 10.18378/rvads.v17i4.9465 Issue No:Vol. 17, No. 4 (2022)
Authors:José Hugo Simplicio de Sousa, Amanda Rezende Moreira, Abdalan Andrade do Nascimento, George do Nascimento Ribeiro, Jose Nunes de Oliveira Neto, Leonardo Souza do Prado Júnior Pages: 235 - 241 Abstract: Human activities modify the natural characteristics of numerous watersheds worldwide. Google Earth Engine provides tools for the analysis of land use and natural resources. In this work, we classify current land use and cover in the Sucuru watershed, Paraíba, Brazil. We compared the accuracy of five supervised classification algorithms of Google Earth Engine. Classifiers based on Decision Trees, such as the Classification and Regression Trees (CART) and Random Forest (RF), showed the best accuracy and visual inspection values. The Google Earth Engine is a powerful tool for analysis of large-scale environmental data, monitoring land use changes, and providing information for sustainable management. PubDate: 2022-12-30 DOI: 10.18378/rvads.v17i4.9621 Issue No:Vol. 17, No. 4 (2022)
Authors:Rewysson Alves Ribeiro da Silva, Luciana Gonçalves de Oliveira, Maria Luiza de Souza Lima, Mayara Goés Kettner, Ana Paula Medeiros dos Santos Rodrigues Mendonça, Antonio Félix da Costa Pages: 242 - 246 Abstract: The Cowpea (Vigna unguiculata (L.) Walp.) is known as macassar bean and colony bean. In addition to its economic importance, it has high nutritional contents, being a substitute for animal protein. Fungi of the genus Trichoderma are known to be biological controllers and for their versatility. This work aimed to evaluate the effect of Trichoderma spp. on the growth of cowpea plants. Fifteen Trichoderma isolates and one cowpea genotype were used. The bioassay was completely randomized, repeating once. The isolates were multiplied in parboiled rice. From each isolate, a suspension of conidia adjusted to 106 conidia mL-1 was prepared, each plant receiving 25 mL of the suspension, evaluating 30 days after inoculation, plant height, weight of green mass and dry mass. Ten isolates provided gains in height of the treated plants, differing on average from the control in the two bioassays performed. Plants treated with T 12.11 and T 5.16 had increases in green and dry mass weight in all bioassays and in all analyzed variables. The use of Trichoderma species to promote growth in cowpea represents a viable alternative for farmers. The most promising isolates T 2.24 and T 2.54 from the species T. asperelloides, and T 5.16 and T 12.11 from Trichoderma spp. can be used to increase dry matter in cowpea, requiring studies in order to visualize greater commercial production and to develop more practical forms of inoculation. PubDate: 2022-12-30 DOI: 10.18378/rvads.v17i4.9578 Issue No:Vol. 17, No. 4 (2022)
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