Bromatological chemical composition of Palma Miúda Adensada using two types of organic fertilizer

• Autor(a) principal: Vieira Lemos, Bruna
• Data de Publicação: 2023
• Outros Autores: Carneiro, Maria do Carmo, Silva de Albuquerque, Ariane Loudemila, de Sales Silva, José Crisólogo
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: Diversitas Journal
• Texto Completo: https://diversitasjournal.com.br/diversitas_journal/article/view/2660
• topic: Cactácea; esterco; nutrição; produtividade; semiárido; Forragicultura; Cactaceous; manure; Animal nutrition; productivity; semi-arid

Forage cactaceae is adapted to regions of semi-arid climate, constituting an important source of food for herds in the dry season, especially in the Northeast of Brazil.  The present work aims to determine the bromatological chemical composition of the offal palm (Opuntia cochenillifera) irrigated due to two types of organic fertilization in the county of Santana do Ipanema - AL. The project was carried out in the Serrote dos Braz community, which is located in the county of Santana do Ipanema, mesoregion of the “Sertão Alagoano” (Alagoas backwoods). The experimental design will be in randomized blocks, with arrangement of subdivided plots. The cladodes will be planted in domino format, testing levels of organic fertilization (cattle, goat, sheep and poultry manure) and chemical fertilization. To determine the bromatological composition, the plant material will be analyzed individually for the contents of dry matter, mineral matter, ether extract, crude protein, organic matter, lignin, neutral detergent fiber and acid detergent fiber. The cutting of the plants will be carried out in the first insertion, leaving only the mother plant. Then it will be made the weighing, in precision scale, of all the cladodes harvested, separating them by plot. The data obtained will be submitted to analysis of variance followed by Tukey's test. Being used the “PROC GLM - General Linear Models”, of the Statistical Analysis System - SAS software, considering as significant values of probability lower than 5% (P < 0.05).