Como elevar a qualidade da silagem de milho

• Main Author: Franchini, Giovanna Anita
• Publication Date: 2024
• Format: Bachelor thesis
• Language: por
• Source: Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
• Download full: http://repositorio.utfpr.edu.br/jspui/handle/1/36987
• topic: Amido; Silagem; Milho; Starch; Silage; Corn; CNPQ::CIENCIAS AGRARIAS::AGRONOMIA

Silage is an essential technique for the conservation of moist green forages, based on the acidification promoted by anaerobic fermentation. The quality of silage is influenced by several factors, such as the chosen hybrid, fertilization, cutting stage, physical conditions like compaction and sealing of the silo, among others. This study aimed to evaluate the relationship between the main determining aspects of the silage quality index (IQS) produced in the Southwest of Paraná. A total of 166 silage samples were collected from 16 municipalities in the state of Paraná. The samples were analyzed in the laboratory for dry matter content (DM), crude protein (CP), neutral detergent fiber (NDF), NDF digestibility (DFDN), starch, starch digestibility (Damido), total digestible nutrients (TDN), grain processing score (KPS), particle size on the upper sieve (Pen-S), and average particle size (Pen-M). Based on these analyses, the silage quality index (IQS) was determined. The data were subjected to variance analysis, correlation, and multiple regression. The results showed considerable variation in the variables used to determine the IQS. The IQS was positively correlated (P<0.05) with the content of dry matter (r = 0.25), starch (r = 0.59), TDN (r = 0.66), and KPS (r = 0.17). On the other hand, the IQS was negatively correlated (P<0.05) with crude protein content (r = -0.46), NDF (r = -0.57), and Pen-S (r = -0.25). The multiple regression analysis indicated that the variable with the greatest impact on the silage quality index was the TDN content, which accounted for 42.3% of the variation in this index. The KPS and crude protein content each accounted for less than 10% of the variation in the IQS. DFDN, the final variable in the multiple regression model, accounted for less than 2% of the IQS variation. The results of this study show that the energy content of the silage is the main characteristic to be manipulated in order to improve the quality of corn silage in the Southwest of Paraná.