Avaliação de novas progênies F6 de sorgo sacarino promissoras para a produção de etanol na Zona da Mata de Pernambuco

Abstract

Currently sweet sorghum (Sorghum bicolor (L.) Moench) has become very important for the energy sector and sugarcane in Brazil, which is constantly seeking alternatives to increase agricultural and industrial yields, especially in the off season of cane sugar, decreasing the idle time and production costs. It is a rustic agricultural species, with good adaptation to environmental stresses, such as those found in the Northeast, with features similar to stalks of sugarcane juice rich in fermentable sugars, and can be used to produce ethanol in the same facility used by the cane sugar. The culture is totally mechanized (by planting seeds, and harvesting), high productivity of green biomass (60-80 t ha-1), with high yields of ethanol (3000-6000 l.ha-1), bagasse usable as a source of energy (steam and electricity cogeneration industrialization). The present study was designed to indicate the most suitable for a probable launch as a variety to be grown in the Zona da Mata, Region of the State of Pernambuco, Northeast, Brazil genotypes. For this purpose, an experiment was carried out from February to June 2014 in the experimental field at the Pernambuco Agricultural Institute Enterprise - IPA, in Vitória de Santo Antão, Pernambuco. The study consisted of 65 progenies that are the result of segregation F6 a cross between two varieties (IPA467-4-2 X IPA 2502), where the first strain was used as male parent and the second as the female parent, were obtained in Vitória Santo Antão - PE in 2010, tested in Caruaru - PE in 2011 and retested in Vitória de Santo Antão - PE in 2013, more than 15 witnesses were commercial varieties in the region, including these two parental strains. The experiment was designed in randomized blocks, consisting of 80 plots and 3 replications, where each portion had dimensions of 6.0 x 0.8 m, with a total area of 4.80 m2 and is considered an area of 3.20 m² (0 , 8 x 4m), eliminating the first meter of each boundary. Variables according to the production characteristics presented in the field were analyzed: average height of plant (AMP); Days to flowering (FL); Total production of green matter (PMV); Production Shed (PCL) and Percentage of thatch to produce total green matter (% CL). Besides the agroindustrial features: Production of total dry matter (PMS); Percentage of total dry matter (% MST); Production Shed (PCL); Harvesting Brix (Brix); Extraction efficiency of broth (EEC) and theoretical Ethanol (ET). Means were compared by Scott - Knott test at 5% level of probability, genetic correlations being conducted to complement the study of these variables.