3 resultados para Agricultural productivity - Australia

em Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa)


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O presente trabalho teve como objetivo determinar a produtividade agrícola e a qualidade tecnológica do caldo das variedades da cana-de-açúcar, submetidas a diferentes regimes hídricos. O delineamento experimental foi em blocos ao acaso com três repetições em parcelas subdivididas, com três variedades RB855156, RB835486 e RB867515 (parcela), e sete regimes hídricos correspondendo a 0, 7, 17, 36, 46, 75 e 100% da ETc (subparcela). Foram avaliadas as características de produção: comprimento do entrenó (CE), peso do colmo (PC), número de perfilhos por hectare e produtividade; e tecnológicos do caldo: ºBrix do caldo, Pol do caldo (Teor de sacarose), pureza (PZA), AR (teor de açúcares redutores do caldo), ARC (açúcares redutores da cana), fibras, Pol da cana (PCC), açúcares totais recuperáveis (ATR) e o valor da megagrama da cana (VMgC). O máximo de produtividade da cana-de-açúcar foi de 182,31 Mg ha-1 registrado com irrigação equivalente a 69,01% da ETc; A cana-de-açúcar cultivada com irrigação equivalente a 75% da ETc não proporcionou diferença significativa para a qualidade industrial das variedades testadas em relação ao cultivo em sequeiro (0% da ETc). Não houve diferença significativa para os valores do teor de açúcares redutores (AR), açúcares redutores da cana (ARC) e a pureza do caldo (PZA) entre as variedades. ABSTRACT: This work aimed to determine the agricultural productivity and the technological quality of the juice of the sugarcane varieties, which were submitted to different hydrological regimes. The experimental design was made in randomized blocks with three repetitions in subdivided plots, with three varieties: RB855156, RB835486 and RB867515 (plot), and seven hydrological regimes corresponding to 0, 7, 17, 36, 46, 75 and 100% of ETc (subplot). The following production characteristics were evaluated: length of internode (LI), stem weight (SW), number of tillers per hectare and productivity; and technological components of the juice: ºBrix of the juice, Pol of the juice (sucrose levels), purity (PTY), RS (amount of reducing sugars of the juice), RSC (reducing sugars of the sugarcane plant), fibers, Pol of the sugarcane plant (CPP), total retrievable sugars (TRS) and the value of the sugarcane megagram (Mg). The maximum productivity of sugarcane was 182.31 Mg ha-1, which was registered with irrigation equivalent to 69.01% of ETc. The sugarcane cultivated with irrigation equivalent to 75% of ETc did not provide significant difference for the industrial quality of varieties tested in relation to the non-irrigated cultivation (0% of ETc). There was no significant difference for the values of reducing sugars (RS), the reducing sugars of the sugarcane plant (RSC) and the juice purity (PTY) among varieties.

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Research networks provide a framework for review, synthesis and systematic testing of theories by multiple scientists across international borders critical for addressing global-scale issues. In 2012, a GHG research network referred to as MAGGnet (Managing Agricultural Greenhouse Gases Network) was established within the Croplands Research Group of the Global Research Alliance on Agricultural Greenhouse Gases (GRA). With involvement from 46 alliance member countries, MAGGnet seeks to provide a platform for the inventory and analysis of agricultural GHG mitigation research throughout the world. To date, metadata from 315 experimental studies in 20 countries have been compiled using a standardized spreadsheet. Most studies were completed (74%) and conducted within a 1-3-year duration (68%). Soil carbon and nitrous oxide emissions were measured in over 80% of the studies. Among plant variables, grain yield was assessed across studies most frequently (56%), followed by stover (35%) and root (9%) biomass. MAGGnet has contributed to modeling efforts and has spurred other research groups in the GRA to collect experimental site metadata using an adapted spreadsheet. With continued growth and investment, MAGGnet will leverage limited-resource investments by any one country to produce an inclusive, globally shared meta-database focused on the science of GHG mitigation.