RESUMO -Objetivou-se com este trabalho avaliar o crescimento inicial de plântulas de M. urundeuva estabelecidas em diferentes substratos. O trabalho foi realizado no Laboratório de Sementes e no Viveiro de Mudas da Universidade Estadual da Bahia (UNEB), Barreiras, BA. As sementes foram coletadas de árvores daquela universidade. Foi utilizado o delineamento inteiramente casualizado com seis tratamentos e quatro repetições, sendo os tratamentos T1: solo; T2: areia; T3: solo + areia + esterco; T4: casca de madeira; T5: bagaço de cana-de-açúcar + esterco; e T6: bagaço de cana-de-açúcar + esterco + cinzas. A semeadura foi realizada em bandejas plásticas, com diferentes substratos, utilizando-se 20 sementes, colocadas a uma profundidade de 1,0 cm. Foram avaliados o índice de velocidade de emergência (%), a altura da parte aérea e da radícula, o comprimento das plântulas e das folhas, o número de folhas e as massas verde e seca da parte aérea e da radícula. Plântulas estabelecidas utilizando casca de madeira como substratos obtiveram melhores resultados quanto ao número e comprimento das folhas, altura da parte aérea e massa verde e seca da parte aérea. Em contraste, os percentuais de índice de velocidade de emergência obtiveram os piores resultados em plântulas estabelecidas em substratos com casca de madeira. Os resultados de radículas não diferiram entre as plântulas estabelecidas com os diferentes substratos. Os substratos contendo composto de casca de madeira ou bagaço de cana + esterco forneceram as melhores condições para o crescimento inicial de plântulas de M. urundeuva.Palavras-chave: Aroeira; Germinação; Sementes florestais. INITIAL ESTABLISHMENT OF Myracrodruon urundeuva SEEDLINGS IN DIFFERENT SUBSTRATES
Corn sowing time in Sete Lagoas region, Minas Gerais State, based on the probability of occurrence of dry and rainy spellsThe objective of this study was to determine the probability of dry and rainy occurrence periods in Sete Lagoas, Minas Gerais State, Brazil, from a historical series of 66-year-long daily rainfall data to establish the best sowing date for corn crop. Dry days were considered as those that had precipitation below corn evapotranspiration, ET corn . This study was carried out for the stages of flowering and grain filling, starting from seven sowing times ST (10/01, 10/16, 10/31, 11/15, 12/01, 12/16 e 12/31). The probabilities of occurring dry and rainy spells were estimated by the Markov´s chain. The probability of occurring dry days was always higher than rainy days. The highest probability of dry days were found between ST 15/11 and DS 31/12. The highest probability of occurring rainy days was recorded at ST 01/10. Considering the studied average cycle (for the most critical stage of corn development), the combination of the lowest probability of dry spells with the highest probability of rainy days indicates that the best dates to initiate non-irrigated sowing should be ST 01/10 and 16/10.
O desenvolvimento agrícola de uma região está relacionado com vários fatores, sobretudo com as condições climáticas locais.É de suma importância o conhecimento das variáveis de precipitação, que possibilita a realização de prognósticos das melhores épocas de preparo de solo, semeadura e colheita.Dessa forma, este trabalho tem por objetivo realizar a caracterização da variabilidade da precipitação pluvial do Centro Sul Baiano, analisando a variabilidade de precipitação interanual e os meses mais significativos dentro do período de 1976 a 2016. Utilizou-se para tal, uma série de dados médios mensais de Precipitação Pluvial no período de 1976 a 2016, proveniente de 15 estações meteorológicas convencionais, localizadas no Centro Sul Baiano e municípios adjacentes, obtidos do Banco de Dados Meteorológicos para Ensino e Pesquisa-BDMEP, no site do INMET. O preenchimento de falhas dos dados foi realizado através do software estatístico R. Realizou-se, então, uma estatística descritiva apenas dos dados das estações meteorológicas compreendidas dentro da região. Para a caracterização espacial da precipitação pluvial da região realizou-se a espacialização, através da interpolação espacial utilizando o método do peso pelo inverso da distância (IDW) no programa QGIS. Verificou-se que dezembro foi o mês em que se apresentou as maiores médias para a maioria dos municípios, exceto para Lençóis e Vitória da Conquista, cujas médias foram maiores no mês de novembro A região apresentou aumento na intensidade das chuvas no período chuvoso de leste para oeste, e o nos meses considerados secos houve uma maior precipitação na parte leste que no oeste. Palavras-chave: Variação climática, Interpolação, Espacialização, QGIS. Characterization of the space and temporary variability of the pluviometric precipitation of South Bahia Center A B S T R A C T The agricultural development of a region is related to several factors, especially with local climatic conditions. It is extremely important to know the precipitation variables, thus making possible the prognosis and of the best times of tillage, sowing and harvesting. The objective of this work is to characterize rainfall variability in the Southern Center of Bahia, analyzing the interannual precipitation variability and the most significant months within the period from 1976 to 2016. A series of data were used Average monthly rainfall from 1976 to 2016, from 15 conventional meteorological stations, located in the South Center of Bahia and adjacent municipalities, obtained from the Meteorological Database for Teaching and Research-BDMEP, on the INMET website. Filling of the data was performed using the statistical software R. A descriptive statistic was then made only of the data of the meteorological stations included within the region. Spatial characterization of the temperature of the region was performed by spatial interpolation using the inverse distance weight (IDW) method in the QGIS program. It was verified that December was the month that presented the highest averages for most of th...
The aim of this study was to evaluate nutritional value, fermentation losses, and aerobic stability of elephant grass silage (Pennisetum purpureum Schum.) treated with exogenous fibrolytic enzymes. The experiment was conducted in a completely randomized design with four replicates (experimental silos) and five levels of fibrolytic enzymes (0, 1.5, 3.0, 4.5 and 6.0%). For this, the elephant grass was ensiled at 70 days of age in plastic buckets with 20L capacity. Silos were opened 60 days after sealing. Analyses were made for chemical composition, in vitro dry matter digestibility (IVDMD), effluent losses (EL), gas losses (GL) and dry matter recovery (DMR), as well as the aerobic stability of the silage. Data were analyzed with PROC REG of SAS® University, at 5% probability. There was an increase in IVDMD content (p < 0.0001) and reduction in NDF and ADF contents (p < 0.0001) according to enzyme levels. These results were related to the increase in the degradation of fiber fractions. There were higher EL (p = 0.0062) as a function of enzyme levels and aerobic deterioration after silo opening, at all levels tested. Thus, it can be concluded that the exogenous fibrolytic enzymes change the chemical composition of elephant grass silage, and increase its digestibility and nutritional value. Moreover, when used alone as an additive, fibrolytic enzymes are not able to recover all dry matter of this silage (with effluent and gas losses), and are not able to maintain aerobic stability in the first hours after opening the silos.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.