10 research outputs found

    Growth and Development of Purple Nutsedge Based on Days or Thermal Units

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    This work was carried out with the objective of elaborating mathematical models to predict growth and development of purple nutsedge (Cyperus rotundus) based on days or accumulated thermal units (growing degree days). Thus, two independent trials were developed, the first with a decreasing photoperiod (March to July) and the second with an increasing photoperiod (August to November). In each trial, ten assessments of plant growth and development were performed, quantifying total dry matter and the species phenology. After that, phenology was fit to first degree equations, considering individual trials or their grouping. In the same way, the total dry matter was fit to logistic-type models. In all regressions four temporal scales possibilities were assessed for the x axis: accumulated days or growing degree days (GDD) with base temperatures (Tb) of 10, 12 and 15 oC. For both photoperiod conditions, growth and development of purple nutsedge were adequately fit to prediction mathematical models based on accumulated thermal units, highlighting Tb = 12 oC. Considering GDD calculated with Tb = 12 oC, purple nutsedge phenology may be predicted by y = 0.113x, while species growth may be predicted by y = 37.678/(1+(x/509.353)-7.047)

    Growth and development of honey weed based on days or thermal units

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    This work was carried out with the objective of evaluating the growth and development of honey weed (Leonurus sibiricus) based on days or thermal units (growing degree days). Thus, two independent trials were developed to quantify the phenological development and total dry mass accumulation in increasing or decreasing photoperiod conditions. Considering only one growing season, honey weed phenological development was perfectly fit to day scale or growing degree days, but with no equivalence between seasons, with the plants developing faster at increasing photoperiods, and flowering 100 days after seeding. Even day-time scale or thermal units were not able to estimate general honey weed phenology during the different seasons of the year. In any growing condition, honey weed plants were able to accumulate a total dry mass of over 50 g per plant. Dry mass accumulation was adequately fit to the growing degree days, with highlights to a base temperature of 10 ºC. Therefore, a higher environmental influence on species phenology and a lower environmental influence on growth (dry mass) were observed, showing thereby that other variables, such as the photoperiod, may potentially complement the mathematical models

    Growth and development of sourgrass based on days or thermal units

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    This work was carried out with the objective of evaluating growth and development of sourgrass (Digitaris insularis) based on days or thermal units (growing degree days - GDD). Two independent trials were developed aiming to quantify the species' phenological development and total dry matter accumulation in increasing or decreasing photoperiod conditions. Plants were grown in 4 L plastic pots, filled with commercial substrate, adequately fertilized. In each trial, nine growth evaluations were carried out, with three replicates. Phenological development of sourgrass was correctly fit to time scale in days or GDD, through linear equation of first degree. Sourgrass has slow initial growth, followed by exponential dry matter accumulation, in increasing photoperiod condition. Maximum total dry matter was 75 and 6 g per plant for increasing and decreasing photoperiod conditions, respectively. Thus, phenological development of sourgrass may be predicted by mathematical models based on days or GDD; however, it should be noted that other environmental variables interfere on the species' growth (mass accumulation), especially photoperiod

    Determinantes da demanda brasileira por importação de arroz do Mercosul

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    Desde meados da década de 1990, o arroz é um dos principais produtos agrícolas importados pelo Brasil, principalmente do Uruguai e da Argentina, o que frequentemente gera questionamentos dos orizicultores brasileiros. O objetivo deste artigo é analisar os determinantes das importações brasileiras deste cereal, e para tanto, apresenta-se um modelo econômico visando analisar esta relação comercial no Mercosul, assumindo que as importações brasileiras de arroz são resultantes de um excesso de demanda doméstica pelo cereal. Utiliza-se um Modelo Autorregressivo Vetorial - VAR estrutural. Os resultados mostram uma forte relação do volume importado com o preço doméstico do arroz e com a taxa de câmbio. Verifica-se uma significativa participação do preço de importação na explicação do preço doméstico. A quantidade importada de arroz responde positivamente a um choque positivo no preço doméstico e negativamente a choques positivos no preço de importação e na taxa de câmbio. Verifica-se uma relação de bicausalidade entre o preço doméstico e o preço de importação de arroz. Uma das principais conclusões é que a demanda por importação reage imediatamente a choques no preço doméstico e taxa de câmbio, e posteriormente, a choques no preço de importação, sugerindo dificuldades em substituir imediatamente o volume importado no mercado doméstico.<br>Since the middle of the 90's, rice has been one of the main agricultural products imported by Brazil, particularly from Uruguay and Argentina, which very often raises concerns to Brazilian rice producers. This paper aims to analyze the factors that determine the Brazilian rice imports, and therefore proposes an economic model to examine these trade flows in Mercosur, assuming that the Brazilian rice imports results from a domestic demand surplus. An econometric model Vector Auto-regressive (structural VAR) is applied. Results show a strong relationship among rice imports and domestic rice prices, as well as the exchange rate. A significant effect of import prices over domestic prices has been verified. The quantity of rice imports relates positively to an increase of domestic prices and negatively to an increase of import prices, as well as increases in the exchange rate. A bicausality relationship is verified between domestic and import prices for rice. One of the major conclusions is that Brazilian rice imports answer immediately to changes in domestic prices and exchange rate and react one quarter later to changes in import prices suggesting a delay over rice importers to substitute imports by the domestic rice
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