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Crambe (Crambe abyssinica H.) development and productivity under different sowing densities

机译:不同播种密度下Crambe(Crambe abyssinica H.)的发育和生产力

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The search for renewable sources of energy gains new options of raw materials every day, such as crops from agriculture. Oil crops, such as soybeans, canola, jatropha and crambe stand out in the west of Paraná state, Brazil. The crambe (Crambe abyssinica H.) is a promising plant in the production of oil in Brazil and is an alternative to the crop rotation system. Several studies have been conducted on crambe as there is currently little information regarding this crop in the west of Paraná. Also, studies on plant density are also required, as this factor is important to avoid competition for soil nutrients and reduced grain yield. This study aimed to assess crambe growth and production under different sowing densities. The experiment was conducted on an experimental farm in the city of Cascavel – PR. The spatial arrangement proposed in this study varied according with sowing densities of 8, 12, 17.5 and 24 kg ha-1 crambe seeds with spacing of 0.45 m between rows and 5 replications in an experimental design with randomized blocks. Data obtained were subjected to analysis of variance (ANOVA) and to regression test in ASSISTAT software. Results showed that plant height, fresh mass, dry mass, plants per linear meter and grain yield were influenced by variations in plant sowing density. Plant height (110.08 cm) and yield (2118.57 kg ha-1) showed the best results with sowing density of 8 kg ha-1. Fresh mass (67.95 t ha-1), dry mass (22.52 t ha-1) and plants per linear meter (55.60 units) reached the best results with a sowing density of 24 kg ha-1.
机译:寻求可再生能源每天都在获得新的原材料选择,例如农业作物。大豆,油菜籽,麻风树和蛤ram等油料作物在巴西巴拉那州的西部脱颖而出。 Crambe(Crambe abyssinica H.)是巴西石油生产中很有前途的植物,是作物轮作系统的替代品。由于目前对巴拉那州西部这种作物的了解很少,因此对蛤ram进行了数项研究。另外,还需要对植物密度进行研究,因为该因素对于避免竞争土壤养分和降低谷物产量很重要。这项研究旨在评估不同播种密度下蛤ram的生长和产量。该实验是在PR Cascavel市的一个实验农场进行的。在这项研究中提出的空间排列根据8、12、17.5和24 kg ha-1蛤仔的播种密度而变化,在随机设计的实验设计中,行间间距为0.45 m,重复5次。对获得的数据进行方差分析(ANOVA),并在ASSISTAT软件中进行回归测试。结果表明,株高,鲜重,干重,每线性米植株和籽粒产量受播种密度变化的影响。播种密度为8 kg ha-1时,株高(110.08 cm)和产量(2118.57 kg ha-1)表现最佳。播种密度为24 kg ha-1,新鲜质量(67.95 t ha-1),干燥质量(22.52 t ha-1)和每线性米(55.60单位)的植物达到了最佳效果。

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