施用羊粪有机肥和改变种植间距对四季豆生长和产量的影响

Zamriyetti Zamriyetti, Sri Mahareni Br Sitepu, R. Girsang, Khairul Romadan Surbakti
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引用次数: 0

摘要

绿豆是一种被公众广泛食用的食品成分,被归类为使用频率高的食品成分。本研究旨在确定有机羊粪对四季豆生长和产量的影响,并研究种植间距的影响以及两者之间的相互作用。本研究采用因子随机区组设计(RBD),有两个方案和三个重复。第一个变量是每块地施用羊粪有机肥的量:0 kg/块、2 kg/块、4 kg/块和6 kg/块。第二个因素是不同间距尺寸的变化,分别是20 × 40cm、25 × 40cm、30 × 40cm和35 × 40cm。在本研究中,观察了以下参数:株高、有效枝数、每个样品的荚果数、每个样品的荚果数、每个样品的荚果产量、每个样品的荚果产量和每个样品的100粒重。研究结果表明,施用羊粪有机肥、不同种植间距的评价以及两种处理的交互作用对各参数均无显著影响。包括植株高度、有效分枝数、每个样品的荚果数、每个地块的荚果数、每个样品的荚果产量、每个地块的荚果产量和每个样品的100粒种子重量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increasing Growth and Production of Green beans (Vigna radiata L.) by Providing Organic Fertilizers with Goat Manure and Variations in Planting Spacing
Green bean is a food ingredient that is extensively consumed by the general public and is categorized as having a high frequency of use. This study seeks to determine the effect of organic goat manure on the growth and yield of green beans (Vigna radiata L). It will also examine the impact of plant spacing and the interaction between the two factors. This investigation utilized a factorial randomized block design (RBD) with two regimens and three replications. The first variable was the amount of goat manure organic fertilizer applied to each plot: 0 kg/plot, 2 kg/plot, 4 kg/plot, and 6 kg/plot. The second factor is the variation of the different spacing sizes, which are 20 x 40 cm, 25 x 40 cm, 30 x 40 cm, and 35 x 40 cm. In this study, the following parameters were observed: plant height, number of productive branches, number of pods per sample, number of pods per plot, pod production per sample, pod production per plot, and 100 seed weight per sample. The study's results indicated that the application of goat manure organic fertilizer, the assessment of different plant spacings, and the interaction between the two treatments had no significant effect on any of the parameters. Include plant height, number of productive branches, number of pods per sample, number of pods per plot, pod production per sample, pod production per plot, and 100 seed weight per sample.
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