PENGARUH KONSENTRASI DAN INTERVAL WAKTU PEMBERIAN POC LIDAH BUAYA TERHADAP PERTUMBUHAN DAN HASIL TANAMAN MENTIMUN (Cucumis sativus L.)

Dony Prasetyo, Srie Juli Rachmawatie, Pramono Hadi
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Abstract

This study aims to obtain the best concentration of aloe vera POC on the growth and yield of cucumber plants, to determine the time interval of giving the best aloe vera POC to the growth and yield of cucumber plants, and to determine the effect of the interaction of concentration and frequency of aloe vera POC on the growth and yield of cucumber plants. . This research was carried out from March 2022 to April 2022 in Hamlet Kepoh, Tohudan Village, Colomadu District, Karanganyar Regency. This study used the Completely Randomized Block Design (RAKL) method which consisted of two factors. The first factor is the time interval of giving aloe vera POC (I) which consists of 3 levels. The second factor is the concentration of aloe vera POC solution (K) which consists of 4 levels of analysis of variance analysis with the F test or diversity test at the level of 5% and 1%. If each treatment was significantly different, it was continued with the Duncan Multiple Range Test (DMRT) at 5% level. The results of this study indicate that the time interval treatment of aloe vera POC (I) showed the best effect on the parameters of observing the number of fruits (2.42), fruit length (20.83 cm), dry bean weight (38.33 g), weight fresh chestnut (254.17 g) and root length (43.84 cm). The treatment of aloe vera POC concentration (K) showed the best effect on the parameters of the fresh weight (261.11 g). The interaction between concentration and time interval of aloe vera POC administration (I X K) showed the best effect on the observed parameters of root length (50 cm).
芦荟的浓度和间距对黄瓜的生长和结果的影响(Cucumis sativus L)。
本研究旨在获得芦荟POC对黄瓜植株生长和产量的最佳浓度,确定给予最佳芦荟POC对黄瓜植株生长和产量的时间间隔,确定芦荟POC浓度和频率的交互作用对黄瓜植株生长和产量的影响。该研究于2022年3月至2022年4月在卡兰甘雅县科伦坡区Tohudan村Kepoh村进行。本研究采用完全随机区组设计(RAKL)方法,该方法由两个因素组成。第一个因素是给予芦荟POC (I)的时间间隔,它由3个水平组成。第二个因素是芦荟POC溶液的浓度(K),由4个水平的方差分析组成,分别在5%和1%的水平上进行F检验或多样性检验。如果每个治疗都有显著差异,则继续进行邓肯多元范围测试(DMRT),水平为5%。本研究结果表明,芦荟POC (I)的时间间隔处理对观察果实数(2.42)、果长(20.83 cm)、干豆重(38.33 g)、鲜栗重(254.17 g)和根长(43.84 cm)等参数效果最佳。芦荟POC浓度(K)处理对鲜重(261.11 g)参数的影响最好,芦荟POC浓度与时间间隔(I X K)的交互作用对根长(50 cm)参数的影响最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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