{"title":"生菜营养膜水培系统的评价","authors":"Ajayi, T. O, Olanrewaju, O.O, Aserifa, T.G","doi":"10.53294/ijfetr.2022.3.2.0050","DOIUrl":null,"url":null,"abstract":"Aquaponics as a key factor in the advancement of integrated food production systems and noted potential by simultaneous combination of aquaculture and hydroponics practice. This study evaluate a nutrient film aquaponics system (NFT) for catfish and lettuce. The catfish was raised under different feeding rate treatment: 5% (TRT5%) and 3% (TRT3%). The lettuce was grown with the water from the two treatments and the convectional method (control). The observation were taken in seventh days after transplanting for 4 weeks. The effect of the treatments and water quality on the growth and yield parameters of lettuce were analyzed using analysis of variance and regression analysis at 5% significance level. The result shows that the initial weight of the stocked fish under different treatment tanks had no significant difference (P<0.05). In 3-10th weeks, TRT5% is significantly (P<0.05) higher than the TRT3%. The TRT5% significantly increased the leaf number and plant height of the lettuce by 27.38% and 28.72% respectively con. The TRT3% significantly increased the leaf number and plant height of the lettuce by 13.10% and 12.34% respectively. The developed mathematical models for number of leaf, plant height, leaf area, weight and productivity had an accuracy of93.2%, 95.6%, 99.7%, 98.28% and 83.32% respectively, Therefore, it should be adopted by small and medium scale aquaponics farmer for significant prediction on lettuce yield as a function of NFT water quality.","PeriodicalId":231442,"journal":{"name":"International Journal of Frontiers in Engineering and Technology Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"valuation of a nutrient film aquaponic system for growing of lettuce\",\"authors\":\"Ajayi, T. O, Olanrewaju, O.O, Aserifa, T.G\",\"doi\":\"10.53294/ijfetr.2022.3.2.0050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aquaponics as a key factor in the advancement of integrated food production systems and noted potential by simultaneous combination of aquaculture and hydroponics practice. This study evaluate a nutrient film aquaponics system (NFT) for catfish and lettuce. The catfish was raised under different feeding rate treatment: 5% (TRT5%) and 3% (TRT3%). The lettuce was grown with the water from the two treatments and the convectional method (control). The observation were taken in seventh days after transplanting for 4 weeks. The effect of the treatments and water quality on the growth and yield parameters of lettuce were analyzed using analysis of variance and regression analysis at 5% significance level. The result shows that the initial weight of the stocked fish under different treatment tanks had no significant difference (P<0.05). In 3-10th weeks, TRT5% is significantly (P<0.05) higher than the TRT3%. The TRT5% significantly increased the leaf number and plant height of the lettuce by 27.38% and 28.72% respectively con. The TRT3% significantly increased the leaf number and plant height of the lettuce by 13.10% and 12.34% respectively. The developed mathematical models for number of leaf, plant height, leaf area, weight and productivity had an accuracy of93.2%, 95.6%, 99.7%, 98.28% and 83.32% respectively, Therefore, it should be adopted by small and medium scale aquaponics farmer for significant prediction on lettuce yield as a function of NFT water quality.\",\"PeriodicalId\":231442,\"journal\":{\"name\":\"International Journal of Frontiers in Engineering and Technology Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Frontiers in Engineering and Technology Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53294/ijfetr.2022.3.2.0050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Frontiers in Engineering and Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53294/ijfetr.2022.3.2.0050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
valuation of a nutrient film aquaponic system for growing of lettuce
Aquaponics as a key factor in the advancement of integrated food production systems and noted potential by simultaneous combination of aquaculture and hydroponics practice. This study evaluate a nutrient film aquaponics system (NFT) for catfish and lettuce. The catfish was raised under different feeding rate treatment: 5% (TRT5%) and 3% (TRT3%). The lettuce was grown with the water from the two treatments and the convectional method (control). The observation were taken in seventh days after transplanting for 4 weeks. The effect of the treatments and water quality on the growth and yield parameters of lettuce were analyzed using analysis of variance and regression analysis at 5% significance level. The result shows that the initial weight of the stocked fish under different treatment tanks had no significant difference (P<0.05). In 3-10th weeks, TRT5% is significantly (P<0.05) higher than the TRT3%. The TRT5% significantly increased the leaf number and plant height of the lettuce by 27.38% and 28.72% respectively con. The TRT3% significantly increased the leaf number and plant height of the lettuce by 13.10% and 12.34% respectively. The developed mathematical models for number of leaf, plant height, leaf area, weight and productivity had an accuracy of93.2%, 95.6%, 99.7%, 98.28% and 83.32% respectively, Therefore, it should be adopted by small and medium scale aquaponics farmer for significant prediction on lettuce yield as a function of NFT water quality.