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室内系统中凡纳滨对虾养殖最佳益生菌剂量的测定

Determination of optimum probiotic dosage for the culture of whiteleg shrimp, in an indoor system.

作者信息

Akange Edward Terhemen, Kwaghvihi Benjamin Orfega, Odeyemi Olumide A, Rastegari Hajar, Shafie Muhamad Shukri, Rahim Ahmad Ideris Abdul, Kamaruzzan Amyra Suryatie, Abdullah Siti Rozaimah Sheikh, Kasan Nor Azman

机构信息

Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu Darul Iman, Malaysia.

Department of Fisheries and Aquaculture, Joseph Sarwuan Tarka University, PMB 2373 Makurdi, Benue state, Nigeria.

出版信息

MethodsX. 2024 Nov 30;13:103076. doi: 10.1016/j.mex.2024.103076. eCollection 2024 Dec.

Abstract

Determining the optimum application dosage of probiotic in biofloc system is often challenging because the microbial community seems to exert similar effects irrespective of their dosages. It is however noted that certain dosages promote higher yield in shrimp culture more effectively. Principal component analysis was adopted to identify these optimum dosages where 1-way ANOVA could not clearly identify due to the effects of microbial community. The effect of varying application dosages of probiotics in a shrimp culture system on growth indices and water quality variables were studied in a culture trial of that lasted for 84 days in an indoor biofloc culture system. Only 4 (26.66 %) of variables showed significant difference in the 1-way ANOVA conducted. Principal Component Analysis (PCA) was used to illustrate the dimensional interactions among variables. Contributions of observation points at 7 ml.l (Obs1-3), 14 ml.l (Obs 4-6), and 21 ml.l (Obs 7-9) were analyzed. The Obs 4-6 (representing 14 ml.l) had the highest mean contributory effect (11.03) indicating the greatest impact recorded in the PCA relationships among growth indices and water quality variables. It was concluded that probiotic dosages can be determined in biofloc system based on the contributory effect it enhances in the measured variables.•Microbial community in biofloc affects the clear distinctions of the dosages due to proliferations•1-way ANOVA alone may not show dosage-related variations.•PCA could identify the optimum probiotic dosage that would enhance shrimp growth performance and maintain favourable water quality conditions in biofloc aquaculture systems.

摘要

确定益生菌在生物絮团系统中的最佳施用剂量往往具有挑战性,因为无论剂量如何,微生物群落似乎都能发挥相似的作用。然而,值得注意的是,某些剂量能更有效地提高对虾养殖产量。由于微生物群落的影响,单向方差分析无法明确识别这些最佳剂量,因此采用主成分分析来确定这些剂量。在室内生物絮团养殖系统中进行了为期84天的养殖试验,研究了在对虾养殖系统中不同施用剂量的益生菌对生长指标和水质变量的影响。在进行的单向方差分析中,只有4个(26.66%)变量显示出显著差异。主成分分析(PCA)用于说明变量之间的维度相互作用。分析了7毫升/升(观测值1 - 3)、14毫升/升(观测值4 - 6)和21毫升/升(观测值7 - 9)观测点的贡献。观测值4 - 6(代表14毫升/升)具有最高的平均贡献效应(11.03),表明在生长指标和水质变量之间的主成分分析关系中记录到的影响最大。得出的结论是,可以根据益生菌在测量变量中增强的贡献效应来确定生物絮团系统中的益生菌剂量。

•生物絮团中的微生物群落由于增殖而影响剂量的明显区分

•仅单向方差分析可能无法显示与剂量相关的变化

•主成分分析可以确定最佳的益生菌剂量,从而提高对虾生长性能并在生物絮团水产养殖系统中维持有利的水质条件

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/789a/11663979/2751e938e315/ga1.jpg

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