基因型和不同生产环境对姜黄素及其稳定性的影响

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Raghuveer Silaru, Aarthi Sounderarajan, Yuvaraj Kotha Madduri, Prasath Duraisamy
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引用次数: 0

摘要

了解基因型与环境相互作用(GEI)对姜黄素在不同生产环境下的性能和稳定性的影响,对于选择适合不同生产环境的基因型具有重要意义。本研究对印度不同地理位置的21种姜黄基因型在温室、垂直结构和露天三种环境条件下的姜黄素(cur -姜黄素、dmc -去甲氧基姜黄素和bdmc -双去甲氧基姜黄素)进行了研究。方差分析表明,GEI对姜黄素有显著影响,强调了GEI对基因型性能的重要性。在垂直结构中,发现IISR Pragati和Waigon Turmeric对所有三种姜黄素都具有优势。在温室条件下,CIM Pitambar、CO 3和Acc 1545对BDMC表现较好,CIM Pitambar、IISR Prathiba和IISR Pragati对DMC表现较好,Acc 1545对CUR表现较好。在大田条件下,wiigon姜黄的BDMC和DMC表现较高,而Roma、Acc 1545和IISR Prathiba的CUR表现最高。结果表明,4种基因型的姜黄素相对比主要受基因型的影响,而环境的影响较小。在不同的生产环境中,姜黄素最有希望的基因型是Waigon Turmeric、Rajendra Sonali、Roma、IISR Prathiba、Acc. 1545、NDH 8、IISR Pragati和CIM Pitambar。此外,与其他基因型相比,用于BDMC的IISR Pragati、用于DMC的Acc 69/22/5/I3和用于CUR的Rajendra Sonali均表现出优异的性能和更大的稳定性。在本研究中,在三种生产环境中,田间条件,其次是温室条件,对所有三种姜黄素都是最好的。这些发现对提取行业和农民选择最佳基因型和合适的生产环境以有针对性地生产姜黄中的高级姜黄素具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of Genotypes and Contrasting Production Environments on Curcuminoids and its Stability in Turmeric (Curcuma longa L.).

Understanding the genotype × environment interaction (GEI) on the performance and stability of curcuminoids among turmeric genotypes across production environments is essential for selecting suitable genotypes for different production environments. In the present investigation, 21 turmeric genotypes of various geographical locations in India were assessed for curcuminoids (CUR-curcumin, DMC-demethoxycurcumin, and BDMC-bis demethoxycurcumin) under three environmental conditions viz, green house, vertical structures and open field. The analysis of variance indicated significant GEI effects on curcuminoids, underscoring the importance of GEI on genotype performance. In vertical structures, IISR Pragati and Waigon Turmeric were found to be superior for all three curcuminoids. In greenhouse conditions, CIM Pitambar, CO 3, and Acc. 1545 were superior for BDMC, while CIM Pitambar, IISR Prathiba, and IISR Pragati excelled for DMC, and Acc. 1545 for CUR. Under field conditions, Waigon Turmeric recorded higher BDMC and DMC, while Roma, Acc. 1545, and IISR Prathiba had the highest CUR. Our findings revealed that the curcuminoids relative ratio among the genotypes, which grouped into four patterns, was primarily influenced by genotype rather than environment. The promising genotypes for curcuminoids across the production environments were Waigon Turmeric, Rajendra Sonali, Roma, IISR Prathiba, Acc. 1545, NDH 8, IISR Pragati, and CIM Pitambar. Additionally, IISR Pragati for BDMC, Acc. 69/22/5/I3 for DMC, and Rajendra Sonali for CUR exhibited both superior performance and greater stability compared to other genotypes. In the present study, Field conditions, followed by greenhouse conditions, were found to be the best for all three curcuminoid across three production environments. These findings are crucial for extraction industries and farmers to choose the best genotypes and suitable production environments for targeted production of higher curcuminoids in turmeric.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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