印度东北地区姜黄素含量、叶油产量和根茎产量的多变量评价

IF 2.9 Q1 AGRICULTURE, MULTIDISCIPLINARY
Anindita Gogoi, Twahira Begum*, Mir Asif Iquebal and Mohan Lal*, 
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引用次数: 0

摘要

姜黄是一种多功能作物,具有重要的烹饪和药用价值。本研究在Jorhat的CSIR NEIST实验农场对152个材料进行了为期两年(2022-2023年和2023-2024年)的形态多样性评估。所有研究性状均表现出显著差异(p≤0.001),表明基因型之间存在显著的遗传变异。遗传变异系数(GCV)为3.46 ~ 63.06,表型变异系数(PCV)为5.08 ~ 63.15,具有广泛的变异谱。株高(PH)、分蘖数/株(NOT)、叶数/株(NOL)、叶长(LL)、叶宽(LW)、初根茎重(IRW)、根茎亩产(RY)等性状的遗传力(33.64 ~ 99.74)和遗传推进率(129.75)均为中高遗传力(33.64 ~ 99.74)。相关分析表明,在基因型和表型水平上,叶挥发油产量与姜黄素含量的正相关最高(r = 0.54和r = 0.53),单株根茎产量与大部分性状(PH、NOT、NOL、LL、LW、IRW)呈显著正相关。其中株高(r = 0.37)和初根茎重(r = 0.30)分别在基因型和表型上具有最高的显著相关性。通径系数分析表明,株高(1.66)和成熟期(0.37)对根茎产量有直接的正影响,而株高(0.40)对姜黄素含量有直接的负影响。这表明具有较高姜黄素浓度的矮化基因型的潜力。利用Mahalanobis D2统计,鉴定出16个不同的聚类,主成分分析(PCA)发现10个主成分对观察到的变异性有贡献(69.03%)。这是首次对印度东北部如此大量的长叶藤材料的叶精油产量、姜黄素含量和根茎产量等性状进行相关和通径分析的综合报告。这些发现为姜黄的遗传多样性、育种策略和保护工作提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multivariate Assessment of Curcuminoid Content, Leaf Oil Yield, and Rhizome Productivity in Curcuma longa Accessions from Northeast India

Multivariate Assessment of Curcuminoid Content, Leaf Oil Yield, and Rhizome Productivity in Curcuma longa Accessions from Northeast India

Curcuma longa L. (turmeric) is a versatile crop of significant culinary and medicinal value. In the present study, 152 accessions were evaluated to assess morphological diversity for two years (2022–2023 and 2023–2024) at the CSIR NEIST experimental farm, Jorhat. All studied traits exhibited significant variation (p ≤ 0.001), indicating substantial genetic variability among the genotypes. The genetic coefficient of variation (GCV) ranged from 3.46 to 63.06, while the phenotypic coefficient of variation (PCV) ranged from 5.08 to 63.15, reflecting a wide spectrum of variability. Most traits plant height (PH), number of tillers/plant (NOT), number of leaves/plant (NOL), leaf length (LL), leaf width (LW), initial rhizome weight (IRW), rhizome yield per plot (RY)) demonstrated moderate to high heritability (33.64–99.74) and high genetic advance as a percentage of the mean (129.75), except for days to maturity. Correlation analysis revealed strong associations among traits where leaf essential oil yield showed the highest positive correlation with curcuminoid content (r = 0.54 and r = 0.53) at the genotypic and phenotypic levels, respectively, and the rhizome yield per plot showed significant and positive correlation with most of the characters (PH, NOT, NOL, LL, LW, IRW), where plant height (r = 0.37) and initial rhizome weight (r = 0.30) were found to have the highest significant correlation both genotypically and phenotypically, respectively. Path coefficient analysis indicated that plant height (1.66) and days to maturity (0.37) had a direct positive effect on rhizome yield, whereas plant height (0.40) had a negative direct effect on curcuminoid content. This suggests the potential for developing dwarf genotypes with a higher curcuminoid concentration. Using Mahalanobis D2 statistics, 16 distinct clusters were identified, and principal component analysis (PCA) revealed 10 principal components contributing to the observed variability (69.03%). This is the first comprehensive report incorporating correlation and path analysis for traits such as leaf essential oil yield, curcuminoid content, and rhizome yield per plot together across such a large number of C. longa accessions from Northeast India. These findings provide valuable insights into the genetic diversity, breeding strategies, and conservation efforts for turmeric.

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