Quantification of genotype x environment interaction of agronomic traits in ashwagandha (Withania somnifera (L.) Dunal)

被引:2
|
作者
Kumar, A. [1 ]
Jnanesha, A. C. [1 ]
Kumar, V. M. [1 ]
Lal, R. K. [2 ]
机构
[1] CSIR Cent Inst Med & Aromat Plants, Lucknow 226015, India
[2] CSIR Cent Inst Med, Aromat Plants Res Ctr, Hyderabad 500092, India
关键词
Alkaloids; genotypes x locations x years; Immune system; Therapeutic potential; Variability; Withanolide A; YIELD STABILITY; BIPLOT ANALYSIS; AMMI ANALYSIS; GGE BIPLOT; ROOT YIELD; ADAPTABILITY; EXTRACT; TRIAL;
D O I
10.1016/j.chnaes.2022.07.002
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Ashwagandha is a popular industrially medicinal plant used in Ayurveda and other traditional medical systems. We looked at the stability of the sixteen economic traits in the five ashwagandha genotypes in four locations over two years in south India. The pooled ANOVA showed significant differences among different lines of ashwagandha. The five genotypes (G), genotypes x locations interaction (G x L), and treatments were highly significant for all sixteen traits. The character's associations directly impact the genotype's ability to sustain stability. The traits X10-VS-X13 and X3-VS-X4 were positively and significantly related across the locations over the three years, according to correlations among the selected traits, indicating that choosing one trait had a beneficial impact on its associated attributes. Except for location I year two, the traits, specifically X11-VS-X13, were highly significant across all locations. The characteristics, specifically X12-VS-X13, were also highly significant, except for location I year I. The genotypes nearest the ideal variety are more desirable than the other. The genotypes W.S. 3 and W.S. 5 for the traits X11 and X16, W.S. 2, and W.S. 5 for the trait X15 were more desirable for selection. In a large amount, both predictable and unanticipated components contributed to the stability. The PCA distribution also showed a significant amount of morphologically based genetic variability. Different genotypes of ashwagandha showed a substantial variation in X15 = Withaferin-A (%) and X16 = Withanolide-A (%). The percentages of X15 = Withaferin-A (W.S.2 > W.S.5 > W.S. > 4 W.S.3 > W.S.1) and X16 = Withanolide-A (W.S.3 > W.S.5 > W.S.4 > W.S.2 > W.S.1) were shown to be 0.07 to 1.24% and 0.088 to 1.88%, respectively. Based on the mean performance of the most economically important traits and stability parameters, the two superior genotypes, W.S. 3 and W.S. 5 were highly stable for dry root yield with high-quality alkaloids. In south India, these genotypes are recommended for further cultivation.
引用
收藏
页码:604 / 616
页数:13
相关论文
共 50 条
  • [1] Transvaluate of genotype x environment x season interaction of agronomic traits and bioactive compounds of Withania somnifera (L.) Dunal in the Deccan plateau region
    Jnanesha, A. C.
    Venugopal, S.
    Kumar, R. S.
    Bharath, K. S.
    Kumar, A.
    Lal, R. K.
    Chandrashekar, G. S.
    JOURNAL OF APPLIED RESEARCH ON MEDICINAL AND AROMATIC PLANTS, 2023, 35
  • [2] Medicinal evaluation of Withania somnifera (L.) Dunal (Ashwagandha)
    Kumar, P
    Kushwaha, RA
    ASIAN JOURNAL OF CHEMISTRY, 2006, 18 (02) : 1401 - 1404
  • [3] Elucidation of genotype–environment interactions and genetic stability parameters for yield, quality and agromorphological traits in ashwagandha (Withania somnifera (L.) Dunal)
    MITHLESH KUMAR
    MANUBHAI PATEL
    RAVINDRASINGH CHAUHAN
    CHANDRESH TANK
    SATYANARAYAN SOLANKI
    PRAVINBHAI PATEL
    HITENDRA BHADAURIA
    RAMAN GAMI
    KAREN PACHCHIGAR
    NISHIT SONI
    PRANAY PATEL
    ANUJ SINGH
    NITIN PATEL
    RAMESH PATEL
    Journal of Genetics, 2020, 99
  • [4] Elucidation of genotype-environment interactions and genetic stability parameters for yield, quality and agromorphological traits in ashwagandha (Withania somnifera(L.) Dunal)
    Kumar, Mithlesh
    Patel, Manubhai
    Chauhan, Ravindrasingh
    Tank, Chandresh
    Solanki, Satyanarayan
    Patel, Pravinbhai
    Bhadauria, Hitendra
    Gami, Raman
    Pachchigar, Karen
    Soni, Nishit
    Patel, Pranay
    Singh, Anuj
    Patel, Nitin
    Patel, Ramesh
    JOURNAL OF GENETICS, 2020, 99 (01)
  • [5] Exegesis of cultivars-multi-year/environment interactions for agro morphological traits in Ashwagandha (Withania somnifera (L.) Dunal)
    Kumar, Ashish
    Lal, R. K.
    Gupta, A. K.
    Jnanesha, A. C.
    Jhang, Tripta
    Srivastava, Jyotsana
    Kumari, Manisha
    SOUTH AFRICAN JOURNAL OF BOTANY, 2022, 151 : 523 - 531
  • [6] Estimation of withanolide-A in diverse genotypes of Ashwagandha Withania somnifera (L.) Dunal
    Chauhan, Surya
    Joshi, Arunabh
    Jain, Rohit
    Jain, Devendra
    INDIAN JOURNAL OF EXPERIMENTAL BIOLOGY, 2019, 57 (03) : 212 - 217
  • [7] An updated review on phytochemistry and molecular targets of Withania somnifera (L.) Dunal (Ashwagandha)
    Bashir, Arsalan
    Nabi, Masarat
    Tabassum, Nahida
    Afzal, Suhaib
    Ayoub, Mehrose
    FRONTIERS IN PHARMACOLOGY, 2023, 14
  • [8] Ashwagandha (Withania somnifera (L.) Dunal): A scientific review with respect to Ayurvedic perspectives
    Khare, C. P.
    Naharwar, Andrew Vikram
    ANNALS OF PHYTOMEDICINE-AN INTERNATIONAL JOURNAL, 2020, 9 (02): : 134 - 141
  • [9] HPLC Analysis of Bioactive Steroids from the Roots of Withania somnifera (L.) Dunal (Ashwagandha)
    Nayak, Preeti Sagar
    Upadhyaya, Sunil Datt
    Upadhyaya, Anubha
    LATIN AMERICAN JOURNAL OF PHARMACY, 2010, 29 (03): : 468 - 471
  • [10] Pharmacokinetic and pharmacodynamic effects of Withania somnifera (L.) Dunal (ashwagandha) and carbamazepine combination in rats
    Alsabaa, Zein Husam
    Abu-Qatouseh, Luay
    Mansoor, Kenza
    El-Hajji, Feras Darwish
    Bardees, Razan
    Aljabr, Ghofran
    Omari, Khaled W.
    Mallah, Eyad
    JOURNAL OF PHARMACY & PHARMACOGNOSY RESEARCH, 2025, 13 (03): : 925 - 932