Volume: 42 Issue: 2
Estimation of intra-specific genetic variability and half-sib family selection using AMMI (Additive Main Effects and Multiplicative Interactions) model in menthol mint (Mentha arvensis L.)
Year: 2020, Page: 102-113, Doi: https://doi.org/10.62029/jmaps.v42i2.Lal
Received: Dec. 7, 2019 Accepted: April 12, 2020 Published: July 1, 2020
Menthol mint (Mentha arvensis L.) is an aromatic and medicinal herb that belongs to the family- Lamiaceae. Mint oil and menthol crystal are widely used in large amounts in cosmetics, perfumery, essential oil and pharmaceutical industries in India and abroad. In addition of being a popular flavoring agent for food, confectionery, and cigarettes, natural menthol has a profound cooling and soothing effect on the human skin and mucous membranes that makes it a useful ingredient in several pharmaceuticals and cosmetics preparations. Demand for natural mint oil is very high world wide. The genetic variability and essential oil yield instability are some of the common setbacks that plant breeders of menthol mint are facing towards developing widely adapted varieties with superior yield and quality of menthol oil. Hybridization between some of the Mentha species occurs frequently in nature. Based on the stability statistics, a number of mint varieties have been developed and released by CSIR-CIMAP, Lucknow (India) for their commercial farming. These include MAS-1, MAS-2, Himalaya, Kalka, Kushal, Saksham, Sambhav, Damroo, Kosi, CIM Saryu, CIM Kranti, etc.In addition, two local varieties Shivalik and Gold are also available for cultivation in India. Nevertheless, as per farmers demand, there is still scope for breeding high oil yielding varieties of menthol mint that are early maturing and have thin suckers. In order to fill this gap, the present investigation was carried out to determine the intra-specific genetic variability and estimation of stability and adaptability patterns of a set of seven half-sib selections from a seed progeny of menthol mint variety Kosi, The selections namely, Line -1, Line -2, Line -3, Line -5, Line -10, Line -11, Line -15 and two check varieties Kosi and CIM-Kranti were evaluated in multiyear/environments set up in India. An AMMI (Additive Main Effects and Multiplicative Interactions) model was applied that provides more authentic information on broader inferences on adaptability. Based on the AMMI model, line15 showed the most extensive adaptability and proved to be the most stable line due to its ability to tolerate broad environmental conditions (temperature/or abiotic stress) in different years. This early maturing line 15 also registered 15% superiority in essential oil yield over variety Kosi and CIM-Kranti. Comparative performance data of these lines is presented and discussed in this communication.
Keywords: AMMI model, Early maturity, Genetic variability, Half-sib family selection, Mentha arvensis Menthol mint
Akçura M, Kaya Y, Taner S. 2005. Genotype × Environmental interactions and phenotypic stability analysis for grain yield of Durum wheat in the Central Anatolian region, Turk J Agric For 29: 369 – 375.
Annicchiarico P. 2002. Genotype × Environmental interactions; Challenges and opportunities for plant breeding and cultivar recommendations. FAO Rome. Pl Prod Prot Paper 174.
Eskridge KM. 1990. Selection of stable cultivars using a safety-first rule. Crop Sci 30: 369- 374.
Finlay KW, Wilkinson GN. 1963. The analysis of adaptation in a plant – breeding programme. Aus J Agric Res 14: 742-754.
Gauch HG. 2007. MATAMODEL Version 3.0: Open source software for AMMI and related analyses, Cornell University, Ithaca, Crop and Soil Sci. NY 14853.
Gupta V. 2018. Smart materials in dentistry: A review. Int J Adv Res Dev 36: 89-96.
Kang MS, Pham HN. 1991. Simultaneous selection for yielding of stable crop genotypes. Agron J 83: 161 – 165.
Lal RK. 2007. Stability and genotypes × environment interactions in fennel. J Herb Spices Med Pl 13: 47-54.
Lal RK. 2013. Adaptability patterns and stable cultivar selection in menthol mint (Mentha arvensis L.): Indus Crops Prod 50: 176–181.
Lal RK, Sharma JR, Sharma S. 2000. Variability and stability pattern in economic traits of chamomile (Chamomilla recutita). J Med Arom Pl Sci 22: 219–222.
Lal R K, Sarkar S, Zaim M. 2017a. Genotype × environment interaction, rhizome yield stability and selection for region specific stable genotypes in turmeric (Curcuma longa L.). Trends Phytochem Res 1: 93-102.
Lal RK, Singh S, Gupta P, Dhawan SS, Sarkar S, Verma RK. 2017b. Quantification of ursolic acid, correlations and contribution by other traits towards accumulation of ursolic acid in six Ocimum species. Trends Phytochem Res 1: 39-46.
Lal RK, Chanotiya CS, Shasany AK, Gupta AK, Singh VR, Sarkar S, Singh S, Dhawan SS, Gupta P, Dhawan OP, Kalra A, Singh HP, Kumar B, Tomar VKS, Kumar S, Singh S, Singh KS, Chandra R, Yadav A, Maurya R. 2017c. Registration of a high-yielding khusilal [nor-sesquiterpene (C14) aldehydes] rich variety CIM-Samriddhi of vetiver (Chrysopogon zizanioides (L.) Nash. J Med Arom Pl Sci 39: 139-144.
Lal RK, Gupta P, Sarkar S. 2018a. Phylogenetic relationships, path and principal component analysis for genetic variability and high oil yielding clone selection in vetiver (Vetiveria zizanioides L.) Nash. J Pl Gen Breed 2: 105- 113.
Lal RK, Chanotiya CS, Gupta P, Sarkar S, Singh S, Maurya R, Srivastava S, Chaudhary PK. 2018b. Phenotypic stability, genotype × environmental interactions, and cultivar recommendations for essential oil yield in khus aromatic grass (Chrysopogon zizanioides (L.) Roberty). Indus Crop Prod 111: 871–877.
Lal RK, Gupta P, Chanotiya CS, Sarkar S. 2018c. Traditional Plant Breeding in Ocimum “The Ocimum Genome”. Compendium of Plant Genomes. Editors- Ajit Kumar Shasany and Chittaranjan Kole Publisher Springer. The Ocimum Genome” Compend Pl Geno Book Chapter 7: 89-98.
Lal RK, Chanotiya CS, Dhawan SS, Gupta P, Sarkar S. 2018d. Genotypic and morphological appearance of the traits in relation to genetic diversity of essential oil yield in vetiver grass (Chrysopogon zizanioides Roberty). Acta Sci Agri (ISSN: 2581-365X) 2: 62-72.
Lal RK, Chanotiya CS, Singh VR, Dhawan SS, Gupta P, Shukla S, Mishra A. 2019. Induced polygenic variations through - rays irradiation and selection of novel genotype in chamomile (Chamomilla recutita [L.] Rauschert). Int J Radi Biol 95: 1242-1250.
Leeuvner DV. 2005. Genotypes × Environment Interactions for sun flower hybrids in South Africa, (M.Sc. Thesis) University of Pretoria, Pretoria.
Lin CS, Binns MR, Lefkovitch LP. 1986. Stability analysis: Where do we stand? Crop Sci 26: 894–900.
Purchase JL. 1997. Parametric analysis to describe genotype × environment interaction and yield stability in winter wheat. (Ph.D. Thesis), University of Free State, Bloemfontein.
Shukla GK. 1972. Some statistical aspects of partitioning Genotypes–Environmental components of variability. Heredity 29: 237– 245.
Wrike G. 1962. ûber eine method zur Erfassuny der ökologischen Streubreite in Feldversuchen. Z Pflanzenzûchtg 47: 92-96.
© CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow-226015
Raj K Lal, Chandan S Chanotiya, Sunita S Dhawan, Pankhuri Gupta, Anand Mishra, Shubham Srivastava, Shama Shukla, Ranjana Maurya. 2020. Estimation of intra-specific genetic variability and half-sib family selection using AMMI (Additive Main Effects and Multiplicative Interactions) model in menthol mint (Mentha arvensis L.). J Med Aromat Plant Sci 42: 102-113.
