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Morphological and nutritional diversity among accessions of marvel grass (Dichanthium annulatum (Forssk.) Stapf) and development of a core collection

Published online by Cambridge University Press:  02 February 2022

A. K. Roy
Affiliation:
ICAR-Indian Grassland and Fodder Research Institute, Jhansi, India
D. R. Malaviya*
Affiliation:
ICAR-Indian Grassland and Fodder Research Institute, Jhansi, India
P. Kaushal
Affiliation:
ICAR-Indian Grassland and Fodder Research Institute, Jhansi, India
S. K. Mahanta
Affiliation:
ICAR-Indian Grassland and Fodder Research Institute, Jhansi, India
R. Tewari
Affiliation:
ICAR-Indian Grassland and Fodder Research Institute, Jhansi, India
R. Chauhan
Affiliation:
ICAR-Indian Grassland and Fodder Research Institute, Jhansi, India
A. Chandra
Affiliation:
ICAR-Indian Grassland and Fodder Research Institute, Jhansi, India
*
Author for correspondence: D. R. Malaviya, E-mail: drmalaviya47@rediffmail.com

Abstract

Dichanthium annulatum is one of the dominant grasses of India, North Africa, Southeast Asia, China, Australia, Fiji, New Guinea, Cuba, Haiti and Puerto Rico. This drought-tolerant grass is an excellent fodder in mixed pastures. Developing varieties with improved quality and tolerance to various abiotic stresses is hampered due to its apomictic nature. Germplasm collection, characterization, genetic diversity analysis and core subset development followed by selection for desirable traits seems to be the most plausible breeding tool for developing new cultivars. In the present study, 498 genotypes collected from different agro-ecological zones in India were included. Genotypes were characterized for various metric and non-numeric traits; and the nutritional parameters. Agglomerative clustering analysis, using the Euclidean distance method, showed 14 distinct clusters. High variability was recorded for green forage yield, quantitative traits and nutritive quality parameters. A core subset of 50 accessions was identified, which captured most of the morphological and nutritional variability present in the total germplasm. Clustering of genotypes was observed to be related to the climatic conditions of the place of collection. High genetic variability observed for various morphological traits as well as forage yield indicated that these genotypes or subset of genotypes can be evaluated in different abiotic stress conditions such as salt, light and moisture stress for the identification of suitable varieties for the respective areas. Variability was attributed to inter-generic, inter-specific crossing together with the occasional presence of sexual plants in nature.

Type
Crops and Soils Research Paper
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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Footnotes

*

Present address: ICAR – Indian Institute of Sugarcane Research, Lucknow, India

Present address: ICAR – National Institute of Biotic Stress Management, Raipur, India

References

Agarwal, DK, Roy, AK and Gupta, S (1998) Forage genetic resources for improving quality and productivity in Indian rangelands. In Proceedings of International Conference on ‘Security and Crop Science’ (November 3–6, 1998), CCSHAU, Hisar, India.Google Scholar
Agarwal, DK, Gupta, S, Roy, AK and Gupta, SR (1999) Study on agromorphological variation vis-à-vis geographical distribution in marvel grass (Dichanthium annulatum L. (Stapf.)). Plant Genetic Resources Newsletter 118, 2729.Google Scholar
Ahmad, L, Kanth, RH, Parvaze, S and Mahdi, SS (2017) Agro-climatic and agro-ecological zones of India. In Experimental Agrometeorology: A Practical Manual. Cham: Springer International Publishing AG. pp. 99118. https://doi.org/10.1007/978-3-319-69185-5_15.CrossRefGoogle Scholar
AOAC (1980) Official Methods of Analysis, 13th Edn. Washington, DC: Association of Official Analytical Chemists.Google Scholar
Arora, RK, Mehra, KL and Hardas, MW (1975) The Indian gene center, prospect for exploration and collection of herbage grasses. Forage Research 1, 11.Google Scholar
Bhagmal, , Singh, KA, Roy, AK, Ahmad, S and Malaviya, DR (2009) Forage crops and grasses. In Hand Book of Agriculture. New Delhi, India: Indian Council of Agricultural Research, pp. 13531417.Google Scholar
Bhat, BA and Roy, AK (2007) Genetic diversity in Heteropogon contortus. Range Management & Agroforestry 28, 300301.Google Scholar
Bhat, BA and Roy, AK (2014) Genetic diversity based on isozymic banding pattern in Heteropogon contortus-A perennial tropical forage grass. The Indian Journal of Agricultural Sciences 84, 14641469.Google Scholar
Bisht, IS, Mahajan, RK, Lokknathan, TR and Agrawal, RC (1998) Diversity in Indian sesame collection and stratification of germplasm accessions in different diversity groups. Genetic Resources and Crop Evolution 45, 325335.CrossRefGoogle Scholar
Bogdan, AV (1977) Tropical Pasture and Fodder Plants. London: Longman.Google Scholar
Bor, NL (1960) The Grasses of Burma, Ceylon, India and Pakistan. London: Pergamon Press.Google Scholar
Brown, AHD (1989 a) Core collections: a practical approach to genetic resources management. Genome 31, 818824.CrossRefGoogle Scholar
Brown, AHD (1989 b) The case for core collections. In Brown, AHD, Frankel, OH, Marshall, DR and Williams, JR (eds), The Use of Plant Genetic Resources. Cambridge, UK: Cambridge University Press, pp. 136156.Google Scholar
Buxton, DR and Marten, GC (1989) Forage quality of plant parts of perennial grasses and relationship to phenology. Crop Science 29, 429435.CrossRefGoogle Scholar
Celarier, RP, Mehra, KL and Wulf, ML (1958) Cytogeography of the Dichanthium annulatum complex. Brittonia 10, 5972.CrossRefGoogle Scholar
Chandra, S, Huaman, Z, Hari, KS and Ortiz, R (2002) Optimal sampling strategy and core collection size of Andean tetraploid potato based on isozyme data: a simulation study. Theoretical and Applied Genetics 104, 13251334.CrossRefGoogle ScholarPubMed
Chandra, A, Roy, AK, Saxena, R and Dubey, A (2003) Identification of suitable primers to develop DNA fingerprints of marvel grass. Indian Journal of Agricultural Biochemistry 16, 2327.Google Scholar
Chandra, A, Saxena, R, Roy, AK and Pathak, PS (2004) Estimation of genetic variation in Dichanthium annulatum genotypes by the RAPD technique. Tropical Grasslands 38, 245252.Google Scholar
Chandra, A, Saxena, R and Roy, AK (2006) Polymorphism and genotype-specific markers for Dichanthium identified by random amplified polymorphic DNA. Genetic Resource and Crop Evolution 53, 15211529.CrossRefGoogle Scholar
Chandra, A, Roy, AK and Kumar, S (2010) Molecular techniques for improvement of forage crops. Range Management & Agroforestry 31, 8796.Google Scholar
Chandra, A, Jain, R, Solomon, S, Shrivastava, S and Roy, AK (2013) Exploiting EST databases for the development and characterisation of 3425 gene-tagged CISP markers in biofuel crop sugarcane and their transferability in cereals and orphan tropical grasses. BMC Research Notes 6, 47.CrossRefGoogle ScholarPubMed
Charmet, G and Balfourier, F (1995) The use of geostatistics for sampling a core collection of perennial ryegrass populations. Genetic Resource and Crop Evolution 42, 303309.CrossRefGoogle Scholar
Chauhan, R, Tiwari, R, Roy, AK, Kaushal, P, Malaviya, DR, Chandra, A and Mahanta, SK (2007) Variation for morphological traits in Dichanthium Bothriochloa complex. Range Management & Agroforestry 28, 293294.Google Scholar
Chedda, HR and Harlan, JR (1962) Mode of chromosome association in Bothriochloa hybrids. Caryologia 15, 461476.CrossRefGoogle Scholar
Cook, BG, Pengelly, BC, Brown, SD, Donnelly, JL, Eagles, DA, Franco, MA, Hanson, J, Mullen, BF, Partridge, IJ, Peters, M and Schultze-Kraft, R (2005) Tropical Forages. Brisbane, Australia: CSIRO, DPI&F (Qld), CIAT and ILRI.Google Scholar
Cruz, RD and Reddy, PS (1971) Inheritance of apomixis in Dichanthium. Indian Journal of Genetics and Plant Breeding 31, 451460.Google Scholar
Dabadghao, PM and Shankarnarayan, KA (1973) The Grass Covers of India. New Delhi: Indian Council of Agricultural Research, pp. 1713.Google Scholar
Duke, JA (1983) Handbook of Energy Crops. Unpublished. Available at https://hort.purdue.edu/newcrop/duke_energy/Dichanthium_annulatum.html (Accessed 24 December 2020).Google Scholar
FAO (2010) Grassland Index. A searchable catalogue of grass and forage legumes. Rome, Italy: FAO.Google Scholar
Goering, HK and Van Soest, PJ (1970) Forage Fiber Analysis: Apparatus, Reagent, Procedures and Some Applications. Agricultural Handbook No. 379. Washington, DC: ARS, USDA.Google Scholar
Gupta, SK (1980) Effect of clipping on biomass and net productivity of underground parts in grassland ecosystem. Indian Journal of Ecology 7, 215223.Google Scholar
Gupta, PK, Roy, RP and Singh, AP (1969) Aposporous apomixis: seasonal variation in tetraploid Dichanthium annulatum (Forsk.) Stapf. Portugaliae Acta Biologica 11, 253260.Google Scholar
Gupta, SR, Roy, AK and Gupta, JN (1996) Ecological diversity and tiller dynamics in Dichanthium annulatum (Forsk.) Stapf. In Proceedings of National Symposium on ‘Agriculture and Environment’ (March 6–8, 1996), Jhansi, India.Google Scholar
Harlan, JR, Celarier, RP, Richardson, WL, Brooks, MH and Mehra, KL (1958) Studies on Old World Bluestems II. Oklahoma State University, USA: Oklahoma Agricultural Experiment Station Technical Bulletin, pp. 172.Google Scholar
Ismail, ABO, Fatur, M, Ahmed, FA, Ahmed, EHO and Ahmed, MEE (2014) Nutritive value and palatability of some range grasses in low rainfall woodland savanna of South Darfur in Sudan. Range Management & Agroforestry 35, 193197.Google Scholar
Jain, A, Roy, AK, Kaushal, P, Malaviya, DR and Zadoo, SN (2003) Principal component analysis in Guinea grass (Panicum maximum Jacq) germplasm. Indian Journal of Plant Genetic Resources 16, 9699.Google Scholar
Jain, A, Roy, AK, Kaushal, P, Malaviya, DR and Zadoo, SN (2006) Isozyme banding pattern and estimation of genetic diversity among Guinea grass germplasm. Genetic Resource and Crop Evolution 53, 339347.CrossRefGoogle Scholar
Johnson, WL, Hardison, WA and Castillo, LS (1967) The nutritive value of Panicum maximum (Guinea grass): yields and chemical composition related to season and herbage growth stage. Journal of Agricultural Science 69, 155160.CrossRefGoogle Scholar
Mahala, AG, Nsahlai, IV, Basha, NAD and Mohammed, LA (2009) Nutritive evaluation of natural pasture at early and late rainfall season in Kordofan and Butana, Sudan. Australian Journal of Basic and Applied Science 3, 43274332.Google Scholar
Malaviya, DR, Roy, AK and Kaushal, P (2018) Rangelands/grasslands of India current status and future prospects. In Squires, VR, Dengler, J, Febg, H and Hua, L (eds). Grasslands of the World Diversity, Management and Conservation. Boca Raton, US: CRC Press, pp. 223240.Google Scholar
Malhi, SS, Foster, A and Gill, KS (2003) Harvest time and N fertilizer effects on forage yield and quality of quackgrass (Elytrigia repens L.) in Northeastern Saskatchewan. Canadian Journal of Plant Science 83, 779784.CrossRefGoogle Scholar
Mandal, D, Srivastava, P, Giri, N, Kaushal, R, Cerda, A and Alam, NM (2017) Reversing land degradation through grasses: a systematic meta-analysis in the Indian tropics. Solid Earth 8, 217233CrossRefGoogle Scholar
Mehra, KL (1961) Chromosome number, geographical distribution and taxonomy of the Dichanthium annulatum complex. Cytologia 17, 176.Google Scholar
Mehra, KL and Magoon, ML (1974) Collection, conservation and exchange of gene pools of forage grasses. Indian Journal of Genetics 34, 26.Google Scholar
Monson, WG and Burton, GW (1982) Harvest frequency and fertilizer effects on yield, quality, and persistence of eight Bermuda grasses. Agronomy Journal 74, 371374.CrossRefGoogle Scholar
Noirot, M, Messager, JL, Dubos, B, Miqucl, M and Lavorez, O (1986) La production grainière des nouvelles variétés de Panicum maximum Jacq. sélectionnées en côte-d'Ivoire. Fourrages 106, 1119.Google Scholar
Ortiz, R, Ruiz-Tapia, EN and Mujica-Sanchez, A (1998) Sampling strategy for a core collection of Peruvian quinoa germplasm. Theoretical and Applied Genetics 96, 475483.CrossRefGoogle ScholarPubMed
Ram, B, Dayal, D and Shamsudheen, M (2009) Genetic variability of marvel grass (Dichanthium annulatum) germplasm with higher forage yield for sustaining arid range lands. In Proceedings: Book of Abstracts. National Seminar on “Designing Crops for the changing climate”, October 30-31, 2009. Ranchi, India, p. 50.Google Scholar
Ram, B, Dayal, D, Meena, S, Kumar, A, Machiwal, D and Vyas, S (2013) Morphological variability and stability for seed and forage yield of marvel grass (Dichanthium annulatum (Forssk.) Stapf) under north western arid rangeland of Gujarat-India. Indian Journal of Genetics and Plant Breeding 73, 342346.CrossRefGoogle Scholar
Rathod, P and Dixit, S (2019) Green Fodder Production: A Manual for Field Functionaries. Patancheru, Telangana, India: International Crops Research Institute for the Semi-Arid Tropics, p. 56.Google Scholar
Reddy, PS (1967) Study of Mechanism and Inheritance of Apomixis in Dichanthium. PhD thesis, University of Pune, India.Google Scholar
Reddy, PS and D'Cruz, R (1969) Mechanism of apomixis in Dichanthium annulatum. Botanical Gazette 130, 7179.CrossRefGoogle Scholar
Roy, AK (2004) Genetic variability, character association and path analysis in black spear grass (Heteropogon contortus L.). Range Management & Agroforestry 25, 1116.Google Scholar
Roy, AK, Agarwal, DK and Gupta, S (1999) Character association in sen grass. Range Management & Agroforestry 20, 131135.Google Scholar
Roy, AK, Malaviya, DR, Kaushal, P, Chandra, A, Singh, UP, Mahanta, SK, Chauhan, R and Tiwari, R (2009) Descriptors for Dichanthuim Bothriochloa Complex. Jhansi: IGFRI, p. 24.Google Scholar
Roy, AK, Malaviya, DR, Kaushal, P, Mahanta, SK, Tewari, R, Chauhan, R and Chandra, A (2020) Diversity study among Guinea grass (Megathyrsus maximus Jacq.) (Poales: Poaceae) genotypes and development of a core germplasm set. Plant Genetic Resources: Characterization and Utilization 18, 470482.CrossRefGoogle Scholar
Saxena, R and Chandra, A (2010) Isozyme, ISSR and RAPD profiling of genotypes in marvel grass (Dichanthium annulatum). Journal of Environmental Biology 31, 883890.Google Scholar
Saxena, R and Chandra, A (2011) Transferability of STS markers in studying genetic relationships of marvel grass (Dichanthium annulatum). Journal of Environmental Biology 32, 701706.Google Scholar
Skerman, PJ and Riveros, F (1990) Tropical Grasses. FAO Plant Production and Protection Series No. 23. Rome: FAO.Google Scholar
STAR (2013) Statistical Tool for Agricultural Research (STAR) Version: 2.0.1 (c) International Rice Research Institute (IRRI) 2013–2020. Available at http://bbi.irri.org.Google Scholar
Tilley, JMA and Terry, RA (1963) A two stage technique for the in vitro digestion of forage crops. Journal of British Grassland Society 18, 104111.CrossRefGoogle Scholar
Yadav, MS, Mehra, KL and Magoon, ML (1976) Heritability and correlations among fodder yield components in pasture grass, Dichanthium annulatum. Indian Forester 102, 6468.Google Scholar