Research Articles
Vol. 13 No. sp9 (2026): Recent Advances in Agriculture
Assessment of growth attributes and fodder quality traits in Alnus nitida (Spach) Endl. natural populations
School of Agriculture, Baba Farid College of Engineering and Technology, Baba Farid Group of Institutions, Deon, Bathinda 151 001, Punjab, India
Department of Tree Improvement and Genetic Resources, College of Forestry, Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Nauni-Solan 173 230, Himachal Pradesh, India
Department of Agriculture, Sant Baba Bhag Singh University, Khiala-Jalandhar 144 030, Punjab, India
School of Agriculture Sciences, Rayat Bahra University, Kharar-Mohali 140 301, Punjab, India
Department of Horticulture, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Baru Sahib 173 101, Himachal Pradesh, India
Abstract
While Alnus nitida (Spach) Endl. is a vital multipurpose tree in the Western Himalayas, combined evaluations of phenotypic traits and fodder quality across wide elevation gradients are lacking. To address this gap, 15 natural populations in Himachal Pradesh (1000–2466 m above mean sea level) were evaluated during 2021–22 to establish a multi-trait baseline for tree improvement and elite genotype selection. The investigation was conducted in Chamba, Kullu and Shimla districts, covering an altitudinal range of 1000–2466 m above mean sea level. Fifteen sites (five each from district) were selected and five phenotypically superior trees from each site were evaluated for growth, leaf morphology and fodder quality parameters. Significant variation was observed among populations for morphological traits such as tree height, diameter at breast height, crown length, clear bole height and leaf characteristics, with populations from Bharmour, Salooni, Jubbal, Kotkhai and Rampur showing superior performance. Similarly, fodder quality traits including fresh and dry leaf weight, crude protein, crude fibre, ash content, ether extract and nitrogen-free extract exhibited considerable variability. Rampur recorded the highest leaf biomass (99.73 g) and crude fibre (25.94 %), while Bharmour recorded maximum crude protein (16.97 %) and ash content (5.23 %). Correlation, principal component and cluster analyses revealed substantial genetic diversity among genotypes. The findings highlight the potential for selecting superior populations for tree improvement, enhanced fodder value and sustainable agroforestry development in the Himalayan region.
References
- 1. Zewde NT, Denboba MA, Tadesse SA. Perceptions and attitudes of local people towards participatory natural resources management in the Jemma Watershed, North Shewa Zone, Ethiopia. Sustain Environ. 2024;10. https://doi.org/10.1080/27658511.2024.2310400
- 2. Anonymous. Firewood crops, shrubs and tree species for energy production. Washington, DC: NAS; 1980. https://doi.org/10.17226/21317
- 3. Zobel B, Talbert J. Applied forest tree improvement. New York: John Wiley and Sons; 1984.
- 4. Munthali CRY, Chirwa PW, Changadeya WJ, Akinnifesi FK. Genetic differentiation and diversity of Adansonia digitata L. (Baobab) in Malawi using microsatellite markers. Agrofor Syst. 2013;87:117–30. https://doi.org/10.1007/s10457-012-9528-2
- 5. Vimal OP, Tyagi IJ. Energy from biomass. Prentice Publishing Company; 1984. https://doi.org/10.1016/0038-092X(84)90217-2
- 6. Hafeez F, Chaudhary AH, Akkermans ADL. Physiological studies on nitrogen-fixing root nodules of Datisca cannabina L. and Alnus nitida Endl. from Himalayan region in Pakistan. Dev Plant Soil Sci. 1984;78:129–46. https://doi.org/10.1007/978-94-009-6158-6_12
- 7. Mebberley DJ. The plant book: a portable dictionary of the higher plants. Cambridge, New York, New Rochelle, Melbourne, Sydney: Cambridge University Press; 1989. p. 20.
- 8. Borsch T. World Flora Online: placing taxonomists at the heart of a definitive and accessible online flora of all known plants. Taxon. 2020;69:1311–41. https://doi.org/10.1002/tax.12373
- 9. Kheloufi A, Mansouri LM, Khettache H. Seed germination and seedling establishment of cherimoya (Annona cherimola Mill.) at different temperature. Cercet Agron Mold. 2020;53:185–94. https://doi.org/10.46909/cerce-2020-016
- 10. Hill WG. Understanding and using quantitative genetic variation. Philos Trans R Soc B Biol Sci. 2010;365:73–85. https://doi.org/10.1098/rstb.2009.0203
- 11. Lee K, Kim IS, Choi WY. Enhancing breeding potential and genetic conservation: a comprehensive approach to plus-tree selection for Tilia amurensis improvement. Forests. 2023;14:1972. https://doi.org/10.3390/f14101972
- 12. Bhagta S, Sankhyan HP, Sharma JP, Kumari R. Assessment of variability in half sib progenies of Grewia optiva Drummond for various qualitative and quantitative traits in North Western Himalayas. Int J Curr Microbiol Appl Sci. 2019;8:1661–9. https://doi.org/10.20546/ijcmas.2019.804.194
- 13. Khan J, Majid A, Nisar M, Hazrat A, Nazir N, Zahoor M, et al. Genetic diversity of Alnus nitida reported from Dir Lower, Khyber Pakhtunkhwa, Pakistan. Sarhad J Agric. 2022;38:489–96. https://doi.org/10.17582/journal.sja/2022/38.2.489.496
- 14. Rather SA, Qaisar KN, Banyal R, Nabi S. Effect of maturity stage and size of trees on fodder proximate principles in elm (Ulmus wallichiana Planch). Int J Curr Microbiol Appl Sci. 2017;6:329–34. https://doi.org/10.20546/ijcmas.2017.611.037
- 15. Sankhyan HP, Bhagta S. Fodder quality analysis of open pollinated seedling seed orchard of Grewia optiva Drummond. Bioscan. 2016;11:709–13.
- 16. Yadav N, Singh B, Khanduri VP. Seasonal variation in nutrient composition in the leaves of two Bauhinia species. Folia Forest Polonica. 2023;65:173–8. https://doi.org/10.2478/ffp-2023-0017
- 17. Hammer O, Harper D, Ryan P. PAST: paleontological statistics software package for education and data analysis. Palaeontol Electron. 2001;4:1–9.
- 18. Ward JH Jr. Hierarchical grouping to optimize an objective function. J Am Stat Assoc. 1963;58:236–44. https://doi.org/10.1080/01621459.1963.10500845
- 19. Panse VG, Sukhatme PV. Statistical methods for agricultural workers. New Delhi: ICAR; 1978.
- 20. SPSS. Statistical programme for social sciences. SPSS for Windows. SPSS Inc.; 2006.
- 21. AOAC. Official methods of analysis of AOAC International. Vol. 1. 26th ed. Washington, DC: Association of Official Analytical Chemists; 1995. p. 4.1–4.20.
- 22. Sankaram A. A laboratory manual of agricultural chemistry. Madras: Asia Publishing House; 1966. p. 252–63.
- 23. Thangjam U, Sahoo UK, Thong P. Characterization of morphometric, reproductive and seedling traits of Parkia timoriana in northeast India. Silva Fenn. 2020;54:1–16. https://doi.org/10.14214/sf.10163
- 24. Yadav VK, Sharma SK, Rao VK, Yadav R, Radhakrishna A. Assessment of morphological and biochemical diversity in seabuckthorn (Hippophae salicifolia D. Don) populations of Indian central Himalaya. Proc Natl Acad Sci India Sect B Biol Sci. 2014;86:351–7. https://doi.org/10.1007/s40011-014-0449-x
- 25. Sharma A, Thakur V, Attri V. Assessment of fodder potential of Grewia optiva Drummond ex Burret in northern Himalaya: a comprehensive review. AATCC Rev. 2025:341–8. https://doi.org/10.21276/AATCCReview.2025.13.04.341
- 26. Sankhyan HP, Thakur S, Kumar S, Karishma, Prachi. Analysis of qualitative characteristics among and between populations of Grewia optiva Drummond (Beul). Int J Fauna Biol Stud. 2021;8:76–82. https://doi.org/10.22271/23940522.2021.v8.i1b.795
- 27. Mariappan N, Sankhyan HP, Gurunathan N. Fodder quality variation in Grewia laevigata Vahl. in Himachal Pradesh. Indian J Agrofor. 2020;12.
- 28. Bajpai PK, Warghat AR, Yadav A, Kant A, Srivastava RB, Stobdan T. High phenotypic variation in Morus alba L. along an altitudinal gradient in the Indian Trans-Himalaya. J Mt Sci. 2015;12. https://doi.org/10.1007/s11629-013-2875-2
- 29. Paray PA, Gangoo SA, Parrey AA, Bhat A, Bhat SJA. Principal component analysis of white willow (Salix alba) germplasm. Plant Arch. 2017;17:401–6.
- 30. Thakur S, Thakur IK. Principal component analysis of growth and biomass characteristics for different progenies of Ulmus villosa Brandis. Indian J Plant Genet Resour. 2016;29:71–4. https://doi.org/10.5958/0976-1926.2016.00012.7
- 31. Raphael RH, Martha HR, Rosy CMG, Mayra DR, Judith JG, Erika LEB, et al. Morphological characterization of Moringa oleifera seeds from different crops of Mexico. 2021. https://doi.org/10.32854/agrop.v14i11.2175
- 32. Haq ZU, Khan SM, Ahmad Z, Abdullah SSA, Mustafa G, Razzaq A, et al. An evaluation of conservation status and ecological zonation of Alnus nitida, a monophyletic species of the Sino-Japanese region. J Anim Plant Sci. 2020;30:2309–8694. https://doi.org/10.36899/JAPS.2020.5.0140
- 33. Leempoel K, Parisod C, Geiser C, Dapra L, Vittoz P, Joost S. Multiscale landscape genomic models to detect signatures of selection in the alpine plant Biscutella laevigata. Ecol Evol. 2018;8:1794–806. https://doi.org/10.1002/ece3.3778
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