
Article Fingerprint
ReserarchID
6V0NP
Choose where you want to hide AI Takeaway. Your site-wide choice will be remembered in this browser.
Among 24 tree species tested for height and age relationship under agroforestry systems of northern dry zone of Karnataka, Gompertz model fitted well for 9 species, Weibull model for 7 species, Exponential model found well suited for 5 species and Richards model for 3 species respectively. Among the different models tried in predicting height growth for 24 different species Gompertz was found better for Acacia auriculiformis (R 2 = 0.9974), Acacia nilotica (R 2 = 0.9981), Bahunia purpurea (R 2 = 0.9971), Butea monosperma (R 2 = 0.9992), Casuarina equsitifolia (R 2 = 0.9914), Cassia siamea (R 2 = 0.9986), Inga dulce (R 2 = 0.9968), Samanea saman (R 2 = 0.9995), and Tamarindus indica (R 2 = 0.9976). Hence, Gompertz model can be best adopted while predicting height growth of native species grown under dry land situation.
Dr. S. B. Devaranavadgi. 1970. "Height-Age Growth Curve Modelling for Different Tree Species in Drylands of North Karnataka". Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 13 (GJSFR Volume 13 Issue D1).
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
v1.2
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 156
Country: India
Subject: Global Journal of Science Frontier Research
Authors: Dr. S. B. Devaranavadgi, Sharan bassappa, Jolli, R.B, S.Y. Wali, Bagali, A.N (PhD/Dr. count: 1)
View Count (all-time): 178
Total Views (Real + Logic): 5885
Total Downloads (simulated): 259
Publish Date: 2013 01, Tue
Monthly Totals (Real + Logic):
We use cookies and similar technologies to improve site performance, understand traffic, and enhance your publishing experience. Cookie Policy
Choose which optional cookies Global Journals can use. Your preference applies across this platform and can be updated any time.
These cookies are required for core website functionality and security.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.