Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Titre : Modeling of Early Growth of Agro-Forestry Tree Species in Semi-Arid Region of Karnataka

Auteur : Naveenkumar G.M.

Université de soutenance : University of Agricultural Sciences, Dharwad

Grade : Master of Science (MS) 2010

Résumé
The study conducted at Regional Agricultural Research Station Bijapur farm of University of Agricultural Sciences, Dharwad, Karnataka. Twenty four tree species were considered for the study and each tree species was taken as a treatment with two replications, planted at 7 m x 7 m spacing. The observations were taken on diameter (cm) and height (m) at one year interval (1990-2000). The superior performance of height was observed in case of Eucalyptus citridara planted in RARS, Bijapur, height of 9.195 m, followed by Leucana leucachepala and Eucalyptus citriodara. Lower performance was observed in Delonix regia. In diameter maximum performance was noticed in Prosospsis juliflora (9.13 cm), followed by Albizzia lebbeck and Eucalyptus hybrid. Lower performance was observed in Syzygium cumini. In case of CAI, T14 showed Maximum increment with (53900 cm3), followed by T4 (45700 cm3), T15 (45200 cm3), and T11 showed least increment (5750 cm3). In MAI T14 showed maximum increment with (21000 cm3) followed by T4 (17000 cm3), T5 (16000 cm3), T12 showed least increment with (1830 cm3). In case of volume estimation T4 showed maximum Volume with (56784 cm3), followed by T14 (52584 cm3), T5 (41035 cm3), and T12 showed volume least (5341 cm3). In height and age relationship different growth functions were tested in that different models were fitted for different tree species. Out of 24 species Gompertz model fitted well for 12 species, Weibull model better fitted for 8 species with highest R2 and lesser standard error. In diameter and age relationship different growth functions were tested in that different models were fitted for different tree species. Out of 24 species Gompertz model fitted well for 18 species Exponential model showed better for 2 species with highest R2 and lesser standard error.

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