Correlation and Regression Studies in Mango (Mangifera Indica L.)
Kumar, P.; Sharma, S.D.; Yadav, S.K.
Journal of Plant Nutrition 36(6): 929-947
2013
ISSN/ISBN: 0190-4167
DOI: 10.1080/01904167.2012.759971
Accession: 066271269
The present investigation was carried out during 20042006 on 15-year-old Dashehari' mango (Mangifera indica L.) trees to establish a relationship between growth, leaf nutrient content, fruit yield, and quality attributes. Four districts of Himachal Pradesh namely, Kangra, Una, Hamirpur and Bilaspur were selected according to multistage sampling scheme. Based on yield performance, an optimum sample size of 20 trees from each orchard was comprised of 10 trees of two categories: high productivity (>90kg tree1) and low productivity (<90kg tree1) were selected using the probability proportional to size sampling scheme. Both high as well as low productive orchards were analyzed for soil and leaf chemical properties. Simple linear correlation and multiple regression analyses were also worked out between all possible combinations. The contribution of leaf nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), zinc (Zn), copper (Cu), manganese (Mn), and iron (Fe) on growth, fruit yield and physical-biochemical quality characteristics by fitting step-wise regression analysis was studied. Multiple regression analyses indicated variability in fruit yield due to leaf nutrient contents and tree volume to the extent of 6673% and 3568% in high and low productive orchards, respectively.