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Solan, India

Kumar P.,Dr YSP UHF Regional Horticultural Research and Training Station | Sharma S.D.,NERI Inc | Sharma N.C.,Nauni | Devi M.,Nauni
Scientia Horticulturae | Year: 2015

This study aimed to understand the relationship for productivity related traits using correlations and path coefficient analysis of 'Dashehari' mango under rainfed agro-climatic zone conditions of north-west Himalayas of India. The study also identifies the relationship among agronomic and yield-related characteristics to know the direct and indirect effect of independent variables on managerial ability of the crop. Correlation and path coefficient analyses were carried out over two consecutive years (2004, 2005) seasons for plant growth (tree trunk), leaf nutrient concentration, and fruit yield across four districts of Himachal Pradesh. Based on yield performance, an optimum sample size of 20 trees from each orchard comprised of 10 trees each of two categories: high productive (>90kgtree-1) and low productive (<90kgtree-1) were selected using the probability proportional to size multistage sampling scheme. Both high as well as low productive orchards were analyzed for soil and leaf chemical properties. Simple linear correlation and path coefficient analyses were 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 and fruit yield was studied. In high productive trees, path model showed that leaf N, Mg, Fe, Cu and Mn concentrations recorded the high magnitude of direct effect on fruit yield. However, leaf N concentration had a strong positive indirect effect through leaf Zn. Leaf Cu and Zn concentrations had a positive indirect effect through leaf Mg and leaf Zn on fruit yield. In low productive trees, leaf N concentration had a strong positive direct effect and a strong positive indirect effect via leaf Zn on fruit yield. Similarly, the direct effect of tree volume on fruit yield was positive, while, the maximum positive indirect effect was through leaf K. A residual value of 0.7308 and 0.7292 indicates the collective influence of the variables was to the magnitude of 0.2692 and 0.2708 to the extent of 26.9 and 27.1% toward fruit yield, and contributed 40.7 and 14.7% toward tree volume in high and low productive mango trees, respectively. The collective influence of the variables included on tree volume to the magnitude of 0.8521 and concluded that leaf nutrient content has been contributed to the extent of 14.7% toward tree volume. © 2015 Elsevier B.V.

Sharma S.D.,NERI Inc | Kumar P.,Dr YSP UHF Regional Horticultural Research and oTraining Station | Bhardwaj S.K.,Nauni | Chandel A.,Nauni
Scientia Horticulturae | Year: 2015

The research has been focused for the systematic examination and assessment of cropping behavior, soil productivity and the promotion of soil biodiversity in pomegranate based multiple crop sequencing. The study also sought to monitor the agronomic performance, nutrient availability and microbial communities' in the rhizosphere. The potential of five crop sequencing systems comprised 'Pomegranate-Urd-Garlic' (P-U-G), 'Pomegranate-Urd-Pea' (P-U-P), 'Pomegranate-Turmeric' (P-T), 'Pomegranate-Broccoli' (P-B) and 'Pomegranate monoculture' (Pmono) under rainfed ecosystem has been demonstrated. After intercrop sequencing cycles, the essential relevant elements significantly improved growth attributes, physical, chemical and biological attributes of the rhizosphere soil compared to monoculture cropping practice. Maximum moisture content at field capacity (McFc, 24.9%), water holding capacity (WHC, 33.3%) and soil organic carbon (OC, 7.16gkg-1) was recorded in P-U-P intercrop sequencing. This superior sequencing also recorded the available macronutrient contents (N, P, K), exchangeable Ca and Mg of soil which were increased by 8.15%, 36.9%, 8.6%, 31.5% and 22%, respectively over Pmono. Diethylenetriaminepentaacetic acid (DTPA)-extractable micronutrient cations (Fe, Cu, Zn, Mn) improved by 15.6%, 23.2%, 28.7% and 16.5%, respectively. Microbial biomass carbon (MBC), microbial biomass nitrogen (MBN), and the plate count (colony-forming units, CFUs) of Bacillusspecies, Pseudomonasspecies, total soil fungi, Azotobacter chroococcumand actinobacteria exhibited significant variability. MBC and MBN ranged from 172.3 to 255.9mgkg-1 and 12.1 to 17.2mgkg-1, respectively. Microbial biomass of Pseudomonas species (116.5%), Bacillusspecies (80.5%), total soil fungi (204.4%), A. chroococcum(219.6%) and actinobacteria (205.6%) improved significantly over Pmono. Correlation analysis of different attributes representing the chemical and biological properties of soil also resulted in a significant association at P<0.05 attribute pairs. Principal component analysis (PCA) of soil quality attributes was also worked out to evaluate the differences induced among intercrop sequencing systems. The results inferred that PC4 accounted for 100% of the total variance in all intercrop sequencing. Therefore, no correlation was observed between the soil properties, and the first, second and third PC (PC1, PC2, and PC3). It is expedient from the studies that the intercrop sequence systems have effects on soil fertility indicators and has the implications for agricultural productivity. © 2015 Elsevier B.V..

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