Browsing by Author "Chenchu Subbaiah, C."

Now showing 1 - 5 of 5
  • Thumbnail Image
    Item
    Comparative physiology of sun and shade leaves of cashew
    (2007-02-08) Chenchu Subbaiah, C.
    Leaves well exposed to sunlight showed greater specific leaf weight (SLW), nitrate reductase activity (NRA), and content of total phenols than shaded leaves in cashew (Anacardium occidentale L.) Though the shade leaves had more chlorophyll with a lower chlorophyll a/b ratio which might compensate for the limiting sunlight, the-adaptation was not maximal as their surface areas were similar to those of son leaves.
  • Thumbnail Image
    Item
  • Thumbnail Image
    Item
    Epicuticular waxes of arecanut leaf
    (2007-02-08) Chenchu Subbaiah, C.
    The epicuticular waxes of arecanut (Areca catechu L) leaf contains mainly hydrocarbons, /3 -diketones, esters and fatty acids in that order. The first two compounds are known to offer crystalline properties to the wax and water repellent behaviour to the leaf surface. The influence of leaf waxes on foliar uptake of nutrients and chemicals would be discussed in relation to the induction of nitrate reductase activity in arecanut leaf.
  • Thumbnail Image
    Item
    Leaf characteristics in cocoa (Theobroma cacao L.) Accesssions
    (1985) Balasimha, D.; Subramonian, N.; Chenchu Subbaiah, C.
  • Thumbnail Image
    Item
    A Rapid Non-Destructive Method of Estimating Leaf Area in Cashew
    (2007-02) Murthy, K.N.; Vijayakumar, K.; Bhagavan, S.; Chenchu Subbaiah, C.; Kumaran, P.M.
    A rapid non-destructive method to estimate leaf area in cashew is proposed based on linear measurements of leaf. The exponential model involving maximum length and maximum breadth gave the best prediction equation A = (0.8356) L°.848 B1.08 with R2 as high as 98.92 per cent. Since this model involved cumbersome computation it is preferable to use a linear model A = 0.21 + 0.69 P where P is the product of length and breadth of leaf. This model also has sufficiently high predictability (R2 = 96.81%). Rapidity of this method can be further expedited without loss of predictability (R2 = 89.62%) by taking the linear model A= -44.28 + 14.32 B where breadth alone is taken into consideration in estimating the leaf area.