Leaf Area Index

The data showed that application of B had no significant influence on plant height, branches No. plant-1, and leaf area index (LAI) of broad bean plants. While, the boron had a significant effect on the number of leaves plant-1 of broad bean plants. The results appeared that spraying of B on broad bean plants resulted in a decrease in the number of leaves per plant,

is an important part of both terrestrial and aquatic ecosystems. In a forest system both the canopy and the understory absorb light. The type of forest and leaf cover present determines the amount of light that reaches the understory. This can be measured using the LAI (Leaf Area Index), which is the amount of leaves per unit ground area. Light quantity in forests is affected by several factors such as tree species, age, and density. Looking at the amount of light that can penetrate to the understory

for sun leaves. Each leaf was measured for its surface area, length-to-width ratio, mass, specific leaf mass, and color. Surface area was measured by a leaf area meter in squared centimeters. Length-to-width ratio was measured by measuring the length (vertically along the bridge of the leaf) and the width (horizontally on the widest part of the leaf) with a ruler in centimeters, and dividing the length by the width. Mass was calculated by a balance in grams. Specific leaf mass (thickness) was measured

habitat/area to a bare rock surface that is a very dry habitat. Due to such observations for the distribution of this species a question is imposed in this paper as to how do traits vary along environmental gradients? Two phenotypic traits/characteristics are investigated, Specific Leaf Area (SLA) and wood-density. SLA was calculated by adding the total sum of all the leaf area per individual and dividing that with the total sum of all the leaf dry mass per individual. SLA = Total leaf area/ Dry leaf

necessarily the level of water deficit stress that is actually experienced by the plants (Sinclair and Ludlow, 1985). An assessment of leaf water content, on the other hand, may yield more detailed insight into the plant’s actual physiological response to a certain degree of low soil moisture content, and how water deficit stress is in fact experienced by the plant. Leaf water content is a key indicator of plant health, vigor and photosynthetic efficiency (Harry, 2006). Accurate retrieval of plant water

Conventional methods of estimating leaf water content in the field are time consuming and location specific. Remote sensing is an effective alternative to field sampling for the retrieval of leaf water content, being non-destructive and providing continuous spatial coverage of a large area (Sepulcre-Cantó et al., 2006; Ullah et al., 2012c). Plant water status can be assessed remotely by measuring canopy reflectance

The influence of allochthonous deciduous and coniferous leaf material on macro-invertebrate taxa richness in the Woods Creek River Jonathan Chu Help Received: None 20150501   Introduction The purpose of this experiment was to improve our scientific literacy by studying the factors that shape biological communities. Packs of coniferous and deciduous leaves were placed in the Woods Creek River at the Virginia Military Institute to discover how aquatic macro-invertebrate communities are influenced

Introduction Arid and semiarid regions are seriously lacking in fresh water. Water shortages in these regions have become the basic norm rather than the exception. Most importantly, the situation of water shortage is growing worse due to abrupt climatic changes and continuous population growth. All of these factors will decrease the amount of water allocated to the agricultural sector, which consumes about 75% of the available water supply. Therefore, as the water supply for agronomic purposes becomes

Abstract In our Berlese Funnel lab we sampled two different types of forest, deciduous and coniferous, both on our school campus. We set up multiple funnels in our classrooms with heat directly above them. After collecting leaf litter from our designated forest we placed them in a funnels above beakers of alcohol. We let them sit for two nights in a row and while in class checked for different organisms under microscopes. We calculated the different amount of species and how many there were of each

winter wheat and spring wheat. a.) Quantify weed suppressive ability under organic field conditions; b.) Quantify crop tolerance of weed pressure in field conditions; c.) Determine which crop characteristics (emergence timing, leaf blade width, tillering, leaf area index, height, growth rate) are most highly correlated with crop weed suppressive ability and weed tolerance (Drs. Carr, Gramig, Menalled, and Sexton); d.) Evaluate two biological control agents (Ballad Plus and Kodiak Concentrate OMRI-approved