Responsible for the Reception and Absorption of Light for Photosynthesis

Responsible for the Reception and Absorption of Light for Photosynthesis
Of the many quantitative variables in the model, only a few are selected. Variables that are feasible to be selected are variables that have a strong determination and relationship to plant phenotypes. In building a model on multiple regression, we can choose several important variables based on the coefficient of determination and correlation coefficient (CoHort Software, 1998). The greater the magnitude of the coefficient of determination and correlation of a variable, the stronger the predictive power of these factors on the phenotype (number and quality) of plants.
Therefore, such factors are best used as predictors.
The problem is, how do we know which variables have strong predictive power. Scientifically, there is no other way than by empirical means, namely conducting research through experiments. If so, the answer cannot be now because it takes a long time to do the experiment. But deductively, we can choose several predictor variables using a theoretical approach or laws that have been developed by plant physiologists. According to Leibig’s from Studies Natural of Science Research (on Mackenzyw Journal Reviews), the growth of a species depends on the most critical environmental factors.
Its understanding, growth and also results in both quantity and quality are limited by the most critical environmental factors.
For example, genetic factors are good, nutrients are sufficient, but water is not present, so water is a critical factor. Therefore, the appearance of a plant depends on the non-existent water, yes its growth is miserable or even does not grow at all.
If we look deeply, of the many factors that exist in the model, then maybe there are only 2 variables that are the most critical factors, namely sunlight and temperature. Why is that, because both of these variables have very far sources and are not affordable by humans. In other words, the two variables are not manageable. That is, even though we want to, because the source is not affordable to us, we cannot directly manipulate it to the level we want. Otherwise the other variable is manageable. Understanding, if we want we can provide these factors to the optimum level.
Thus there are actually only 2 variables that are worthy of inclusion in the model, namely sunlight and temperature. These two variables are often used to predict the growth and quality of a plant. Temperature was used to predict the flowering time and harvest time. According to Syakur et al. (2011), physiological flowering and cooking of tomato plants can be predicted using microclimate data (including temperature) and growth parameter data.
MacKenzie and Chandler (2009) also used temperature to predict crop yields and he found that there was a real relationship between temperature trends and the number of flowers and yield of strawberry plants.
Unlike the temperature, the sunlight is more difficult to manipulate. Even though the source is far away, the temperature is still possible to be manipulated directly. People can increase the temperature and also can reduce the temperature to a level that is not too difficult. In Europe, people build greenhouses to increase temperatures so they can plant. In the Middle East people can also grow crops by building refrigerated planting houses.
However, sunlight is difficult to manipulate directly.
The sun’s light can be reduced in various ways. People can make a barrier, make the roof half transparent and the like to reduce the intensity of sunlight. However, people can not (very difficult and costly) to increase the intensity of sunlight. Thus, sunlight is the most critical factor. Therefore, in essence the appearance of plants is limited by sunlight. Gardner et al. (1985) states that the amount of light received by the earth is constant.
For plants sunlight is a very important element. The process of photosynthesis which is a metabolic reaction of carbohydrate formation depends entirely on sunlight.
Without sunlight, the process of photosynthesis will not take place. Salisbury and Ross (1992) state that bright reactions from photosynthesis will not take place without the presence of light. Because the sun’s light used for photosynthesis is mostly received and absorbed by the leaves of plants, the leaves and the state of the leaves of plants become a very determining factor on the amount of light received and absorbed by plants.
The number and state of leaves varies from one plant to another. There are plants that have lots of leaves and are healthy, but there are also plants that have few leaves and are diseased. There are also plants that have leaf conditions between these two extremes.
Newly grown plants have fewer leaves than mature plants. Mature plants have more leaves than new plants. Leaves and plant leaf conditions differ for each individual to form a variable.
As an important organ, leaves are responsible for the reception and absorption of light for photosynthesis. So on, the more active photosynthetic activity, the higher the photosynthate formed.
Carbohydrate photosynthesis determines the growth, yield, and quality of a plant’s products. Thus, logically, the leaves and the state of the leaves really determine the amount and quality of a plant, so it makes sense if we use the leaf variable as an indicator to estimate the amount and quality that can be taken from a plant. The more the number of leaves or the wider the amount of surface to the entire canopy of plant leaves to a certain extent, the higher the number and quality that can be taken from a plant. Conversely the less leaf surface area, the lower the amount and quality that can be taken from a plant. Jebbouj (2009) found that barley yields decreased significantly due to loss of three upper leaves.