Stem lettuce is widely cultivated in China and is an important vegetable crop. Although there are many different varieties of stem lettuce cultivated in China, they can be divided into two types: long leaf type and oval leaf type according to their leaf types. The leaves are important organs for photosynthesis and transpiration of plants. Therefore, the determination of leaf area is extremely important in the study of plant growth physiology and agrobiology. The leaf area is also related to the indicators of various plant growth. These indicators are often used in plant growth analysis. The leaf area meter is an important instrument for measuring the leaf area, and is widely concerned with the continuous deepening of scientific research and technology.
The direct method for determining the leaf area is limited to the application of leaf area meters. However, for an investigator who does not have a leaf area meter, the use of non-destructive methods to determine the leaf area involves determining the blade geometry. The most commonly used non-destructive method or indirect method is to estimate the leaf area by measuring the shape of the blade and using the relevant linear relationship mathematics. In recent years, using mathematical models to predict leaf area has become a very common method. This method needs to measure the length, width, blade weight and area of ​​a set of sample leaves to calculate some correlations related to leaf index. Factor to estimate the leaf area of ​​other samples. However, the right choice of the right independent variable and sampling period is the most basic for predicting plant leaf area with regression analysis. Although estimates have been made of leaf area estimates for vegetable crops such as watermelons, squash, onions, peppers, cucumbers, and soybeans, estimates of leaf area for stem lettuce have not yet been reported.
Both strains were most accurate with the regression equation sampling at the 16th week to analyze the leaf area, which further indicated that if the leaf area equation obtained by sampling in a single period is used to estimate the leaf area at different growth periods is insufficient or not stringent. The results obtained from this experiment analyze the functional relationship between leaf area and different variables in detail from different growth stages, which is conducive to the selection of a corresponding calculation formula for a specific stage in practical application. Estimating leaf area using linear regression is reliable and non-destructive. Although the leaf area can currently be determined using a leaf area meter, its determination still largely destroys the normal growth process of the plant.
The direct method for determining the leaf area is limited to the application of leaf area meters. However, for an investigator who does not have a leaf area meter, the use of non-destructive methods to determine the leaf area involves determining the blade geometry. The most commonly used non-destructive method or indirect method is to estimate the leaf area by measuring the shape of the blade and using the relevant linear relationship mathematics. In recent years, using mathematical models to predict leaf area has become a very common method. This method needs to measure the length, width, blade weight and area of ​​a set of sample leaves to calculate some correlations related to leaf index. Factor to estimate the leaf area of ​​other samples. However, the right choice of the right independent variable and sampling period is the most basic for predicting plant leaf area with regression analysis. Although estimates have been made of leaf area estimates for vegetable crops such as watermelons, squash, onions, peppers, cucumbers, and soybeans, estimates of leaf area for stem lettuce have not yet been reported.
Both strains were most accurate with the regression equation sampling at the 16th week to analyze the leaf area, which further indicated that if the leaf area equation obtained by sampling in a single period is used to estimate the leaf area at different growth periods is insufficient or not stringent. The results obtained from this experiment analyze the functional relationship between leaf area and different variables in detail from different growth stages, which is conducive to the selection of a corresponding calculation formula for a specific stage in practical application. Estimating leaf area using linear regression is reliable and non-destructive. Although the leaf area can currently be determined using a leaf area meter, its determination still largely destroys the normal growth process of the plant.
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