Wheat is one of the major food crops in China. During the long-term cultivation and cultivation, people gradually discovered that one of the important phenotypes of wheat growth status is wheat flag leaf. For the flag leaf of wheat, people have studied the chlorophyll content, the photosynthetic rate of the flag leaf, and so on in relation to fertilizer management and yield. However, it is worth noting that the geometric parameters of one of the important contents of wheat flag leaf phenotype are also very important, so the rapid test of wheat flag leaf geometry phenotype is of great significance for effective agricultural measures. The determination of leaf area can now be carried out without loss of crop plants. The live leaf area meter is an instrument worth recommending.
Traditional leaf area test methods include weighing method, grid method, etc., but they are time-consuming and laborious, and it is difficult to meet the requirements of large batches of rapid test in the field. The currently available rapid test methods for geometric phenotypes of crop plants mainly include digital image processing methods and living leaf area analyzer test methods. In practical application, the living leaf area meter is still in the stage of development and exploration. Its practical test in production and scientific research is not much, especially in the application of wheat crops. Therefore, this study explored the test methods for wheat zygosity and phenotypic phenotypes from digital image processing methods in order to establish the relationship between wheat flag leaf geometry phenotype and nitrogen fertilizer management.
There are many ways to rapidly test the leaf area of ​​plants. The live leaf area meter is a commonly used rapid test instrument. However, due to the inherent hardware design problems of the instrument, the scale limitation of the laser probe makes it more suitable for large-scale and handle leaf crops. Applicable, such as corn, soybeans, grapes and other crops research, but for the use of small crops such as wheat crops and sessile crops on the use of more difficult, so people are still using the method of scanning the scan of the wheat leaves to measure the leaves area. The test found that the digital image test technology using a thin and light background plate not only overcomes the defect of the laser leaf area meter, but also can use a small-scale background plate according to the crop leaf area, so that the field test is flexible and convenient. During the field trial, it was found that the living leaf area meter must take into account the adaptability to the leaf area measurement of small leaf crops and sessile leaf crops, and the thickness of the scanning and clamping and scanning components should be sufficiently reduced to meet the requirements of field non-destructive testing.
The determination of the wheat flag leaf geometry phenotype by the living leaf area analyzer combined with the analysis of the results of the fertilizer treatment found that the fertilizer treatment has a significant impact on the wheat flag leaf geometry phenotype. Therefore, the significant feature of the fertilizer supply in the early identification period is The important role of wheat flag leaf geometry phenotype. Since wheat flag leaf geometric phenotype is a nodal state indicator of wheat physiological process, establishing the relationship between the state of the time node of wheat flag leaf geometric phenotypic parameters and the growth process of its early and late stages is an important part of the dynamic management of wheat fields.
Traditional leaf area test methods include weighing method, grid method, etc., but they are time-consuming and laborious, and it is difficult to meet the requirements of large batches of rapid test in the field. The currently available rapid test methods for geometric phenotypes of crop plants mainly include digital image processing methods and living leaf area analyzer test methods. In practical application, the living leaf area meter is still in the stage of development and exploration. Its practical test in production and scientific research is not much, especially in the application of wheat crops. Therefore, this study explored the test methods for wheat zygosity and phenotypic phenotypes from digital image processing methods in order to establish the relationship between wheat flag leaf geometry phenotype and nitrogen fertilizer management.
There are many ways to rapidly test the leaf area of ​​plants. The live leaf area meter is a commonly used rapid test instrument. However, due to the inherent hardware design problems of the instrument, the scale limitation of the laser probe makes it more suitable for large-scale and handle leaf crops. Applicable, such as corn, soybeans, grapes and other crops research, but for the use of small crops such as wheat crops and sessile crops on the use of more difficult, so people are still using the method of scanning the scan of the wheat leaves to measure the leaves area. The test found that the digital image test technology using a thin and light background plate not only overcomes the defect of the laser leaf area meter, but also can use a small-scale background plate according to the crop leaf area, so that the field test is flexible and convenient. During the field trial, it was found that the living leaf area meter must take into account the adaptability to the leaf area measurement of small leaf crops and sessile leaf crops, and the thickness of the scanning and clamping and scanning components should be sufficiently reduced to meet the requirements of field non-destructive testing.
The determination of the wheat flag leaf geometry phenotype by the living leaf area analyzer combined with the analysis of the results of the fertilizer treatment found that the fertilizer treatment has a significant impact on the wheat flag leaf geometry phenotype. Therefore, the significant feature of the fertilizer supply in the early identification period is The important role of wheat flag leaf geometry phenotype. Since wheat flag leaf geometric phenotype is a nodal state indicator of wheat physiological process, establishing the relationship between the state of the time node of wheat flag leaf geometric phenotypic parameters and the growth process of its early and late stages is an important part of the dynamic management of wheat fields.