Bita Oskouei; Leila Sadeghi; Kobra Moslemkhani; Hadis Afshar; Zahra Radmanesh
Abstract
Genetic purity, as one of the important characteristics of the quality of seed lots, has been considered in the national standards of certified seed producing countries to achieve desirable and stable characteristics of agricultural cultivars. According to the national standard, determining the other ...
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Genetic purity, as one of the important characteristics of the quality of seed lots, has been considered in the national standards of certified seed producing countries to achieve desirable and stable characteristics of agricultural cultivars. According to the national standard, determining the other speciese in the seed sample is considered as one of the important tests of seed quality. This feature is checked with an emphasis on recognizable characteristics in the seed analysis laboratory. The research has investigated the characteristics and differences in appearance and genetics of seeds off- type of chickpea seeds. The results showed that the seeds that were considered as off- type morphologically differed from the control in at least one of the measured traits. These seeds were different from the original seed in terms of color, shape seed surface roughness and seed groove, also the selected indices were similar in the first and second generation seeds. The results of the molecular test also confirmed the results of the morphological investigations. In Adel, Mansour, Arman cultivars, the samples that in morphological studies were considered as off-type, in molecular studies using microsatellite markers H3F09, H3C11 and H1A06 showed that the molecular profile was not uniform and allele diversity was greater than the main allele of cultivars. In the process of seed certification program, microsatellite markers are a suitable and complementary tool to the use of morphological markers to determine the genetic purity of chickpea seed samples.
K. Moslemkhani; Farshid Hasani; Esmail nasrollahi; Samad Mobasser; Mohammadreza Jazayeri
Abstract
Fast and precise detection of infected potato plants is an essential practice in the seed potato certification system. Spectral fingerprinting as non-destructive and rapid method is going to be developed for discriminating plants with different stress such as disease. In this research virus infections ...
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Fast and precise detection of infected potato plants is an essential practice in the seed potato certification system. Spectral fingerprinting as non-destructive and rapid method is going to be developed for discriminating plants with different stress such as disease. In this research virus infections of experimental plants (that infected with both PVY and PLRV viruses) were analyzed by spectral data without any destruction. Spectral data were collected from 32 plants (16 infected plants and 16 healthy plants) that were found to be infected or healthy using the ELISA and RT-PCR test. Some pretreatment methods of spectral data such as multiplicative scatter correction were used to remove noise. Soft independent modeling of class analogy (SIMCA) based on PCA analysis predicted the disease with high detection accuracy. The results showed, none of the samples belonged to the wrong group or to two groups simultaneously. The wavelengths in three ranges of 910-863 nm (near-infrared ), 725-704 nm (red edge) and 580-530 nm (green), had the greatest contribution to the complete differentiation of infected and healthy plants and development of models respectively.
