Sampling method for improving representativeness of core germplasm of plant genetic resources
A core germplasm and resource technology, applied in the field of germplasm resource research, can solve the problem that there is no one recognized core germplasm, and achieve the effect of improving the operation speed
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Embodiment 1
[0022] There are 190 samples of genetic resources in the northern spring soybean landrace population, including nine quantitative trait data including growth days, plant height, crude protein, crude fat, stearic acid, palmitic acid, oleic acid, linoleic acid and linolenic acid ( http: / / icgr.caas.net.cn / ), in the "germplasm data query" module, select "soybean", and then specify the query conditions to get the required data), summarized in Table 1. The total number of samples is 190. According to the existing funds and actual needs, the core germplasm sampling ratio is set at 20%. The commonly used Z-score standardization method was used to standardize the data of all 190 samples of 9 quantitative traits in the original population, excluding the influence of dimension. According to the standardized original population data, the genetic distance between each sample was calculated using the commonly used Euclidean distance method. Sort all the genetic distances in descending orde...
Embodiment 2
[0029] There are 138 genetic resources samples of Yunnan maize landrace groups, including 10 quantities of plant height, ear height, number of main stem leaves, growth days, ear length, ear diameter, thousand-grain weight, crude fat, crude protein and crude total starch Trait data (http: / / icgr.caas.net.cn / ), in the "germplasm data query" module, select "corn", and then specify the query conditions to get the required data), summarized in Table 2. The total number of samples is 138. According to the existing funds and actual needs, the sampling ratio of core germplasm is set at 25%. The commonly used Z-score standardization method was used to standardize the data of all 138 samples of 10 quantitative traits in the original population, and the influence of dimension was excluded. According to the standardized original population data, the genetic distance between each sample was calculated using the commonly used Euclidean distance method. Sort all the genetic distances in desc...
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