Utilization of heterosis to develop hybrid cultivars can significantly increase yield of most crops including foxtail millet. However, previous foxtail millet hybrid cultivars have been largely developed from crosses between sterile lines and conventional varieties or between sterile lines and varieties that are geographically distent from the sterile lines. The research on classification of heterotic classes and determinetaion of heterotic patterns has not been reported, which results in uncertainty in selection of parents for crosses and delays progress in utilization of high yielding hybrids in large-scale commercial production. In this study, a core collection of 128 accessions from China was grouped into six classes using combined analyses of population structure, pedigree, and clustering. The classification was conducted based mainly on molecular clustering of genotypic data, also considered the population structure and mathematical clustering using phenotypic data, and was finally validated through pedigree analysis. According to the transgressive and superstandard heterosis for grain yield, plant height, panicle length, panicle diameter, single panicle weight, grain weight per panicle, and 1000-grain weight collected from an incomplete-diallel-cross experiment, we identified six superior heterosis patterns (C2/C1, C2/C4, C2/C5, C2/C6, C1/C5 and C4/C5) and four inferior heterosis patterns (C1/C3, C1/C4, C1/C6 and C4/C6), and explored their potential applications in millet hybrid breeding. This study laid a foundation for effective use of foxtail millet heterosis in improving millet hybrid yield.
Breeding hybrid cultivars using heterosis has been a critical strategy to increase grain yield in maize (Zea mays L.) [
The degree of heterosis in a hybrid depends on the genetic relationship of its parents. Due to lack of knowledge on heterotic classes and the genetic relationship among these classes, foxtail millet hybrid cultivars have been largely developed by crossing sterile lines to conventional cultivars or sterile lines to cultivars that are geographically distant from the sterile lines [
Foxtail millet is a minor crop. It is mainly cultivated in developing countries such as China and India. Basic research on the heterosis utilization in foxtail millet is far behind other cereal crops. There are only limited studies on classification and utilization of heterotic classes to predict heterotic hybrids in breeding. Study on pedigree evolution of foxtail millet cultivars revealed dynamic changes in pedigrees of mainstay cultivars from the northern China summer millet region released at different historic periods [
DNA marker provides the most accurate method for exploring genetic relationship among genotypes. Markers including amplified fragment length polymorphism, randomly amplified polymorphic DNA and simple sequence repeat (SSR) have been used in many studies on millet genetic diversity [
Studies on heterotic classes and patterns were reported in maize [
Previously, 128 Chinese foxtail millet accessions were analyzed using SSR markers, their molecular clusters and population structure were determined, and their pedigrees were analyzed to confirm the grouping results [
The 128 foxteil millet accessions [
Heterotic classes were definied by combined analyses of molecular clustering, population structure, mathematical clustering and pedigree clustering. If an accession had two highest, but distribute probability difference less than 0.1 between the groups in population structure analysis, the result from NJ clustering analysis was evaluated. If the result was consistent between the two analyses, the accession was kept in the original group as determined by the structure analysis; otherwise, pedigree analysis or mathematical clustering was used to determine its class in the case of accurate pedigree was not available.
After grouping adjustment, we selected 8 representative accessions (sterile lines or restorer lines) from all six newly formed heterotic classes and made 256 incomplete diallel crosses between the lines from different heterotic classes in 2010. In 2011, F1s from all the 256 crosses were evaluated along with their 51 male parents and a control cultivar, Jigu 19, for yield and yield-related traits, including plant height, panicle length, panicle diameter, single panicle weight, panicle grain weight and 1000-grain weight, in an experiment using a lattice square design with fours replications. Transgressive heterosis and superstandard heterosis were calculated for all the traits, and used to determine heterotic patterns. If mean F1s of cross combinations between two heterotic classes had yield transgressive heterosis ≥ 20% and superstandard heterosis ≥ 8%, they were classified as a superior hetrotic patern; if mean F1s of the combinations between two heterotic classes had yield transgressive heterosis between 5% to 20% and superstandard heterosis between 0% to 8%, they were classified as an inferior hetrotic patern based on the following formula:
Based on the marker data, the 128 accessions were previously classified into six branches “B1, B2, B3, B4, B5, B6” based on phylogenetic analysis [
To verify the rationality of the new classification method developed in this study, four accessions (V9, V40, V56, and V98) that were reassigned to different classes were crossed to five accessions that were selected from their coresponding groups and classes before and after they were adjusted. The results showed that the combining abilities for these combinations between individuals within the new classes was lower than that within original groups, indicating the genetic relationship among accessions within the newly formed classes was much closer than among accessions within original groups. This result indicates that the new classification method in this study is more reasonable (
The mean hybrid yield results from incomplete diallel cross experiment showed that the transgressive heterosis and superstandard heterosis were 30.30% and 10.26%, respectively, for the patterns between accessions in C2 and C1, 33.16% and 9.83%, respectively, between C2 and C4, 38.04% and 8.55%, respectively, between C2 and C5, 27.50% and 8.97%, respectively, between C2 and C6, 21.05% and 8.12%, respectively, between C1 and 5, and 24.02% and 8.12%, respectively, between C4 and C5.
Analysis of data for the five yield related traits (single panicle weight, panicle grain weight, panicle length, panicle diameter, and total growth days) collected from the incomplete dialele experiment identified six classes combinations that showed both strong transgressive heterosis and superstandard heterosis, including C2/C1, C2/C4, C2/C5, C2/C6, C1/C5 and C4/C5, thus, were defined as superior heterosis patterns to predict heterotic performance of their hybrids. Similarly, class combinations that have yield transgressive heterosis from 5% to 20% and superstandard heterosis from 0% to 8% is generally considered as an infereior heterotic pattern, and C1/C3, C1/C4, C1/C6 and C4/C6 met the criteria (
Based on the above analysis, C1, C2, C3, C4, C5 and C6 correspond to G1, G2, G3, G4, G5 and G6, respectively, with only adjustment of four lines. Therefore, the genetic distances among the original groups (G1 to G6) basically represents the genetic distances among corresponding newly formed classes (C1 to C6). The genetic distances among the newly formed classes determined by the incomplete diallel cross tests were basically identical to that of Nei’s minimum distances and pairwise Fsts (
Among different traits, heterosis between classes was not significant for 1000-grain weight and plant height
Newly formed class | Accessions | Original group |
---|---|---|
C1 | V91, V48, V29, V27, V76, V84, V80, V86, V34, V100, V44, V52, V125, V35, V47, V127, V70, V17, V115 | G1 |
V25, V77, | G1 | |
V56 | G3 | |
V9 | G4 | |
C2 | V73, V31, V36, V23, V114, V118, V117, V75, V110, V116, V32, V82, V50 | G2 |
C3 | V67, V59, V45, V26, V10, V2, V1, V12, V5, V51, V53, V33, V128, V7, V28, V3, V4, V6, V8, V24,V60, V64, V57, V120, V11, V54, V97, V20, V14, V83, V112, V16, V119, V18, V106, V108, V93, V74, V79 | G3 |
V90 | G3 | |
C4 | V88, V102, V13, V104, V89, V96, V87, V113, V109, V122, V61, V15, V111 | G4 |
V98 | G5 | |
C5 | V71, V101, V37, V81, V103, V58, V126, V92, V55 | G5 |
C6 | V99, V85, V43, V30, V38, V62, V94, V105, V107, V78, V72, V121, V69, V22, V63, V66, V19, V21, V124, V68, V95, V65, V41, V46, V49, V39, V42, V123 | G6 |
V40 | G5 |
Accessions | Original group (G)/newly formed class (C) | General combining ability (kg/4.5m2) |
---|---|---|
V9 | G4 | 2.34 |
C1 | 2.13 | |
V40 | G5 | 2.18 |
C6 | 2.09 | |
V56 | G3 | 2.29 |
C1 | 2.15 | |
V98 | G5 | 2.56 |
C4 | 2.01 |
Patterns | Transgressive heterosis (%) | Superstandard heterosis (%) | Type of pattern |
---|---|---|---|
C1, C2 | 30.30 | 10.26 | Superior heterotic pattern |
C2, C4 | 33.16 | 9.83 | |
C2, C5 | 38.04 | 8.55 | |
C2, C6 | 27.50 | 8.97 | |
C1, C5 | 21.05 | 8.12 | |
C4, C5 | 24.02 | 8.12 | |
C1, C3 | 14.08 | 0.43 | Inferior heterotic pattern |
C1, C4 | 7.33 | 0.00 | |
C1, C6 | 8.41 | 4.70 | |
C4, C6 | 9.09 | 2.56 | |
C2, C3 | 8.33 | −16.67 | Non-heterotic pattern |
C4, C3 | 0.50 | −14.1 | |
C3, C5 | 4.19 | −15.00 | |
C3, C6 | 5.31 | −6.84 |
(
Patterns | Type of Heterosis | Yield | 1000-grain weight | Single panicle weight | Panicle grain weight | Panicle grain weight/panicale weight (%) | Plant height | Panicle length | Panicle diameter | Type of patterns |
---|---|---|---|---|---|---|---|---|---|---|
C1, C2 | Transgressive (%) | 30.30 | Low parent | 29.24 | 21.40 | −5.95 | Tall parents | 53.2 | 49.54 | Strong heterotic patterns |
Superstandard (%) | 10.26 | 14.85 | 12.57 | −1.25 | 37.52 | 41.06 | ||||
C2, C4 | Transgressive (%) | 33.16 | Low parent | 26.29 | 14.16 | −10.23 | Tall parent | 66.29 | 31.81 | |
Superstandard (%) | 9.83 | 10.46 | 9.08 | −1.25 | 43.22 | 35.90 | ||||
C2, C5 | Transgressive (%) | 38.04 | Mid parents | 32.73 | 29.89 | −2.41 | Short parent | 62.1 | 46.92 | |
Superstandard (%) | 8.55 | 6.47 | 7.05 | 1.25 | 40.09 | 37.84 | ||||
C2, C6 | Transgressive (%) | 27.50 | Mid parents | 32.88 | 39.16 | −1.22 | Short parent | 54.52 | 46.48 | |
Superstandard (%) | 8.97 | 14.53 | 15.33 | 1.25 | 41.32 | 38.96 | ||||
C1, C5 | Transgressive (%) | 21.05 | Higher than both parents | 38.65 | 39.47 | −2.38 | Short parent | 60.62 | 47.19 | |
Superstandard (%) | 8.12 | 8.47 | 10.94 | 2.50 | 41.58 | 38.83 | ||||
C4, C5 | Transgressive (%) | 24.02 | Higher than both parents | 39.14 | 33.20 | −3.57 | Mid-parent | 62.29 | 38.66 | |
Superstandard (%) | 8.12 | 9.28 | 9.70 | 1.25 | 37.15 | 42.96 | ||||
C1, C3 | Transgressive (%) | 14.08 | High parents | 19.97 | 18.30 | −1.20 | Short parent | 31.08 | 22.13 | Heterotic patterns |
Superstandard (%) | 0.43 | 0.05 | 2.03 | 2.50 | 19.05 | 12.57 | ||||
C1, C4 | Transgressive (%) | 7.33 | Higher than both parents | 17.91 | 8.85 | −7.95 | Tall parent | 30.82 | 15.49 | |
Superstandard (%) | 0.00 | 2.81 | 3.95 | 1.25 | 14.92 | 19.65 | ||||
C1, C6 | Transgressive (%) | 8.41 | Higher than both parents | 20.32 | 20.41 | 0.00 | Short parent | 27.46 | 25.37 | |
Superstandard (%) | 4.70 | 1.31 | 3.10 | 2.50 | 18.76 | 19.56 | ||||
C4, C6 | Transgressive (%) | 9.09 | Higher than both parents | 20.09 | 17.79 | −2.38 | Mid-parent | 28.99 | 16.98 | |
Superstandard (%) | 2.56 | 1.49 | 4.11 | 2.50 | 15.51 | 21.82 | ||||
C2, C3 | Transgressive (%) | 8.33 | Lower than both parents | 8.38 | 6.33 | −2.38 | Shorter than both parent | 17.81 | 15.13 | No heterotic patterns |
Superstandard (%) | −16.67 | −7.51 | −5.24 | 2.50 | 4.97 | 5.55 | ||||
C4, C3 | Transgressive (%) | 0.50 | Lower than both parents | 9.15 | 3.56 | −4.71 | Mid-parents | 17.4 | 4.14 | |
Superstandard (%) | −14.10 | −0.02 | −0.05 | 1.25 | 2.36 | 5.13 | ||||
C3, C5 | Transgressive (%) | 4.19 | Lower than both parents | 1.09 | −1.63 | −3.66 | Shorter than both parent | 7.85 | 1.29 | |
Superstandard (%) | −15.00 | −24.34 | −25.31 | −1.25 | −0.06 | −0.07 | ||||
C3, C6 | Transgressive (%) | 5.31 | Lower than both parents | −1.23 | −5.91 | −4.88 | Shorter than both parent | 6.15 | 0.00 | |
Superstandard (%) | −6.84 | −20.28 | −22.89 | −2.50 | −0.02 | −0.08 |
superior heterotic patterns, transgressive heterosis was strong and superstandard heterosis was obvious. In inferior heterotic patterns, transgressive heterosis existed but superstandard heterosis was weak or lacking. In those non-heterotic patterns, transgressive heterosis was weak or lacking, and superstandard heterosis generally showed disadvantages. In these superior heterotic patterns with strong heterosis in yield and yield-related traits, percentage of grain weight over panicale weight usually showed hybrid depression, which suggests that weaker heterosis for percentage of grain weight over panicale weight is associated with higher superior heterotic patterns for yield and yield-related components, thus increasing heterosis for percentage of grain weight over total panicale weight may improve yield potential.
Correlation analysis (
In the previous paper, population structure analysis was used to classify the groups based on the contribution of each accession to each group [
A new crop cultivar must be tested in regional trials at multiple locations and meet standard yield requirement before National Crop cultivar Evaluation and Approval Committee can approve it for release in China. The current national criterion is that a new foxtail millet hybrid cultivar has to increase yield for 8% over a conventional control. However, in research community, 15% of hybrid yield increase over a conventional control is considered as superior heterosis, thus becomes the breeding target for new hybrid cultivars. Because the conventional cultivar controls usually have better yield than the parents used in hybrid breeding programs, higher than 20% transgressive heterosis may be needed to reach required superstandard heterosis, which is equivalent to 8% or higher superstandard heterosis in superior heterotic patterns. Similarly, 5% to 20% of transgressive heterosis
Traits | Yield | Single panicle weight | Panicle grain weight | Percentage panicale grain weightover panicale weight | Panicle length | Panicle diameter |
---|---|---|---|---|---|---|
Yield | ------ | 0.883** | 0.821** | −0.474 | 0.886** | 0.724** |
Single panicle weight | 0.883** | ------ | 0.968** | −0.354 | 0.870** | 0.684** |
Panicle grain weight | 0.821** | 0.968** | ------ | −0.132 | 0.829** | 0.751** |
Percentage panicale Grain weight over Panicale weight | −0.474 | −0.354 | −0.132 | ------ | −0.365 | 0.000 |
Panicle length | 0.886** | 0.870** | 0.829** | −0.365 | ------ | 0.878** |
Panicle diameter | 0.724** | 0.684** | 0.751** | 0.000 | 0.878** | ------ |
**significant correlation.
should be the actual standards for inferior heterotic patterns, which will translated into 0% - 8% superstandard heterosis for inferior heterotic patterns.
This study classified a core collection of breeding materials into different heterotic classes and heterotic patterns based on the combination of the genetic distance between classes, transgressive heterosis and superstandard heterosis of hybrids between the classes. The results suggested that the farther the genetic distance between two classes, the stronger the transgressive heterosis and superstandard heterosis of a hybrid, and the greater possibility to develop hybrids with superior heterosis when crosses are made between the two classes in a heterotic pattern.
The results show that the genetic distance between classes was consistent with the performance of transgressive heterosis and superstandard heterosis of hybrids in general, indicating that the methods for classifying hetorotic classess and heterotic patterns are reliable. According to the established heterotic patterns in this study, we crossed sterile lines “Gu 572A” from C4 to restorer lines “JK6-9” from C2 and obtained a strong heterotic hybrid “57269” (Z-L, Liu, unpublished data). Multiple yield trials showed that “57269” increased yield by 24.54% in an average over a standard control used in the yield trails. Successful development of strong heterotic hybrid “57269” based on predicted superior heterotic pattern suggests that the heterotic patterns established in this study is useful for predicting hybrid performance of these germplasm.
Heterosis usually refers to both transgressive heterosis and superstandard heterosis [
To quickly develop strong heterotic hybrids, attention should be paid to these heterotic patterns that have strong transgressive heterosis and superstandard heterosis. For example, C2/C4 pattern had transgressive heterosis up to 33.16% and superstandard heterosis up to 9.83%, and crosses among the accessions between the two classes will have a greater probability to develop hybrids with superstandard heterosis > 15%. The hybrid “57269” was a good example. In the long run, we should use a combination of traditional cross breeding and recurrent selection to improve the parental yields of all heterotic clasess, especially the patterns whose transgressive heterosis is high but superstandard heterosis is low, such as in C2/C5 pattern.
In this study, a core collection of 128 accessions from China was grouped into six classes using combined analyses of population structure, pedigree, and clustering. The classification was conducted based mainly on molecular clustering of genotypic data, also considered the population structure and mathematical clustering using phenotypic data, and was finally validated through pedigree analysis. According to the transgressive and superstandard heterosis for grain yield, plant height, panicle length, panicle diameter, single panicle weight, grain weight per panicle, and 1000-grain weight collected from an incomplete-diallel-cross experiment, we identified six superior heterosis patterns (C2/C1, C2/C4, C2/C5, C2/C6, C1/C5 and C4/C5) and four inferior heterosis patterns (C1/C3, C1/C4, C1/C6 and C4/C6), and explored their potential applications in millet hybrid breeding. This study laid a foundation for effective use of foxtail millet heterosis in improving millet hybrid yield.
This research was partially supported by Hebei Province Millet Key Laboratory, National Foxtail Millet Improvement Center, and The National Key Technology R&D Program of China (2011BAD06B01).
The authors declare that they have no competing interests.
G, group; C, class; P, probability; SSR, simple sequence repeat.
Entry | Name | G1 | G2 | G3 | G4 | G5 | G6 |
---|---|---|---|---|---|---|---|
1 | Tiegu8 | 0.006 | 0.006 | 0.852 | 0.049 | 0.033 | 0.054 |
2 | Tiegu6 | 0.004 | 0.012 | 0.544 | 0.005 | 0.234 | 0.202 |
3 | Tie487 | 0.007 | 0.011 | 0.937 | 0.008 | 0.01 | 0.027 |
4 | Gonggu68 | 0.005 | 0.004 | 0.561 | 0.017 | 0.406 | 0.007 |
5 | Tiegu14 | 0.006 | 0.006 | 0.87 | 0.008 | 0.041 | 0.07 |
6 | Chao438 | 0.201 | 0.005 | 0.474 | 0.27 | 0.044 | 0.006 |
7 | Jinzhougu 14 | 0.005 | 0.004 | 0.815 | 0.024 | 0.092 | 0.06 |
8 | Tiegu7 | 0.007 | 0.008 | 0.581 | 0.31 | 0.07 | 0.025 |
9 | Jinzhougu12 | 0.44 | 0.003 | 0.009 | 0.535 | 0.005 | 0.009 |
10 | Tie8240 | 0.013 | 0.012 | 0.933 | 0.008 | 0.014 | 0.02 |
11 | Xinggu88 | 0.025 | 0.222 | 0.527 | 0.013 | 0.167 | 0.046 |
12 | Tiegu5 | 0.017 | 0.009 | 0.844 | 0.012 | 0.027 | 0.091 |
13 | An2491 | 0.034 | 0.022 | 0.19 | 0.443 | 0.279 | 0.032 |
14 | Datong29lv | 0.005 | 0.005 | 0.968 | 0.01 | 0.006 | 0.006 |
15 | Shi206065 | 0.109 | 0.122 | 0.362 | 0.365 | 0.019 | 0.023 |
16 | An9217 | 0.004 | 0.005 | 0.87 | 0.066 | 0.009 | 0.046 |
17 | Bagu214 | 0.765 | 0.01 | 0.032 | 0.038 | 0.081 | 0.074 |
18 | Jigu30 | 0.016 | 0.037 | 0.682 | 0.041 | 0.041 | 0.183 |
19 | Jigu26 | 0.034 | 0.008 | 0.199 | 0.006 | 0.007 | 0.747 |
20 | Datong29zi | 0.008 | 0.006 | 0.971 | 0.005 | 0.005 | 0.006 |
21 | Shi206058 | 0.065 | 0.11 | 0.072 | 0.007 | 0.011 | 0.734 |
22 | Shi207226 | 0.017 | 0.018 | 0.034 | 0.051 | 0.022 | 0.859 |
23 | Changgao146A | 0.005 | 0.858 | 0.009 | 0.011 | 0.005 | 0.113 |
24 | Shi207191 | 0.068 | 0.008 | 0.472 | 0.331 | 0.054 | 0.067 |
25 | Jigu25 | 0.343 | 0.043 | 0.312 | 0.177 | 0.035 | 0.09 |
26 | Chaogu13 | 0.014 | 0.024 | 0.909 | 0.009 | 0.013 | 0.031 |
27 | K359 | 0.585 | 0.005 | 0.004 | 0.004 | 0.395 | 0.006 |
28 | Tiedalihuang | 0.007 | 0.01 | 0.795 | 0.006 | 0.053 | 0.129 |
29 | L70 | 0.954 | 0.003 | 0.01 | 0.004 | 0.007 | 0.022 |
30 | K523 | 0.347 | 0.032 | 0.095 | 0.004 | 0.03 | 0.493 |
31 | Changgao117A | 0.004 | 0.908 | 0.056 | 0.018 | 0.004 | 0.011 |
---|---|---|---|---|---|---|---|
32 | Yangu No.12 | 0.009 | 0.526 | 0.437 | 0.01 | 0.014 | 0.005 |
33 | Gonggu70 | 0.011 | 0.007 | 0.881 | 0.023 | 0.018 | 0.06 |
34 | Jigu29 | 0.761 | 0.004 | 0.015 | 0.018 | 0.181 | 0.021 |
35 | S80 | 0.505 | 0.005 | 0.006 | 0.005 | 0.305 | 0.174 |
36 | Changgao229A | 0.007 | 0.875 | 0.019 | 0.024 | 0.006 | 0.07 |
37 | Jinangu13 | 0.067 | 0.009 | 0.007 | 0.003 | 0.784 | 0.129 |
38 | Cang156 | 0.044 | 0.004 | 0.005 | 0.02 | 0.01 | 0.918 |
39 | Jinfen1A | 0.007 | 0.339 | 0.052 | 0.007 | 0.004 | 0.59 |
40 | Fu532 | 0.013 | 0.005 | 0.125 | 0.31 | 0.407 | 0.14 |
41 | C445 | 0.013 | 0.004 | 0.004 | 0.023 | 0.015 | 0.941 |
42 | Chaogu12 | 0.013 | 0.426 | 0.054 | 0.006 | 0.004 | 0.498 |
43 | C208 | 0.219 | 0.004 | 0.021 | 0.009 | 0.071 | 0.676 |
44 | C138 | 0.556 | 0.005 | 0.01 | 0.023 | 0.008 | 0.398 |
45 | Chigu No.4 | 0.01 | 0.023 | 0.948 | 0.004 | 0.005 | 0.01 |
46 | Shi02399 | 0.056 | 0.007 | 0.141 | 0.004 | 0.229 | 0.562 |
47 | Y61 | 0.564 | 0.025 | 0.024 | 0.179 | 0.197 | 0.011 |
48 | Cang344 | 0.537 | 0.005 | 0.009 | 0.416 | 0.026 | 0.007 |
49 | Jinfen3A | 0.006 | 0.351 | 0.034 | 0.007 | 0.004 | 0.597 |
50 | Jin15A | 0.005 | 0.64 | 0.342 | 0.004 | 0.004 | 0.004 |
51 | Datong28 | 0.007 | 0.105 | 0.876 | 0.004 | 0.003 | 0.005 |
52 | Zheng9188 | 0.754 | 0.004 | 0.122 | 0.004 | 0.09 | 0.025 |
53 | Datong14 | 0.338 | 0.009 | 0.634 | 0.005 | 0.006 | 0.008 |
54 | Zhengkang2 | 0.024 | 0.07 | 0.885 | 0.005 | 0.007 | 0.009 |
55 | Dungu1 | 0.068 | 0.003 | 0.004 | 0.007 | 0.899 | 0.019 |
56 | Yugu No.6 | 0.166 | 0.014 | 0.328 | 0.293 | 0.147 | 0.052 |
57 | Datong30 | 0.047 | 0.011 | 0.905 | 0.006 | 0.006 | 0.026 |
58 | Chenggu12 | 0.082 | 0.01 | 0.11 | 0.003 | 0.613 | 0.181 |
59 | Chigu No.10 | 0.013 | 0.066 | 0.907 | 0.003 | 0.004 | 0.007 |
60 | Datong27 | 0.007 | 0.01 | 0.972 | 0.004 | 0.004 | 0.004 |
61 | Gu3A | 0.168 | 0.05 | 0.015 | 0.633 | 0.005 | 0.129 |
62 | An4852 | 0.26 | 0.005 | 0.023 | 0.016 | 0.017 | 0.679 |
63 | Shi207286 | 0.009 | 0.016 | 0.011 | 0.071 | 0.015 | 0.879 |
64 | Shi02530 | 0.094 | 0.007 | 0.525 | 0.079 | 0.237 | 0.059 |
65 | Shi207393 | 0.02 | 0.033 | 0.02 | 0.106 | 0.243 | 0.579 |
66 | Shi207382 | 0.165 | 0.027 | 0.033 | 0.023 | 0.164 | 0.587 |
67 | Chigu8 | 0.006 | 0.034 | 0.925 | 0.007 | 0.016 | 0.012 |
68 | Shi98700 | 0.135 | 0.018 | 0.368 | 0.035 | 0.012 | 0.432 |
---|---|---|---|---|---|---|---|
69 | Shi02521 | 0.106 | 0.186 | 0.119 | 0.021 | 0.011 | 0.556 |
70 | Gu6A | 0.574 | 0.036 | 0.008 | 0.155 | 0.171 | 0.057 |
71 | Shi97672 | 0.028 | 0.015 | 0.26 | 0.005 | 0.441 | 0.251 |
72 | Shi98622 | 0.018 | 0.006 | 0.141 | 0.032 | 0.342 | 0.462 |
73 | Jingu No.16 | 0.007 | 0.924 | 0.016 | 0.009 | 0.039 | 0.006 |
74 | Chaolv-1 | 0.007 | 0.026 | 0.95 | 0.006 | 0.005 | 0.006 |
75 | Changgu No.1 | 0.115 | 0.665 | 0.082 | 0.006 | 0.005 | 0.126 |
76 | K546 | 0.961 | 0.005 | 0.014 | 0.005 | 0.007 | 0.009 |
77 | Gu10A | 0.481 | 0.006 | 0.006 | 0.007 | 0.05 | 0.451 |
78 | Richaogu | 0.017 | 0.015 | 0.407 | 0.004 | 0.017 | 0.54 |
79 | Meiguodatou | 0.004 | 0.007 | 0.795 | 0.004 | 0.167 | 0.023 |
80 | K660 | 0.506 | 0.006 | 0.005 | 0.337 | 0.134 | 0.012 |
81 | K1011 | 0.004 | 0.005 | 0.244 | 0.248 | 0.494 | 0.004 |
82 | Gu11A | 0.005 | 0.711 | 0.034 | 0.011 | 0.23 | 0.008 |
83 | Bagu214-2 | 0.006 | 0.009 | 0.972 | 0.006 | 0.004 | 0.003 |
84 | K1130 | 0.893 | 0.01 | 0.015 | 0.039 | 0.032 | 0.011 |
85 | Jigu19 | 0.014 | 0.006 | 0.021 | 0.005 | 0.021 | 0.933 |
86 | Xiaoxiangmi | 0.63 | 0.007 | 0.015 | 0.33 | 0.011 | 0.007 |
87 | Gu38A | 0.038 | 0.024 | 0.055 | 0.683 | 0.08 | 0.121 |
88 | Shi06-439 | 0.203 | 0.01 | 0.27 | 0.495 | 0.01 | 0.011 |
89 | Gufeng2 | 0.009 | 0.005 | 0.024 | 0.697 | 0.124 | 0.14 |
90 | Gu57A | 0.048 | 0.011 | 0.434 | 0.353 | 0.143 | 0.01 |
91 | Shi181-5 | 0.562 | 0.003 | 0.009 | 0.401 | 0.006 | 0.019 |
92 | Jigu21 | 0.051 | 0.004 | 0.004 | 0.011 | 0.92 | 0.01 |
93 | Gu65A | 0.06 | 0.081 | 0.795 | 0.02 | 0.013 | 0.031 |
94 | Jigu22 | 0.036 | 0.035 | 0.02 | 0.186 | 0.025 | 0.698 |
95 | Jigu20 | 0.005 | 0.005 | 0.111 | 0.039 | 0.241 | 0.598 |
96 | Gu66A | 0.022 | 0.014 | 0.02 | 0.925 | 0.005 | 0.015 |
97 | Yangu No.13 | 0.004 | 0.334 | 0.632 | 0.01 | 0.016 | 0.005 |
98 | Shi06-766 | 0.329 | 0.038 | 0.091 | 0.065 | 0.378 | 0.099 |
99 | Jigu No.12 | 0.01 | 0.01 | 0.232 | 0.011 | 0.008 | 0.73 |
100 | Bao182 | 0.582 | 0.04 | 0.181 | 0.127 | 0.062 | 0.007 |
101 | Jinangu11 | 0.18 | 0.012 | 0.041 | 0.063 | 0.693 | 0.011 |
102 | Jinangu12 | 0.374 | 0.006 | 0.015 | 0.492 | 0.081 | 0.033 |
103 | Chaogu15 | 0.005 | 0.011 | 0.133 | 0.005 | 0.832 | 0.014 |
104 | Lugu No.10 | 0.005 | 0.004 | 0.099 | 0.729 | 0.01 | 0.153 |
105 | Ji9409 | 0.006 | 0.006 | 0.293 | 0.062 | 0.039 | 0.594 |
---|---|---|---|---|---|---|---|
106 | Jigu27 | 0.003 | 0.006 | 0.98 | 0.005 | 0.003 | 0.003 |
107 | Ji9403 | 0.14 | 0.012 | 0.161 | 0.125 | 0.01 | 0.552 |
108 | Heng968 | 0.006 | 0.009 | 0.726 | 0.01 | 0.006 | 0.243 |
109 | Gu83A | 0.21 | 0.025 | 0.094 | 0.636 | 0.03 | 0.006 |
110 | Taixuan4 | 0.012 | 0.578 | 0.22 | 0.127 | 0.017 | 0.046 |
111 | Chaogu14 | 0.04 | 0.009 | 0.302 | 0.334 | 0.171 | 0.144 |
112 | Jingu No.29 | 0.004 | 0.285 | 0.527 | 0.164 | 0.011 | 0.009 |
113 | Gu95A | 0.156 | 0.007 | 0.104 | 0.703 | 0.014 | 0.017 |
114 | Jingu No.21 | 0.012 | 0.853 | 0.109 | 0.004 | 0.008 | 0.014 |
115 | Taixuan2 | 0.498 | 0.071 | 0.322 | 0.008 | 0.007 | 0.093 |
116 | Taixuan5 | 0.081 | 0.512 | 0.345 | 0.012 | 0.039 | 0.01 |
117 | Jingu No.35 | 0.078 | 0.755 | 0.149 | 0.004 | 0.008 | 0.005 |
118 | Changnong35 | 0.006 | 0.89 | 0.089 | 0.005 | 0.006 | 0.005 |
119 | Jigu28 | 0.031 | 0.048 | 0.707 | 0.023 | 0.142 | 0.049 |
120 | Changnong36 | 0.01 | 0.336 | 0.428 | 0.168 | 0.018 | 0.041 |
121 | Jigu24 | 0.023 | 0.005 | 0.005 | 0.021 | 0.057 | 0.888 |
122 | ZA1 | 0.31 | 0.034 | 0.028 | 0.615 | 0.005 | 0.008 |
123 | C178 | 0.249 | 0.005 | 0.214 | 0.036 | 0.012 | 0.484 |
124 | Shi202242 | 0.113 | 0.018 | 0.032 | 0.042 | 0.011 | 0.784 |
125 | An2367 | 0.536 | 0.064 | 0.028 | 0.027 | 0.324 | 0.02 |
126 | 203184zao | 0.178 | 0.005 | 0.032 | 0.004 | 0.519 | 0.262 |
127 | C164 | 0.728 | 0.011 | 0.025 | 0.178 | 0.045 | 0.013 |
128 | Gonggu65 | 0.006 | 0.006 | 0.875 | 0.011 | 0.008 | 0.095 |