





中国农业科学 ›› 2021, Vol. 54 ›› Issue (24): 5177-5193.doi: 10.3864/j.issn.0578-1752.2021.24.002
郭淑青1(
),宋慧2(
),杨清华1,高金锋1,高小丽1,冯佰利1,杨璞1,*(
)
收稿日期:2021-05-24
接受日期:2021-07-08
出版日期:2021-12-16
发布日期:2021-12-28
联系方式:
郭淑青,E-mail: gsq055069@nwafu.edu.cn。|宋慧,E-mail: 837181622@qq.com。
基金资助:
GUO ShuQing1(
),SONG Hui2(
),YANG QingHua1,GAO JinFeng1,GAO XiaoLi1,FENG BaiLi1,YANG Pu1,*(
)
Received:2021-05-24
Accepted:2021-07-08
Published:2021-12-16
Online:2021-12-28
摘要:
【目的】株高和穗部性状是影响谷子产量的关键性状。探究谷子株高及穗部性状表型变异的遗传规律,为相关性状的遗传改良与基因定位提供参考依据。【方法】以谷子优质品种豫谷18为共同父本,分别与黄软谷和红酒谷杂交,构建2个分别包含250个家系的重组自交系F7群体(YYRIL和YRRIL)。采用主基因+多基因混合遗传模型,对YYRIL和YRRIL群体在2个环境下的株高、穗长、穗下节间长、穗码数、穗粒重等5个农艺性状的表型数据进行遗传分析。【结果】5个性状在所有环境中均表现连续变异且存在超亲分离现象,峰度和偏度绝对值小于1,近似正态分布,呈现数量性状的典型遗传特点。性状间相关性分析表明株高与穗长、穗下节间长在所有环境中均呈极显著正相关,穗码数与穗粒重呈极显著正相关。遗传模型分析显示YYRIL和YRRIL群体株高的最适遗传模型分别为PG-AI和PG-A多基因模型,多基因遗传率分别为95.15%和91.27%。2个群体穗码数的最适模型均为PG-AI,多基因遗传率为70.07%—71.58%。穗下节间长在2个群体的最适遗传模型分别为4MG-CEA和3MG-CEA,均为等加性主基因模型。穗下节间长在YYRIL群体的主基因遗传率为9.69%,4对主基因加性效应值相等,均为-0.34,具有负向效应;穗下节间长在YRRIL群体的主基因遗传率为45.78%,3对主基因加性效应值相等,均为1.17,具有正向效应。穗长在YYRIL群体的最适模型为MX2-ED-A,即2对显性上位主基因+加性多基因模型,主基因遗传率为43.56%,多基因遗传率为50.56%。控制穗长的2对主基因加性效应值分别为-1.21、1.68,多基因加性效应较小,为-0.0017;穗长在YRRIL群体的最适模型为MX2-AE-A,即2对累加作用主基因,加性多基因混合遗传模型;穗长的主基因遗传率为46.40%,多基因遗传率为46.91%。控制穗长的第1对主基因加性效应值为1.53,具有正向效应,第1对主基因加性×第2对主基因加性上位性互作效应值是0.60,多基因加性效应值为-0.47,表现为较低的负向遗传效应。穗粒重在YYRIL群体的最适遗传模型为MX2-ED-A;符合2对显性上位主基因+加性多基因模型,主基因遗传率为69.09%,多基因遗传率为12.08%;控制穗粒重的2对主基因加性效应值分别为0.58、5.82,以第2对主基因的加性效应为主,多基因加性效应值为-3.81。穗粒重在YRRIL群体的最适遗传模型为3MG-PEA,即3对部分等加性主基因遗传模型;穗粒重的主基因遗传率为81.10%,3对主基因加性效应值分别为-2.68、-2.68和2.66,前2对主基因的加性效应值相同,且均为负向效应。【结论】谷子株高、穗码数的最适遗传模型相似,均服从多基因遗传,遗传率较高,受环境影响较小;穗下节间长的遗传受主基因控制,主基因遗传率偏低,受环境影响较大,在栽培中应充分考虑环境因素;穗长遗传受主基因和多基因共同控制;穗粒重在2个群体均服从主基因遗传,主基因遗传率较高,可能存在主效QTL。
郭淑青,宋慧,杨清华,高金锋,高小丽,冯佰利,杨璞. 谷子株高及穗部性状主基因+多基因混合遗传模型分析[J]. 中国农业科学, 2021, 54(24): 5177-5193.
GUO ShuQing,SONG Hui,YANG QingHua,GAO JinFeng,GAO XiaoLi,FENG BaiLi,YANG Pu. Analyzing Genetic Effects for Plant Height and Panicle Traits by Means of the Mixed Inheritance Model of Major Gene Plus Polygene in Foxtail Millet[J]. Scientia Agricultura Sinica, 2021, 54(24): 5177-5193.
表1
谷子YYRIL和YRRIL群体株高及穗部性状描述性统计分析"
| 群体 Population | 性状 Trait | 环境 Environment | 亲本 Parent | 统计参数 Statistical parameter | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 豫谷18 Yugu 18 | 黄软谷 Huangruangu | 红酒谷 Hongjiugu | F值 F value | 平均值± 标准差 Mean±SD | 变异系数 Variable coefficient (%) | 偏度 Skewness | 峰度 Kurtosis | 极小值 Min value | 极大值 Max value | |||
| YYRIL | 株高 PH (cm) | E1 | 130.33±4.31 | 167.60±5.12 | - | 155.15** | 133.25±9.39 | 7.05 | -0.72 | 0.54 | 98.67 | 163.00 |
| E2 | 111.03±1.34 | 130.30±1.48 | 278.64** | 112.64±6.40 | 5.68 | -0.13 | 0.50 | 92.30 | 129.00 | |||
| 穗长 PL (cm) | E1 | 27.17±1.77 | 28.67±2.56 | 1.16 | 26.09±2.64 | 10.14 | -0.09 | 1.34 | 17.00 | 35.00 | ||
| E2 | 21.11±0.59 | 20.37±0.60 | 2.32 | 21.30±2.53 | 11.89 | 0.58 | 0.23 | 16.37 | 29.51 | |||
| 穗下节间长 PIL (cm) | E1 | 26.67±3.73 | 38.43±3.59 | 5.30* | 26.67 ±4.86 | 18.23 | 1.29 | 3.60 | 15.00 | 47.67 | ||
| E2 | 27.08±1.61 | 24.41±1.80 | 3.66 | 26.70 ±2.32 | 8.68 | 0.22 | 0.38 | 19.40 | 33.50 | |||
| 穗码数 SN | E1 | 87.00±6.71 | 116.80±5.70 | 57.32** | 91.52±15.85 | 17.35 | 0.61 | 0.41 | 51.00 | 142.00 | ||
| E2 | 92.00±5.41 | 68.83±0.35 | 54.81** | 95.32±10.26 | 10.79 | -0.02 | 0.64 | 60.00 | 127.33 | |||
| 穗粒重 GW (g) | E1 | 35.98±1.97 | 35.38±1.55 | 0.28 | 35.57±6.31 | 17.74 | 0.19 | 0.12 | 20.70 | 55.47 | ||
| E2 | 15.99±2.41 | 15.37±1.88 | 0.13 | 18.88 ±4.96 | 26.27 | -0.25 | -0.46 | 6.27 | 30.90 | |||
| YRRIL | 株高 PH (cm) | E1 | 130.33±4.31 | - | 167.60±5.12 | 0.34 | 140.77±14.34 | 10.19 | -0.36 | 0.94 | 88.67 | 182.33 |
| E2 | 113.53±4.52 | 130.30±1.48 | 0.01 | 116.15±11.52 | 9.92 | -0.05 | 0.27 | 83.40 | 147.90 | |||
| 穗长 PL (cm) | E1 | 27.17 ±1.77 | 28.67±2.56 | 0.22 | 29.74±4.04 | 13.60 | 0.23 | 0.47 | 18.33 | 43.00 | ||
| E2 | 21.11±0.59 | 20.37±0.60 | 6.95* | 23.25±3.31 | 14.24 | 0.33 | -0.07 | 15.72 | 33.44 | |||
| 穗下节间长 PIL (cm) | E1 | 26.67±3.73 | 38.43±3.59 | 1.06 | 28.31±4.62 | 16.35 | 0.04 | -0.07 | 14.00 | 40.67 | ||
| E2 | 26.04±2.42 | 24.41±1.80 | 1.43 | 27.83±2.99 | 10.73 | 0.17 | 0.12 | 18.70 | 36.30 | |||
| 穗码数 SN | E1 | 87.00 ±6.71 | 116.80±5.70 | 26.61** | 92.56±12.46 | 13.46 | 0.41 | 0.60 | 63.00 | 140.00 | ||
| E2 | 92.00±5.41 | 68.83±0.35 | 116.61** | 88.52±15.53 | 17.54 | -0.03 | 0.06 | 42.67 | 131.67 | |||
| 穗粒重 GW (g) | E1 | 15.97±1.97 | 35.38±1.55 | 34.38** | 28.98±8.22 | 28.37 | -0.30 | 0.33 | 1.28 | 50.22 | ||
| E2 | 15.99±2.41 | 15.37±1.88 | 14.10** | 14.94±4.96 | 33.20 | 0.06 | -0.25 | 0.56 | 27.17 | |||
表2
谷子YYRIL和YRRIL群体株高及穗部性状最适遗传模型分离分析的极大似然值函数MLV值和Akaike信息准则AIC值"
| 群体 Population | 模型 Model | 环境 Environment | AIC值 AIC value | 极大似然值函数 log Max likelihood value | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 株高 PH (cm) | 穗长 PL (cm) | 穗下节 间长 PIL (cm) | 穗码数 SN | 穗粒重 GW (g) | 株高 PH (cm) | 穗长 PL (cm) | 穗下节 间长 PIL (cm) | 穗码数 SN | 穗粒重 GW (g) | |||
| YYRIL | 2MG-CE | E1 | 1928.983 | 1258.995 | 1525.436 | 2165.766 | 1703.545 | -961.491 | -626.498 | -759.718 | -1079.880 | -848.772 |
| E2 | 1673.334 | 1205.629 | 1165.094 | 1891.071 | 1493.398 | -833.667 | -599.815 | -579.547 | -942.536 | -743.749 | ||
| 2MG-IE | E1 | 1946.947 | 1259.334 | 1592.593 | 2199.59 | 1700.742 | -970.474 | -626.667 | -793.296 | -1096.800 | -847.371 | |
| E2 | 1683.772 | 1191.154 | 1165.221 | 1499.641 | 1555.967 | -838.886 | -592.577 | -579.611 | -945.651 | -746.821 | ||
| PG-AI | E1 | 1874.259 | 1258.761 | 1563.550 | 2184.263 | 1688.339 | -932.129 | -624.381 | -776.775 | -1087.130 | -839.170 | |
| E2 | 1643.336 | 1193.997 | 1166.565 | 1881.470 | 1494.873 | -816.668 | -591.999 | -578.283 | -935.735 | -742.436 | ||
| PG-A | E1 | 1910.028 | 1262.937 | 1579.432 | 2191.688 | 1686.369 | -951.014 | -627.468 | -785.716 | -1091.844 | -839.184 | |
| E2 | 1670.006 | 1195.977 | 1166.656 | 1894.977 | 1501.853 | -831.003 | -593.989 | -579.328 | -943.489 | -746.926 | ||
| MX2-ED-A | E1 | 1905.438 | 1263.735 | 1537.786 | 2169.123 | 1690.337 | -946.719 | -625.867 | -762.893 | -1078.562 | -839.168 | |
| E2 | 1668.164 | 1186.078 | 1167.351 | 1894.254 | 1485.489 | -828.082 | -587.039 | -577.675 | -941.127 | -736.745 | ||
| MX2-IE-A | E1 | 1893.120 | 1259.66 | 1549.822 | 2179.865 | 1688.339 | -941.560 | -624.830 | -769.911 | -1084.930 | -839.170 | |
| E2 | 1650.743 | 1194.107 | 1166.805 | 1885.618 | 1490.959 | -820.372 | -592.054 | -578.403 | -937.809 | -740.480 | ||
| 3MG-AI | E1 | 1920.146 | 1263.787 | 1520.849 | 2175.811 | 1695.520 | -951.073 | -622.894 | -751.425 | -1078.910 | -838.760 | |
| E2 | 1672.503 | 1196.305 | 1170.383 | 1894.109 | 1499.248 | -827.251 | -589.153 | -576.192 | -938.054 | -740.624 | ||
| 3MG-A | E1 | 1907.177 | 1304.757 | 1526.969 | 2194.113 | 1745.407 | -948.589 | -647.378 | -758.485 | -1092.060 | -867.704 | |
| E2 | 1741.659 | 1262.926 | 1247.707 | 1980.956 | 1528.237 | -865.829 | -626.463 | -618.854 | -985.478 | -759.069 | ||
| 4MG-AI | E1 | 1883.204 | 1262.754 | 1522.043 | 2176.348 | 1695.575 | -930.602 | -620.377 | -750.022 | -1077.170 | -836.787 | |
| E2 | 1644.595 | 1194.974 | 1174.859 | 1890.751 | 1491.577 | -811.298 | -586.487 | -576.430 | -934.376 | -734.788 | ||
| 4MG-CEA | E1 | 1924.862 | 1260.966 | 1581.604 | 2190.545 | 1703.538 | -959.431 | -627.483 | -787.802 | -1092.273 | -848.769 | |
| E2 | 1671.823 | 1205.795 | 1164.932 | 1894.115 | 1500.879 | -832.911 | -599.897 | -579.466 | -944.057 | -747.440 | ||
| YRRIL | PG-AI | E1 | 2127.810 | 1463.860 | 1548.080 | 2060.150 | 1808.660 | -1058.900 | -726.930 | -769.040 | -1025.080 | -899.330 |
| E2 | 1968.100 | 1327.790 | 1290.100 | 2086.370 | 1485.673 | -979.050 | -658.900 | -640.050 | -1038.180 | -737.837 | ||
| PG-A | E1 | 2144.070 | 1470.269 | 1552.737 | 2084.070 | 1875.610 | -1068.030 | -731.130 | -772.370 | -1038.040 | -933.810 | |
| E2 | 1966.339 | 1327.199 | 1291.175 | 2105.070 | 1488.229 | -979.170 | -659.600 | -641.590 | -1048.540 | -740.115 | ||
| MX2-AI-AI | E1 | 2132.700 | 1468.770 | 1553.880 | 2063.510 | 1813.240 | -1058.350 | -726.380 | -768.940 | -1023.750 | -898.620 | |
| E2 | 1973.990 | 1328.040 | 1294.300 | 2092.370 | 1489.548 | -978.990 | -656.020 | -639.150 | -1038.190 | -736.774 | ||
| MX2-AE-A | E1 | 2133.610 | 1466.480 | 1550.140 | 2077.840 | 1863.340 | -1060.810 | -727.240 | -769.070 | -1032.920 | -925.670 | |
| E2 | 1970.120 | 1324.700 | 1290.420 | 2095.100 | 1487.522 | -979.060 | -656.350 | -639.210 | -1041.550 | -737.761 | ||
| MX2-CE-A | E1 | 2126.700 | 1464.320 | 1547.970 | 2075.380 | 1847.080 | -1058.350 | -727.160 | -768.980 | -1032.690 | -918.540 | |
| E2 | 1968.100 | 1327.780 | 1290.590 | 2087.170 | 1485.717 | -979.050 | -658.890 | -640.300 | -1038.580 | -737.858 | ||
| MX2-IE-A | E1 | 2126.700 | 1464.210 | 1547.970 | 2071.480 | 1816.670 | -1058.350 | -727.110 | -768.980 | -1030.740 | -903.330 | |
| E2 | 1968.100 | 1327.780 | 1289.670 | 2086.890 | 1485.713 | -979.050 | -658.890 | -639.840 | -1038.450 | -737.856 | ||
| 3MG-CEA | E1 | 2145.760 | 1475.360 | 1552.430 | 2094.450 | 1885.850 | -1069.880 | -734.680 | -773.210 | -1044.230 | -939.920 | |
| E2 | 1976.140 | 1330.790 | 1285.900 | 2105.820 | 1491.784 | -985.070 | -662.390 | -639.950 | -1049.910 | -742.892 | ||
| 3MG-PEA | E1 | 2144.328 | 1473.738 | 1552.977 | 2086.316 | 1877.291 | -1068.164 | -732.869 | -772.489 | -1039.158 | -934.645 | |
| E2 | 1974.695 | 1330.540 | 1291.268 | 2105.610 | 1481.494 | -983.347 | -661.270 | -641.634 | -1048.805 | -736.747 | ||
| 4MG-CEA | E1 | 2142.510 | 1336.310 | 1289.190 | 2083.790 | 1875.220 | -1068.260 | -733.820 | -772.400 | -1038.890 | -934.610 | |
| E2 | 1978.410 | 1473.630 | 1550.790 | 2103.240 | 1491.345 | -985.080 | -665.150 | -641.600 | -1048.620 | -742.673 | ||
| 4MG-EEEA | E1 | 2137.697 | 1472.090 | 1546.820 | 2074.633 | 1860.792 | -1064.849 | -732.050 | -769.410 | -1033.316 | -926.396 | |
| E2 | 1977.930 | 1336.030 | 1288.290 | 2093.559 | 1488.400 | -984.960 | -664.020 | -640.140 | -1042.779 | -740.200 | ||
表3
谷子YYRIL和YRRIL群体株高及穗部性状最佳遗传模型适应性检验"
| 群体 Population | 性状 Traits | 环境 Environment | 模型代码 Model code | 世代 Generation | U12 | U22 | U32 | nW2 | Dn |
|---|---|---|---|---|---|---|---|---|---|
| YYRIL | 株高 PH (cm) | E1 | PG-AI | P1 | 0.0662(0.7970) | 0.1000(0.7518) | 0.0721(0.7883) | 0.0388(0.9392) | 0.1938(0.9454) |
| P2 | 2.00E-04(0.9885) | 0.0046(0.9460) | 0.0462(0.8299) | 0.0430(0.9171) | 0.2032(0.9248) | ||||
| RIL | 0.1309(0.7175) | 0.0243(0.8761) | 0.6052(0.4366) | 0.1151(0.5231) | 0.0568(0.3928) | ||||
| E2 | PG-AI | P1 | 0.000(0.9997) | 0.0043(0.9480) | 0.0673(0.7954) | 0.0584(0.8257) | 0.2500(0.9062) | ||
| P2 | 0.0377(0.8460) | 0.0269(0.8698) | 0.0093(0.9233) | 0.0521(0.8641) | 0.2500(0.9062) | ||||
| RIL | 0.0029(0.9568) | 0.0138(0.9066) | 0.4614(0.4970) | 0.0466(0.8966) | 0.0359(0.8992) | ||||
| 穗长 PL (cm) | E2 | MX2-ED-A | P1 | 0.2331(0.6292) | 0.2687(0.6042) | 0.0414(0.8388) | 0.0745(0.7332) | 0.3457(0.6199) | |
| P2 | 0.1657(0.6839) | 0.2539(0.6143) | 0.1926(0.6608) | 0.0539(0.8531) | 0.2819(0.8247) | ||||
| RIL | 0.2644(0.6071) | 0.2146(0.6432) | 0.0191(0.8900) | 0.0700(0.7584) | 0.0418(0.7609) | ||||
| 穗下节间长 PIL (cm) | E2 | 4MG-CEA | P1 | 0.5189(0.4713) | 0.6671(0.4141) | 0.2275(0.6334) | 0.0814(0.6952) | 0.3361(0.6526) | |
| P2 | 1.0280(0.3106) | 0.9273(0.3356) | 0.0056(0.9403) | 0.1594(0.3633) | 0.4168(0.3853) | ||||
| RIL | 0.0088(0.9252) | 0.0654(0.7982) | 0.4344(0.5099) | 0.04300(0.917) | 0.0364(0.8845) | ||||
| 穗码数 SN | E2 | PG-AI | P1 | 0.0618(0.8037) | 0.0237(0.8776) | 0.1202(0.7288) | 0.0673(0.7736) | 0.2736(0.8477) | |
| P2 | 0.0165(0.8977) | 0.0070(0.9335) | 0.0270(0.8695) | 0.0333(0.9641) | 0.2028(0.9859) | ||||
| RIL | 0.0000(0.9944) | 0.0147(0.9035) | 0.2622(0.6086) | 0.0249(0.9897) | 0.0321(0.9567) | ||||
| 穗粒重 GW (g) | E2 | MX2-ED-A | P1 | 0.0742(0.7853) | 0.0855(0.7700) | 0.0131(0.9087) | 0.0506(0.8730) | 0.2938(0.7898) | |
| P2 | 0.0193(0.8894) | 0.0015(0.9688) | 0.1461(0.7023) | 0.04980.8776 | 0.2430(0.9256) | ||||
| RIL | 0.0022(0.9626) | 0.0011(0.9733) | 0.0023(0.9621) | 0.0249(0.9898) | 0.0347(0.9250) | ||||
| YRRIL | 株高 PH (cm) | E2 | PG-A | P1 | 0.1357(0.7126) | 0.000(0.9999) | 2.0374(0.1535) | 0.1035(0.5781) | 0.3144(0.7251) |
| P2 | 0.0436(0.8346) | 0.0005(0.9827) | 0.5212(0.4703) | 0.076(0.7251) | 0.2962(0.7823) | ||||
| RIL | 0.0170(0.8962) | 0.1167(0.7326) | 0.7418(0.3891) | 0.1078(0.5569) | 0.0495(0.5607) | ||||
| 穗长 PL (cm) | E2 | MX2-AE-A | P1 | 0.0575(0.8104) | 0.0067(0.9346) | 0.3608(0.5481) | 0.0719(0.7475) | 0.3064(0.7507) | |
| P2 | 0.1065(0.7442) | 0.2014(0.6536) | 0.2825(0.5951) | 0.0436(0.9140) | 0.2323(0.9491) | ||||
| RIL | 0.0024(0.9612) | 1.00E-04(0.9935) | 0.0243(0.8761) | 0.0169(0.9991) | 0.0266(0.9928) | ||||
| 穗下节间长 PIL (cm) | E2 | 3MG-CEA | P1 | 0.3320(0.5645) | 0.1360(0.7123) | 0.5724(0.4493) | 0.0732(0.7403) | 0.2888(0.8046) | |
| P2 | 1.0170(0.3132) | 1.1713(0.2791) | 0.1791(0.6721) | 0.136(0.4381) | 0.4204(0.3746) | ||||
| RIL | 0.0692(0.7925) | 0.1113(0.7386) | 0.0998(0.752) | 0.051(0.8705) | 0.0418(0.7624) | ||||
| 穗码数 SN | E1 | PG-AI | P1 | 0.0460(0.8301) | 0.0653(0.7983) | 0.0366(0.8483) | 0.0689(0.7647) | 0.2934(0.5835) | |
| P2 | 0.0273(0.8689) | 1.00E-04(0.9929) | 0.4557(0.4997) | 0.0835(0.6836) | 0.2453(0.7883) | ||||
| RIL | 0.1758(0.6750) | 0.3119(0.5765) | 0.3719(0.5420) | 0.0801(0.7023) | 0.058(0.3559) | ||||
| E2 | PG-AI | P1 | 5.00E-04(0.9816) | 0.0748(0.7845) | 1.4007(0.2366) | 0.0617(0.8065) | 0.2500(0.9063) | ||
| P2 | 0.0545(0.8154) | 4.00E-04(0.9837) | 0.9728(0.324) | 0.0521(0.864) | 0.2398(0.9333) | ||||
| RIL | 0.0127(0.9101) | 0.0052(0.9425) | 0.0220(0.8820) | 0.0626(0.8010) | 0.0431(0.7379) | ||||
| 穗粒重 GW (g) | E2 | 3MG-PEA | P1 | 3.0278(0.0818) | 3.0582(0.0803) | 0.0655(0.7980) | 0.4180(0.0671) | 0.5793(0.0857) | |
| P2 | 1.3457(0.2460) | 0.8914(0.3451) | 0.5132(0.4738) | 0.1739(0.3252) | 0.4645(0.2578) | ||||
| RIL | 0.0165(0.8977) | 0.0061(0.9375) | 0.0340(0.8536) | 0.0305(0.9746) | 0.0268(0.9937) |
表4
谷子YYRIL和YRRIL群体株高及穗部性状最适模型遗传参数"
| 群体 Population | 性状 Trait | 环境 Environment | 亲本 Parent | 统计参数 Statistical parameter | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 豫谷18 Yugu 18 | 黄软谷 Huangruangu | 红酒谷 Hongjiugu | F值 F value | 平均值± 标准差 Mean±SD | 变异系数 Variable coefficient (%) | 偏度 Skewness | 峰度 Kurtosis | 极小值 Min value | 极大值 Max value | |||
| YYRIL | 株高 PH (cm) | E1 | 130.33±4.31 | 167.60±5.12 | - | 155.15** | 133.25±9.39 | 7.05 | -0.72 | 0.54 | 98.67 | 163.00 |
| E2 | 111.03±1.34 | 130.30±1.48 | 278.64** | 112.64±6.40 | 5.68 | -0.13 | 0.50 | 92.30 | 129.00 | |||
| 穗长 PL (cm) | E1 | 27.17±1.77 | 28.67±2.56 | 1.16 | 26.09±2.64 | 10.14 | -0.09 | 1.34 | 17.00 | 35.00 | ||
| E2 | 21.11±0.59 | 20.37±0.60 | 2.32 | 21.30±2.53 | 11.89 | 0.58 | 0.23 | 16.37 | 29.51 | |||
| 穗下节间长 PIL (cm) | E1 | 26.67±3.73 | 38.43±3.59 | 5.30* | 26.67 ±4.86 | 18.23 | 1.29 | 3.60 | 15.00 | 47.67 | ||
| E2 | 27.08±1.61 | 24.41±1.80 | 3.66 | 26.70 ±2.32 | 8.68 | 0.22 | 0.38 | 19.40 | 33.50 | |||
| 穗码数 SN | E1 | 87.00±6.71 | 116.80±5.70 | 57.32** | 91.52±15.85 | 17.35 | 0.61 | 0.41 | 51.00 | 142.00 | ||
| E2 | 92.00±5.41 | 68.83±0.35 | 54.81** | 95.32±10.26 | 10.79 | -0.02 | 0.64 | 60.00 | 127.33 | |||
| 穗粒重 GW (g) | E1 | 35.98±1.97 | 35.38±1.55 | 0.28 | 35.57±6.31 | 17.74 | 0.19 | 0.12 | 20.70 | 55.47 | ||
| E2 | 15.99±2.41 | 15.37±1.88 | 0.13 | 18.88 ±4.96 | 26.27 | -0.25 | -0.46 | 6.27 | 30.90 | |||
| YRRIL | 株高 PH (cm) | E1 | 130.33±4.31 | - | 167.60±5.12 | 0.34 | 140.77±14.34 | 10.19 | -0.36 | 0.94 | 88.67 | 182.33 |
| E2 | 113.53±4.52 | 130.30±1.48 | 0.01 | 116.15±11.52 | 9.92 | -0.05 | 0.27 | 83.40 | 147.90 | |||
| 穗长 PL (cm) | E1 | 27.17 ±1.77 | 28.67±2.56 | 0.22 | 29.74±4.04 | 13.60 | 0.23 | 0.47 | 18.33 | 43.00 | ||
| E2 | 21.11±0.59 | 20.37±0.60 | 6.95* | 23.25±3.31 | 14.24 | 0.33 | -0.07 | 15.72 | 33.44 | |||
| 穗下节间长 PIL (cm) | E1 | 26.67±3.73 | 38.43±3.59 | 1.06 | 28.31±4.62 | 16.35 | 0.04 | -0.07 | 14.00 | 40.67 | ||
| E2 | 26.04±2.42 | 24.41±1.80 | 1.43 | 27.83±2.99 | 10.73 | 0.17 | 0.12 | 18.70 | 36.30 | |||
| 穗码数 SN | E1 | 87.00 ±6.71 | 116.80±5.70 | 26.61** | 92.56±12.46 | 13.46 | 0.41 | 0.60 | 63.00 | 140.00 | ||
| E2 | 92.00±5.41 | 68.83±0.35 | 116.61** | 88.52±15.53 | 17.54 | -0.03 | 0.06 | 42.67 | 131.67 | |||
| 穗粒重 GW (g) | E1 | 15.97±1.97 | 35.38±1.55 | 34.38** | 28.98±8.22 | 28.37 | -0.30 | 0.33 | 1.28 | 50.22 | ||
| E2 | 15.99±2.41 | 15.37±1.88 | 14.10** | 14.94±4.96 | 33.20 | 0.06 | -0.25 | 0.56 | 27.17 | |||
| [1] |
JIA G Q, HUANG X H, ZHI H, ZHAO Y, ZHAO Q, LI W J, CHAI Y, YANG L F, LIU K Y, LU H Y, ZHU C R, LU Y Q, ZHOU C C, FAN D L, WENG Q J, GUO Y L, HUANG T, ZHANG L, LU T T, FENG Q, HAO H F, LIU H K, LU P, ZHANG N, LI Y H, GUO E H, WANG S J, WANG S Y, LIU J R, ZHANG W F, CHEN G Q, ZHANG B J, LI W, WANG Y F, LI H Q, ZHAO B H, LI J Y, DIAO X M, HAN B. A haplotype map of genomic variations and genome-wide association studies of agronomic traits in foxtail millet (Setaria italica). Nature Genetics, 2013, 45(8):957-961.
doi: 10.1038/ng.2673 |
| [2] | 贾小平, 张博, 董志平, 全建章, 王永芳, 张小梅, 袁玺垒, 李剑峰, 戴凌峰. 海南短日照条件下谷子穗部性状的全基因组关联分析. 河南农业科学, 2018, 47(9):33-40. |
| JIA X P, ZHANG B, DONG Z P, QUAN J Z, WANG Y F, ZHANG X M, YUAN X L, LI J F, DAI L F. Genome-wide association analysis of panicle traits of foxtail millet under hainan short-day condition. Journal of Henan Agricultural Sciences, 2018, 47(9):33-40. (in Chinese) | |
| [3] | 盖钧镒. 植物数量性状遗传体系的分离分析方法研究. 遗传, 2005(1):130-136. |
| GAI J Y. Segregation analysis of genetic system of quantitative traits in plants. Hereditas, 2005(1):130-136. (in Chinese) | |
| [4] | 王小勤. 谷子高密度遗传图谱构建及产量和农艺性状QTL分析[D]. 重庆: 西南大学, 2017. |
| WANG X Q. Construction of high-density genetic map and QTL analysis of yield and agronomic traits in Foxtail millet[D]. Chongqing: Southwest University, 2017. (in Chinese) | |
| [5] | 章元明, 盖钧镒, 王永军. 利用P1、P2和DH或RIL群体联合分离分析的拓展. 遗传, 2001(5):467-470. |
| ZHANG Y M, GAI J Y, WANG Y J. An expansion of joint segregation analysis of quantitative trait for using P1, P2 and DH or RIL populations. Hereditas, 2001(5):467-470. (in Chinese) | |
| [6] | 张书芬, 傅廷栋, 朱家成, 王建平, 文雁成, 马朝芝. 甘蓝型油菜芥酸含量的基因分析. 中国农业科学, 2008, 41(10):3343-3349. |
| ZHANG S F, FU T D, ZHU J C, WANG J P, WEN Y C, MA C Z. Genetic analysis of erucic acid in Brassica napus L. using mixed major gene and polygene inheritance model. Scientia Agricultura Sinica, 2008, 41(10):3343-3349. (in Chinese) | |
| [7] |
王金社, 李海旺, 赵团结, 盖钧镒. 重组自交家系群体4对主基因加多基因混合遗传模型分离分析方法的建立. 作物学报, 2010, 36(2):191-201.
doi: 10.3724/SP.J.1006.2010.00191 |
|
WANG J S, LI H W, ZHAO T J, GAI J Y. Establishment of segregation analysis of mixed inheritance model with four major genes plus polygenes in recombinant inbred lines population. Acta Agronomica Sinica, 2010, 36(2):191-201. (in Chinese)
doi: 10.3724/SP.J.1006.2010.00191 |
|
| [8] | 盖钧镒, 章元明, 王建康. QTL混合遗传模型扩展至2对主基因+多基因时的多世代联合分析. 作物学报, 2000, 26(4):385-391. |
| GAI J Y, ZHANG Y M, WANG J K. A joint analysis of multiple generations for QTL models extended to mixed two major genes plus polygene. Acta Agronomica Sinica, 2000, 26(4):385-391. (in Chinese) | |
| [9] | 章元明, 盖钧镒, 张孟臣. 利用P1F1P2和F2或F2:3世代联合的数量性状分离分析. 西南农业大学学报, 2000, 22(1):6-9. |
| ZHANG Y M, GAI J Y, ZHANG M C. Jointly segregating analysis of P1P2F1 and F2 or F2∶3 families. Journal of Southwest Agricultural University, 2000, 22(1):6-9. (in Chinese) | |
| [10] | 章元明, 盖钧镒. 数量性状分离分析中分布参数估计的IECM算法. 作物学报, 2000(6):699-706. |
| ZHANG Y M, GAI J Y. The IECM algorithm for estimation of component distribution parameters in segregating analysis of quantitative traits. Acta Agronomica Sinica, 2000(6):699-706. (in Chinese) | |
| [11] | 咸丰, 张勇, 马建祥, 张显, 杨建强. 野生甜瓜‘云甜-930’抗白粉病主基因+多基因遗传分析. 中国农业科学, 2011, 44(7):1425-1433. |
| XIAN F, ZHANG Y, MA J X, ZHANG X, YANG J Q. Genetic analysis of resistant to powdery mildew with mixed model of major gene plus polygene in wild melon material ‘Yuntian-930’. Scientia Agricultura Sinica, 2011, 44(7):1425-1433. (in Chinese) | |
| [12] | 冯云超, 余志江, 霍仕平, 晏庆九, 向振凡, 张芳魁, 羊炼, 张兴端. 玉米雄穗抽雄至散粉间隔时间主基因+多基因遗传模型及遗传效应. 玉米科学, 2019, 27(4):1-8. |
| FENG Y C, YU Z J, HUO S P, YAN Q J, XIANG Z F, ZHANG F K, YANG L, ZHANG X D. Genetic effects of tassel-anthesis interval using mixture model of major gene plus polygene in maize. Journal of Maize Sciences, 2019, 27(4):1-8. (in Chinese) | |
| [13] |
WANG J, PODLICH D W, COOPER M, DELACY I H. Power of the joint segregation analysis method for testing mixed major-gene and polygene inheritance models of quantitative traits. Theoretical and Applied Genetics, 2001, 103(5):804-816.
doi: 10.1007/s001220100628 |
| [14] | 王培, 李晓林, 杨林, 吴青霞, 杨子博, 白志元, 李立群, 李学军. 小麦单株穗数的遗传分析及基于QTL定位的最优基因型预测. 麦类作物学报, 2012, 32(5):820-827. |
| WANG P, LI X L, YANG L, WU Q X, YANG Z B, BAI Z Y, LI L Q, LI X J. Genetic analysis of spike number per plant in wheat and prediction of superior genotype based on QTL information. Journal of Triticeae Crops, 2012, 32(5):820-827. (in Chinese) | |
| [15] | 刘莹, 盖钧镒, 吕慧能, 王永军, 陈受宜. 大豆耐旱种质鉴定和相关根系性状的遗传与QTL定位. 遗传学报, 2005(8):855-863. |
| LIU Y, GAI J Y, LÜ H N, WANG Y J, CHEN S Y. Identification of drought tolerant germplasm and inheritance and QTL mapping of related root traits in soybean (Glycine max (L.) Merr). Acta Gentica Sinica, 2005(8):855-863. (in Chinese) | |
| [16] | 王春娥, 盖钧镒, 傅三雄, 喻德跃, 陈受宜. 大豆豆腐和豆乳得率的遗传分析与QTL定位. 中国农业科学, 2008, 41(5):1274-1282. |
| WANG C E, GAI J Y, FU S X, YU D Y, CHEN S Y. Inheritance and QTL mapping of tofu and soymilk output in soybean. Scientia Agricultura Sinica, 2008, 41(5):1274-1282. (in Chinese) | |
| [17] | 马斯霜, 白海波, 惠建, 吕雪莲, 陈晓军, 高颖银, 李树华. 旱胁迫下2个小麦RIL群体苗期性状主基因与多基因的遗传分析. 江苏农业科学, 2020, 48(14):87-93. |
| MA S S, BAI H B, HUI J, LÜ X L, CHEN X J, GAO Y Y, LI S H. Genetic analysis of main genes and polygenes in seedling traits of two wheat RIL populations under drought stress. Jiangsu Agricultural Sciences, 2020, 48(14):87-93. (in Chinese) | |
| [18] | 苏展, 程海涛, 郭玉华, 曹宏, 张伟伟, 付飞. 水稻DH群体盐胁迫下苗高的主基因-多基因混合模型遗传分析. 华北农学报, 2011, 26(3):210-213. |
| SU Z, CHENG H T, GUO Y H, CAO H, ZHANG W W, FU F. Genetic analysis of seedling height of rice DH population under salt stress by using major genes plus polygenes mixed model. Acta Agriculturae Boreali-Sinica, 2011, 26(3):210-213. (in Chinese) | |
| [19] | 刘鹏飞, 周富亮, 梁思维, 蒋锋. 甜玉米茎秆强度性状的主基因+多基因遗传分析. 西北农林科技大学学报(自然科学版), 2020, 48(9):64-72+88. |
| LIU P F, ZHOU F L, LIANG S W, JIANG F. Mixed major genes and polygenes inheritance analyses for stem strength traits of sweet corn. Journal of Northwest A&F University (Natural Science Edition), 2020, 48(9):64-72+88. (in Chinese) | |
| [20] | 刘霞, 张冰冰, 马兵, 赵娜, 田正书, 秦梦凡, 王阳, 郎丽娜, 刘亚萍, 黄镇, 徐爱遐. 甘蓝型油菜株高及其相关性状的主基因+多基因遗传分析. 西北农业学报, 2018, 27(4):528-536. |
| LIU X, ZHANG B B, MA B, ZHAO N, TIAN Z S, QIN M F, WANG Y, LANG L N, LIU Y P, HUANG Z, XU A X. Mixed major gene plus poly-gene genetic analysis of plant height and its related traits in Brassica napus L. Acta Agriculturae Boreali-Occidentalis Sinica, 2018, 27(4):528-536. (in Chinese) | |
| [21] | 龚举武, 刘爱英, 李俊文, 姜骁, 段丽, 葛群, 邓晓英, 巩万奎, 石玉真, 商海红, 陈全家, 耿洪伟, 袁有禄. 陆地棉衣分性状的主基因-多基因遗传分析. 棉花学报, 2019, 31(3):192-200. |
| GONG J W, LIU A Y, LI J W, JIANG X, DUAN L, GE Q, DENG X Y, GONG W K, SHI Y Z, SHANG H H, CHEN Q J, GENG H W, YUAN Y L. Major gene plus polygene genetic analysis of lint percent in upland cotton. Cotton Science, 2019, 31(3):192-200. (in Chinese) | |
| [22] | 吕亮杰, 郭元世, 杜丽杰, 吕超, 张新忠, 郭宝健, 许如根. 大麦籽粒淀粉含量的主基因+多基因遗传模型分析. 麦类作物学报, 2014, 34(1):13-22. |
| LÜ L J, GUO Y S, DU L J, LÜ C, ZHANG X Z, GUO B J, XU R G. Major genes plus polygenes mixed inheritance model for starch contents in barley seed. Journal of Triticeae Crops, 2014, 34(1):13-22. (in Chinese) | |
| [23] | 杜成章, 龙珏臣, 龚万灼, 朱振东, 宗绪晓, 张继君. 蚕豆赤斑病抗性的主基因+多基因遗传分析. 植物保护, 2019, 45(6):131-137. |
| DU C Z, LONG J C, GONG W Z, ZHU Z D, ZONG X X, ZHANG J J. Analysis of major genes plus polygenes mixed inheritance for resistance to chocolate spot on faba bean. Plant Protection, 2019, 45(6):131-137. (in Chinese) | |
| [24] |
SUN X R, LIU L, ZHI X N, BAI J R, CUI Y N, SHU J H, LI J M. Genetic analysis of tomato internode length via mixed major gene plus polygene inheritance model. Scientia Horticulturae, 2019, 246:759-764.
doi: 10.1016/j.scienta.2018.11.044 |
| [25] | 张兴伟, 王志德, 刘艳华, 任民, 杨洋. 植物数量性状“主基因+多基因”混合遗传模型及其在烟草上的应用. 中国烟草学报, 2013, 19(3):41-44. |
| ZHANG X W, WANG Z D, LIU Y H, REN M, YANG Y. Major gene plus polygene mixed genetic model in quantitative characters and its application in tobacco. Acta Tabacaria Sinica, 2013, 19(3):41-44. (in Chinese) | |
| [26] |
SHEN P, GAO S P, CHEN X, LEI T, LI W J, HUANG Y X, LI Y R, JIANG M Y, HU D, DUAN Y F, LI M, LI J N. Genetic analysis of main flower characteristics in the F1 generation derived from intraspecific hybridization between Plumbago auriculata and Plumbago auriculata f. alba. Scientia Horticulturae, 2020, 274:109652.
doi: 10.1016/j.scienta.2020.109652 |
| [27] | 龚举武, 刘爱英, 段丽, 姜骁, 李俊文, 邓晓英, 葛群, 巩万奎, 石玉真, 商海红, 陈全家, 耿洪伟, 袁有禄. 不同环境下‘中棉所70’RIL群体棉铃重的主基因+多基因遗传分析. 中国农学通报, 2019, 35(15):128-137. |
| GONG J W, LIU A Y, DUAN L, JIANG X, LI J W, DENG X Y, GE Q, GONG W K, SHI Y Z, SHANG H H, CHEN Q J, GENG H W, YUAN Y L. Major gene + polygene genetic analysis of boll weight in RIL population of 'CCRI70' under various environments. Chinese Agricultural Science Bulletin, 2019, 35(15):128-137. (in Chinese) | |
| [28] | 陆平. 谷子种质资源描述规范和数据标准. 北京: 中国农业出版社, 2006. |
| LU P. Descriptors and data standard for foxtail millet germplasm resources. Beijing: China Agriculture Press, 2006. (in Chinese) | |
| [29] |
HISATO M, HIROKI T, YOHEI M, RYOHEI T, KENJI F. Genetic analysis of NEKODE1 gene involved in panicle branching of foxtail millet, Setaria italica (L.) P. Beauv., and mapping by using QTL-seq. Molecular Breeding, 2016, 36(5):59.
doi: 10.1007/s11032-016-0481-z |
| [30] |
SARIKA G, KAJAL K, MEHANATHAN M, Swarup Kumar P, Manoj P. Population structure and association mapping of yield contributing agronomic traits in foxtail millet. Plant Cell Reports, 2014, 33(6):881-893.
doi: 10.1007/s00299-014-1564-0 |
| [31] | 曹锡文, 刘兵, 章元明. 植物数量性状分离分析Windows软件包SEA的研制. 南京农业大学学报, 2013, 36(6):1-6. |
| CAO X W, LIU B, ZHANG Y M. SEA:a software package of segregation analysis of quantitative traits in plants. Journal of Nanjing Agricultural University, 2013, 36(6):1-6. (in Chinese) | |
| [32] |
崔月, 陆建农, 施玉珍, 殷学贵, 张启好. 蓖麻株高性状主基因+多基因遗传分析. 作物学报, 2019, 45(7):1111-1118.
doi: 10.3724/SP.J.1006.2019.84127 |
|
CUI Y, LU J N, SHI Y Z, YIN X G, ZHANG Q H. Genetic analysis of plant height related traits in Ricinus communis L. with major gene plus polygenes mixed model. Acta Agronomica Sinica, 2019, 45(7):1111-1118. (in Chinese)
doi: 10.3724/SP.J.1006.2019.84127 |
|
| [33] | 方路斌, 罗河月, 陈洁, 李平. 谷子主要农艺性状的相关和主成分分析. 天津农业科学, 2018, 24(11):62-65. |
| FANG L B, LUO H Y, CHEN J, LI P. Correlation analysis and principal component analysis on major agronomic characters of millet. Tianjin Agricultural Sciences, 2018, 24(11):62-65. (in Chinese) | |
| [34] | 李晓宇, 王昆鹏, 刘迎春, 张一波. 谷子主要农艺性状分析. 内蒙古农业大学学报(自然科学版), 2015, 36(2):26-30. |
| LI X Y, WANG K P, LIU Y C, ZHANG Y B. Analysis on the agronomic traits of millet. Journal of Inner Mongolia Agricultural University(Natural Science Edition), 2015, 36(2):26-30. (in Chinese) | |
| [35] |
王海岗, 贾冠清, 智慧, 温琪汾, 董俊丽, 陈凌, 王君杰, 曹晓宁, 刘思辰, 王纶, 乔治军, 刁现民. 谷子核心种质表型遗传多样性分析及综合评价. 作物学报, 2016, 42(1):19-30.
doi: 10.3724/SP.J.1006.2016.00019 |
|
WANG H G, JIA G Q, ZHI H, WEN Q F, DONG J L, CHEN L, WANG J J, CAO X Y, LIU S C, WANG L, QIAO Z J, DIAO X M. Phenotypic diversity evaluations of foxtail millet core collections. Acta Agronomica Sinica, 2016, 42(1):19-30. (in Chinese)
doi: 10.3724/SP.J.1006.2016.00019 |
|
| [36] |
HE Q, ZHI H, TANG S, XING L, WANG S Y, WANG H G, ZHANG A Y, LI Y H, GAO M, ZHANG H J, CHEN G Q, DAI S T, LI J X, YANG J J, LIU H F, ZHANG W, JIA Y C, LI S J, LIU J R, QIAO Z J, GUO E H, JIA G Q, LIU J, DIAO X M. QTL mapping for foxtail millet plant height in multi-environment using an ultra-high density bin map. Theoretical and applied genetics, 2020, 134(2):1-16.
doi: 10.1007/s00122-020-03709-7 |
| [37] | 白晓倩, 卢华雨, 于澎湃, 裴忠有, 罗峰, 孙守钧. 粒用高粱×苏丹草杂交F2代农艺性状的数量遗传分析. 江苏农业科学, 2019, 47(19):188-193. |
| BAI X Q, LU H Y, YU P P, PEI Z Y, LUO F, SUN S J. Quantitative analysis of agronomic traits of Sorghum × Sudangrass F2 generation. Jiangsu Agricultural Sciences, 2019, 47(19):188-193. (in Chinese) | |
| [38] | 王铁固, 马娟, 张怀胜, 陈士林. 玉米株高主基因+多基因遗传模型分析. 玉米科学, 2012, 20(4):45-49. |
| WANG T G, MA J, ZHANG H S, CHEN S L. Genetic analysis on plant height by mixed inheritance model of major genes plus polygenes in maize. Journal of Maize Sciences, 2012, 20(4):45-49. (in Chinese) | |
| [39] |
VANDANA J, SARIKA G, VIJAY G, MEHANATHAN M, TIRTHANKAR B, NIRALA R, MANOJ P. Genome-wide association study of major agronomic traits in foxtail millet (Setaria italica L.) using ddRAD sequencing. Scientific Reports, 2019, 9:5020.
doi: 10.1038/s41598-019-41602-6 |
| [40] | ZHANG K, FAN G Y, ZHANG X X, ZHAO F, WEI W, DU G H, FENG X L, WANG X M, WANG F, SONG G L, ZOU H F, ZHANG X L, LI S D, NI X M, ZHANG G Y, ZHAO Z H. Identification of QTLs for 14 agronomically important traits in Setaria italica based on SNPs generated from high-throughput sequencing. G3- Genes Genomes Genetics, 2017, 7(5):1587-1594. |
| [41] | 杜希朋, 闫媛媛, 刘伟华, 高爱农, 张锦鹏, 李秀全, 杨欣明, 车永和, 郭小敏. 蚂蚱麦×碧玉麦杂交F2代部分重要农艺性状的遗传分析. 麦类作物学报, 2011, 31(4):624-629. |
| DU X P, YAN Y Y, LIU W H, GAO A N, ZHANG J P, LI X Q, YANG X M, CHE Y H, GUO X M. Genetic analysis on several important agronomic traits in F2 generation of Mazhamai×Quality. Journal of Triticeae Crops, 2011, 31(4):624-629. (in Chinese) | |
| [42] |
解松峰, 吉万全, 张耀元, 张俊杰, 胡卫国, 李俊, 王长有, 张宏, 陈春环. 小麦重要产量性状的主基因+多基因混合遗传分析. 作物学报, 2020, 46(3):365-384.
doi: 10.3724/SP.J.1006.2020.91044 |
|
XIE S F, JI W Q, ZHANG Y Y, ZHANG J J, HU W G, LI J, WANG C Y, ZHANG H, CHEN C H. Genetic effects of important yield traits analysed by mixture model of major gene plus polygene in wheat. Acta Agronomica Sinica, 2020, 46(3):365-384. (in Chinese)
doi: 10.3724/SP.J.1006.2020.91044 |
|
| [43] | WANG Z L, WANG J, PENG J X, DU X F, JIANG M S, LI Y F, HAN F, DU G H, YANG H Q, LIAN S C, YONG J P, CAI W, CUI J D, HAN K N, YUAN F, CHANG F, YUAN G B, ZHANG W N, ZHANG L Y, PENG S Z, ZOU H F, GUO E H. QTL mapping for 11 agronomic traits based on a genome-wide Bin-map in a large F2 population of foxtail millet (Setaria italica (L.) P. Beauv). Springer Netherlands, 2019, 39:18. |
| [44] |
ZHI H, HE Q, TANG S, YANG J J, ZHANG W, LIU H, JIA Y C, JIA G Q, ZHANG A Y, LI Y H, GUO E H, GAO M, LI S J, LI J X, QIN N, ZHU C C, MA C Y, ZHANG H J, CHEN G Q, ZHANG W F, WANG H G, QIAO Z J, LI S G, CHENG R H, XING L, WANG S Y, LIU J R, LIU J, DIAO X M. Genetic control and phenotypic characterization of panicle architecture and grain yield-related traits in foxtail millet (Setaria italica). Theoretical and Applied Genetics, 2021, 134(9):1-14.
doi: 10.1007/s00122-020-03709-7 |
| [45] | 杨坤. 谷子SSR标记连锁图谱构建及几个主要性状QTL分析[D]. 石家庄: 河北师范大学, 2008. |
| YANG K. Construction of SSR based linkage map and QTL analysis of several important traits in foxtail millet, Setaria italica Beauv[D]. Shijiazhuang: Hebei Normal University, 2008. (in Chinese) | |
| [46] |
WANG J, WANG Z L, DU X F, YANG H Q, HAN F, HAN Y H, YUAN F, ZHANG L Y, PENG S Z, GUO E H. A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica (L.) P. Beauv.] using RAD-seq. PLoS ONE, 2017, 12:e0179717.
doi: 10.1371/journal.pone.0179717 |
| [47] |
FANG X M, DONG K J, WANG X Q, LIU T P, HE J H, REN R Y, ZHANG L, LIU R, LIU X Y, LI M, HUANG M Z, ZHANG Z S, YANG T Y. A high density genetic map and QTL for agronomic and yield traits in foxtail millet [ Setaria italica (L.) P. Beauv.]. BMC Genomics, 2016, 17:336.
doi: 10.1186/s12864-016-2628-z |
| [48] |
LIU T P, HE J H, DONG K J, WANG X W, WANG W W, YANG P, REN R Y, ZHANG L, ZHANG Z S, YANG T Y. QTL mapping of yield component traits on bin map generated from resequencing a RIL population of foxtail millet (Setaria italica). BMC Genomics, 2020, 21:141.
doi: 10.1186/s12864-020-6553-9 |
| [49] | 姚金保, 任丽娟, 张平平, 杨学明, 马鸿翔, 姚国才, 张鹏, 周淼平. 小麦株高及其构成因素的遗传及相关性分析. 麦类作物学报, 2011, 31(4):604-610. |
| YAO J B, REN L J, ZHANG P P, YANG X M, MA H X, YAO G C, ZHANG P, ZHOU M P. Genetic and correlation analysis of plant height and its components in wheat. Journal of Triticeae Crops, 2011, 31(4):604-610. (in Chinese) | |
| [50] | 杨兆生, 阎素红, 王俊娟. 不同种植方式下小麦株高构成因素的相关研究. 麦类作物学报, 1999(4):19-22. |
| YANG Z S, YAN S H, WANG J J. Study on components of wheat plant height under different planting patterns. Journal of Triticeae Crops, 1999(4):19-22. (in Chinese) | |
| [51] | 赵万春, 王红. 小麦株高及其构成因素的遗传和相关性研究. 麦类作物学报, 2003(4):28-31. |
| ZHAO W C, WANG H. Genetic and correlation study on plant height and its components in wheat. Journal of Triticeae Crops, 2003(4):28-31. (in Chinese) |
| [1] | 吴媛媛, 吕书文, 张子君, 王涛, 张逸鸣, 卜令超, 邹庆道, 姜晶. 番茄果实果脐大小性状主基因+多基因遗传分析[J]. 中国农业科学, 2026, 59(5): 1060-1069. |
| [2] | 张义茹, 韩雪, 姚鑫杰, 冯军, 魏爱丽, 李文超, 张彬, 韩渊怀, 李红英. 基于多组学解析谷子后熟米色变化的分子机制[J]. 中国农业科学, 2025, 58(9): 1702-1718. |
| [3] | 陈冰嬬, 唐玉劼, 张丽霞, 周宇飞, 于淼, 石贵山, 王新鼎, 李扬, 高士杰, 陆晓春, 王鼐, 刁现民. 中国粒用杂交高粱的绿色革命[J]. 中国农业科学, 2025, 58(8): 1494-1507. |
| [4] | 李明, 程宇坤, 白斌, 雷斌, 耿洪伟. 冬小麦穗部性状GWAS分析及优异单倍型筛选[J]. 中国农业科学, 2025, 58(18): 3583-3597. |
| [5] | 贾玉静, 李超男, 潘志雄, 杨德龙, 毛新国, 景蕊莲. 小麦TaTIFY11c-4A的克隆及遗传效应分析[J]. 中国农业科学, 2025, 58(17): 3357-3371. |
| [6] | 向爱慧, 白荣基, 郝宇琼, 赵佳佳, 武棒棒, 李晓华, 郑兴卫, 关攀锋, 郑军. 山西小麦矮秆基因的鉴定及株高遗传位点挖掘[J]. 中国农业科学, 2025, 58(17): 3372-3388. |
| [7] | 周浩露, 申朝阳, 罗新宇, 黄英惠, 王可心, 王云浩, 高小丽. 氮肥对垄沟集雨种植谷子氮素利用效率及产量的影响[J]. 中国农业科学, 2024, 57(5): 885-899. |
| [8] | 杜艳伟, 阎晓光, 赵晋锋, 贾苏卿, 王高鸿, 余爱丽, 张鹏. 谷子SiCIPK21的克隆及功能分析[J]. 中国农业科学, 2024, 57(22): 4416-4430. |
| [9] | 张建龙, 邢文文, 叶绍波, 张超, 郑德聪. 基于双输出回归卷积神经网络的燕麦株高估测研究[J]. 中国农业科学, 2024, 57(20): 3974-3985. |
| [10] | 董二伟, 王媛, 王劲松, 刘秋霞, 黄晓磊, 焦晓燕. 施氮量对谷子产量、氮素利用及小米品质的影响[J]. 中国农业科学, 2024, 57(2): 306-318. |
| [11] | 叶雪莲, 陈靖雯, 姚祥坦, 权新华, 黄鹂. 不结球白菜叶片皱缩性状的遗传分析[J]. 中国农业科学, 2024, 57(18): 3684-3694. |
| [12] | 刘得隆, 李世如, 王传星, 郭淑青, 马智秀, 武泳江, 韩慧冰, 李玉洁, 张盼盼, 杨璞. 谷子不同发育时期株高性状的变化及动态QTL定位[J]. 中国农业科学, 2024, 57(18): 3533-3550. |
| [13] | 李儒香, 周恺, 王大川, 李巧龙, 向奥妮, 李璐, 李苗苗, 向思茜, 凌英华, 何光华, 赵芳明. 水稻CSSL-Z481代换片段携带的穗部性状QTL分析及次级代换系培育[J]. 中国农业科学, 2023, 56(7): 1228-1247. |
| [14] | 周文期, 张贺通, 何海军, 龚佃明, 杨彦忠, 刘忠祥, 李永生, 王晓娟, 连晓荣, 周玉乾, 邱法展. 调控玉米株高和穗位高候选基因Zmdle1的定位[J]. 中国农业科学, 2023, 56(5): 821-837. |
| [15] | 秦娜, 付森杰, 朱灿灿, 代书桃, 宋迎辉, 魏昕, 王春义, 叶珍言, 李君霞. 谷子苗期耐低氮相关性状的QTL分析[J]. 中国农业科学, 2023, 56(20): 3931-3945. |
|
||