小麦穗部性状的主基因+多基因混合遗传模型分析
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解松峰,吉万全,王长有,胡卫国,李俊,张耀元,师晓曦,张俊杰,张宏,陈春环
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Genetic Analysis of Panicle Related Traits in Wheat with Major Gene Plus Polygenes Mixed Model
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SongFeng XIE,WanQuan JI,ChangYou WANG,WeiGuo HU,Jun LI,YaoYuan ZHANG,XiaoXi SHI,JunJie ZHANG,Hong ZHANG,ChunHuan CHEN
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表2 小麦重组自交系品冬34×Barran F8、F9群体穗部性状最佳遗传模型分离分析的极大似然函数MLV值和Akaike信息准则AIC值
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Table 2 Akaike information criterion(AIC) and Maximum likelihood values (MLV) of thirty-eight genetic models for panicle traits in joint segregation analysis on the F8, F9 population between Pindong34 and Barran
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| 环境Environment | a模型代码Model Code | b模型含义Implication of model | AIC值AIC value | 极大似然函数值log_Max_likelihood_value | 穗长
SL(cm) | 小穗数
SME | 单穗粒数GME | 小穗粒数GSE | 穗长
SL(cm) | 小穗数
SME | 单穗粒数GME | 小穗粒数GSE | | 2016SY | B-1-9 | 2MG-IE | 2008.766 | 2202.984 | 3630.920 | 568.647 | -1001.383 | -1098.492 | -1812.460 | -281.323 | | 2017SY | | 2042.412 | 1871.954 | 3892.716 | 836.451 | -1018.206 | -932.977 | -1943.358 | -415.226 | | 2017HY | | 2005.506 | 2264.683 | 3068.409 | -151.936 | -999.753 | -1129.341 | -1531.204 | 78.968 | | 2017SG | | 2280.090 | 2518.826 | 3905.365 | 831.225 | -1137.045 | -1256.413 | -1949.683 | -412.612 | | 平均值Average | 2084.194 | 2214.612 | 3624.353 | 521.097 | -1039.097 | -1104.306 | -1809.176 | -257.548 | | 2016SY | B-2-1 | PG-AI | 1991.08 | 2184.541 | 3649.384 | 554.133 | -990.540 | -1087.271 | -1819.692 | -272.066 | | 2017SY | | 2016.217 | 1855.786 | 3899.482 | 920.279 | -1003.108 | -922.893 | -1944.741 | -455.140 | | 2017HY | | 1965.160 | 2256.652 | 3074.416 | -88.404 | -977.58 | -1123.326 | -1532.208 | 49.202 | | 2017SG | | 2260.751 | 2507.815 | 3890.493 | 905.074 | -1125.375 | -1248.908 | -1940.246 | -447.537 | | 平均值Average | 2058.302 | 2201.199 | 3628.444 | 572.771 | -1024.151 | -1095.599 | -1809.222 | -281.385 | | 2016SY | E-2-5 | MX2-ER-A | 1993.659 | 2204.400 | 3631.760 | 557.823 | -990.83 | -1096.200 | -1809.880 | -272.911 | | 2017SY | | 2037.382 | 1872.533 | 3888.241 | 841.737 | -1012.691 | -930.267 | -1938.120 | -414.868 | | 2017HY | | 1975.250 | 2264.573 | 3074.295 | -155.919 | -981.625 | -1126.287 | -1531.147 | 83.960 | | 2017SG | | 2179.590 | 2509.166 | 3879.773 | 825.033 | -1083.795 | -1248.583 | -1933.887 | -406.517 | | 平均值Average | 2046.470 | 2212.668 | 3618.517 | 517.168 | -1017.235 | -1100.334 | -1803.259 | -252.584 | | 2016SY | E-2-6 | MX2-AE-A | 1984.375 | 2205.064 | 3681.667 | 558.402 | -986.188 | -1096.532 | -1834.834 | -273.201 | | 2017SY | | 2035.499 | 1870.327 | 3888.148 | 924.373 | -1011.749 | -929.163 | -1938.074 | -456.187 | | 2017HY | | 1964.365 | 2264.534 | 3076.497 | -156.411 | -976.183 | -1126.267 | -1532.248 | 84.206 | | 2017SG | | 2190.648 | 2510.324 | 3892.530 | 907.513 | -1089.324 | -1249.162 | -1940.265 | -447.756 | | 平均值Average | 2043.722 | 2212.562 | 3634.711 | 558.469 | -1015.861 | -1100.281 | -1811.355 | -273.235 | | 2016SY | E-2-7 | MX2-CE-A | 2008.310 | 2206.715 | 3681.548 | 558.968 | -999.155 | -1098.357 | -1835.774 | -274.484 | | 2017SY | | 2038.900 | 1871.419 | 3886.283 | 925.424 | -1014.450 | -930.710 | -1938.141 | -457.712 | | 2017HY | | 1992.014 | 2265.186 | 3074.897 | -157.747 | -991.007 | -1127.593 | -1532.449 | 83.874 | | 2017SG | | 2212.174 | 2508.126 | 3891.372 | 908.553 | -1101.087 | -1249.063 | -1940.686 | -449.276 | | 平均值Average | 2062.850 | 2212.862 | 3633.525 | 558.799 | -1026.425 | -1101.431 | -1811.763 | -274.400 | | 2016SY | F-1 | 3MG-AI | 1985.792 | 2203.003 | 3578.592 | 500.386 | -983.896 | -1092.501 | -1780.296 | -241.193 | | 2017SY | | 2050.987 | 1865.838 | 3896.524 | 837.993 | -1016.493 | -923.919 | -1939.262 | -409.997 | | 2017HY | | 1967.168 | 2268.794 | 3076.632 | -170.353 | -974.584 | -1125.397 | -1529.316 | 94.177 | | 2017SG | | 2164.521 | 2523.808 | 3889.178 | 812.895 | -1073.26 | -1252.904 | -1935.589 | -397.447 | | 平均值Average | 2042.117 | 2215.361 | 3610.232 | 495.230 | -1012.058 | -1098.68 | -1796.116 | -238.615 | | 2016SY | F-2 | 3MG-A | 2061.739 | 2303.912 | 3654.398 | 428.251 | -1025.870 | -1146.956 | -1822.199 | -209.126 | | 2017SY | | 2115.129 | 1856.02 | 3931.771 | 838.167 | -1052.565 | -923.01 | -1960.885 | -414.084 | | 2017HY | | 2116.900 | 2370.007 | 3175.847 | -166.145 | -1053.45 | -1180.003 | -1582.924 | 88.073 | | 2017SG | | 2263.549 | 2451.369 | 3917.213 | 822.204 | -1126.775 | -1220.685 | -1953.606 | -406.102 | | 平均值Average | 2139.329 | 2245.327 | 3669.807 | 480.619 | -1064.665 | -1117.663 | -1829.904 | -235.310 | | 2016SY | G-1 | MX3-AI-A | 1985.729 | 2203.538 | 3562.874 | 487.927 | -981.865 | -1090.769 | -1770.437 | -232.963 | | 2017SY | | | 2034.889 | 1869.268 | 3892.910 | 841.503 | -1006.444 | -923.634 | -1935.455 | -409.751 | | 2017HY | | | 1963.325 | 2267.739 | 3081.815 | -178.949 | -970.663 | -1122.870 | -1529.907 | 100.474 | | 2017SG | | | 2172.129 | 2518.193 | 3883.909 | 826.033 | -1075.064 | -1248.096 | -1930.954 | -402.017 | | 平均值Average | | 2039.018 | 2214.685 | 3605.377 | 494.128 | -1008.509 | -1096.342 | -1791.688 | -236.064 | | 2016SY | H-1 | 4MG-AI | 1804.726 | 2198.415 | 3572.438 | 572.548 | -891.363 | -1088.207 | -1775.219 | -275.274 | | 2017SY | | 2048.989 | 1873.771 | 3893.070 | 822.622 | -1013.495 | -925.885 | -1935.535 | -400.311 | | 2017HY | | 1960.836 | 2268.425 | 3079.402 | -244.665 | -969.418 | -1123.212 | -1528.701 | 133.332 | | 2017SG | | 2164.815 | 2518.811 | 3885.512 | 805.103 | -1071.407 | -1248.406 | -1931.756 | -391.552 | | 平均值Average | 1994.842 | 2214.856 | 3607.606 | 488.902 | -986.421 | -1096.428 | -1792.803 | -233.451 |
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