机构地区:[1]新疆农业大学农学院,新疆乌鲁木齐830052
出 处:《作物学报》2023年第3期622-633,共12页Acta Agronomica Sinica
基 金:国家自然科学基金项目(U2003304,32060484,32001561);自治区天山青年优秀青年科技人才培养项目(2018Q019);新疆自然科学基金项目(2019D01A41);博士后面上项目(2018M643774);新疆主要作物生物育种创新工程(一)——玉米生物育种创新工程项目(2021A02001-2);新疆玉米绿色丰产提质增效技术优化集成及应用项目(2021B02002-2-2)资助。
摘 要:雄穗大小影响玉米光合作用合成的养分分配,进而影响雌穗发育以及由此决定的穗行数、行粒数、结实率、百粒重等产量构成因素。本研究用优良自交系郑58和B73构建的F_(2:3)家系诱导单倍体,通过48K液相杂交探针捕获技术获得基因型,结合多环境单倍体表型数据,对雄穗相关性状采用完备区间作图法(inclusive composite interval mapping,ICIM)进行QTL(quantitative trait locus)定位,采用(ridge regression best linear unbiased prediction,RRBLUP)模型探索全基因组选择中训练群体大小及SNP标记数目对预测精度的影响。结果表明,雄穗主轴长、一级分枝数、二级分枝数和总分枝数遗传力分别为0.82、0.88、0.84和0.88。雄穗主轴长检测到2个QTL,分别位于bin1.03和bin4.09,表型贡献率为6.02%和11.10%。一级分枝数检测到2个QTL,分别位于bin1.05和bin4.05,表型贡献率为9.17%和11.75%。二级分枝检测到2个QTL,分别位于bin2.03和bin3.06,表型贡献率为5.51%和5.65%。总分枝数检测到2个QTL,分别位于bin1.04和bin4.05,表型贡献率为9.37%和10.83%。其中,一级分枝数和总分枝数在bin4.05定位到了一个相同位点,一因多效。全基因组选择五倍交叉验证的预测精度分别为0.36、0.41、0.28、0.38。当训练群体达到总群体60%时,标记密度达到500个时,即可以得到较高的预测精度。Tassel size affects the nutrient allocation synthesized by photosynthesis in maize,which in turn affects ears development and the yield components,such as kernel rows,kernel number per row,seeding rate,and kernels weight per one hundred.In this study,haploids were induced using the F_(2:3)families,which were constructed from the elite inbred lines Zheng 58 and B73.Genotypes were obtained by 48K liquid phase hybridization capture probes technique,and phenotypes were evaluated in multi-environment trails.QTL mapping was performed using the inclusive composite interval mapping(ICIM)method.The RRBLUP model was used for genomic selection to explore the effects of training population size and the number of SNP markers on prediction accuracy.The results showed that the heritabilities of tassel length,tassel primary branch number,tassel secondary branch number,and tassel branch number were 0.82,0.88,0.84,and 0.88,respectively.Two QTL,located in bins 1.03 and 4.09,were detected for tassel length with phenotypic variation explained(PVE)of 6.02%and 11.10%,respectively.Two QTL,located in bins 1.05 and 4.05,were detected for tassel primary branch with PVE of 9.17%and 11.75%,respectively.Two QTL,located in bins 2.03 and 3.06,were detected for the tassel secondary branch with PVE of 5.51%and 5.65%,respectively.Two QTLs,located in bins 1.04 and 4.05,were detected for the tassel branch number with PVE of 9.37%and 10.83%,respectively.Tassel primary branch number and tassel branch number identified a same QTL located in bin 4.05 with multiple effects.The prediction accuracy of five-fold cross-validation for genomic selection was 0.36,0.41,0.28,and 0.37,respectively.When the training population reached 60%of the total population and the marker density reached 500,a high prediction accuracy could be obtained.
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