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[1] Wang Xin,徐一亿,徐扬,徐辰武.作物全基因组选择育种技术研究进展.生物技术通报,2024,40(3)1-13.
[2] Wang Xin,马莹,徐辰武,胡中立.基于不完全双列杂交设计的水稻农艺性状配合力基因组预测.中国水稻科学,2019,(4)331-337.
[3] Wang Xin,张振良,徐扬,李鹏程,张学才,徐辰武.Using genomic data to improve the estimation of general combining ability based on sparse partial diallel cross designs in maize.CROP JOURNAL,2020,8(5)819-829.
[4] Wang Xin,张振良,Yang Xu,李鹏程,张学才.Using genomic data to improve the estimation of general combining ability based on sparse partial diallel cross designs in maize.CROP JOURNAL,2020,8(5)819-829.
[5] Wang Xin,李兰芝,杨泽峰,郑兴飞,余四斌,徐辰武,胡中立.Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II.HEREDITY,2017,118(3)302-310.
[6] Wang Xin,Yang Xu,李鹏程,刘明阳,徐辰武,胡中立.Efficiency of linear selection index in predicting rice hybrid performance.MOLECULAR BREEDING,2019,39(6)
[7] Wang Xin,孙辉,胡中立,徐辰武.基因组选择方法研究进展.扬州大学学报（农业与生命科学版）,2018,39（1）61-67.
[8] Wang Xin,Yang Xu,胡中立,徐辰武.Genomic selection methods for crop improvement: Current status and prospects.CROP JOURNAL,2018,6(4)330-340.
[9] Wang Xin,杨泽峰,徐辰武.A comparison of genomic selection methods for breeding value prediction.SCIENCE BULLETIN,2015,60(10)925-935.
[10] Wang Xin,马莹,徐辰武,胡中立.基于不完全双列杂交设计的水稻农艺性状配合力基因组预测.中国水稻科学,2019,(4)331-337.

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