《Table 2–Pearson coefficients of correlation between traits in training population, calculated with
本系列图表出处文件名:随高清版一同展现
《Use of genomic selection and breeding simulation in cross prediction for improvement of yield and quality in wheat(Triticum aestivum L.)》
TKW,thousand-kernel weight;SP,spike number;KN,kernel number;HD,heading date;PH,plant height;PC,protein content;EA,extension area;EXT,extensibility;MR,maximum resistance;ST,stability time;,,and,significant at the 0.05,0.01,and 0.001 pro
A wheat population was constructed from 48 high quality and three high-yielding cultivars or advanced lines bred in China and six high-quality cultivars from the U.S and Australia.Names and origins of the 57 wheat fixed lines are presented in Supplementary Table S1.For phenotyping,the 57wheat fixed lines were evaluated in two locations:Jining,Shandong province,and Gaoyi,Hebei province in two seasons from 2013 to 2015,using randomized complete block designs.Each trial had two replications,each of 6 rows 4 m in length and 0.2 m in width for each plot.Yield and thousand-kernel weight were evaluated in both seasons.Other yield components and agronomic traits including spike number,kernel number,heading date,and plant height were evaluated in Jining and Gaoyi only in the 2013–2014 season[32].
图表编号 | XD0012326900 严禁用于非法目的 |
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绘制时间 | 2018.08.01 |
作者 | Ji Yao、Dehui Zhao、Xinmin Chen、Yong Zhang、Jiankang Wang |
绘制单位 | The National Key Facility for Crop Gene Resources and Genetic Improvement, National Wheat Improvement Center, Institute of Crop Sciences,Academy of Agricultural Sciences、The National Key Facility for Crop Gene Resources and Genetic Improvement, National W |
更多格式 | 高清、无水印(增值服务) |