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[2]基于全透射近红外光谱的西瓜不同部位可溶性固形物含量在线检测研究. 严忠伟,田喜,张艺飞,李廉洁,刘三庆,黄文倩. 2023

[3]自适应蚁群优化算法的近红外光谱特征波长选择方法. 郭志明,黄文倩,彭彦昆,王秀,汤修映. 2014

[4]基于LVF-NIR的樱桃可溶性固形物含量无损速测模型的建立与优化. 王冬,张鹤冬,朱业伟,汪军,曹江娜,韩平. 2020

[5]基于数字光处理技术的梨可溶性固形物含量的无损速测研究. 王冬,王世芳,罗娜,朱业伟,韩平,卢娜. 2018

[6]以高光谱数据有效预测苹果可溶性固形物含量. 黄文倩,李江波,陈立平,郭志明. 2013

[7]鲜食枣新品种'京枣60'. 潘青华,张玉平,白金,金万梅,李少宁. 2012

[8]近红外光谱变量选择及其在苹果可溶性固形物含量无损速测中的应用. 张鹤冬,吴静珠,韩平,王纪华,王冬. 2019

[9]樱桃多品质数据分析与无损快速检测模型的建立. 王冬,孙俊鹏,于世锋,李菁,邱孟超,韩平,王世芳. 2021

[10]两种近红外光谱仪的番茄可溶性固形物含量定量模型比较研究. 王冬,冯海智,李龙,韩平. 2023

[11]葡萄早熟新品种-瑞都香玉. 张国军. 2009

[12]近红外漫反射光谱预测久保桃可溶性固形物初步实验研究. 冯晓元,王宝刚,李文生,闫国华,张开春,姜微波. 2008

[13]早熟葡萄新品种"瑞都香玉". 徐海英. 2010

[14]无核葡萄新品种-瑞锋无核. 徐海英. 2006

[15]Allelic Variation at the TaZds-A1 Locus on Wheat Chromosome 2A and Development of a Functional Marker in Common Wheat. Dong Chang-hai,Ma Zhi-ying,Dong Chang-hai,Xia Xian-chun,Zhang Li-ping,He Zhong-hu,He Zhong-hu,Zhang Li-ping. 2012

[16]An integrated genetic map based on four mapping populations and quantitative trait loci associated with economically important traits in watermelon (Citrullus lanatus). Ren, Yi,Ren, Yi,Zhang, Yan,Gong, Guoyi,Zhang, Haiying,Guo, Shaogui,Sun, Honghe,Cai, Wantao,Zhang, Jie,Xu, Yong,McGregor, Cecilia,McGregor, Cecilia. 2014

[17]Genetic analysis and chromosome mapping of resistance to Fusarium oxysporum f. sp niveum (FON) race 1 and race 2 in watermelon (Citrullus lanatus L.). Ren, Yi,Jiao, Di,Gong, Guoyi,Zhang, Haiying,Guo, Shaogui,Zhang, Jie,Xu, Yong,Ren, Yi,Jiao, Di,Gong, Guoyi,Zhang, Haiying,Guo, Shaogui,Zhang, Jie,Xu, Yong,Ren, Yi,Jiao, Di,Gong, Guoyi,Zhang, Haiying,Guo, Shaogui,Zhang, Jie,Xu, Yong,Ren, Yi,Jiao, Di.

[18]Maize leaf temperature responses to drought: Thermal imaging and quantitative trait loci (QTL) mapping. Liu, Ya,Subhash, Chander,Yan, Jianbin,Li, Jiansheng,Liu, Ya,Zhao, Jiuran,Song, Chunpeng.

[19]小麦红叶耳基因的SSR标记定位分析. 池慧芳,张立平,赵昌平,韩冰,单福华,田再民,王为先. 2008

[20]小麦数量性状分子标记的研究进展. 杨文利,王立新,张钢民,马峙英,周丽艳. 2002