• Chinese Core Journal
  • Chinese Science Citation Database (CSCD) Source journal
  • Journal of Citation Report of Chinese S&T Journals (Core Edition)
DAI Fen, CHE Xinxin, PENG Siran, YANG Xiaofan, ZHONG Yangsheng, LI Zhen, LV Shilei. Fast and nondestructive gender detection of Bombyx mori chrysalis in the cocoon based on near infrared transmission spectroscopy[J]. Journal of South China Agricultural University, 2018, 39(2): 103-109. DOI: 10.7671/j.issn.1001-411X.2018.02.016
Citation: DAI Fen, CHE Xinxin, PENG Siran, YANG Xiaofan, ZHONG Yangsheng, LI Zhen, LV Shilei. Fast and nondestructive gender detection of Bombyx mori chrysalis in the cocoon based on near infrared transmission spectroscopy[J]. Journal of South China Agricultural University, 2018, 39(2): 103-109. DOI: 10.7671/j.issn.1001-411X.2018.02.016

Fast and nondestructive gender detection of Bombyx mori chrysalis in the cocoon based on near infrared transmission spectroscopy

More Information
  • Received Date: July 22, 2017
  • Available Online: May 17, 2023
  • Objective 

    To identify the gender of Bombyx mori chrysalis in the cocoon by rapid and non-destructive method based on near infrared transmission spectroscopy, improve breeding efficiency and reduce labor cost.

    Method 

    We used four silkworm varieties including Fu 9, 9 Fu, Xiang 7 and 7 Xiang, and compared their diffuse transmission spectra between 450-950 nm and 900-1700 nm. Partial least squares discrimination analysis (PLSDA), back propagation neural network (BPNN) and support vector machine (SVM) discrimination models were established and compared among different varieties. The robustness of the models was studied through the receiver operating characteristic(ROC) curve. Characteristic wavelengths were extracted by difference method and genetic algorithm.

    Result 

    The identification accuracy rates for Fu 9, 9 Fu, Xiang 7 and 7 Xiang varieties were 95.20%, 95.65%, 88.80% and 87.50% respectively using 450-950 nm spectra, and were 100%, 96.00%, 92.22% and 94.21% respectively using 900-1 700 nm spectra. Using PLSDA, BPNN and SVM models resulted in good identification of male and female silkworm pupae, the true female rates were 95.96%, 95.83% and 100%, the true male rates were 98.98%, 96.04% and 82.18%, and the accuracy rates were 97.46%, 95.94% and 90.86%, respectively. Based on the analysis of ROC curve, the PLSDA model was the optimal, followed by the BPNN model. Twenty bands were extracted manually as the equipment input, and the true female rate, true male rate and accuracy rate were 93.75%, 95.45% and 94.57% respectively based on the PLSDA model.

    Conclusion 

    Diffuse transmission spectra in the near infrared (900-1 700 nm) contains more classification information of male and female pupae compared with the visible-near infrared (450-950 nm). The PLSDA model is the optimal one among three models. After extracting the characristic bands, the accuracy rate can meet the requirements of actual production.

  • [1]
    代芬, 吴玲, 叶观燕, 等. 基于近红外漫透射光谱信息的蚕茧雌雄检测[J]. 农业机械学报, 2015, 46(12): 280-283.
    [2]
    封槐松, 李建琴. 我国蚕桑产业发展 “十二五” 回顾与 “十三五” 展望[J]. 中国蚕业, 2016, 37(1): 4-10.
    [3]
    顾国达, 徐俊良. 论我国蚕丝业的多中心起源[J]. 浙江大学学报(人文社会科学版), 2003, 33(3): 42-47.
    [4]
    顾国达, 李建琴. 2012年蚕桑产业发展趋势与建议[J]. 中国蚕业, 2012, 33(1): 1-4.
    [5]
    李建琴, 顾国达. “一带一路” 对中国蚕丝业发展的战略意义[J]. 中国蚕业, 2015, 36(4): 1-7.
    [6]
    潘沈元, 金同铭, 陆国权, 等. 蚕茧近红外反射光谱的模式识别[J]. 生物物理学报, 1995, 11(1): 53-59.
    [7]
    潘沈元. 蚕茧近红外反射光谱的模式识别II. 光谱识别中特征值选取方法的探讨[J]. 生物物理学报, 1998, 14(2): 252-256.
    [8]
    潘沈元, 陶鸣, 孙爱群, 等. 雌雄蚕蛹近红外反射光谱的差异及其模式识别[J]. 昆虫学报, 1996, 39(4): 360-365.
    [9]
    MARTEL A, BURGHAMMER M, DAVIES R J, et al. Silk fiber assembly studied by synchrotron radiation SAXS/WAXS and raman spectroscopy[J]. J Am Chem Soc, 2008, 130(50): 17070-17074.
    [10]
    刘桂花, 张中湖. 拉曼与近红外、中红外光谱在药品掺杂筛选应用中的前景分析[J]. 齐鲁药事, 2012, 31(11): 634-635.
    [11]
    LEFEVRE T, PAQUET-MERCIER F, LESAGE S, et al. Study by raman spectromicroscopy of the effect of tensile deformation on the molecular structure of Bombyx mori silk[J]. Vib Spectrosc, 2009, 51(1): 136-141.
    [12]
    金航峰. 基于光谱和高光谱图像技术的蚕茧品质无损检测研究[D]. 杭州: 浙江大学, 2013.
    [13]
    颜辉, 陈斌, 金尚忠. 基于NIR的主成分结合支持向量机鉴别蚕茧雌雄的研究[J]. 计算机与应用化学, 2008, 25(10): 1261-1264.
    [14]
    SHAFFER R E, SMALL G W, ARNOLD M A. Genetic algorithm-based protocol for coupling digital filtering and partial least-squares regression: Application to the near-infrared analysis of glucose in biological matrices[J]. Anal Chem, 1996, 68(15): 2663-2675.
    [15]
    DELWICHE S R, HARELAND G A. Detection of scab-damaged red spring wheat kernels by near-infrared reflectance[J]. Cereal Chem, 2004, 81(5): 643-649.
    [16]
    CHRISTY A A, KASEMSUMRAN S, DU Y, et al. The detection and quantification of adulteration in olive oil by near-infrared spectroscopy and chemometrics[J]. Anal Sci, 2004, 20(6): 935-940.
    [17]
    BERARDO N, PISACANE V, BATTILANI P, et al. Rapid detection of kernel rots and mycotoxins in maize by near-infrared reflectance spectroscopy[J]. J Agr Food Chem, 2005, 53(21): 8128-8134.
    [18]
    BERGHOLT M S, ZHENG W, LIN K, et al. Raman endoscopy for in vivo differentiation between benign and malignant ulcers in the stomach[J]. Analyst, 2010, 135(12): 3162-3168.
  • Related Articles

    [1]YANG Weifeng, ZHAN Penglin, LIN Shaojun, GOU Yajun, ZHANG Guiquan, WANG Shaokui. Research progress of grain shape genetics in rice[J]. Journal of South China Agricultural University, 2019, 40(5): 203-210. DOI: 10.7671/j.issn.1001-411X.201905081
    [2]LIN Xin, WU Linxuan, WANG Hui, LIU Yongzhu, CHEN Zhiqiang, HUANG Ming. Analysis on panicle trait combining ability and heritability of rice two-line sterile line ‘M20S’[J]. Journal of South China Agricultural University, 2019, 40(1): 8-14. DOI: 10.7671/j.issn.1001-411X.201804027
    [3]YANG Cailing, LIU Lilong, ZHAO Quan, WU Longmei, CHEN Dewei, XU Shihong, HUANG Min, JIANG Ligen. The influence of soil moisture on plant growth and grain yield in no-tillage rice[J]. Journal of South China Agricultural University, 2015, 36(3): 26-31. DOI: 10.7671/j.issn.1001-411X.2015.03.005
    [4]HUANG Yongxiang, GUO Tao, LI Wei, JIANG Shihe, CHEN Zhiqiang, GUO Jianfu. Analysis of Percentage of Productive Tiller in Rice by the Genetic Model “Major Gene Plus Polygene”[J]. Journal of South China Agricultural University, 2013, 34(3): 300-303. DOI: 10.7671/j.issn.1001-411X.2013.03.004
    [5]CHEN Xiao-rong, CHEN Zhi-bin, HE Hao-hua, ZHU Chang-lan, PENG Xiao-song, HE Xiao-peng, FU Jun-ru, OUYANG Lin-juan. Genetic Analysis of Grain Mass Per Panicle and 1000-Grain Mass in Rice[J]. Journal of South China Agricultural University, 2012, 33(1): 5-10. DOI: 10.7671/j.issn.1001-411X.2012.01.002
    [6]ZHANG Zhao-guo,LI Jia-min,SUN Yong,SHEN De-chao. Influence of Pretreatment Technology on the Residual Oil Ratio of Rapeseed[J]. Journal of South China Agricultural University, 2007, 28(4): 105-107. DOI: 10.7671/j.issn.1001-411X.2007.04.025
    [7]LI Ya-juan,FANG San-hu,LU Yong-gen,LI Jin-quan,LIU Xiang-dong. Genetic Effects of Directional Selection on Seed Setting Rate in Hybrids Offspring of Autotetraploid Rice[J]. Journal of South China Agricultural University, 2007, 28(4): 30-33. DOI: 10.7671/j.issn.1001-411X.2007.04.008
    [8]CAI Kun-zheng,LUO Shi-ming,DUAN Shun-shan. The Response of Rice Root System to Different Light Intensity After Root Confinement[J]. Journal of South China Agricultural University, 2007, 28(1): 1-5. DOI: 10.7671/j.issn.1001-411X.2007.01.001
    [9]BAO Ling-feng,LIN Gang,ZHAO De-ming,ZENG Jian,HUO Bing. Analysis of Yield Combination Ability for Rice Cytoplasmic Male Sterile Line Yixiang1 A and Its Scent Inheritance[J]. Journal of South China Agricultural University, 2006, 27(3): 6-8. DOI: 10.7671/j.issn.1001-411X.2006.03.002
    [10]Huang Shaowei\ \ Zhong Weihua. USAGE OF ESTIMATION OF SINGLE TREE HERITABILITY WITH PLOT MEANS[J]. Journal of South China Agricultural University, 1998, (1): 76-81.

Catalog

    Article views (1471) PDF downloads (1740) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return