光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
Spectroscopy and Spectral Analysis
2015年
9期
2510-2515
,共6页
刘旭%贾仕强%王春英%刘哲%顾建成%翟伟%李绍明%张晓东%朱德海%黄华军%安冬
劉旭%賈仕彊%王春英%劉哲%顧建成%翟偉%李紹明%張曉東%硃德海%黃華軍%安鼕
류욱%가사강%왕춘영%류철%고건성%적위%리소명%장효동%주덕해%황화군%안동
玉米自交系%遗传距离%近红外光谱%品种鉴别模型
玉米自交繫%遺傳距離%近紅外光譜%品種鑒彆模型
옥미자교계%유전거리%근홍외광보%품충감별모형
Maize inbred lines%Genetic distance%NIR spectra%Identification model
从玉米自交系种子的遗传距离、近红外光谱距离、品种鉴别模型性能三方面进行分析,探索三者间的关系。采用三组(共15对)遗传关系远近不同的玉米自交系种子作为实验材料,通过简单重复序列(simple sequence repeats,SSR)标记计算自交系种子间的遗传距离;种子的近红外光谱经预处理后降维到主成分分析(principal component analysis,PCA)空间中,计算各个自交系种子样本中心点之间的欧氏距离,作为对应的近红外光谱距离;使用仿生模式识别方法建立鉴别模型,用模型的鉴别正确率评价模型的性能。分析结果表明,自交系种子间遗传距离与近红外光谱距离相关性为0.9868,与模型鉴别正确率的相关性为0.9110,相关性显著。说明近红外光谱可以反映出玉米自交系种子之间的遗传关系,遗传关系的远近影响品种鉴别模型的性能,遗传距离越小,近红外光谱距离越小,模型鉴别能力也越差。实际应用中有望利用近红外光谱技术分析玉米自交系的遗传关系,对遗传育种、品种识别、纯度分选等具有重要意义;且建立品种鉴别模型时,应充分考虑遗传关系较近的玉米自交系对模型性能的影响。
從玉米自交繫種子的遺傳距離、近紅外光譜距離、品種鑒彆模型性能三方麵進行分析,探索三者間的關繫。採用三組(共15對)遺傳關繫遠近不同的玉米自交繫種子作為實驗材料,通過簡單重複序列(simple sequence repeats,SSR)標記計算自交繫種子間的遺傳距離;種子的近紅外光譜經預處理後降維到主成分分析(principal component analysis,PCA)空間中,計算各箇自交繫種子樣本中心點之間的歐氏距離,作為對應的近紅外光譜距離;使用倣生模式識彆方法建立鑒彆模型,用模型的鑒彆正確率評價模型的性能。分析結果錶明,自交繫種子間遺傳距離與近紅外光譜距離相關性為0.9868,與模型鑒彆正確率的相關性為0.9110,相關性顯著。說明近紅外光譜可以反映齣玉米自交繫種子之間的遺傳關繫,遺傳關繫的遠近影響品種鑒彆模型的性能,遺傳距離越小,近紅外光譜距離越小,模型鑒彆能力也越差。實際應用中有望利用近紅外光譜技術分析玉米自交繫的遺傳關繫,對遺傳育種、品種識彆、純度分選等具有重要意義;且建立品種鑒彆模型時,應充分攷慮遺傳關繫較近的玉米自交繫對模型性能的影響。
종옥미자교계충자적유전거리、근홍외광보거리、품충감별모형성능삼방면진행분석,탐색삼자간적관계。채용삼조(공15대)유전관계원근불동적옥미자교계충자작위실험재료,통과간단중복서렬(simple sequence repeats,SSR)표기계산자교계충자간적유전거리;충자적근홍외광보경예처리후강유도주성분분석(principal component analysis,PCA)공간중,계산각개자교계충자양본중심점지간적구씨거리,작위대응적근홍외광보거리;사용방생모식식별방법건립감별모형,용모형적감별정학솔평개모형적성능。분석결과표명,자교계충자간유전거리여근홍외광보거리상관성위0.9868,여모형감별정학솔적상관성위0.9110,상관성현저。설명근홍외광보가이반영출옥미자교계충자지간적유전관계,유전관계적원근영향품충감별모형적성능,유전거리월소,근홍외광보거리월소,모형감별능력야월차。실제응용중유망이용근홍외광보기술분석옥미자교계적유전관계,대유전육충、품충식별、순도분선등구유중요의의;차건립품충감별모형시,응충분고필유전관계교근적옥미자교계대모형성능적영향。
This paper explored the relationship among genetic distances,NIR spectra distances and NIR-based identification model performance of the seeds of maize inbred lines.Using 3 groups (total 15 pairs)of maize inbred lines whose genetic dis-taches are different as experimental materials,we calculates the genetic distance between these seeds with SSR markers and uses Euclidean distance between distributed center points of maize NIR spectrum in the PCA space as the distances of NIR spectrum. BPR method is used to build identification model of inbred lines andthe identification accuracy is used as a measure of model iden-tification performance.The results showed that the correlation of genetic distance and spectra distancesis 0.986 8,and it has a correlation of 0.911 0 with the identification accuracy,which is highly correlated.This means near-Infrared spectrum of seedscan reflect genetic relationship of maize inbred lines.The smaller the genetic distance,the smaller the distance of spectrum,the poo-rer ability of model to identify.In practical application,near infrared spectrum analysis technology has the potential to be used to analyze maize inbred genetic relations,contributing much to genetic breeding,identification of species,purity sorting and so on. What’s more,when creating a NIR-based identification model,the impact of the maize inbred lines which have closer genetic re-lationship should be fully considered.