摘要
寻找新的果穗性状并评价它们单独鉴别品种的能力,是玉米新品种特异性、一致性和稳定性(DUS)测试研究的重要内容。采集了4个品种各50个果穗的RGB图像,用图像处理法提取了4大类形态特征共计145个性状,逐一性状对品种进行判别分析,以性状的品种识别率表示性状鉴别品种的能力大小。单一性状的品种识别率变化在0.244～0.634之间,在前17个高鉴别力性状中,果穗长宽比等具有与指南性状同等的甚至更高的品种区分能力。单一性状的广义遗传力一般都小于0.66,且与鉴别力高度一致(y=0.29+0.44x,r=0.897,P<0.01)。总体上,四大属性的鉴别力从大到小依次为形状类>纹理类>颜色类>大小类。从受试的145个特征中筛选出许多具有较高品种鉴别能力的性状,可望应用于玉米新品种DUS测试工作。
Definitions and screens of novel organ characteristics are among main concerns in differentiation of similar cultivars in maize （Zea mays L.） DUS （Distinctness,Uniformity and Stability） test. To screen image features of ears in maize for potential traits of DUS testing,RGB images for fifty well-developed upper ears of 4 maize cultivars were photographed. Features of 145 ear traits were exacted using image analysis from into 4 categories of size,shape,color and texture. The correct identification rate （CIR） derived from statistical discrimination analysis using single image features was taken as the identifaction power. CIR＇s of 145 extracted ear traits varied from 0.244 to 0.634 with the mode of 0.35. The 17 traits out of 145 ones performed well with over 0.5 correct rate in discriminating cultivars,and could be promising candidate traits for DUS test. They consisted of 6 shape features of ear length to width ratio,compactness,shape factor,eccentricity,surface sphericity and body sphericity,and 8 textures of the first,second and sixth invariant moments,uniformity,and 4 mean or variance statistics of Fourier Transform,and 3 colors of ear green skewness,kernel crown red mean and row gap proportion. One of these 17 traits is in the list of the National Guide,but none of them belong to size category. The generalized heritability （GH） of tested traits ranged from 0.00 to 0.66. Robust regression analysis revealed a highly positive relationship between CIR and GH （CIR = 0.29 ＋ 0.44＊GH,r = 0.897,P0.01）. Conclusions are that novel image features of maize ears may be promising candidate characteristics for DUS test,and that potentials of 4 categories for variety identification power rank as shape texture color size.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2011年第1期196-200,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
山东省科技攻关计划项目(2009GG10009005)
山西省归国留学人员项目(2003049)
山东省农业重大应用技术创新项目(6207a7)
关键词
玉米
图像处理
品种识别
果穗形态
DUS测试
maize （Zea mays L.）
image process
variety identification
ear morph
DUS testing
