A biparental soybean population of 364 recombinant inbred lines(RILs)derived from Zhongdou 41×ZYD02.878 was used to identify quantitative trait loci(QTL)associated with hundred-seed weight(100-SW),pod length(PL),...A biparental soybean population of 364 recombinant inbred lines(RILs)derived from Zhongdou 41×ZYD02.878 was used to identify quantitative trait loci(QTL)associated with hundred-seed weight(100-SW),pod length(PL),and pod width(PW).100-SW,PL,and PW showed moderate correlations among one another,and 100-SW was correlated most strongly with PW(0.64–0.74).Respectively 74,70,75 and19 QTL accounting for 38.7%–78.8%of total phenotypic variance were identified by inclusive composite interval mapping,restricted two-stage multi-locus genome-wide association analysis,3 variancecomponent multi-locus random-SNP-effect mixed linear model analysis,and conditional genome-wide association analysis.Of these QTL,189 were novel,and 24 were detected by multiple methods.Six loci were associated with 100-SW,PL,and PW and may be pleiotropic loci.A total of 284 candidate genes were identified in colocalizing QTL regions,including the verified gene Seed thickness 1(ST1).Eleven genes with functions involved in pectin biosynthesis,phytohormone,ubiquitin-protein,and photosynthesis pathways were prioritized by examining single nucleotide polymorphism(SNP)variation,calculating genetic differentiation index,and inquiring gene expression.The prediction accuracies of genomic selection(GS)for 100-SW,PL,and PW based on single trait-associated markers reached 0.82,0.76,and 0.86 respectively,but selection index(SI)-assisted GS strategy did not increase GS efficiency and inclusion of trait-associated markers as fixed effects reduced prediction accuracy.These results shed light on the genetic basis of 100-SW,PL,and PW and provide GS models for these traits with potential application in breeding programs.展开更多
1.大豆果实发育过程中种子和荚皮过氧化物酶(Peroxidase-POD,下同)和超氧化物岐化酶(superoxide Dismutase—SOD,下同)活性均有变化。结瘤大豆的两种酶活性高于非结瘤大豆,这种差异在 POD 活性上表现尤为显著。2.SOD 同工酶在种子发育...1.大豆果实发育过程中种子和荚皮过氧化物酶(Peroxidase-POD,下同)和超氧化物岐化酶(superoxide Dismutase—SOD,下同)活性均有变化。结瘤大豆的两种酶活性高于非结瘤大豆,这种差异在 POD 活性上表现尤为显著。2.SOD 同工酶在种子发育早期就基本合成齐全,而 POD 同工酶随发育逐渐增多。3.种子 SOD 和 POD 均高于荚皮中的活性,但同工酶带数却以荚皮的为多,而且非结瘤种子和荚皮的两种同工酶条带均多于结瘤株的。这表明同工酶条带数与活性间不一定呈相关关系。展开更多
The use of computer vision for estimating quality in agriculture products has become wide spread in recent years and the composition,variety,or ripeness can be estimated.On the other hand,the appearance is one of the ...The use of computer vision for estimating quality in agriculture products has become wide spread in recent years and the composition,variety,or ripeness can be estimated.On the other hand,the appearance is one of the most worrying issues for producers due to its influence on quality.In this research,computer vision technology combined with BP artificial neural network(ANN)was developed to identify soybean frogeye,mildewed soybean,worm-eaten soybean and damaged soybean.Thirty-nine characteristic parameters from color,texture and shape characteristics were computed after preprocessing the acquired soybean images.The dimensionality of the characteristic parameters was reduced from 39 dimensionalities to 12 dimensionalities using the method of principal component analysis(PCA).MALAB software was used to build a prediction model according to 12 characteristic parameters.The identification accuracies of soybean frogeye,mildewed soybean,damaged soybean and worm-eaten soybean are 96%,95%,92%,and 92%,respectively.And the accuracy for heterogeneous soybean seeds with several diseases is 90%.The results show that the prediction model constructed by BP neural network can identify the diseases of soybean seeds.And it is useful to estimate appearance quality of soybean by computer vision applying BP neural network.展开更多
基金supported by the Key Science and Technology Project of Yunnan(202202AE090014)the National Natural Science Foundation of China(32072016)+1 种基金the Agricultural Science and Technology Innovation Program(ASTIP)of Chinese Academy of Agricultural Sciencesthe Open Fund of Engineering Research Center of Ecology and Agricultural Use of Wetland,Ministry of Education,China(201910)。
文摘A biparental soybean population of 364 recombinant inbred lines(RILs)derived from Zhongdou 41×ZYD02.878 was used to identify quantitative trait loci(QTL)associated with hundred-seed weight(100-SW),pod length(PL),and pod width(PW).100-SW,PL,and PW showed moderate correlations among one another,and 100-SW was correlated most strongly with PW(0.64–0.74).Respectively 74,70,75 and19 QTL accounting for 38.7%–78.8%of total phenotypic variance were identified by inclusive composite interval mapping,restricted two-stage multi-locus genome-wide association analysis,3 variancecomponent multi-locus random-SNP-effect mixed linear model analysis,and conditional genome-wide association analysis.Of these QTL,189 were novel,and 24 were detected by multiple methods.Six loci were associated with 100-SW,PL,and PW and may be pleiotropic loci.A total of 284 candidate genes were identified in colocalizing QTL regions,including the verified gene Seed thickness 1(ST1).Eleven genes with functions involved in pectin biosynthesis,phytohormone,ubiquitin-protein,and photosynthesis pathways were prioritized by examining single nucleotide polymorphism(SNP)variation,calculating genetic differentiation index,and inquiring gene expression.The prediction accuracies of genomic selection(GS)for 100-SW,PL,and PW based on single trait-associated markers reached 0.82,0.76,and 0.86 respectively,but selection index(SI)-assisted GS strategy did not increase GS efficiency and inclusion of trait-associated markers as fixed effects reduced prediction accuracy.These results shed light on the genetic basis of 100-SW,PL,and PW and provide GS models for these traits with potential application in breeding programs.
文摘1.大豆果实发育过程中种子和荚皮过氧化物酶(Peroxidase-POD,下同)和超氧化物岐化酶(superoxide Dismutase—SOD,下同)活性均有变化。结瘤大豆的两种酶活性高于非结瘤大豆,这种差异在 POD 活性上表现尤为显著。2.SOD 同工酶在种子发育早期就基本合成齐全,而 POD 同工酶随发育逐渐增多。3.种子 SOD 和 POD 均高于荚皮中的活性,但同工酶带数却以荚皮的为多,而且非结瘤种子和荚皮的两种同工酶条带均多于结瘤株的。这表明同工酶条带数与活性间不一定呈相关关系。
基金We acknowledge the financial support of Heilongjiang Provincial Natural Science Foundation(ZD201303)and Youth Scientific Research Fund of Northeast Agricultural University.
文摘The use of computer vision for estimating quality in agriculture products has become wide spread in recent years and the composition,variety,or ripeness can be estimated.On the other hand,the appearance is one of the most worrying issues for producers due to its influence on quality.In this research,computer vision technology combined with BP artificial neural network(ANN)was developed to identify soybean frogeye,mildewed soybean,worm-eaten soybean and damaged soybean.Thirty-nine characteristic parameters from color,texture and shape characteristics were computed after preprocessing the acquired soybean images.The dimensionality of the characteristic parameters was reduced from 39 dimensionalities to 12 dimensionalities using the method of principal component analysis(PCA).MALAB software was used to build a prediction model according to 12 characteristic parameters.The identification accuracies of soybean frogeye,mildewed soybean,damaged soybean and worm-eaten soybean are 96%,95%,92%,and 92%,respectively.And the accuracy for heterogeneous soybean seeds with several diseases is 90%.The results show that the prediction model constructed by BP neural network can identify the diseases of soybean seeds.And it is useful to estimate appearance quality of soybean by computer vision applying BP neural network.
