Herbaceous peony is a promising oilseed crop.‘Hangshao’and‘Fenghuang Niepan’are two cultivars with high yield and oil content In this study,seed reserved nutrient of these two genotypes were investigated during se...Herbaceous peony is a promising oilseed crop.‘Hangshao’and‘Fenghuang Niepan’are two cultivars with high yield and oil content In this study,seed reserved nutrient of these two genotypes were investigated during seed development process.Results showed that‘Hangshao’and‘Fenghuang Niepan’matured approximately 85 d after flowering(DAF).The development p rocess could be divided into four stages:seed formation and enlargement stage(S1),seed inclusion and enrichment stage(S2),crude fat rapid accumulation stage(S3)and dehydration and color transition stage(S4).During this process,100-seed fresh weight(HFW)and 100-seed dry weight(HDW)increased,whereas water content(WC)decreased.HFW,HDW and WC for‘Hangshao’seed at 85 DAF were28.56 g,20.78 g and 37.50%respectively,whereas those for‘Fenghuang Niepan’seed were 27.2 g,19.78 g,and30.85%respectively.In terms of the primary metabolites measuring,soluble protein content was consistently low(only 2.24%-3.15%),while starch content was relatively high(5.60%-24.81%).They displayed a trend of gradual increasing in early stage,followed by rapid decline.Crude fat tended to accumulate continuously with a linear upward trend starting at 40 DAF,and its maximum level was reached at 85 DAF(27.57%for‘Hangshao’and29.57%for‘Fenghuang Niepan’).For the secondary metabolites determination,total phenols content was relatively steady,maintaining at 107.7-129.9 mg/g for both cultivars,while total flavonoids content varied within25.33-65.33 mg/g for‘Hangshao’and 24.33-52.37 mg/g for Tenghuang Niepan’.The maximum level for both cultivars occurred at 55 DAF.Furthermore,crude fat content was found to be highly correlated with WC by correlation analysis and linear regression model definition(P≤0.01 and r=0.954).Thus,WC was recommended for evaluating crude fat in peony seed.These findings could provide scientific reference for high-yielding production practice for oleaginous peony plant.展开更多
Efficient measurement of photosynthetic traits,such as the maximum carboxylation rate of Rubisco(Vcmax)and electron transport rate(Jmax),is essential for advancing research and breeding aimed at enhancing crop pro-duc...Efficient measurement of photosynthetic traits,such as the maximum carboxylation rate of Rubisco(Vcmax)and electron transport rate(Jmax),is essential for advancing research and breeding aimed at enhancing crop pro-ductivity.Traditional methods are time-intensive,which limits their scalability.Remote sensing presents an opportunity for estimating these traits;however,it often lacks an affordable platform for effective spatial map-ping,a critical aspect of phenotyping.This study explored the use of unmanned aerial vehicle(UAV)multispectral data to estimate and spatially map photosynthetic traits in tea chrysanthemums during the branching and budding stages under an open canopy.Over six field experiments across varieties conducted in 2022-2023,we captured canopy reflectance using UAV-mounted multispectral sensors,calculated spectral indices,and measured the photosynthetic traits of the upper leaves using a portable photosynthesis system.The results indicated that certain indices,particularly those incorporating green and red-edge bands,effectively estimated photosynthetic traits,with the simplified canopy chlorophyll content index(SCCCI)yielding the most accurate Vcmax estimates(R^(2)=0.52)and the chlorophyll vegetation index(CVI)providing the best estimates for Jmax(R^(2)=0.38).The inte-gration of variable selection with partial least squares regression(PLSR)modeling further enhanced the precision of the model(Vcmax:R^(2)=0.70;Jmax:R^(2)=0.63).Our findings demonstrate that UAV-acquired multispectral data can effectively map photosynthetic traits with high spatial resolution,establishing it as a valuable tool for rapid phenotyping and spatial assessment of photosynthetic capacity in crop fields.展开更多
基金financially supported by the Agricultural Major Applied Technology Innovation Project of Shandong ProvinceChina(No.2016-36)。
文摘Herbaceous peony is a promising oilseed crop.‘Hangshao’and‘Fenghuang Niepan’are two cultivars with high yield and oil content In this study,seed reserved nutrient of these two genotypes were investigated during seed development process.Results showed that‘Hangshao’and‘Fenghuang Niepan’matured approximately 85 d after flowering(DAF).The development p rocess could be divided into four stages:seed formation and enlargement stage(S1),seed inclusion and enrichment stage(S2),crude fat rapid accumulation stage(S3)and dehydration and color transition stage(S4).During this process,100-seed fresh weight(HFW)and 100-seed dry weight(HDW)increased,whereas water content(WC)decreased.HFW,HDW and WC for‘Hangshao’seed at 85 DAF were28.56 g,20.78 g and 37.50%respectively,whereas those for‘Fenghuang Niepan’seed were 27.2 g,19.78 g,and30.85%respectively.In terms of the primary metabolites measuring,soluble protein content was consistently low(only 2.24%-3.15%),while starch content was relatively high(5.60%-24.81%).They displayed a trend of gradual increasing in early stage,followed by rapid decline.Crude fat tended to accumulate continuously with a linear upward trend starting at 40 DAF,and its maximum level was reached at 85 DAF(27.57%for‘Hangshao’and29.57%for‘Fenghuang Niepan’).For the secondary metabolites determination,total phenols content was relatively steady,maintaining at 107.7-129.9 mg/g for both cultivars,while total flavonoids content varied within25.33-65.33 mg/g for‘Hangshao’and 24.33-52.37 mg/g for Tenghuang Niepan’.The maximum level for both cultivars occurred at 55 DAF.Furthermore,crude fat content was found to be highly correlated with WC by correlation analysis and linear regression model definition(P≤0.01 and r=0.954).Thus,WC was recommended for evaluating crude fat in peony seed.These findings could provide scientific reference for high-yielding production practice for oleaginous peony plant.
基金This work was supported by the National Natural Science Foundation of China(32302593)Natural Science Fund of Jiangsu Province(BK20230996)+4 种基金the Jiangsu Funding Program for Excellent Postdoctoral Talent(2022ZB339)the Fellowship of China Postdoctoral Science Foundation(2022M721638)The“JBGS”Project of Seed Industry Revitalization in Jiangsu Province(JBGS(2021)020)the Program for Key Research and Development,Jiangsu,China(Modern Agriculture)(BE2023367)the earmarked fund for Jiangsu Agricultural Industry Technology System.
文摘Efficient measurement of photosynthetic traits,such as the maximum carboxylation rate of Rubisco(Vcmax)and electron transport rate(Jmax),is essential for advancing research and breeding aimed at enhancing crop pro-ductivity.Traditional methods are time-intensive,which limits their scalability.Remote sensing presents an opportunity for estimating these traits;however,it often lacks an affordable platform for effective spatial map-ping,a critical aspect of phenotyping.This study explored the use of unmanned aerial vehicle(UAV)multispectral data to estimate and spatially map photosynthetic traits in tea chrysanthemums during the branching and budding stages under an open canopy.Over six field experiments across varieties conducted in 2022-2023,we captured canopy reflectance using UAV-mounted multispectral sensors,calculated spectral indices,and measured the photosynthetic traits of the upper leaves using a portable photosynthesis system.The results indicated that certain indices,particularly those incorporating green and red-edge bands,effectively estimated photosynthetic traits,with the simplified canopy chlorophyll content index(SCCCI)yielding the most accurate Vcmax estimates(R^(2)=0.52)and the chlorophyll vegetation index(CVI)providing the best estimates for Jmax(R^(2)=0.38).The inte-gration of variable selection with partial least squares regression(PLSR)modeling further enhanced the precision of the model(Vcmax:R^(2)=0.70;Jmax:R^(2)=0.63).Our findings demonstrate that UAV-acquired multispectral data can effectively map photosynthetic traits with high spatial resolution,establishing it as a valuable tool for rapid phenotyping and spatial assessment of photosynthetic capacity in crop fields.
