柳河大米产地环境及其矿物元素分布特征的典范对应分析
|
摘要
为筛选稳定可靠的柳河大米产地确证元素,通过2次典范对应分析研究影响吉林省柳河大米采样点分布的环境因子,分析大米产地确证元素在区域尺度内的影响关系及其稳定性。典范对应分析结果表明,2个环境梯度轴分别解释大米矿物元素含量总方差的17.3%和23.4%,柳河大米矿物元素含量和环境变量之间存在较强的空间相关性,受产地环境变量影响最大的为Se元素,Ca、Zn、Mg含量受其影响最小,Mg、Ca、Na、Mn、Zn具有较好的稳定性和空间代表性,可作为柳河大米产地确证的指标元素。研究结果为建立柳河大米确证模型提供有效的理论依据。
In order to screen for stable and reliable mineral elements to identify the geographical origin of Liuhe rice, two cycles of canonical correspondence analysis were performed to evaluate the environmental factors that affect the distribution of sampling locations. We analyzed the effectiveness at the regional scale of the selected elements and their stability in identifying the geographical origin of Liuhe rice. Results showed that the two environmental gradient axes explained 17.3%and 23.4% of the total variance, respectively. There was a strong spatial correlation between the mineral elements and the environmental variables. Se content was most influenced by the geographical environmental variables, while the least effect was observed on Ca, Zn and Mg contents. Mg, Ca, Na, Mn and Zn had good stability and spatial representativeness and could be used to identify the geographical origin of Liuhe rice. The results of this study can provide a useful theoretical foundation for modeling in geographical origin identification of Liuhe rice.
In order to screen for stable and reliable mineral elements to identify the geographical origin of Liuhe rice, two cycles of canonical correspondence analysis were performed to evaluate the environmental factors that affect the distribution of sampling locations. We analyzed the effectiveness at the regional scale of the selected elements and their stability in identifying the geographical origin of Liuhe rice. Results showed that the two environmental gradient axes explained 17.3%and 23.4% of the total variance, respectively. There was a strong spatial correlation between the mineral elements and the environmental variables. Se content was most influenced by the geographical environmental variables, while the least effect was observed on Ca, Zn and Mg contents. Mg, Ca, Na, Mn and Zn had good stability and spatial representativeness and could be used to identify the geographical origin of Liuhe rice. The results of this study can provide a useful theoretical foundation for modeling in geographical origin identification of Liuhe rice.
引文
[1]LIU A,NIYONGIRA R.Chinese consumers food purchasing behaviors and awareness of food safety[J].Food Control,2017,79(9):185-191.DOI:10.1016/j.foodcont.2017.03.038.
[2]KING T,COLE M,FARBER J M,et al.Food safety for food security:relationship between global megatrends and developments in food safety[J].Trends in Food Science&Technology,2017,68(10):160-175.DOI:10.1016/j.tifs.2017.08.014.
[3]AUNG M M,CHANG Y S.Traceability in a food supply chain:safety and quality perspectives[J].Food Control,2014,39(5):172-184.DOI:10.1016/j.foodcont.2013.11.007.
[4]GARNIER J,GARNIER J M,VIEIRA C L,et al.Iron isotope fingerprints of redox and biogeochemical cycling in the soil-water-rice plant system of a paddy field[J].Science of the Total Environment,2017,574:1622-1632.DOI:10.1016/j.scitotenv.2016.08.202.
[5]宋雪健,钱丽丽,张东杰,等.基于漫反射傅里叶变换近红外光谱技术对不同年份的大米产地溯源检测[J].食品科学,2017,38(18):286-291.DOI:10.7506/spkx1002-6630-201718044.
[6]钱丽丽,李平惠,杨义杰,等.不同产地芸豆中矿物元素的因子分析与聚类分析[J].食品科学,2015,36(14):102-106.DOI:10.7506/spkx1002-6630-201514020.
[7]HUO Y,KAMAL G M,WANG J,et al.1H NMR-based metabolomics for discrimination of rice from different geographical origins of China[J].Journal of Cereal Science,2017,76(7):243-252.DOI:10.1016/j.jcs.2017.07.002.
[8]李欢,李建贵.果园微气候及土壤养分对灰枣果实矿物元素含量的影响[J].经济林研究,2016,34(3):8-15.DOI:10.14067/j.cnki.1003-8981.2016.03.002.
[9]ZHANG J,WANG H,LIU J,et al.Influence of water potential and soil type on conventional japonica super rice yield and soil enzyme activities[J].Journal of Integrative Agriculture,2017,16(5):1044-1052.DOI:10.1016/S2095-3119(16)61575-7.
[10]SHRESTHA S,CHAPAGAIN R,BABEL M S.Quantifying the impact of climate change on crop yield and water footprint of rice in the Nam Oon Irrigation Project,Thailand[J].Science of the Total Environment,2017,599(12):689-699.DOI:10.1016/j.scitotenv.2017.05.028.
[11]KHANAL U,WILSON C,HOANG V N,et al.Farmers’adaptation to climate change,its determinants and impacts on rice yield in Nepal[J].Ecological Economics,2018,144(2):139-147.DOI:10.1016/j.ecolecon.2017.08.006.
[12]陈秋生,张强,刘烨潼,等.矿质元素指纹技术在植源性特色农产品产地溯源中的应用研究进展[J].天津农业科学,2014,20(6):4-8.DOI:10.3969/j.issn.1006-6500.2014.06.002.
[13]WOODRUFF L,CANNON W F,SMITH D B,et al.The distribution of selected elements and minerals in soil of the conterminous United States[J].Journal of Geochemical Exploration,2015,154(7):49-60.DOI:10.1016/j.gexplo.2015.01.006.
[14]M A I O N E C,B A T I S T A B L,C A M P I G L I A A D,e t a l.Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry[J].Computers and Electronics in Agriculture,2016,121(2):101-107.DOI:10.1016/j.compag.2015.11.009.
[15]ALEXANDER D,ELLERBY R,HERNANDEZ A,et al.Investigation of simultaneous adsorption properties of Cd,Cu,Pb and Zn by pristine rice husks using ICP-AES and LA-ICP-MS analysis[J].Microchemical Journal,2017,135:129-139.DOI:10.1016/j.jcs.2015.08.001.
[16]GONZáLVEZ A,ARMENTA S,DE LA GUARDIA M.Geographical traceability of“Arròs de Valencia”rice grain based on mineral element composition[J].Food Chemistry,2011,126(3):1254-1260.DOI:10.1016/j.foodchem.2010.11.032.
[17]赵海燕,郭波莉,张波,等.小麦产地矿物元素指纹溯源技术研究[J].中国农业科学,2010,43(18):3817-3823.DOI:10.3864/j.issn.0578-1752.2010.18.016.
[18]BINETTI G,DEL COCO L,RAGONE R,et al.Cultivar classification of Apulian olive oils:use of artificial neural networks for comparing NMR,NIR and merceological data[J].Food Chemistry,2017,219:131-138.DOI:10.1016/j.foodchem.2016.09.041.
[19]TURRA C,DE LIMA M D,FERNANDES E A D N,et al.Multielement determination in orange juice by ICP-MS associated with data mining for the classification of organic samples[J].Information Processing in Agriculture,2017,4(3):199-205.DOI:10.1016/j.inpa.2017.05.004.
[20]白红武,孙传恒,丁维荣,等.农产品溯源系统研究进展[J].江苏农业科学,2013,41(4):1-4.DOI:10.3969/j.issn.1002-1302.2013.04.001.
[21]吴玉秋.吉林省柳河县湿地利用与保护[J].湿地科学,2010,8(2):209-212.DOI:10.3969/j.issn.1003-7853.2011.01.032.
[22]LI J,RODRIGUEZ D,TANG X.Effects of land lease policy on changes in land use,mechanization and agricultural pollution[J].L a n d U s e P o l i c y,2 0 1 7,6 4(5):4 0 5-4 1 3.D O I:1 0.1 0 1 6/j.landusepol.2017.03.008.
[23]SIEBERT S J,VAN WYK A E,BREDENKAMP G J,et al.Vegetation ecology of Sekhukhuneland,South Africa:Combretum hereroense-Grewia vernicosa Open Mountain Bushveld[J].South African Journal of Botany,2002,68(4):475-496.DOI:10.1016/S0254-6299(15)30377-X.
[24]DI LEONARDO R,ADELFIO G,BELLANCA A,et al.Analysis and assessment of trace element contamination in offshore sediments of the Augusta Bay(SE Sicily):a multivariate statistical approach based on canonical correlation analysis and mixture density estimation approach[J].Journal of Sea Research,2014,85(1):428-442.DOI:10.1016/j.seares.2013.07.015.
[25]ZHAOZ,JIANG Y,XIA L,et al.Application of canonical correspondence analysis to determine the ecological contribution of phytoplankton to PCBs bioaccumulation in Qinhuai River,Nanjing,China[J].Environmental Science and Pollution Research,2014,21(4):3091-3103.DOI:10.1007/s11356-013-2265-x.
[26]BU C,ZHANG P,WANG C,et al.Spatial distribution of biological soil crusts on the slope of the Chinese Loess Plateau based on canonical correspondence analysis[J].Catena,2016,137(2):373-381.DOI:10.1016/j.catena.2015.10.016.
[27]ANDA M.Characteristics of pristine volcanic materials:beneficial and harmful effects and their management for restoration of agroecosystem[J].Science of the Total Environment,2016,543(2):480-492.DOI:10.1016/j.scitotenv.2015.10.157.
[2]KING T,COLE M,FARBER J M,et al.Food safety for food security:relationship between global megatrends and developments in food safety[J].Trends in Food Science&Technology,2017,68(10):160-175.DOI:10.1016/j.tifs.2017.08.014.
[3]AUNG M M,CHANG Y S.Traceability in a food supply chain:safety and quality perspectives[J].Food Control,2014,39(5):172-184.DOI:10.1016/j.foodcont.2013.11.007.
[4]GARNIER J,GARNIER J M,VIEIRA C L,et al.Iron isotope fingerprints of redox and biogeochemical cycling in the soil-water-rice plant system of a paddy field[J].Science of the Total Environment,2017,574:1622-1632.DOI:10.1016/j.scitotenv.2016.08.202.
[5]宋雪健,钱丽丽,张东杰,等.基于漫反射傅里叶变换近红外光谱技术对不同年份的大米产地溯源检测[J].食品科学,2017,38(18):286-291.DOI:10.7506/spkx1002-6630-201718044.
[6]钱丽丽,李平惠,杨义杰,等.不同产地芸豆中矿物元素的因子分析与聚类分析[J].食品科学,2015,36(14):102-106.DOI:10.7506/spkx1002-6630-201514020.
[7]HUO Y,KAMAL G M,WANG J,et al.1H NMR-based metabolomics for discrimination of rice from different geographical origins of China[J].Journal of Cereal Science,2017,76(7):243-252.DOI:10.1016/j.jcs.2017.07.002.
[8]李欢,李建贵.果园微气候及土壤养分对灰枣果实矿物元素含量的影响[J].经济林研究,2016,34(3):8-15.DOI:10.14067/j.cnki.1003-8981.2016.03.002.
[9]ZHANG J,WANG H,LIU J,et al.Influence of water potential and soil type on conventional japonica super rice yield and soil enzyme activities[J].Journal of Integrative Agriculture,2017,16(5):1044-1052.DOI:10.1016/S2095-3119(16)61575-7.
[10]SHRESTHA S,CHAPAGAIN R,BABEL M S.Quantifying the impact of climate change on crop yield and water footprint of rice in the Nam Oon Irrigation Project,Thailand[J].Science of the Total Environment,2017,599(12):689-699.DOI:10.1016/j.scitotenv.2017.05.028.
[11]KHANAL U,WILSON C,HOANG V N,et al.Farmers’adaptation to climate change,its determinants and impacts on rice yield in Nepal[J].Ecological Economics,2018,144(2):139-147.DOI:10.1016/j.ecolecon.2017.08.006.
[12]陈秋生,张强,刘烨潼,等.矿质元素指纹技术在植源性特色农产品产地溯源中的应用研究进展[J].天津农业科学,2014,20(6):4-8.DOI:10.3969/j.issn.1006-6500.2014.06.002.
[13]WOODRUFF L,CANNON W F,SMITH D B,et al.The distribution of selected elements and minerals in soil of the conterminous United States[J].Journal of Geochemical Exploration,2015,154(7):49-60.DOI:10.1016/j.gexplo.2015.01.006.
[14]M A I O N E C,B A T I S T A B L,C A M P I G L I A A D,e t a l.Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry[J].Computers and Electronics in Agriculture,2016,121(2):101-107.DOI:10.1016/j.compag.2015.11.009.
[15]ALEXANDER D,ELLERBY R,HERNANDEZ A,et al.Investigation of simultaneous adsorption properties of Cd,Cu,Pb and Zn by pristine rice husks using ICP-AES and LA-ICP-MS analysis[J].Microchemical Journal,2017,135:129-139.DOI:10.1016/j.jcs.2015.08.001.
[16]GONZáLVEZ A,ARMENTA S,DE LA GUARDIA M.Geographical traceability of“Arròs de Valencia”rice grain based on mineral element composition[J].Food Chemistry,2011,126(3):1254-1260.DOI:10.1016/j.foodchem.2010.11.032.
[17]赵海燕,郭波莉,张波,等.小麦产地矿物元素指纹溯源技术研究[J].中国农业科学,2010,43(18):3817-3823.DOI:10.3864/j.issn.0578-1752.2010.18.016.
[18]BINETTI G,DEL COCO L,RAGONE R,et al.Cultivar classification of Apulian olive oils:use of artificial neural networks for comparing NMR,NIR and merceological data[J].Food Chemistry,2017,219:131-138.DOI:10.1016/j.foodchem.2016.09.041.
[19]TURRA C,DE LIMA M D,FERNANDES E A D N,et al.Multielement determination in orange juice by ICP-MS associated with data mining for the classification of organic samples[J].Information Processing in Agriculture,2017,4(3):199-205.DOI:10.1016/j.inpa.2017.05.004.
[20]白红武,孙传恒,丁维荣,等.农产品溯源系统研究进展[J].江苏农业科学,2013,41(4):1-4.DOI:10.3969/j.issn.1002-1302.2013.04.001.
[21]吴玉秋.吉林省柳河县湿地利用与保护[J].湿地科学,2010,8(2):209-212.DOI:10.3969/j.issn.1003-7853.2011.01.032.
[22]LI J,RODRIGUEZ D,TANG X.Effects of land lease policy on changes in land use,mechanization and agricultural pollution[J].L a n d U s e P o l i c y,2 0 1 7,6 4(5):4 0 5-4 1 3.D O I:1 0.1 0 1 6/j.landusepol.2017.03.008.
[23]SIEBERT S J,VAN WYK A E,BREDENKAMP G J,et al.Vegetation ecology of Sekhukhuneland,South Africa:Combretum hereroense-Grewia vernicosa Open Mountain Bushveld[J].South African Journal of Botany,2002,68(4):475-496.DOI:10.1016/S0254-6299(15)30377-X.
[24]DI LEONARDO R,ADELFIO G,BELLANCA A,et al.Analysis and assessment of trace element contamination in offshore sediments of the Augusta Bay(SE Sicily):a multivariate statistical approach based on canonical correlation analysis and mixture density estimation approach[J].Journal of Sea Research,2014,85(1):428-442.DOI:10.1016/j.seares.2013.07.015.
[25]ZHAOZ,JIANG Y,XIA L,et al.Application of canonical correspondence analysis to determine the ecological contribution of phytoplankton to PCBs bioaccumulation in Qinhuai River,Nanjing,China[J].Environmental Science and Pollution Research,2014,21(4):3091-3103.DOI:10.1007/s11356-013-2265-x.
[26]BU C,ZHANG P,WANG C,et al.Spatial distribution of biological soil crusts on the slope of the Chinese Loess Plateau based on canonical correspondence analysis[J].Catena,2016,137(2):373-381.DOI:10.1016/j.catena.2015.10.016.
[27]ANDA M.Characteristics of pristine volcanic materials:beneficial and harmful effects and their management for restoration of agroecosystem[J].Science of the Total Environment,2016,543(2):480-492.DOI:10.1016/j.scitotenv.2015.10.157.