基于熵权的DTOPSIS法和灰色局势决策法在宜机收玉米品种综合评价中的应用
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摘要
【目的】综合评价玉米品种的宜机收性,筛选适宜黄淮海玉米产区的机械收粒玉米新品种,为该区域宜机收玉米品种的选育和推广提供参考依据。【方法】采用熵值赋权的DTOPSIS法和灰色局势决策法,对2017—2018年10个新审定和生产上的主栽玉米品种进行综合评价。【结果】DTOPSIS法计算结果表明,按照10个玉米品种与理想解的相对接近度Ci排序为京农科728>粒收1号>豫单9953>新单68>创玉107>先玉335>迪卡517>华皖267>怀川39>郑单958,综合产量和宜机收性状,京农科728和豫单9953两个品种表现较好。灰色局势决策法计算结果表明,各参试品种的加权综合效果测度值排序为京农科728>粒收1号>豫单9953>先玉335>新单68>创玉107>迪卡517>怀川39>华皖267>郑单958,结合产量和综合优势量化值,同样是京农科728和豫单9953表现较好。两种方法中,京农科728、粒收1号、豫单9953、迪卡517和郑单958等5个品种的排序基本一致,其余5个品种的综合评价排序稍有不同。【结论】两种评价方法均能客观全面评价玉米品种的宜机收性,但灰色局势决策法分类更准确,计算过程也相对简单。依据各品种的产量和宜机收性综合评价10个参试玉米品种,初步筛选出适宜黄淮海玉米产区的高产宜机收品种为京农科728和豫单9953。
【Objective】Comprehensive evaluation of characteristics of mechanical kernel harvest was conducted and new maize cultivar suitable for mechanical kernel harvest in the Huanghuaihai maize planting region was selected. It could provide reference for the selection and promotion of cultivars suitable for mechanical kennel harvest in the region.【Method】Two evaluating methods,DTOPSIS mode and grey situation decision based on entropy were adopted in this paper to comprehensively evaluate 10 newly approved and produced main maize cultivars in 2017–2018.【Result】DTOPSIS analysis results indicated the rank order of relative approach degree(Ci)of each cultivar was Jingnongke 728>Lishou No.1>Yudan 9953>Xindan 68>Chuangyu107>Xianyu 335>Dika 517>Huawan 267>Huaichuan 39>Zhengdan 958. Two cultivars Jingnongke 728 and Yudan 9953 performed better in comprehensive yield and suitable traits. Analysis results of grey situation decision method indicated the rank of weighted composite effect value of each cultivars was Jingnongke 728>Lishou No.1>Yudan 9953>Xindan 68>Chuangyu 107>Xianyu 335>Dika 517>Huawan 267>Huaichuan 39>Zhengdan 958. Combined with the quantitative value of yield and comprehensive advantages,the performance of Jingnongke 728 and Yudan 9953 were fine. Among the two methods,the rankings of five cultivars including Jingnongke 728,Lishou No.1,Yudan 9953,Dika 517 and Zhengdan 958 were identical,and the rankings of the other five cultivars were slightly different.【Conclusion】Both evaluation methods can objectively and comprehensively evaluate characters of mechanical kernel harvest of the maize cultivars,but the gray situation decision method is more accurate and the calculation process is relatively simple. According to the comprehensive evaluation of cultivar yield and suitable traits,the high-yield and suitable harvesting varieties suitable for the Huanghuaihai maize producing region from 10 tested maize cultivars are Jingnongke 728 and Yudan 9953.
【Objective】Comprehensive evaluation of characteristics of mechanical kernel harvest was conducted and new maize cultivar suitable for mechanical kernel harvest in the Huanghuaihai maize planting region was selected. It could provide reference for the selection and promotion of cultivars suitable for mechanical kennel harvest in the region.【Method】Two evaluating methods,DTOPSIS mode and grey situation decision based on entropy were adopted in this paper to comprehensively evaluate 10 newly approved and produced main maize cultivars in 2017–2018.【Result】DTOPSIS analysis results indicated the rank order of relative approach degree(Ci)of each cultivar was Jingnongke 728>Lishou No.1>Yudan 9953>Xindan 68>Chuangyu107>Xianyu 335>Dika 517>Huawan 267>Huaichuan 39>Zhengdan 958. Two cultivars Jingnongke 728 and Yudan 9953 performed better in comprehensive yield and suitable traits. Analysis results of grey situation decision method indicated the rank of weighted composite effect value of each cultivars was Jingnongke 728>Lishou No.1>Yudan 9953>Xindan 68>Chuangyu 107>Xianyu 335>Dika 517>Huawan 267>Huaichuan 39>Zhengdan 958. Combined with the quantitative value of yield and comprehensive advantages,the performance of Jingnongke 728 and Yudan 9953 were fine. Among the two methods,the rankings of five cultivars including Jingnongke 728,Lishou No.1,Yudan 9953,Dika 517 and Zhengdan 958 were identical,and the rankings of the other five cultivars were slightly different.【Conclusion】Both evaluation methods can objectively and comprehensively evaluate characters of mechanical kernel harvest of the maize cultivars,but the gray situation decision method is more accurate and the calculation process is relatively simple. According to the comprehensive evaluation of cultivar yield and suitable traits,the high-yield and suitable harvesting varieties suitable for the Huanghuaihai maize producing region from 10 tested maize cultivars are Jingnongke 728 and Yudan 9953.
引文
郭永忠，杨彩霞，邹军，刘华.2007.灰色局势决策在玉米品种综合评价中的应用[J].西北农业学报，16(4):92-95.[Guo Y Z,Yang C X,Zou J,Liu H.2007.The application of gray situation decision method in comprehensive evaluation of corn varieties[J].Acta Agriculturae BorealiOccidentalis Sinica,16(4):92-95.]
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李文砚，韦优，孔方南，罗培四，赵静，黄丽君，蒋娟娟，卓福昌，周婧.2018.DTOPSIS法在草莓品种综合评价中的应用研究[J].植物生理学报，54(5):925-930.[Li W Y,Wei Y,Kong F N,Luo P S,Zhao J,Huang L J,Jiang J J,Zhuo F C,Zhou J.2018.Study on comprehensive evaluation of strawberry varieties by DTOPSIS method[J].Plant Physiology Journal,54(5):925-930.]
李彦平，李淑君，吴娟霞，孟智勇，郭芳阳.2012.DTOPSIS法和灰色关联度法在新引烤烟新品种综合评价中的应用比较[J].中国烟草学报，18(4):35-40.[Li Y P,Li S J,Wu J X,Meng Z Y,Guo F Y.2012.Application of DTOPSISand grey relational analysis in evaluating newly introduced flue-cured tobacco varieties[J].Acta Tabacaria Sinica,18(4):35-40.]
柳枫贺，王克如，李健，王喜梅，孙亚玲，陈永生，王玉华，韩冬生，李少昆.2013.影响玉米机械收粒质量因素的分析[J].作物杂志，(4):116-119.[Liu F H,Wang K R,Li J,Wang X M,Sun Y L,Chen Y S,Wang Y H,Han D S,Li S K.2013.Analyses effected factors on quality of harvesting maize grain with combine machine[J].Crops,(4):116-119.]
马辉，戴路，刘燕.2015.灰色关联度法和DTOPSIS法在机采棉品种综合评价中的应用[J].中国棉花，42(6):27-29.[Ma H,Dai L,Liu Y.2015.Application and comparison of gray relational analysis and DTOPSIS method in the comprehensive evaluation of machine picking-up cotton varieties[J].China Cotton,42(6):27-29.]
任亮，张海涛，魏明珠，李题印.2019.基于熵权TOPSIS模型的智慧城市发展水平评价研究[J].情报理论与实践.doi:10.16353/j.cnki.1000-7490.2019.07.020.[Ren L,Zhang H T,Wei M Z,Li T Y.2019.Research on the evaluation of development level of smart city based on entropy TOPSIS Model[J].Information Studies:Theory&Application.doi:10.16353/j.cnki.1000-7490.2019.07.020.]
邵美红，程楚，程思明，韩海亮，黄惠芳，赵福成.2017.运用DTOPSIS法对鲜食甜玉米新品种在浙西北地区适应性的综合评价[J].江西农业学报，29(6):25-28.[Shao MH,Cheng C,Cheng S M,Han H L,Huang H F,Zhao FC.2017.Comprehensive evaluation of adaptability of fresh sweet maize varieties in northwest Zhejiang Province by DTOPSIS method[J].Journal of Jiangxi Agriculture,29(6):25-28.]
宋洁，李婉琳，郭华春.2017.DTOPSIS法评价44份CIP引进马铃薯新品系的适应性[J].中国马铃薯，31(4):193-200.[Song J,Li W L,Guo H C.2017.Evaluation of adaptability of 44 new potato varieties introduced by CIP by DTOPSIS method[J].Chinese Potato,31(4):193-200.]
吴志会，白玉龙，董玉武，王淑芳.2005.DTOPSIS法综合评价冀中北冬小麦新品种的初步研究[J].麦类作物学报，(6):108-111.[Wu Z H,Bai Y L,Dong Y W,Wang S F.2005.Preliminary study on comprehensive evaluation of new winter wheat varieties in central and northern Hebei by DTOPSIS method[J].Journal of Wheat Crops,(6):108-111.]
谢瑞芝，王克如，郭银巧，柴宗文，侯鹏，李少昆.2014.黄淮海夏玉米子粒机械收获研究初报[J].作物杂志，159(2):76-79.[Xie R Z,Wang K R,Guo Y Q,Chai Z W,Hou P,Li S K.2014.Research on corn mechanically harvesting grain quality in Huanghuaihai Plain[J].Crops,159(2):76-79.]
杨昆，吴才文，覃伟，赵培方，刘家勇，蔡青.2015.DTOPSIS法和灰色关联度法在甘蔗新品种综合评价中的应用比较[J].西南农业学报，28(4):1542-1547.[Yang K,Wu C W,Qin W,Zhao P F,Liu J Y,Cai Q.2015.Comparison of comprehensive evaluation sugarcane new varieties with DTOPSIS and grey related degree[J].Southwest China Journal of Agricultural Sciences,28(4):1542-1547.]
杨禹伟，陈华，姜波，左惠文.2017.一种加工番茄品质的多性状评价方法[J].中国农业大学学报，22(3):131-137.[Yang Y W,Chen H,Jiang B,Zuo H W.2017.A multicharacter evaluation method for processing tomato quality[J].Journal of China Agricultural University,22(3):131-137.]
余文远，李霖超.2015.运用灰色局势决策法综合评价鲜食大豆新品系[J].湖南农业科学，(10):26-28.[Yu W Y,Li L C.2015.Evaluation of new vegetable soybean varieties with gray situation decision method[J].Journal of Hunan Agricultural Science,(10):26-28.]
昝凯，周青，张志民，郑丽敏，王凤菊，陈亚光，李明军，徐淑霞.2018.灰色关联度和DTOPSIS法综合分析河南区域试验中大豆新品种(系)的农艺性状表现[J].大豆科学，37(5):664-671.[Zan K,Zhou Q,Zhang Z M,Zheng LM,Wang F J,Chen Y G,Li M J,Xu S X.2018.Grey correlation degree and DTOPSIS method comprehensive analysis of soybean varieties(or lines)in Henan Province regional test of agronomic traits performance[J].Journal of Soybean Science,37(5):664-671.]
左安建，王玉胜，李旭华，金保锋，叶为民，扈强，梁荣.2014.DTOPSIS法和灰色局势决策在卷烟质量综合评价中的应用[J].安徽农业科学，42(19):6385-6386.[Zuo A J,Wang Y S,Li X H,Jin B F,Ye W M,Hu Q,Liang R.2014.Application of the DTOPSIS and grey situation decision in comprehensive evaluation of cigarette quality[J].Journal of Anhui Agricultural Sciences,42(19):6385-6386.]
黄秋要，罗芳媚，梁忠明.2017.DTOPSIS法综合评价水稻新品种[J].现代农业科技，(3):39-41.[Huang Q Y,Luo FM,Liang Z M.2017.Comprehensive evaluation of new rice varieties by DTOPSIS method[J].Modern Agricultural Science and Technology,(3):39-41.]
李少昆.2017.我国玉米机械粒收质量影响因素及粒收技术的发展方向[J].石河子大学学报(自然科学版)，35(3):265-272.[Li S K.2017.Factors affecting the quality of maize grain mechanical harvest and the development trend of grain harvest technology[J].Journal of Shihezi University(Natural Science),35(3):265-272.]
李文砚，韦优，孔方南，罗培四，赵静，黄丽君，蒋娟娟，卓福昌，周婧.2018.DTOPSIS法在草莓品种综合评价中的应用研究[J].植物生理学报，54(5):925-930.[Li W Y,Wei Y,Kong F N,Luo P S,Zhao J,Huang L J,Jiang J J,Zhuo F C,Zhou J.2018.Study on comprehensive evaluation of strawberry varieties by DTOPSIS method[J].Plant Physiology Journal,54(5):925-930.]
李彦平，李淑君，吴娟霞，孟智勇，郭芳阳.2012.DTOPSIS法和灰色关联度法在新引烤烟新品种综合评价中的应用比较[J].中国烟草学报，18(4):35-40.[Li Y P,Li S J,Wu J X,Meng Z Y,Guo F Y.2012.Application of DTOPSISand grey relational analysis in evaluating newly introduced flue-cured tobacco varieties[J].Acta Tabacaria Sinica,18(4):35-40.]
柳枫贺，王克如，李健，王喜梅，孙亚玲，陈永生，王玉华，韩冬生，李少昆.2013.影响玉米机械收粒质量因素的分析[J].作物杂志，(4):116-119.[Liu F H,Wang K R,Li J,Wang X M,Sun Y L,Chen Y S,Wang Y H,Han D S,Li S K.2013.Analyses effected factors on quality of harvesting maize grain with combine machine[J].Crops,(4):116-119.]
马辉，戴路，刘燕.2015.灰色关联度法和DTOPSIS法在机采棉品种综合评价中的应用[J].中国棉花，42(6):27-29.[Ma H,Dai L,Liu Y.2015.Application and comparison of gray relational analysis and DTOPSIS method in the comprehensive evaluation of machine picking-up cotton varieties[J].China Cotton,42(6):27-29.]
任亮，张海涛，魏明珠，李题印.2019.基于熵权TOPSIS模型的智慧城市发展水平评价研究[J].情报理论与实践.doi:10.16353/j.cnki.1000-7490.2019.07.020.[Ren L,Zhang H T,Wei M Z,Li T Y.2019.Research on the evaluation of development level of smart city based on entropy TOPSIS Model[J].Information Studies:Theory&Application.doi:10.16353/j.cnki.1000-7490.2019.07.020.]
邵美红，程楚，程思明，韩海亮，黄惠芳，赵福成.2017.运用DTOPSIS法对鲜食甜玉米新品种在浙西北地区适应性的综合评价[J].江西农业学报，29(6):25-28.[Shao MH,Cheng C,Cheng S M,Han H L,Huang H F,Zhao FC.2017.Comprehensive evaluation of adaptability of fresh sweet maize varieties in northwest Zhejiang Province by DTOPSIS method[J].Journal of Jiangxi Agriculture,29(6):25-28.]
宋洁，李婉琳，郭华春.2017.DTOPSIS法评价44份CIP引进马铃薯新品系的适应性[J].中国马铃薯，31(4):193-200.[Song J,Li W L,Guo H C.2017.Evaluation of adaptability of 44 new potato varieties introduced by CIP by DTOPSIS method[J].Chinese Potato,31(4):193-200.]
吴志会，白玉龙，董玉武，王淑芳.2005.DTOPSIS法综合评价冀中北冬小麦新品种的初步研究[J].麦类作物学报，(6):108-111.[Wu Z H,Bai Y L,Dong Y W,Wang S F.2005.Preliminary study on comprehensive evaluation of new winter wheat varieties in central and northern Hebei by DTOPSIS method[J].Journal of Wheat Crops,(6):108-111.]
谢瑞芝，王克如，郭银巧，柴宗文，侯鹏，李少昆.2014.黄淮海夏玉米子粒机械收获研究初报[J].作物杂志，159(2):76-79.[Xie R Z,Wang K R,Guo Y Q,Chai Z W,Hou P,Li S K.2014.Research on corn mechanically harvesting grain quality in Huanghuaihai Plain[J].Crops,159(2):76-79.]
杨昆，吴才文，覃伟，赵培方，刘家勇，蔡青.2015.DTOPSIS法和灰色关联度法在甘蔗新品种综合评价中的应用比较[J].西南农业学报，28(4):1542-1547.[Yang K,Wu C W,Qin W,Zhao P F,Liu J Y,Cai Q.2015.Comparison of comprehensive evaluation sugarcane new varieties with DTOPSIS and grey related degree[J].Southwest China Journal of Agricultural Sciences,28(4):1542-1547.]
杨禹伟，陈华，姜波，左惠文.2017.一种加工番茄品质的多性状评价方法[J].中国农业大学学报，22(3):131-137.[Yang Y W,Chen H,Jiang B,Zuo H W.2017.A multicharacter evaluation method for processing tomato quality[J].Journal of China Agricultural University,22(3):131-137.]
余文远，李霖超.2015.运用灰色局势决策法综合评价鲜食大豆新品系[J].湖南农业科学，(10):26-28.[Yu W Y,Li L C.2015.Evaluation of new vegetable soybean varieties with gray situation decision method[J].Journal of Hunan Agricultural Science,(10):26-28.]
昝凯，周青，张志民，郑丽敏，王凤菊，陈亚光，李明军，徐淑霞.2018.灰色关联度和DTOPSIS法综合分析河南区域试验中大豆新品种(系)的农艺性状表现[J].大豆科学，37(5):664-671.[Zan K,Zhou Q,Zhang Z M,Zheng LM,Wang F J,Chen Y G,Li M J,Xu S X.2018.Grey correlation degree and DTOPSIS method comprehensive analysis of soybean varieties(or lines)in Henan Province regional test of agronomic traits performance[J].Journal of Soybean Science,37(5):664-671.]
左安建，王玉胜，李旭华，金保锋，叶为民，扈强，梁荣.2014.DTOPSIS法和灰色局势决策在卷烟质量综合评价中的应用[J].安徽农业科学，42(19):6385-6386.[Zuo A J,Wang Y S,Li X H,Jin B F,Ye W M,Hu Q,Liang R.2014.Application of the DTOPSIS and grey situation decision in comprehensive evaluation of cigarette quality[J].Journal of Anhui Agricultural Sciences,42(19):6385-6386.]
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