植株叶绿素无损诊断技术研究进展
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摘要
氮素是作物生长发育必不可少的营养元素之一,植物叶片中70%～80%的氮素存在于叶绿体内,所以叶绿素含量可以反映植物的氮素营养状况。本研究介绍了植株叶绿素的传统检测技术,指出其在推广应用中存在的问题;归纳总结了国内外植株叶绿素无损诊断技术方面的研究应用进展;分析了植株叶绿素无损诊断技术在作物氮素营养诊断及推荐施肥中的意义。最后得出叶绿素仪分析技术更适于推广应用,并指出基于光学漫反射理论的植株叶片叶绿素无损诊断技术极有发展前途。
Nitrogen is one of the essential nutrient elements for crop growing and development,70%-80% of the nitrogen in plant leaves is found in chloroplast.So the chlorophyll content can reflect the nitrogen nutrition status in plants.The study introduced the traditional detection technology of chlorophyll in plants,pointed out the problems in the promotion and application,summarized the research progress on the nondestructive diagnostic technique of chlorophyll in plant at home and abroad,and analyzed the significance of nondestructive diagnostic technique of chlorophyll in diagnosing the nitrogen nutrition in plants and the fertilization recommendation.In conclusion,the chlorophyll analysis technology is more suitable for application,and the nondestructive diagnostic technique of chlorophyll based on optical diffuse reflectance theory is very promising.
Nitrogen is one of the essential nutrient elements for crop growing and development,70%-80% of the nitrogen in plant leaves is found in chloroplast.So the chlorophyll content can reflect the nitrogen nutrition status in plants.The study introduced the traditional detection technology of chlorophyll in plants,pointed out the problems in the promotion and application,summarized the research progress on the nondestructive diagnostic technique of chlorophyll in plant at home and abroad,and analyzed the significance of nondestructive diagnostic technique of chlorophyll in diagnosing the nitrogen nutrition in plants and the fertilization recommendation.In conclusion,the chlorophyll analysis technology is more suitable for application,and the nondestructive diagnostic technique of chlorophyll based on optical diffuse reflectance theory is very promising.
引文
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[15]袁金国,牛铮.基于Hyperion高光谱图像的氮和叶绿素制图[J].农业工程学报,2007,23(4):172-178.
[16]冯伟,姚霞,朱燕,等.基于高光谱遥感的小麦叶片含氮量监测模型研究[J].麦类作物学报,2008,28(5):851-860.
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[21]吕杰,汪康宁,李崇贵,等.基于高光谱遥感的玉米叶绿素含量估测模型[J].中国矿业大学学报,2016,45(2):405-410.
[22]于静,李斐,樊明寿,等.主动作物冠层传感器GreenSeeker在马铃薯氮素营养诊断中应用的可行性分析[J].中国蔬菜,2012,8:20-25.
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[25]王秀,赵春江,周汉昌,等.冬小麦生长便携式NDVI测量仪的研制和试验[J].农业工程学报,2004,20(4):95-98.
[26]郝晓剑,周汉昌,刘良云,等.归一化植被指数测量仪的研制与应用[J].中北大学学报:自然科学版,2006,27(5):452-455.
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[28]李修华,张峰,李民赞,等.四波段作物冠层分析仪设计[J].农业机械学报,2011,42(11):169-173.
[29]崔建升,吕鹏翼,段莉丽,等.海水叶绿素现场检测仪的研制及性能研究[J].分析仪器,2014,1:12-16.
[30]周丽娜,程树朝,于海业,等.初期稻叶瘟病害的叶绿素荧光光谱分析[J].农业机械学报,2017,48(2):203-207.
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[32] Uddling J, Gelang-Alfredsson J, Piikki K, et al. Evaluating therelationship between leaf chlorophyll concentration and SPAD-502chlorophyll meter readings[J].Photosynthesis research,2007,91(1):37-46.
[33] Campbell R J, Mobley K N, Marini R P. Crowing conditions alterthe relationship between SPAD-501 values and apple leafchlorophyll[J].Hortscience,1990,25(3):330-331.
[34]雷泽湘,艾天成,李芳敏,等.草莓叶片叶绿素含量、含氮量与SPAD值间的关系[J].湖北农学院学报,2001,21(2):138-140.
[35]王娟,韩登武,任岗,等.SPAD值与棉花叶绿素和含氮量关系的研究[J].新疆农业科学,2006,43(3):167-170.
[36]李海云,任秋萍,孙淑娥,等.10种园林树木叶绿素与SPAD值相关性研究[J].林业科技,2009,34(3):68-70.
[37]薛香,吴玉娥.小麦叶片叶绿素含量测定及其与SPAD值的关系[J].湖北农业科学,2010,49(11):2701-2702.
[38]李辉,白丹,张卓,等.羊草叶片SPAD值与叶绿素含量的相关分析[J].中国农学通报,2012,28(2):27-30.
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