In this paper,based on the study of Chenopodium quinoa Willd.planting,it is concluded that the current situations of large-scale development of C.quinoa Willd.include the following four aspects:first,the research on C...In this paper,based on the study of Chenopodium quinoa Willd.planting,it is concluded that the current situations of large-scale development of C.quinoa Willd.include the following four aspects:first,the research on C.quinoa Willd.varieties needs to be strengthened;second,it is insufficient to master the training environment and cultivation techniques;third,the large-scale planting of C.quinoa Willd.is not enough;fourth,the degree of mechanization of C.quinoa Willd.planting is not enough.In view of the above situation,this paper puts forward the following effective suggestions to strengthen the large-scale development of C.quinoa Willd.:the first is to increase the investment in C.quinoa Willd.variety research;the second is to strengthen the analysis of introduction and screening of C.quinoa Willd.varieties;the third is to study the best planting environment and cultivation techniques of C.quinoa Willd.;the fourth is to increase the scale of mechanized production of C.quinoa Willd.;the fifth is to increase the research and development of C.quinoa Willd.related products and their deep processing technology.展开更多
This study was conducted to find a method for rapid determination of fat content in complete quinoa （ Chenopodium quinoa Willd） seeds. The near infrared spectra of 100 quinoa samples were collected, and a mathematic...This study was conducted to find a method for rapid determination of fat content in complete quinoa （ Chenopodium quinoa Willd） seeds. The near infrared spectra of 100 quinoa samples were collected, and a mathematic model was built using the near infrared spectra, so as to perform prediction. The results showed that within the wavelength range of 1 0 000-4 000 cm ^-1 , the quantification model of fat content built by first derivative ＋vector normalization spectral pre-processing had better calibration and prediction effects, and showed a determination coefficient of cross validation （ r cv^ 2 ） of 0.939 3 and a determination coefficient of validation （ rval^2 ） of 0.923 5. The near infrared spectral model of fat could be used for rapid detection of fat contents in quinoa.展开更多
This study was conducted to establish a method for rapid determination of crude starch content in complete quinoa （ Chenopodium quinoa Willd） seeds. The near infrared spectra of 100 quinoa samples were collected, an...This study was conducted to establish a method for rapid determination of crude starch content in complete quinoa （ Chenopodium quinoa Willd） seeds. The near infrared spectra of 100 quinoa samples were collected, and a mathematic model was built using the near infrared spectra within the wavelength range of 1 0 000-4 000 cm^-1 by first derivative ＋vector normalization spectral pre-processing. The results showed that the quantification model of starch content had better calibration and prediction effects, and showed a determination coefficient of cross validation （ r^2 cv ） of 0.914 7 and a determination coefficient of validation （ r^2 val ） of 0.903 1. The determination of starch content in complete quinoa seeds by near infrared spectroscopy is totally feasible.展开更多
为研究硼(B)对藜麦生理特性的影响,进行喷施硼肥盆栽试验。选用3个藜麦品种(晋藜1号、晋藜2号、晋藜3号),在拔节期进行叶面喷施0%(CK)、0.1%(B_(1))、0.2%(B_(2))、0.3%(B_(3))的硼酸溶液50 mL 2次。结果表明,相同生长期内,随着施硼量...为研究硼(B)对藜麦生理特性的影响,进行喷施硼肥盆栽试验。选用3个藜麦品种(晋藜1号、晋藜2号、晋藜3号),在拔节期进行叶面喷施0%(CK)、0.1%(B_(1))、0.2%(B_(2))、0.3%(B_(3))的硼酸溶液50 mL 2次。结果表明,相同生长期内,随着施硼量的增加,藜麦叶片SOD活性逐渐下降,POD活性先升高后降低,CAT活性逐渐升高。相同浓度条件下,随生长期延长,3种酶活性均表现为先升高后降低。在灌浆期,3个藜麦品种SOD活性最高;硼浓度为0.3%时,与对照相比,3个藜麦品种叶片SOD活性分别降低21.24%、15.26%、10.33%。整体来看,3个藜麦品种叶片POD活性在抽穗期最高;硼浓度为0.3%时,与对照相比,3个藜麦品种叶片POD活性分别提高-3.99%、-5.21%、5.28%。3个藜麦品种叶片CAT活性在灌浆期最高;硼浓度为0.3%时,与对照相比,3个藜麦品种叶片CAT活性分别提高25.31%、26.19%、29.48%。说明施硼可以调节藜麦抗氧化酶水平,提高藜麦的抗逆性,缓解缺硼对藜麦生长造成的不利影响。总体来看,当硼浓度为0.3%时,3个藜麦品种生理特性良好。实际生产中,应选用0.3%的硼较合适。展开更多
文摘In this paper,based on the study of Chenopodium quinoa Willd.planting,it is concluded that the current situations of large-scale development of C.quinoa Willd.include the following four aspects:first,the research on C.quinoa Willd.varieties needs to be strengthened;second,it is insufficient to master the training environment and cultivation techniques;third,the large-scale planting of C.quinoa Willd.is not enough;fourth,the degree of mechanization of C.quinoa Willd.planting is not enough.In view of the above situation,this paper puts forward the following effective suggestions to strengthen the large-scale development of C.quinoa Willd.:the first is to increase the investment in C.quinoa Willd.variety research;the second is to strengthen the analysis of introduction and screening of C.quinoa Willd.varieties;the third is to study the best planting environment and cultivation techniques of C.quinoa Willd.;the fourth is to increase the scale of mechanized production of C.quinoa Willd.;the fifth is to increase the research and development of C.quinoa Willd.related products and their deep processing technology.
基金Supported by Special Fund for the Protection and Utilization of Crop Germplasm Resources of the Ministry of Agriculture(2017NWB036-20)Key Project of Shanxi Academy of Agricultural Sciences(YGG17064)Key Research Plan Project of Shanxi Province(201603D21102)
文摘This study was conducted to find a method for rapid determination of fat content in complete quinoa （ Chenopodium quinoa Willd） seeds. The near infrared spectra of 100 quinoa samples were collected, and a mathematic model was built using the near infrared spectra, so as to perform prediction. The results showed that within the wavelength range of 1 0 000-4 000 cm ^-1 , the quantification model of fat content built by first derivative ＋vector normalization spectral pre-processing had better calibration and prediction effects, and showed a determination coefficient of cross validation （ r cv^ 2 ） of 0.939 3 and a determination coefficient of validation （ rval^2 ） of 0.923 5. The near infrared spectral model of fat could be used for rapid detection of fat contents in quinoa.
基金Supported by Special Fund for the Protection and Utilization of Crop Germplasm Resources of the Ministry of Agriculture(2017NWB036-20)Key Project of Shanxi Academy of Agricultural Sciences(YGG17064)Key Research Plan Project of Shanxi Province(201603D21102)
文摘This study was conducted to establish a method for rapid determination of crude starch content in complete quinoa （ Chenopodium quinoa Willd） seeds. The near infrared spectra of 100 quinoa samples were collected, and a mathematic model was built using the near infrared spectra within the wavelength range of 1 0 000-4 000 cm^-1 by first derivative ＋vector normalization spectral pre-processing. The results showed that the quantification model of starch content had better calibration and prediction effects, and showed a determination coefficient of cross validation （ r^2 cv ） of 0.914 7 and a determination coefficient of validation （ r^2 val ） of 0.903 1. The determination of starch content in complete quinoa seeds by near infrared spectroscopy is totally feasible.
文摘为研究硼(B)对藜麦生理特性的影响,进行喷施硼肥盆栽试验。选用3个藜麦品种(晋藜1号、晋藜2号、晋藜3号),在拔节期进行叶面喷施0%(CK)、0.1%(B_(1))、0.2%(B_(2))、0.3%(B_(3))的硼酸溶液50 mL 2次。结果表明,相同生长期内,随着施硼量的增加,藜麦叶片SOD活性逐渐下降,POD活性先升高后降低,CAT活性逐渐升高。相同浓度条件下,随生长期延长,3种酶活性均表现为先升高后降低。在灌浆期,3个藜麦品种SOD活性最高;硼浓度为0.3%时,与对照相比,3个藜麦品种叶片SOD活性分别降低21.24%、15.26%、10.33%。整体来看,3个藜麦品种叶片POD活性在抽穗期最高;硼浓度为0.3%时,与对照相比,3个藜麦品种叶片POD活性分别提高-3.99%、-5.21%、5.28%。3个藜麦品种叶片CAT活性在灌浆期最高;硼浓度为0.3%时,与对照相比,3个藜麦品种叶片CAT活性分别提高25.31%、26.19%、29.48%。说明施硼可以调节藜麦抗氧化酶水平,提高藜麦的抗逆性,缓解缺硼对藜麦生长造成的不利影响。总体来看,当硼浓度为0.3%时,3个藜麦品种生理特性良好。实际生产中,应选用0.3%的硼较合适。
