發(fā)布時(shí)間：2018-05-20 09:16

  本文選題：低溫脅迫 + 冬小麥　； 參考：《山西農(nóng)業(yè)大學(xué)》2015年碩士論文

【摘要】：本試驗(yàn)以花盆種植冬小麥為研究對(duì)象,通過(guò)對(duì)拔節(jié)期冬小麥進(jìn)行低溫脅迫處理,并測(cè)定其冠層光譜及生理參數(shù)并分析其變化規(guī)律,建立光譜參數(shù)與生理參數(shù)的定量關(guān)系,構(gòu)建基于特征光譜參數(shù)的低溫脅迫后冬小麥生理參數(shù)的預(yù)測(cè)模型。結(jié)果表明：1、在不同低溫脅迫處理后,冬小麥冠層光譜發(fā)生顯著變化。初期近紅外波段波動(dòng)大,反射率有較大升高,并且隨低溫脅迫處理溫度與時(shí)間的加劇而升高。而可見(jiàn)光波段,短期內(nèi)差異不明顯,但伴隨著生育期的進(jìn)行,黃、紅波段開(kāi)始出現(xiàn)水平趨勢(shì),同時(shí)近紅外波段差異縮小。這表明冬小麥冠層光譜對(duì)低溫脅迫的響應(yīng)是敏感的。冬小麥冠層光譜一階微分反射率在500-550 nm、700-750 nm處都有一個(gè)反射峰,而在550-600 nm之間存在一個(gè)波谷。低溫脅迫后,與對(duì)照組相比,峰值降低,波谷漸近平緩。此外,紅邊位置向短波方向移動(dòng),T4和T5紅邊位置向短波方向移動(dòng)了1 nm,T6紅邊位置移動(dòng)了2 nm,發(fā)生了“藍(lán)移”現(xiàn)象。2、不同低溫脅迫處理下,冬小麥的葉綠素含量、類胡蘿卜素、葉面積指數(shù)、地上生物量與含水量各項(xiàng)生理參數(shù)都出現(xiàn)一定的變化。低溫脅迫后,葉綠素含量、類胡蘿卜素和植株含水量均有所降低,并隨著脅迫處理溫度的降低和時(shí)間的延長(zhǎng),其損失程度更加嚴(yán)重。葉面積指數(shù)與生物量雖然隨著植株發(fā)育的健全逐步升高,但同一時(shí)期下,隨著低溫脅迫程度加深,其降低程度更加明顯。3、脅迫后5天冬小麥葉綠素含量與FDDVI(460,1095)、FDDVI(463,1095)、FDMSAVI(463, 1095)相關(guān)性最好;類胡蘿卜素含量與FDDVI(675,1096)、FDMSAVI(675,1096)相關(guān)性最好,葉面積指數(shù)與FDDVI(671,947)、FDRDVI(673,947)相關(guān)性最好;地上生物量與FDDVI(674,866)、 FDMSAVI(674,866)相關(guān)性最好;水分含量與FDRVI(677,968)、FDNDVI(677,968)相關(guān)性最好。脅迫后10天冬小麥葉綠素含量與FDRVI(678,883)、FDRVI(735,883)、FDNDVI(678,883)相關(guān)性最好；類胡蘿卜素含量與FDDVI(730,992)、FDRDVI(730,992)、FDMSAVI(730,992)相關(guān)性最好,葉面積指數(shù)與FDRVI(681,884)、FDNDVI(681,884)相關(guān)性最好;地上生物量與FDDVI(781,673)相關(guān)性最好;水分含量與FDDVI(682,811)、FDRVI(682,811)、FDMSAVI(682,1119)相關(guān)性最好。脅迫后20天冬小麥葉綠素含量與FDRVI(667,1193)、FDRVI(684,1193)、FDNDVI(684,1193)相關(guān)性最好：類胡蘿卜素含量與FDDVI(672,1174)、FDMSAVI(672,1174)相關(guān)性最好,葉面積指數(shù)與FDDVI (673,1009)、FDRDVI(673,1009)、FDMSAVI (673,1009)相關(guān)性最好;地上生物量與FDDVI(670,883)相關(guān)性最好；水分含量與FDDVI(747,1183)、FDDVI(747,1031)、FDMSAVI(747, 1031)、FDMSAVI(747,1183)相關(guān)性最好。葉綠素含量、類胡蘿卜素、葉面積指數(shù)、地上生物量、與水分含量均顯示出與光譜的相關(guān)性達(dá)到顯著。根據(jù)已選出的植被指數(shù)模型可以得出,低溫脅迫后5天到10天階段,植被指數(shù)模型可見(jiàn)光波段向長(zhǎng)波方向移動(dòng),脅迫后10天到20天可見(jiàn)光波段向短波方向發(fā)生移動(dòng)。各項(xiàng)生理指標(biāo)植被指數(shù)模型均表現(xiàn)出這一規(guī)律。這一規(guī)律也同生理指標(biāo)含量在脅迫后的變化一致,說(shuō)明在脅迫后初期,凍害影響明顯,但隨著生育期的進(jìn)行,植株本身出現(xiàn)恢復(fù),凍害影響逐漸減弱。4、以響應(yīng)生理參數(shù)為基礎(chǔ)建立的光譜參數(shù)監(jiān)測(cè)模型,其最佳光譜參數(shù)為FDDVI(460,1095)、 FDMSAVI(672,1174)、FDDVI(671,947)、FDDVI(674,866)、FDDVI(747,1031)。
[Abstract]:In this experiment, winter wheat planted in flowerpot was treated with low temperature stress on Winter Wheat at jointing stage, and its canopy spectral and physiological parameters were measured and its variation regularity was analyzed. The quantitative relationship between spectral parameters and physiological parameters was established, and the prediction model of physiological parameters of Winter Wheat Based on characteristic spectral parameters was constructed. The results showed that: 1, the canopy spectrum of winter wheat changed significantly after the treatment of different low temperature stress. The initial near infrared wave band fluctuated greatly, the reflectivity was higher, and the temperature and time increased with the treatment of low temperature stress. But the visible light band was not obvious in the short term, but the yellow and red band began with the growth period. There is a horizontal trend, and the difference in the near infrared band is reduced. This indicates that the canopy spectrum of winter wheat is sensitive to the response to low temperature stress. The first order differential reflectance of winter wheat canopy spectrum has a reflection peak at 500-550 nm and 700-750 nm, and there is a wave valley between 550-600 nm. The peak value decreases compared with the control group after low temperature stress. In addition, the red edge position moves to short wave direction, the position of red edge of T4 and T5 moves 1 nm in the direction of short wave, and the position of T6 red edge moves 2 nm, and the "blue shift" phenomenon occurs.2. The chlorophyll content, carotenoid, leaf area index, aboveground biomass and water content of Winter Wheat under different low temperature stress treatments are treated with different low temperature stress. The amount of chlorophyll, carotenoid and plant water content decreased after low temperature stress, and the loss degree was more serious with the decrease of stress treatment temperature and the prolongation of time. The leaf area index and biomass increased gradually with the development of plant, but under the same period, with low hypothermia. The degree of coercion was deepened and its degree of reduction was more obvious. The chlorophyll content of 5 days after stress was the best correlation with FDDVI (4601095), FDDVI (4631095), FDMSAVI (463, 1095), and the best correlation between carotenoid content and FDDVI (6751096), FDMSAVI (6751096). The leaf area index was the best correlation with FDDVI (671947) and FDRDVI (673947); up to earth. The correlation is best with FDDVI (674866) and FDMSAVI (674866); water content is the best correlation with FDRVI (677968) and FDNDVI (677968). The correlation of chlorophyll content in 10 days of Winter Wheat with FDRVI (678883), FDRVI (735883), FDNDVI (678883) is the best, and the content of carotenoids is related to FDDVI (730992), FDRDVI (730992), FDMSAVI (730992)). Best sex, leaf area index is the best correlation with FDRVI (681884), FDNDVI (681884); aboveground biomass is the best correlation with FDDVI (781673); water content is the best correlation with FDDVI (682811), FDRVI (682811), FDMSAVI (6821119). The correlation between chlorophyll content of 20 Winter Wheat after stress and FDRVI (6671193), FDRVI (6841193), FDNDVI (6841193)) Best: the correlativity between carotenoid content and FDDVI (6721174), FDMSAVI (6721174) is the best, leaf area index is the best correlation with FDDVI (6731009), FDRDVI (6731009), FDMSAVI (6731009); the aboveground biomass is the best correlation with FDDVI (670883); water content and FDDVI (7471183), FDDVI (7471031), FDMSAVI (747, 1031), FDMSAVI (747118), FDMSAVI (747118). 3) the correlation is best. Chlorophyll content, carotenoid, leaf area index, aboveground biomass, and water content all show a significant correlation with the spectrum. According to the selected vegetation index model, it can be obtained from 5 to 10 days after low temperature stress, and the visible light band of the vegetation index model moves toward the long wave direction, 10 days to 2 after stress. In the 0 day, the visible light band moved to the short wave direction. The vegetation index model of various physiological indexes showed this rule. This rule was also the same as the physiological index content after stress, which indicated that the frost damage was obviously affected in the early stage of stress, but the plant plant itself recovered with the growth period, and the effect of frost damage gradually weakened.4. The spectral parameters monitoring model based on the physiological parameters is based on the optimal spectral parameters of FDDVI (4601095), FDMSAVI (6721174), FDDVI (671947), FDDVI (674866), and FDDVI (7471031).
【學(xué)位授予單位】：山西農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：S127;S512.11

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本文編號(hào)：1914035