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101.
The behavior of phenolic substances in the decaying process of rice straw, ladino clover, and fanen leaves of red oak under moist conditions, and also of rice straw under various conditions were compared in the laboratory. The amounts of phenolic substances, divided into either humic acid and fulvic acid fractions, or ether-extractable, butanol-extractable and organic solvent-unextractable fractions, and the amounts of individual phenolic acids were periodically determined during incubation for 150 days. The following results were obtained.

1) The amounts and behavior of phenolic substances in various fractions differed considerably among the plant materials. The total amount of phenolic substances was remarkably larger in red oak leaves than in the others during the whole period of incubation. The amounts of phenolics in the fulvic acid fraction changed to a larger extent than those in the humic acid fraction during the decaying process of plant materials. The changes in total amount of phenolics in decaying red oak leaves and ladino clover were mainly due to changes in the level of relatively hydrophilic phenolics in the fulvic acid fraction, but the changes in decaying rice straw were mainly due to changes in the level of relatively lipophilic phenolics.

2) Rice straw and ladino clover, especially the former, contained large amounts of p-coumaric and ferulic acids, but these decreased rapidly in the early stage of the decaying process. The amounts in red oak leaves were small, but did not decrease markedly during incubation.

3) The changes in amounts of phenolics in both humic acid and fulvic acid fractions in the decaying process of rice straw were largely influenced by temperature, moisture, and pH, but not to a large extent by C/N ratio and the presence of soil. At higher temperatures under moist conditions, phenolic substances disappeared rapidly. Also, acidification of the system inhibited the degradation process.  相似文献   
102.
A field trial was conducted over a 3-year period at the Hokkaido Kitami Agricultural Experiment Station to examine whether the grain protein content (GPC) of a winter wheat cultivar (Triticum aestivum L. cv. Chihokukomugi) suitable for Japanese noodle-making could be predicted before harvest. The prediction of the GPC was accurate based on the color of the second leaf (just below the flag leaf) at the end of the emergence of the inflorescence, when nitrogen application was graded. In order to evaluate the reliability of this test, a survey of 95 wheat fields in the eastern part of Hokkaido was also carried out during a 3-year period. The prediction of the GPC for this cultivar based on the color of the second leaf was less accurate across many sites. The results of this survey, however, suggested that the leaf color could be used as an index for ranking the GPC as low or high in relation to processing requirements. When the leaf color value of the second leaf measured with a chlorophyll meter at the end of the emergence of the inflorescence was less than 40, it was predicted that the GPC would be lower than the processing requirement. This index could be applied to the cultivars grown in the eastern part of Hokkaido, except for those grown on peat soils.  相似文献   
103.
Abstract

A water culture pot experiment was conducted to analyze the effects of N application during the ripening period (RP) on photosynthesis, dry matter production, and its impact on grain ripening and yield in two semidwarf indica type varieties viz. Gui Zhao 2 (GZ) and BR3 (BR) compared with a japonica type variety Koganemasari (KO) under four N rates viz. 0 (N0), 10 (N10), 20 (N20), and 40 (N40) mg L?1. Results showed that N application enabled to maintain a higher leaf area and delay leaf senescence in both indica and japonica type varieties but the decrease in the rate, of leaf area was higher in the former than in the latter and the rate was reduced with increasing N rates. Flag leaf photosynthesis and SPAD values of N treated plants were higher throughout the RP, showing the presence of a significant correlation either for each variety or all the varieties together. Higher photosynthetic rate was supported by higher leaf chlorophyll (SPAD value basis) content, stomatai conductance, and N concentration in leaf blades. Top dry matter content increased with increasing N rates mainly due to mean leaf area rather than NAR except for BR during RP but it was higher in KO than in GZ and BR. Reduction of shoot weight due to translocation of dry matter to panicles during RP was suppressed by N rates both in GZ and BR while shoot weight increased in the N-treated plants in KO. The dependency of KO on current photosynthates for panicle weight was found to be almost hundred percent while the contribution of stored carbohydrates in shoot before heading to panicle weight in GZ and BR was in the range of 4-27 and 33-54%, respectively and the rest was contributed by current photosynthates. The percentage increased with increasing N rates. Percentage of ripened grains (PRG) increased with increasing N rates in GZ and BR due to the increase in dry matter production and in the photosynthetic rates of apex leaves, despite the larger spikelet number and larger hull size. However, KO showed almost no variation although it had the highest PRG among the varieties. Brown rice yield followed the same pattern as that of PRG in GZ and BR and the highest yield was produced by BR followed by GZ and KO. These results suggest that N application during RP was more effective in increasing yield in the semidwarf indica type varieties than in the japonica type variety.  相似文献   
104.
近年来,高光谱遥感数据广泛应用于农作物叶面积指数(LAI)反演。与常用的多光谱遥感数据相比,高光谱数据能否提高农作物LAI反演的精度和稳定性还存在争议。针对这一问题,该研究利用实测冬小麦冠层高光谱反射率数据,构造了不同光谱分辨率和波段组合的5种光谱数据。基于ACRM(a two-layer canopy reflectance model)模型、2套参数化方案及上述5种光谱数据,对冬小麦LAI进行反演,分析光谱分辨率、高光谱数据波段选择、模型参数不确定性3方面因素对LAI反演精度与稳定性的影响。研究结果表明:当波段选择适宜、模型参数不确定性较小且光谱数据分辨率较高时,LAI反演精度与稳定性更高,提高光谱分辨率对LAI反演精度的改进作用随光谱分辨率的升高而降低;反之,当高光谱数据波段选择不当或者模型参数不确定性较大时,提高光谱数据的分辨率并未提高LAI反演精度。该研究解释了"高光谱遥感数据能否提高植被参数反演精度"问题,为进一步发挥高光谱数据在农作物LAI反演中的潜力提供了科学参考。  相似文献   
105.
基于图像处理技术的小麦叶面积指数的提取   总被引:7,自引:7,他引:7  
为了较好地模拟叶面积指数的变化动态,在大田条件下进行试验,获取5个品种5个密度下不同发育期的小麦群体冠层数字图像,并手工测得实际叶面积。通过研究设计了复杂背景下小麦冠层图像叶面指数的有效提取方法,将图像处理得到的叶面积指数数据与实际测得的数据进行拟合建立模型。结果表明:品种、密度和发育期的差异对拟合模型参数影响显著,对模型经过随机抽取样本图像进行假设检验,均能够通过检验。模型的相关系数平方均达到0.86以上,能够实现高精度的小麦冠层叶面积指数的估测。  相似文献   
106.
水稻白转绿突变体的特性、遗传及其育种应用   总被引:2,自引:1,他引:2  
对通过辐射诱变获得的具有白化转绿特性的水稻光温敏核不育突变体的遗传及其生物学特性进行了研究。结果表明,这些突变体可分为3种类型:白化转绿类型(W2、W3、W4和W10),白化转黄绿类型(W9)和白化转绿后期转白复绿类型(W1和W7)。这些突变体的白转绿特性都是受一对隐性基因控制,具有与原不育系“培矮64S”相似的农艺性状和育性转换特性,它们的杂种具有与原杂交稻相似的株叶形态,分蘖和株高生长动态,但是它们的产量构成因素依不同的突变系而表现不同,其中W1、W2和W3的杂种具有与原杂交稻相似的产量潜力,具有较好的育种应用价值。  相似文献   
107.
研究光温条件和土壤湿度对栓皮栎幼苗叶片蒸腾的影响程度,以及太阳辐射、蒸腾和对流换热对叶温形成的贡献.用盆栽遮雨和称量法,控制土壤干旱胁迫水平(体积含水量)为轻度(12.5% ~ 14.5%)、中度(9.5%~11.5%)和重度(5.5%~7.5%),并分别在自然和人工气候箱(温度控制在25 ~ 43℃)的环境下测定蒸腾速率和气象因子;用热量分析方法,定量确定各因子对叶温差的贡献.结果表明:1)轻度干旱下,蒸腾速率与正常土壤水分下相近,重度干旱胁迫下蒸腾速率降到1.5 mmol/(m2·s)以下;2)晴天的蒸腾速率与太阳辐射关系密切,呈正相关,不同土壤水分胁迫下的斜率不同,表明太阳辐射是蒸腾的主导因子;3)多云天时,蒸腾速率与太阳辐射的线性关系明显下降,说明白天蒸腾一旦开始,蒸腾速率不因短时间的太阳辐射下降而降低;4)在3个土壤干旱水平下,气温都不是蒸腾的主导因子.人工气候箱试验条件下,蒸腾速率虽与气温线性关系明显,但蒸腾速率明显小于晴天自然条件下.同时也说明,轻度干旱不影响栓皮栎蒸腾;在静风条件下,太阳辐射是栓皮栎叶温变化的主导因子,可使叶温变化7℃左右,占叶温变化的50%~70%;蒸腾潜热和对流换热项可使叶温变化1 ~2℃左右,各占叶温变化的10% ~20%.本研究为构建栓皮栎的WSI,以及用叶气温差诊断栓皮栎土壤水分提供理论依据.  相似文献   
108.
Commercial cultivation of Bt cotton produced higher boll load which led to stiff inter-original competition for photosynthates, resulting in early cessation of growth (premature senescence) due to more availability of sink and less sources. To overcome this problem, field experiment was conducted during 2011 and 2012 using five treatments of plant growth manipulation viz. no fruiting branch removal (F1), removal of first fruiting branch (F2), removal of first and second fruiting branch (F3), removal of all squares from first fruiting branch (F4), removal of all squares from first and second fruiting branches (F5), and three potassium (K) application rates viz. 50 kg ha?1 (K1), 100 kg ha?1 (K2), and 150 kg ha?1 (K3). More nodes above white flower were recorded in F5, followed by F3, while minimum were recorded in F1. Among potassium levels, maximum nodes above white flower were recorded in K3 followed by K2 and K1 during both years of study. Plant height recorded at physiological cutout stage or at maturity stage showed that plants gained more height with removal of all squares from first tosecond fruiting branches with higher potassium dose. Leaf K increased with increasing applied potassium and also with square/branch removal. So early removal of squares/fruiting branches along with higher potassium dose helped in delaying canopy senescence in Bt cotton.  相似文献   
109.
快速、无损地估算盐生植物叶片盐离子含量在植物生长监测、耐盐植物筛选和土壤盐渍化监测等方面有实用价值。该研究以新疆艾比湖保护区内盐生植物为研究对象,通过分析植物叶片盐离子(K~+、Na~+、Ca~(2+)、Mg~(2+))含量与冠层高光谱数据的光谱变换和二维植被指数(比值型植被指数(ratiovegetationindex,RVI)、差值型植被指数(difference vegetation index,DVI)、归一化型植被指数(normalized difference vegetation index,NDVI))的相关性选取特征波段,构建基于地理加权回归模型(geographically weighted regression,GWR)的叶片盐离子含量估算模型,并与BP神经网络模型(back propagation neural network)进行对比,研究基于GWR模型估算干旱区盐生植物叶片盐离子的可行性。结果表明,选取特征波段集中表现在红及短波红外波段:K~+含量在反射率倒数的对数选取的红光区域内波段使用GWR估算效果最佳;Na~+的特征波段在光谱变换下集中于短波红外区域,二维植被指数集中在近红外、短波近红外及黄、橙、红区域,各种波段选取下GWR对Na~+的含量估算均有较好效果,但反射率对数的一阶估算效果最好;Ca~(2+)含量在反射率平方根的一阶微分下选取的短波红外波段通过GWR模型估算效果最好;Mg~(2+)含量在DVI选取的位于红光区域特征波段估算效果最佳,但使用GWR模型对Mg~(2+)的估算精度不及BP模型。分析基于GWR盐离子模型估算模型发现,含量较高的离子估算效果更好,K~+、Na~+的模型精度优于Ca~(2+)、Mg~(2+)。在使用GWR模型估算植物叶片盐离子含量时,特征波段均指向红及短波红外波段,符合植被光谱机理的响应。  相似文献   
110.
通过研究不同氮素水平下滴灌苜蓿叶片形态特征、光合日变化规律,分析不同施氮水平下滴灌苜蓿光合日变化、叶片形态与干物质产量的关系,以期进一步揭示施氮对紫花苜蓿干物质及产量形成的影响机制,进而为优化实际生产中紫花苜蓿的氮管理策略提供理论依据。采用单因素随机区组设计,设置0(CK)、60(N1)、120(N2)和180kg·hm-2(N3)共4个施氮水平,在紫花苜蓿初花期对光合日变化、叶片形态、叶片氮含量和苜蓿产量构成进行测定。结果表明,施氮处理下苜蓿的叶片净光合速率、蒸腾速率和水分利用效率均高于不施氮处理,施氮处理的苜蓿叶片胞间CO2浓度低于不施氮处理。对净光合速率和蒸腾速率综合影响最大的环境因子是光合有效辐射。随着施氮量的增加,紫花苜蓿的叶长、叶宽、叶面积、比叶重,以及叶片干重、茎秆干重、干物质产量、叶片氮含量、淀粉和可溶性糖含量均呈先增加后降低的趋势。不同施氮水平下,对叶片形态结构影响最大的为叶面积,其次分别为比叶重、叶长和叶宽,对苜蓿干物质产量影响从大到小依次为叶片氮含量>...  相似文献   
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