Influence of AM fungi on the growth and physiological status of Erythrina variegata Linn. grown under different water stress conditions     

P.T. Manoharan  V. Shanmugaiah  N. Balasubramanian  S. Gomathinayagam  Mahaveer P. Sharma  K. Muthuchelian 《European Journal of Soil Biology》2010,46(2):151-156

The present study investigated the effects of arbuscular mycorrhizal (AM) fungus, Glomus mosseae on the growth and physiology state of Erythrina variegata Linn, grown in sandy loam soil with four water stress levels viz. ?0.06 MPa (well watered/control), ?1.20 MPa (mild), ?2.20 MPa (moderate) and ?3.20 MPa (severe) in a completely randomized design. Plants were harvested after 90 days (60 days after stress induction) of growth. Growth parameters (root &, shoot, dry weight and, leaf area); physiological parameters (chlorophyll content, carotenoids, soluble starch, sugar, protein and proline in shoots); and microbiological parameter (percentage of mycorrhizal infection) were determined. AM fungal plants had significantly higher plant biomass, higher chlorophyll content (chlorophyll a and b), carotenoids and protein content in shoots than non-AM-plants. The AM-inoculation in stressed plants significantly declined the soluble sugar and starch in shoots. Moreover, AM-inoculation also reduced the proline accumulation in shoots and the reduction was significant when plants were severely stressed (?3.2 MPa). Mycorrhizal colonization in roots of E. variegata depressed significantly due to increased water stress. However, the AM colonization did not decline below 11% and enabled the plants to maintain osmotic adjustments and enhanced the plants tolerance against water stress.  相似文献   

Volatile Compounds of Dry Beans (<Emphasis Type="Italic">Phaseolus vulgaris</Emphasis> L.)     

Oomah BD  Liang LS  Balasubramanian P 《Plant foods for human nutrition (Dordrecht, Netherlands)》2007,62(4):177-183

Volatile compounds of uncooked dry bean (Phaseolus vulgaris L.) cultivars representing three market classes (black, dark red kidney and pinto) grown in 2005 were isolated with headspace solid phase microextraction (HS-SPME), and analyzed with gas chromatography mass spectrometry (GC-MS). A total of 62 volatiles consisting of aromatic hydrocarbons, aldehydes, alkanes, alcohols and ketones represented on average 62, 38, 21, 12, and 9 x 10(6) total area counts, respectively. Bean cultivars differed in abundance and profile of volatiles. The combination of 18 compounds comprising a common profile explained 79% of the variance among cultivars based on principal component analysis (PCA). The SPME technique proved to be a rapid and effective method for routine evaluation of dry bean volatile profile.  相似文献   

Epigenomic enhancer profiling defines a signature of colon cancer     

Akhtar-Zaidi B  Cowper-Sal-lari R  Corradin O  Saiakhova A  Bartels CF  Balasubramanian D  Myeroff L  Lutterbaugh J  Jarrar A  Kalady MF  Willis J  Moore JH  Tesar PJ  Laframboise T  Markowitz S  Lupien M  Scacheri PC 《Science (New York, N.Y.)》2012,336(6082):736-739

  相似文献   

Biophysical and socio‐economic causes for increasing fallow land in Tamil Nadu          下载免费PDF全文

S. Dharumarajan  M. Lalitha  A. Natarajan  L. G. K. Naidu  R. Balasubramanian  R. Hegde  R. Vasundhara  K. S. Anil Kumar  S. K. Singh 《Soil Use and Management》2017,33(3):487-498

The question of increasing fallow land assumes significance at national and international levels due to the decline in net cultivated area and increasing population. Biophysical characteristics of farmland and socio‐economic conditions of farmers are responsible for the increasing fallow. This study was carried out to assess the extent of permanent fallow and identify causes for its increase. High‐resolution remote sensing data were used to identify fallow land in two identified blocks of south India, viz. Nanguneri and Kangeyam. The land resources were characterized, and the specific biophysical and socio‐economic factors responsible for the increasing fallow land were assessed. Multiple regression analysis was carried out to identify the factors responsible for increasing fallows. Soil parameters such as erosion, soil texture, soil depth and available nitrogen contributed significantly (P > 0.05) to the increase in fallow land. The size of farm holding, number of farm fragments, distance from the road in Nanguneri and farm size and the distance to the nearest town in Kangeyam were socio‐economic factors that had a strong effect (P > 0.01) on increasing the fallow land. Variable importance rankings in random forest analysis indicated that soil erosion and soil pH had the largest impact on the decision to fallow land in Nanguneri and Kangeyam blocks, respectively. Based on biophysical and socio‐economic constraints, the land resources of fallow land were evaluated for other alternate land use options and policy measures were suggested.  相似文献   

A simple,rapid and solvent free nucleic acid extraction protocol for detection of banana bunchy top virus by polymerase chain reaction and loop-mediated isothermal amplification     

Ramasamy Selvarajan  Veluswamy Balasubramanian  Thirunavukarasu Sasireka 《European journal of plant pathology / European Foundation for Plant Pathology》2015,142(2):389-396

  相似文献   

Chitin metabolism as a potential target for RNAi-based control of the forestry pest Hyblaea puera Cramer (Lepidoptera: Hyblaeidae)     

Sowmiya R Kottaipalayam-Somasundaram  John P Jacob  Balasubramanian Aiyar  Hans Merzendorfer  Mathish Nambiar-Veetil 《Pest management science》2022,78(1):296-303

  相似文献   

The malaria parasite monitored by photoacoustic spectroscopy   总被引：4，自引：0，他引：4  

D Balasubramanian  C Mohan Rao  B Panijpan 《Science (New York, N.Y.)》1984,223(4638):828-830

Noninvasive photoacoustic spectroscopy was used to study the malaria parasites Plasmodium chabaudi and Plasmodium berghei, their pigment, and ferriprotoporphyrin IX, which is a by-product of the hemoglobin that the parasite ingests. The results indicate that the pigment consists of ferriprotophorphyrin self-aggregates and a noncovalent complex of ferriprotoporphyrin and protein. Spectra of chloroquine-treated parasites reveal in situ interaction between the drug and ferriprotoporphyrin. Chloroquine-resistant parasites, readily distinguishable by this method, appear to degrade hemoglobin only partially.  相似文献   

Water-Soluble Ions and Trace Metals in Airborne Particles Over Urban Areas of the State of São Paulo, Brazil: Influences of Local Sources and Long Range Transport     

Pérola C. Vasconcellos  Rajasekhar Balasubramanian  Roy E. Bruns  Odon Sanchez-Ccoyllo  Maria F. Andrade  Marlene Flues 《Water, air, and soil pollution》2007,186(1-4):63-73

The atmosphere over Brazilian cities is influenced by a variety of emissions sources. In this study, aerosol collection and back-trajectory analysis were used to determine the influence of local and remote sources. Aerosols were collected at three locations within the state of São Paulo: one megacity and two cities in which sugar cane burning in the surroundings is observed. We quantified the major water-soluble inorganic ions and trace metals. As expected, vehicle emissions influenced the atmosphere of the megacity heavily, and sugar cane burning influenced that of the other locations. During the period of this experiment the back-trajectory analysis revealed that air masses are transported into the state from the northeast of Brazil, where biomass burning occurs. Multivariate statistical analysis revealed that the two principal components account for 48.5% of the total data variance. We conclude that local sources have a strong impact on the concentrations of particulate matter and pollutants. Remote sources also contribute to the concentrations of aerosol pollutants.  相似文献   

Chlorophyll Dynamics in Rice (Oryza sativa) Before and After Flowering Based on SPAD (Chlorophyll) Meter Monitoring and its Relation with Grain Yield     

K. Ramesh  B. Chandrasekaran  T. N. Balasubramanian  U. Bangarusamy  R. Sivasamy  & N. Sankaran 《Journal of Agronomy and Crop Science》2002,188(2):102-105

The rice plant at any point in time is composed of leaves of physiologically different ages, so it follows that the leaves differ in their contributions to the growth of the whole plant and its grain yield. As the leaf chlorophyll content (Soil Plant Analytical Division value) is the best indicator of photosynthetic activity in rice, the chlorophyll content of rice before and after flowering was determined in a weed management field experiment on direct wet seeded rice. The results indicated that the leaf chlorophyll content at 79 days after sowing correlated well with the grain yield of rice. Multiple regression models also indicated the dependence of rice yield on leaf chlorophyll content before and after flowering.  相似文献   

A Crop–Weather Model for Prediction of Rice (Oryza sativa L.) Yield Using an Empirical-Statistical Technique     

K. Kandiannan  R. Karthikeyan  R. Krishnan  C. Kailasam  & T. N. Balasubramanian 《Journal of Agronomy and Crop Science》2002,188(1):59-62

Rice is the staple food in many countries and is grown in varied climates from per‐humid to semiarid areas. Crop–weather models were used to predict rice yield in India. However, in spite of a significant influence of solar radiation on rice yield, none of these models used solar radiation as one of the predictors. In this paper, an attempt was made to predict the first season (June–September) rice yield at Coimbatore, Tamil Nadu, India by including solar radiation as one of the predictors. Ten years (1987/88–1996/97) data were used for the study. Seven predictors viz., percentage of rice area during first season (X₁), number of days with minimum temperature below 22 °C in August and September (X₂), average daily maximum temperature for three months (July, August and September; X₃), average daily minimum temperature for three months (July, August and September; X₄), total of average sunshine hours in August and September (X₅), and total rainfall of July, August and September (X₆) total average solar radiation of August and September (X₇) were selected based on earlier report. Full model and stepwise regression analysis were performed using MSTAT computer package. The full model regression without solar radiation as predictor (Model I) recorded comparatively less R² (0.6292). Inclusion of solar radiation (Model II) enhanced the R² value considerably (R²=0.9464). Seven variables were further subjected to stepwise regression analysis and only four predictors were retained in the final model (Model III) with an R² value of 0.9234. The model III with minimum parameters Y=22119.5758 + 19.6898, X₁ ? 150.9261, X₂ ? 1126.7501, X₄ + 0.7179 X7 can be used to predict the first season rice yield (Y) at Coimbatore, India.  相似文献