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Search Results: 1 - 10 of 329076 matches for " R. V. Kizungu "
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Epidemiology of the Groundnut (Arachis hypogaea L.) Leaf Spot Disease: Genetic Analysis and Developmental Cycles  [PDF]
L. Tshilenge-Lukanda, K. K. C. Nkongolo, A. Kalonji-Mbuyi, R. V. Kizungu
American Journal of Plant Sciences (AJPS) , 2012, DOI: 10.4236/ajps.2012.35070
Abstract: Groundnut leaf spot is one of the important factors limiting groundnut productivity in Africa particularly in the Democratic Republic of Congo (DR Congo). Early and late leaf spot disease of groundnut caused by Cercospora arachidicola Hori and Cercosporidium personatum (Berk & Curt.) Deighton, respectively, can cause considerable yield losses without fungicide management. The main objectives of this research were to analyze plant and disease developmental cycles. Significant differences were observed among the groundnut varieties evaluated for resistance to the leaf spot disease. The results show that plant development cycle can be divided into three developmental stages. A first stage characterized by a low production of leaves, a second stage with a significant leaf development and finally a third stage with a reduction of leaves. Interestingly, the leaf spot disease cycle was also divided in three stages. The disease stage characterized by the highest level of symptom expression was not associated with the plant phase with the highest emerged leaves. Disease symptoms reached the highest pick only after the phase of intense leaf development. The molecular analysis revealed that all the groundnut varieties analyzed were genetically closely related even though they showed different reactions to the leaf spot disease.
Effect of Gamma Irradiation on Morpho-Agronomic Characteristics of Groundnut (Arachis hypogaea L.)  [PDF]
L. Tshilenge-Lukanda, A. Kalonji-Mbuyi, K. K. C. Nkongolo, R. V. Kizungu
American Journal of Plant Sciences (AJPS) , 2013, DOI: 10.4236/ajps.2013.411271
Abstract:

Induced mutation in plant improvement has been used in several crops to generate new sources of genetic variations. A study was conducted to determine the effect of different doses of gamma irradiation on different morpho-agronomic characteristics. Agronomic traits that were analyzed included: grain yield, number of pods/plant, number of seeds/plant and weight of 100 seeds and numbers of days to 50% flowering. Morphometric characterisation of the descriptive data included plant height, stem diameter, number of leaves/plant, leaflet length, leaflet width and number of ramification/ plant. Groundnut seeds were treated with various doses of gamma rays (100, 200, 400 and 600 Gy). Among the various dose treatments, gamma rays treatment at 100 Gy resulted in a higher increase of grain yield and other morpho-agronomic parameters especially for the JL24 variety. In fact the gamma irradiation at 100 Gy increased significantly grain yield by 14% for JL24, and 4 % for JL12. The number of pods per plant was increased by 2% for JL12 and 37% for JL24. For the number of seeds per plant, there was a significant increase of 8% for JL12, and 62% for JL24 at 100 Gy. A similar trend was observed for the JL24 at 200 Gy dose. Higher doses of gamma rays (400 and 600 Gy) reduced significantly plant growth and grain yield. The usefulness of the mutants identified in a groundnut breeding program is discussed.

Effect of Gamma Irradiation on Morpho-Agronomic Characteristics of Soybeans (Glycine max L.)  [PDF]
Justin Mudibu, Kabwe K. C. Nkongolo, Adrien Kalonji-Mbuyi, Roger V. Kizungu
American Journal of Plant Sciences (AJPS) , 2012, DOI: 10.4236/ajps.2012.33039
Abstract: Mutation breeding in crop plants is an effective approach in improvement of crop having narrow genetic base such as soybean. The main objective of the present study is to determine the effect of different doses of gamma irradiation on different morpho-agronomic characteristics. Agronomic traits that were analyzed included; grain yield, number of pods/plant, number of seeds/plant and weight of 100 seeds and numbers of days to 50% flowering. Morphometric characterization of the descriptive data included plant height, stem diameter, number of leaves/plant, leaflet length, leaflet width, number of ramifications/plant, and pod length and width at 3 lodge stage. The results of the present study revealed that the two gamma irradiation doses used (0.2 kGy and 0.4 kGy) decreased significantly most of agronomic and morphological traits evaluated in M1 populations. Different effects of 0.2 kGy and 0.4 kGy irradiation were observed in M2 populations with significant increase of grain yields and yield components in all the three soybean varieties. In general, a significant decrease or no changes of morphological traits were observed for the two irradiation doses in M2 populations. The levels of changes varied among varieties. Potential high yielding mutants were identified in progenies of irradiated seeds.
Growth and Leaf Area Index Simulation in Maize (Zea mays L.) Under Small-Scale Farm Conditions in a Sub-Saharan African Region  [PDF]
Jean-Claude Lukombo Lukeba, Roger Kizungu Vumilia, Kabwe C. K. Nkongolo, Mo?se Lufuluabo Mwabila, Mbungu Tsumbu
American Journal of Plant Sciences (AJPS) , 2013, DOI: 10.4236/ajps.2013.43075
Abstract: Different crop models including MAIZE Ceres, STICS and other approaches have been used to simulate leaf area index (LAI) in maize (Zea mays L.). These modeling tools require genotype-specific calibration procedures. Studies on modeling LAI dynamics under optimal growth conditions with yields close to the yield potential have remained scarce. In the present study, logistic and exponential approaches have been developed and evaluated for the simulation of LAI in maize in a savannah region of the DR-Congo. Data for the development and the evaluation of the model were collected manually by non-destructive method from small farmers’ field. The rate of expansion of the leaf surface and the rate of change of leaf senescence were also simulated. There were measurable variations among sites and varieties for the simulated height of maize plants. At all sites, the varieties with short plants were associated with expected superior performance based on simulation data. In general, the model underestimates the LAI based on observed values. LAI values for the genetically improved maize varieties (Salongo 2, MUS and AK) were greater than those of the unimproved local variety (Local). There were significant differences for K,
Analysis of Adaptive Response of Maize (Zea mays) Varieties from DR-Congo to Water Stress  [PDF]
Jean Pierre Kabongo Tshiabukole, Amand Mbuya Kankolongo, Gertrude Pongi Khonde, Antoine Mumba Djamba, Roger Kizungu Vumilia, Kabwe Nkongolo
American Journal of Plant Sciences (AJPS) , 2017, DOI: 10.4236/ajps.2017.89153
Abstract: Maize production in tropical Africa is often negatively affected by drought. The main objectives of the present study were to 1) analyze the impact of water stress on the agro-morphological performance of two varieties of Quality Protein Maize (QPM) compared to two normal maize varieties and 2) assess their adaptive response in contrasting water environments. Agro-morphological responses to water deficiency of maize (Zea mays L.) were assessed in controlled experiments using four maize varieties, two normal maize (Zm725 and Mus1) and two quality protein maize (Mudishi1 and Mudishi3) varieties. They were subjected to three water regimes (100%, 60%, 30% water retention capacity) at the beginning of the bloom stage, using a Fischer block design with four replications. Significant differences (p < 0.05) among varieties, water regimes and their interactions for plant growth and production parameters were observed. Reduction of water supply to plants caused changes in aerial and underground plant growth. Plant stem height, foliar expansion, and root system development characterizing vegetative growth showed variation in varietal response to water regimes. Mus1 (normal maize variety) was the best adapted to variations in water regimes because they developed an important root volume to adapt to the effects of water deficit while maintaining their morphological and productive characteristics.
Giant Plagioclase Basalts from Northeastern Deccan Volcanic Province, India: Implications for Their Origin and Petrogenetic Significance  [PDF]
Reddy V. R. Talusani
International Journal of Geosciences (IJG) , 2012, DOI: 10.4236/ijg.2012.35103
Abstract: The giant plagioclase basalts (GPBs) with plagioclase phenocrysts that reach up to 3 cm in length are found near Jabalpur in the northeastern part of the Deccan Volcanic Province (DVP). The thickness of the basalt flow (flow 6) that contains the GPBs is ~ 20 m. Plagioclase phenocysts (An58 - An64) in the GPBs display many features of magma mixing (e.g., resorption, reverse zoning). Of the nine flows in the Jabalpur section, the GPBs (flow 6) with lowest Mg#s (38 - 43) and MgO (4.16 - 5.08 wt%), Ni and Cr abundances are the most evolved compositions. In addition, these GPBs have highest abundances of incompatible elements (TiO2, P2O5, Nb, Zr, Sr and Ba). The GPBs are compositionally similar to the well-studied Mahabaleshwar lavas of the western DVP. This new occurrence of GPBs has implications for existence of local crustal magma chambers, feeders and vents in the northeastern part of the DVP.
Aggression questionnaire scores in extremely violent male prisoners, male bodybuilders, and healthy non-violent men  [PDF]
Henning Vr?y
Open Journal of Psychiatry (OJPsych) , 2013, DOI: 10.4236/ojpsych.2013.33029
Abstract:

Two aggression questionnaires, the Revised Swedish Version (AQ-RSV) of the Buss-Perry Aggression Questionnaire (AQ) and the shortened and refined version by Bryant and Smith (BS-AQ) were compared. Both questionnaires identified subscore levels of aggression and there were significant differences between the groups. On the AQ-RSV subscales, the violent inmates showed statistically significantly more aggression for Hostility (p = 0.000), Anger (p = 0.000), Physical Aggression (p = 0.000) and Verbal Aggression (p = 0.01) than the healthy (non-violent) men. The bodybuilders, all “on” performance-enhancing substances, scored significantly higher on the Physical Aggression subscale than the healthy men (p = 0.000). Compared to the bodybuilders, the violent inmates scored significantly higher on the Anger (p = 0.02) and Hostility (p = 0.002) subscales. For the BS-AQ, where general variance was higher than for the original AQ, some of the above mentioned relationships were different. The violent inmates still scored significantly higher than the healthy men for Hostility (p = 0.000), Anger (p = 0.006) and Physical Aggression (p = 0.000), but not for Verbal Aggression. The inmates scored significantly higher than the bodybuilders for Anger (p = 0.006) and Verbal Aggression (p = 0.006), and the bodybuilders scored higher than the healthy men on the Physical Aggression (p = 0.002) subscale only. These and other more complex relationships are discussed in the light of previous findings. Thus the BS-AQ resulted in more sharply defined relationships and, at the same time, showed some important differences between the groups studied. Verbal Aggression does not seem to distinguish violent inmates from healthy men. Angry bodybuilders tend to express their aggression through Physical Aggression.

The Norwegian 22 July 2011 Terror Acts and Mass Murder: Insanity, Evilness or Both?  [PDF]
Henning Vr?y
Open Journal of Psychiatry (OJPsych) , 2014, DOI: 10.4236/ojpsych.2014.44039
Abstract: This review presents unique information rarely seen in a description of a politically extreme right wing terrorist. During the trial following the terror acts in Norway on July 22nd 2011, the author, a forensic psychiatrist was at the time engaged by a national Norwegian newspaper to comment on the court proceedings. The author has later thoroughly gone through all available background material such as the terrorist’s childhood, relationship to his mother, childhood psychological evaluation, the interviews made by the forensic psychiatrists and information from the police documents. This information is shared in the review. The author also discusses how it was possible for two pairs of court appointed experienced forensic psychiatrists to arrive at completely different conclusions. One pair concluded with insanity due to Paranoid Schizophrenia and the second pair found no signs of psychotic disorder at all and concluded with Narcissistic Personality Disorder. The court found the terrorist capable to stand trial and sentenced him to 21 years in preventive detention with 10 years to be served before the possibility to apply for an appeal.
On Congruences Induced by Certain Relations on “Semigroups”  [PDF]
K. V. R. Srinivas
Advances in Pure Mathematics (APM) , 2015, DOI: 10.4236/apm.2015.59054
Abstract: In his paper “On quasi-separative ‘semigroup’s’”, Krasilnikova, Yu. I. and Novikov, B. V. have studied congruences induced by certain relations on a “semigroup”. They further showed that if the “semigroup” is quasi separative then the induced congruence is a semilattice congruence. In this paper we continue the study of these relations and the induced congruences i.e., the congruences induced by certain relations on ‘‘semigroup’s”. In this paper mainly it is observed that if S is a quasi-separative and regular “semigroup” then the necessary and sufficient condition for \"\"to be the smallest semilattice congruence η is obtained.
Optimization and Design of PV-Wind Hybrid System for DC Micro Grid Using NSGA II  [PDF]
R. Sathishkumar, V. Malathi, V. Premka
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.77094
Abstract: The world is heading towards renewable energy, but the two key disputes that stop its well-known adoption are the power production level and the price of the production. Distributed generation (DG), and hybrid systems with battery backup are the solution for uninterrupted power supply. It is obtained using the Multi-Objective Genetic Algorithm (NSGA II). Techno-economic methodology is used in this proposed system for the size optimization. The result is based on the system cost, in order to meet the load requirements. The effect of temporal sampling is optimized using low-rate temporal data. It is compared with hybrid DC microgrid, which has been optimized using high temporal resolution data.
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