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Articles by S. Jogloy
Total Records ( 5 ) for S. Jogloy
  S. Ekvised , S. Jogloy , C. Akkasaeng , M. Keerati-kasikorn , T. Kesmala , I. Buddhasimma and A. Patanothai
  The objectives of this study were to estimate broad sense heritability for thrips number parameters and thrips damage parameters and to evaluate correlation between thrips number parameters and thrips damage parameters and correlations of these parameters with agronomic traits. A total number of 192 peanut progenies derived from F2 generation of 16 crosses were evaluated by multiple assessment method staring at 30 days after planting (DAP) for number of thrips adults, number of lavae, number of total thrips, percentage of damaged plants, percentage of damaged leaves and visual damage rating in F4 through F6 generation in three environments under natural infestation of thrip population. Some agronomic characters were evaluated at harvest. A randomized complete block design with six replications in three environments was used. Heritability estimates across evaluation times for thrips number parameters were generally lower and lesser consistent than those for plant damage parameters. Selection for lower thrips number alone would be either inconsistent or ineffective. These results suggest that greater genetic gain for thrips resistance in peanut can be achieved by selection on a family basis using plant damage parameters rather than using thrips number parameters as selection criteria. The lack of correlation between thrips number parameters and plant damage parameters implies that different genetic mechanisms control thrips resistance in this population and inherit independently. Weak correlations between thrips resistance parameters and agronomic characters also indicate the independent inheritance of these characters. Considering high heritability estimates and simplicity of evaluation, the improvement of thrips resistance in this population based on plant damage parameters would be possible.
  P. Dangthaisong , P. Banterng , S. Jogloy , N. Vorasoot , A. Patanothai and G. Hoogenboom
  Drought is a major yield limiting factor in peanut production. Characterization of drought stress patterns of major production areas and information on crop responses to different levels of drought stresses are needed for the development of appropriate management strategies for individual locations. The CSM-CROPGRO-Peanut model could help in obtaining the required information, but its capability in predicting crop responses to different levels of drought stress needs to be firstly established. The objective of this study was to evaluate the capability of the CSM-CROPGRO-Peanut model in simulating the responses of two peanut cultivars to three levels of soil moisture regimes. The experiments were conducted under field conditions in the dry seasons of 2004 and 2005 at the Field Crop Research Station of Khon Kaen University in northeast Thailand. A split-plot in a randomized complete block design with 4 replications was used. Three levels of soil moisture (field capacity, 2/3 available water and 1/3 available water) were assigned to main-plots and two peanut cultivars (KK60-3 and Tainan 9) were arranged in sub-plots. Data collected on growth and development of the two peanut cultivars under the three soil moisture regimes were compared with the corresponding simulated data from model simulation using the CSM-CROPGRO-Peanut model. The results showed that the model performed fairly in simulating phonological development and patterns of dry matter accumulation but performed reasonably well in predicting the final biomass and pod yields of the two peanut cultivars under the three soil moisture regimes. The model, however, could predict the relative yield reductions from drought stress of the individual peanut cultivars quite accurately and could provide information on the time of occurrence and severity of water stress during the cropping period. These results indicate that the CSM-CROPGRO-Peanut model is sufficiently capable to be used in generating the required information for determining appropriate managements of drought stress.
  B. Suriharn , A. Patanothai and S. Jogloy
  Breeding for drought resistance in peanut (Arachis hypogaea L.) has been done primarily based on empirical selection for yield under drought stress conditions, but progress has been slow. Selection for physiological traits that can contribute to superior performance of the crop under drought stress conditions may complement conventional approach and hasten the progress. Specific leaf area (SLA) and Harvest index (HI) are physiological traits that could be used for this purpose. For the choice of an efficient breeding procedure, a good knowledge on the types of gene action controlling the expression of these two traits is needed. This study was conducted to examine the various gene effects for SLA and HI in three crosses of peanut (ICGV 86388 x IC 10, ICGV 86388 x KK 60-1 and IC 10 x KK 60-1). Seven generations of individual crosses (parents, F1, F2, F3, BC11S and BC12S) were grown in a group balance block experiment with six replications. Data were analyzed following a generation means analysis. The results showed that additive gene effects were predominant in determining the expression of SLA and HI in all the three crosses, accounting for 80-95% of total genetic variability for SLA and 63-73% for HI. Dominant gene effect for SLA was significant in one cross but its contribution was very small. Significant additive x dominant epistatic effects were also observed for SLA in all crosses, but additive x additive and dominant x dominant gene effects were significant in one cross each. Significant epistatic gene effects for HI were also detected in two crosses but largely being additively x additive which is fixable. The predominance of additive gene effects for SLA and HI suggested that selection for the two traits in these crosses would be effective even in early segregating generations.
  J. Sikinarum , P. Jaisil , S. Jogloy , B. Toomsan , T. Kesmala and A. Patanothai
  The objectives of this study were to estimate broad sense heritability for N2 fixation and related traits and agronomic traits and evaluate correlations among these traits. Seventy four progenies in the F5 generation previously selected in the F4 generation for high and low performance for N2 fixation and related traits were tested for N2 fixation and related traits and their agronomic performances. A non-nodulating line was also included as a reference crop for nitrogen determination. The experiment was carried out under limited soil nitrogen conditions. A randomized complete block design with four replications was used. Data were recorded for leaf color score, nodule dry weight, top dry weight, fixed nitrogen, pod number, pod weight, seed weight, seed size, shelling percentage and harvest index. Most heritability estimates for N2 fixation and related traits were moderate and high ranging from 0.33 to 1.00 except one low estimate (0.33). Most heritability estimates for agronomic traits were also moderate and high ranging from 0.37 to 1.00 except two low estimates (0.37 and 0.50). High heritability estimates in the F5 generation indicated that genetic variations of this population after divergence selection in the F4 generation are conserved and further selection for N2 fixation and agronomic traits in this population is possible when individual characters are considered. High and positive correlations among fixed nitrogen and its components were found indicating that increase in one trait can increase others. Correlations between N2 fixation and pod yield were low and varied depending on crosses suggesting that selection for both N2 fixation and pod yield is essential.
  N. Sinsiri , S. Loahasiriwong , S. Jogloy , B. Toomsan and W. Saksirirut
  This investigation consisted of four experiments, i.e., two pot experiments were carried out under glasshouse conditions and another two experiments were conducted under field conditions. The glasshouse pot experiments were carried out at Mahasarakham University, whilst the field experiments were carried out at Khon Kaen University. Twelve cowpea cultivars were used for both the first glasshouse and the first field experiments. The second glasshouse experiment had 14 cowpea cultivars and the same number of cultivars was used for the second field experiment. The four experiments aim to search for outstanding cowpea cultivars where they manifest high resistance to Pseudocercospora leaf spot disease for further breeding programme. A Completely Randomized Design (CRD) with four replications was used for both glasshouse experiments, whilst a Randomized Complete Block Design (RCBD) with four replications was used for both field experiments. The results showed that eight out of fourteen cowpea cultivars of the glasshouse and field experiments possessed a ranking score of Immunity (I). They were ranked accordingly as the best gene resources for future breeding programme. They include IT84E-1-108 as the best cultivar followed by KKU35, Ubonrachatanee1, KKU305, KKU264B, KKU264R, KVC#7 and IT86D-812 with seed yields of the field Experiment 2 of 1,480, 944, 864, 860, 738, 714 and 614 kg ha-1, respectively. The spread out of the disease was encouraged most by high relative humidity of the environmental conditions.
 
 
 
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