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Physiological and biochemical characteristics associated with leaf retention in mulberry (<i>Morus</i>spp.)

Open Journal of Genetics 2011年第3期1卷 27-33页

作者： Subramaniam Gandhi Doss shyama prasad chakraborti Soumen Chattopadhyay Nirvan Kumar Das Partha Dev Ghosh Kunjupillai Vijayan Central Sericultural Research and Training Institute Research Extension Centre Botany Department Kalyani University Central Silk Board BTM Layout

Mulberry leaf production plays a key role in the sustainability of silk industry as the silkworm Bom-byx mori can not survive on any other leaf. In fact, silkworm merely acts as an instrument to convert mulberry leaf proteins into the silk proteins. In India, West Bengal is the second highest silk producing state but with varied climatic conditions and suffers to a great extent from non-availability of adequate quantity of quality leaf during the colder months. Delayed sprouting, slow growth rate and higher leaf fall are the major factors contributing this leaf scarcity. To overcome these problems, nine mulberry genotypes, developed through systematic breeding, were tested against the current popular variety for 3 consecutive years taking into account of their performance during the colder months. Annual leaf yield was highest in CT-44 (48 mt/ha/ year) followed by CT-11 (44 mt/ha/year). Leaf senescence was least in CT-44 (9.8%) followed by CT-11 (16.8%) while the check variety showed 20% leaf senescence. Significantly higher values were observed for net photosynthetic rate (Pn) (14.83 μ mol. m-2·s-1);physiological water use efficiency (pWUE) (1.16 8 mol CO2, mol–1 H2O);total soluble protein (TSP) (27.87 mg·g–1·fw);total soluble sugar (TSS) (39.74 mg·g–1 fw);nitrate reductase activity (NRA) (17.78 8 mol. NO2·g–1·fw·h–1) in CT-44. Correlations of these physiological and biochemical characters with leaf yield and leaf senescence (%) revealed highly significant positive correlations of leaf yield with Pn (0.536), TSP (0.674), NRA (0.610), pWUE (0.433), LAI (0.776) and negative correlations with leaf senescence (–0.239). TSS (0.292) and TSP (0.780) had positive association with NRA. Leaf senescence (%) had significant negative association with Pn (–0.755), TSP (–0.462), NRA (–0.438) and pWUE (–0.359). Path coefficient analysis revealed the direct effect of Pn (0.218), TSP (0.449) and LAI (0.730) on leaf yield. The study, therefore, indicated the possibility of using Pn,

关键词： Cold Tolerance Leaf Senescence Mulberry Photosynthetic Rate LAI

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Variability, heritability and genetic advance in mulberry (<i>Morus</i>spp.) for growth and yield attributes

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Agricultural Sciences 2012年第2期3卷 208-213页

作者： Subramaniam Gandhi Doss shyama prasad chakraborti Sukhen Roychowdhuri Nirvan Kumar Das Kunjupillai Vijayan Partha Dev Ghosh Mala V. Rajan Syed Mashayak Hussaini Qadri Central Sericultural Research and Training Institute Berhampore India Central Sericultural Research and Training Institute Mysore India Central Silk Board BTM Layout Bangalore India Department of Botany University of Kalyani Kalyani India Research Extension Center Nabagram India

Genetic improvement of crop plants is brought about by manipulating the genetic makeup through systematic breeding techniques or by employing modern biotechnological tools. Application of systematic breeding technique to a large extent is decided by the knowledge on the genetic control of the traits. Keeping this in view, nine mulberry genotypes were evaluated for different growth and yield attributing traits viz., number of tillers (NT), plant height (PH), total shoot length (TSL), nodal distance (ND), leaf fall % (LF), number of leaves/plant (NLP), weight of 100 fresh leaves (WFL), weight of 100 dry leaves (WDL), single leaf area (LA), leaf area index (LAI), aboveground biomass (AGB), leaf harvest index (LHI) and leaf yield (LY) and estimated the magnitude of genotypic and phenotypic variation, heritability, genetic advance and correlation coefficients. The broad sense heritability for these traits ranged from 63.942 (WFL) to 13.261 (PH). High heritability coupled with high genetic advance was recorded for the characters WFL, LF, LA, WDL and LY suggesting the higher genetic control over these traits. Leaf yield showed significantly positive phenotypic and genotypic correlations with all other growth traits except PH and LF. Leaf fall had significant negative correlations with all the highly heritable yield attributes viz., ND (-0.379), WDL (-0.225), LA (-0.346), LAI (-0.233) at 1% level and AGB (-0.148), LHI (-0.122) and LY (-0.146) at 5% level. Likewise, it showed positive correlations with TSL (0.558), NLP (0.264) and PH (0.221). Since mulberry is mainly cultivated for leaf yield, genotypes having higher WFL, LA, WDL and LY and less LF must be given importance during parent selection to evolve high yielding varieties with less leaf fall across different seasons in mulberry.

关键词： Variability Heritability Genetic Advance Yield Attributes Low Leaf Senescence

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Metabolite variation in hybrid corn grain from a large-scale multisite study

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The Crop Journal 2016年第3期4卷 177-187页

作者： Mingjie Chen R.shyama prasad Rao Yiming Zhang Cathy Zhong Jay J.Thelen Haixia Institute of Science and Technology Horticulture Biology and Metabolomics CenterFujian Agriculture and Forestry University Department of Biochemistry Christopher S.Bond Life Science CenterUniversity of Missouri Biostatistics and Bioinformatics Division Yenepoya Research CenterYenepoya University Regulatory Group Du Pont Experimental Station

Metabolite composition is strongly affected by genotype,environment,and interactions between genotype and environment,although the extent of variation caused by these factors may depend upon the type of *** characterize the complexity of genotype,environment,and their interaction in hybrid seeds,50 genetically diverse non-genetically modified(GM) maize hybrids were grown in six geographically diverse locations in North *** metabolites from 553 harvested corn grain samples were isolated and analyzed by gas chromatography–mass spectrometry and 45 metabolites detected in all samples were used to generate a data matrix for statistical *** was moderate variation among biological replicates and across genotypes and test *** genotype effects were detected by univariate and Hierarchical clustering analyses(HCA) when environmental effects were ***,environment exerted larger effects than genotype,and polar metabolite accumulation showed a geographic *** conclude that it is possible to increase seed polar metabolite content in hybrid corn by selection of appropriate inbred lines and growing regions.

关键词： Corn grain Genotype Environment GC–MS Metabolomics

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Valorization of banana peel intoα-amylase using one factor at a time(OFAT)assisted artificial neural network(ANN)and its partial purification,characterization,and kinetics study

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Food Bioscience 2023年第3期53卷 472-486页

作者： shyama prasad Saha Shubham Ghosh Deepika Mazumdar Sarbobhouma Ghosh Dipanwita Ghosh Mahima Misti Sarkar Swarnendu Roy Department of Microbiology University of North BengalSiliguri734013India Department of Microbiology North Bengal St.Xavier’s CollegeJalpaiguri735135India Plant Biochemistry Laboratory Department of BotanyUniversity of North BengalSiliguri734013India

In this present studyα-amylase producing bacteria were isolated from the soil near North Bengal University canteen on an amylase agar *** screening of the isolates was done by iodine test,based on the clear zone around the bacterial colonies in the media *** bacterial isolates were selected and quantitatively screened for amylase *** them,strain sps2 showing the highest amylase activity(215±2 IU/ml)was selected for further *** strain sps2 was identified both morphologically and biochemically and further confirmed by 16s rRNA sequencing as Streptomyces pratensis sps2(Gene bank accession *** 236721).Optimization ofα-amylase produced by the isolate was conducted under submerged fermentation of low-cost carbon source banana peel,using a one factor at a time(OFAT)*** amylase activity of 821.33±0.57 IU/ml was recorded after 2 days of *** artificial neural network(ANN)model was employed using the OFAT data to generate a predictive model for amylase production and the R-value of 0.94496 and the RMSE of 64.82 suggesting that the neural network has the precise capability to generate an optimization *** sulfate precipitation and dialysis techniques were used to partially purify theα-amylase and then *** enzyme was found to have a molecular mass of 28 kDa(SDS-PAGE and zymogram)with a K_(m)and V_(max)of 2 mg/ml and 1000μmol/min,*** enzyme was found to be thermostable in the temperature range of 4-90℃ and more stable at alkaline pH with optimum pH of 7.

关键词： α-amylase Streptomyces pratensis sps2 OFAT ANN K_(m) V_(max)

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