667 research outputs found
Types of Specific Learning Disability
The chapter “Specific Learning Disability and its Types” is an effort to educate the readers, specially the educators about a developmental disorder that begins by school age, although it may not be recognized until later. It involves on-going problems learning key academic skills, including reading, writing, and math. The chapter makes an attempt to bring about understanding of SLD, brief historical perspective and its classification. The chapter elaborately discusses the seven types of specific learning disability according to Learning Disabilities Association of America. The chapter centers around seven learning disabilities namely, dyslexia, dysgraphia, dyscalculia, auditory processing disorder, language processing disorder, non-verbal learning disabilities, visual perceptual deficit; their causes and symptoms to give a holistic understanding about the disability for the teachers and parents to understand the individual differences
Predictors of psychological stress and behavioural diversity among captive red panda in Indian zoos and their implications for global captive management
This is the final version. Available on open access from Nature Research via the DOI in this recordData availability:
Full data used for analysis, the R script used to obtain the results reported here, and the full R output, are available in an open depository at https://osf.io/jg6euAt high elevations, biodiversity is at elevated risk from extinctions due to rapid environmental changes. In the most of its range in Himalayas, the red panda, an endangered species, is struggling to survive in the wild, and a global captive breeding programme has been launched to conserve the species. Because captivity can have negative impacts on animals, reducing the chance of successful reintroduction, we investigated the predictors of stereotyped behaviour and behavioural diversity of red panda (n = 26), and the effect of stereotypy on their behavioural diversity in three Indian zoos. Multivariate analysis showed that stereotypy increased with density of logs on the ground, age and higher among pandas in zoo 3 compared to zoo 2, but decreased with number of nests, sociality, tree density and tree height used. Similarly, behavioural diversity increased with log density, but decreased among pandas in zoo 2 compared to zoo 1, during summer compared to winter, and also with ambient temperature, stereotypy, tree density, and tree height used. The relationship between stereotypy and behavioural diversity was negative, but not significant. Provision of a greater density of trees was associated with higher levels of daytime inactivity. Findings from this study have global relevance, as the captive red panda experiences similar welfare issues around the world, and our data provide empirical support for some existing guidelines for red panda husbandry
Genomic interventions for sustainable agriculture
Agricultural production faces a Herculean challenge to feed the increasing global population.
Food production systems need to deliver more with finite land and water resources while
exerting the least negative influence on the ecosystem. The unpredictability of climate change
and consequent changes in pests/pathogens dynamics aggravate the enormity of the challenge.
Crop improvement has made significant contributions towards food security, and breeding
climate-smart cultivars are considered the most sustainable way to accelerate food production.
However, a fundamental change is needed in the conventional breeding framework in order to
respond adequately to the growing food demands. Progress in genomics has provided new
concepts and tools that hold promise to make plant breeding procedures more precise and
efficient. For instance, reference genome assemblies in combination with germplasm sequencing
delineate breeding targets that could contribute to securing future food supply. In this review,
we highlight key breakthroughs in plant genome sequencing and explain how the presence of
these genome resources in combination with gene editing techniques has revolutionized the
procedures of trait discovery and manipulation. Adoption of new approaches such as speed
breeding, genomic selection and haplotype-based breeding could overcome several limitations of
conventional breeding. We advocate that strengthening varietal release and seed distribution
systems will play a more determining role in delivering genetic gains at farmer’s field. A holistic
approach outlined here would be crucial to deliver steady stream of climate-smart crop cultivars
for sustainable agriculture
Yield Stability in Pigeon pea Hybrids [Cajanus cajan (L.) Millsp.] Under Varying Agro-Climatic Regions
Twelve pigeonpea genotypes comprising ten hybrids and two controls were evaluated at
three environments during rainy season of 2012-13, to study genotype × environment interaction
for yield and related traits. Analysis of variance in each environment and on a pooled basis expressed
a significant difference among genotypes for yield and yield contributing characters except for 100
seed weight. Genotype × environment (linear) interactions were found significant for days to 50%
flowering, plant height, primary and secondary branches per plant, pods per plant, seeds per pod,
grain yield per plant and yield (kg/ha) except days to maturity and 100 seed weight. The regression
and GGE biplot methods were used for analysis. Both methods identified ICPH 2671, ICPH 2740,
ICPH 3933 and ICPH 3762 as stable hybrids. The GGE biplot explained higher proportion of the
mean sum of squares of the G×E interaction and was more informative with regards to environments
and their genotypic performance than the regression method. Hybrids ICPH 2671, ICPH 2740,
ICPH 3762 and ICPH 3933 showed stability for the yield and yield components and could be
recommended for cultivation
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Deacetylation of p53 induces autophagy by suppressing Bmf expression
Interferon γ (IFN-γ)–induced cell death is mediated by the BH3-only domain protein, Bik, in a p53-independent manner. However, the effect of IFN-γ on p53 and how this affects autophagy have not been reported. The present study demonstrates that IFN-γ down-regulated expression of the BH3 domain-only protein, Bmf, in human and mouse airway epithelial cells in a p53-dependent manner. p53 also suppressed Bmf expression in response to other cell death–stimulating agents, including ultraviolet radiation and histone deacetylase inhibitors. IFN-γ did not affect Bmf messenger RNA half-life but increased nuclear p53 levels and the interaction of p53 with the Bmf promoter. IFN-γ–induced interaction of HDAC1 and p53 resulted in the deacetylation of p53 and suppression of Bmf expression independent of p53’s proline-rich domain. Suppression of Bmf facilitated IFN-γ–induced autophagy by reducing the interaction of Beclin-1 and Bcl-2. Furthermore, autophagy was prominent in cultured bmf−/− but not in bmf+/+ cells. Collectively, these observations show that deacetylation of p53 suppresses Bmf expression and facilitates autophagy
Characterization of maize genotypes using microsatellite markers associated with QTLs for kernel iron and zinc
224-234Crop genetic resources rich in Fe and Zn provide sustainable and cost-effective solution to alleviate micronutrient malnutrition. Maize being the leading staple crop assumes great significance as a target crop for biofortification. We report here wide genetic variation for kernel Fe and Zn among 20 diverse maize inbreds lines, majority of which were bred for quality protein maize (QPM) and provitamin-A. Kernel Fe ranged from 30.0 - 46.13 mg/kg, while kernel Zn ranged from 8.68-39.56 mg/kg. Moderate but positive correlation was observed between the micronutrients. Characterization using 25 Single sequence repeats (SSRs) linked to QTLs for kernel Fe produced 58 alleles. Similarly, 86 alleles were identified from 35 SSRs linked to QTLs for kernel Zn. One unique allele for kernel Fe and three unique alleles for kernel Zn were identified. The mean polymorphic information content (PIC) was 0.40 for both kernel Fe and Zn. Jaccard’s dissimilarity coefficients varied from 0.25 - 0.91 with a mean of 0.58 for kernel-Fe while 0.27- 0.88 with a mean of 0.57 for kernel Zn. Principal coordinate analysis depicted diversity of inbreds. Cluster analysis grouped the inbreds into three major clusters for both kernel Fe and Zn. Potential cross combinations have been proposed to develop micronutrient rich hybrids and novel inbreds with higher Fe and Zn. The information generated here would help the maize biofortification programme to develop nutritionally enriched hybrids
Effect of deficit irrigation and nitrogen levels on water productivity and nitrogen use efficiency of wheat (Triticum aestivum) in a semi-arid environment
A field experiment was carried out during 2009-10 and 2010-11 on a sandy loam soil of IARI, New Delhi on wheat (Triticum aestivum L.) with four levels of irrigation (rainfed, irrigations to replenish 30, 60 and 100% moisture deficit from field capacity) as main plot factors and four levels of nitrogen (0, 30, 60 and 120 kg N/ha) as subplot factors in a split plot design. The soil moisture storage in the profile showed inverse relation with the nitrogen levels whereas direct relationship was observed with the irrigation levels. The water use vs. wheat yield relation was linear and significant. Regression analysis showed that 58% variation in grain yield of wheat could be explained by water use. The grain yield showed increasing trend with increase in irrigation and nitrogen levels. The WP and EWP increased with increase in irrigation level up to 60% SMD and thereafter it decreased. However, both WP and EWP showed increasing trend with increase in nitrogen levels. The ANUE and PFPN increased with increase in irrigation levels, but with increase in nitrogen levels both ANUE and PFPN decreased. Grain yield, water productivity and nitrogen use efficiency showed significant interaction effect of irrigation and nitrogen
Soft X-ray and FUV observations of Nova Her 2021 (V1674 Her) with AstroSat
Nova Her 2021 or V1674 Her was one of the fastest novae to be observed so far. We report here the results from our timing and spectral studies of the source observed at multiple epochs with AstroSat. We report the detection of a periodicity in the source in soft X-rays at a period of 501.4–501.5 s which was detected with high significance after the peak of the super-soft phase, but was not detected in the far ultraviolet (FUV) band of AstroSat. The shape of the phase-folded X-ray light curves has varied significantly as the nova evolved. The phase-resolved spectral studies reveal the likely presence of various absorption features in the soft X-ray band of 0.5–2 keV, and suggest that the optical depth of these absorption features may be marginally dependent on the pulse phase. Strong emission lines from Si, N, and O are detected in the FUV, and their strength declined continuously as the nova evolved and went through a bright X-ray state.Fil: Bhargava, Yash. No especifíca;Fil: Dewangan, Gulab Chand. International Centre Of Theoretical Science. Tata Institute Of Fundamental Research; EspañaFil: Anupama, G. C.. No especifíca;Fil: Kamath, U. S.. No especifíca;Fil: Sonith, L. S.. No especifíca;Fil: Pal Singh, Kulinder. ndian Institute of Science Education and Research Mohali; IndiaFil: Drake, J. J.. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Beardmore, A. University of Leicester; Reino UnidoFil: Luna, Gerardo Juan Manuel. Secretaria de Investigacion ; Universidad Nacional de Hurlingham; . Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Orio, M.. Istituto Nazionale di Astrofisica; ItaliaFil: Page, K. L.. University of Leicester; Reino Unid
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