16 research outputs found
A two-year participatory intervention project with owners to reduce lameness and limb abnormalities in working horses in Jaipur, India
Participatory methods are increasingly used in international human development, but scientific evaluation of their efficacy versus a control group is rare. Working horses support families in impoverished communities. Lameness and limb abnormalities are highly prevalent in these animals and a cause for welfare concern. We aimed to stimulate and evaluate improvements in lameness and limb abnormalities in horses whose owners took part in a 2-year participatory intervention project to reduce lameness (PI) versus a control group (C) in Jaipur, India.In total, 439 owners of 862 horses participated in the study. PI group owners from 21 communities were encouraged to meet regularly to discuss management and work practices influencing lameness and poor welfare and to track their own progress in improving these. Lameness examinations (41 parameters) were conducted at the start of the study (Baseline), and after 1 year and 2 years. Results were compared with control horses from a further 21 communities outside the intervention. Of the 149 horses assessed on all three occasions, PI horses showed significantly (P<0.05) greater improvement than C horses in 20 parameters, most notably overall lameness score, measures of sole pain and range of movement on limb flexion. Control horses showed slight but significantly greater improvements in four parameters, including frog quality in fore and hindlimbs.This participatory intervention succeeded in improving lameness and some limb abnormalities in working horses, by encouraging changes in management and work practices which were feasible within owners’ socioeconomic and environmental constraints. Demonstration of the potentially sustainable improvements achieved here should encourage further development of participatory intervention approaches to benefit humans and animals in other contexts
Morpho-biochemical characterization of a RIL population for seed parameters and identification of candidate genes regulating seed size trait in lentil (Lens culinaris Medik.)
The seed size and shape in lentil (Lens culinaris Medik.) are important quality traits as these influences the milled grain yield, cooking time, and market class of the grains. Linkage analysis was done for seed size in a RIL (F5:6) population derived by crossing L830 (20.9 g/1000 seeds) with L4602 (42.13 g/1000 seeds) which consisted of 188 lines (15.0 to 40.5 g/1000 seeds). Parental polymorphism survey using 394 SSRs identified 31 polymorphic primers, which were used for the bulked segregant analysis (BSA). Marker PBALC449 differentiated the parents and small seed size bulk only, whereas large seeded bulk or the individual plants constituting the large-seeded bulk could not be differentiated. Single plant analysis identified only six recombinant and 13 heterozygotes, of 93 small-seeded RILs (<24.0 g/1000 seed). This clearly showed that the small seed size trait is very strongly regulated by the locus near PBLAC449; whereas, large seed size trait seems governed by more than one locus. The PCR amplified products from the PBLAC449 marker (149bp from L4602 and 131bp from L830) were cloned, sequenced and BLAST searched using the lentil reference genome and was found amplified from chromosome 03. Afterward, the nearby region on chromosome 3 was searched, and a few candidate genes like ubiquitin carboxyl-terminal hydrolase, E3 ubiquitin ligase, TIFY-like protein, and hexosyltransferase having a role in seed size determination were identified. Validation study in another RIL mapping population which is differing for seed size, showed a number of SNPs and InDels among these genes when studied using whole genome resequencing (WGRS) approach. Biochemical parameters like cellulose, lignin, and xylose content showed no significant differences between parents and the extreme RILs, at maturity. Various seed morphological traits like area, length, width, compactness, volume, perimeter, etc., when measured using VideometerLab 4.0 showed significant differences for the parents and RILs. The results have ultimately helped in better understanding the region regulating the seed size trait in genomically less explored crops like lentils
IMPACT OF SO<SUB>2</SUB> EMISSION LIMITS ON PETROLEUM REFINERY OPERATIONS III: UNCERTAINTIES
IMPACT OF SO<SUB>2</SUB> EMISSION LIMITS ON PETROLEUM REFINERY OPERATIONS II: MINIMIZING EMISSIONS
IMPACT OF SO<SUB>2</SUB> EMISSION LIMITS ON PETROLEUM REFINERY OPERATIONS I: A LINEAR PROGRAMMING MODEL
Recent Developments in Lignocellulosic Biofuel Production with Nanotechnological Intervention: An Emphasis on Ethanol
Biofuel, an inexhaustible fuel source, plays a pivotal role in the contemporary era by diminishing the dependence on non-renewable energy sources and facilitating the mitigation of CO2 emissions. Due to the many constraints in existing technology and the resulting increased costs, the production of biofuels on a large scale is a laborious process. Furthermore, the methods used to convert varied feedstock into the intended biofuel may vary based on the specific techniques and materials involved. The demand for bioethanol is increasing worldwide due to the implementation of regulations by world nations that mandates the blending of bioethanol with petrol. In this regard, second-generation bioethanol made from lignocellulosic biomass is emerging at a rapid rate. Pre-treatment, hydrolysis, and fermentation are some of the technical, practical, and economic hurdles that the biochemical conversion method must overcome. Nanoparticles (NPs) provide a very effective approach to address the present obstacles in using biomass, due to their selectivity, energy efficiency, and time management capabilities, while also reducing costs. NPs smaller dimensions allow them to be more effective at interacting with lignocellulosic components at low concentrations to release carbohydrates that can be utilized to produce bioethanol. This article provides a concise overview of various biofuels and the nanotechnological advancements in producing it, with a particular emphasis on ethanol. It provides a detailed discussion on the application of nanotechnology at each stage of ethanol production, with a particular emphasis on understanding the mechanism of how nanoparticles interact with lignocellulose
Root Trait Variation in Lentil (<i>Lens culinaris</i> Medikus) Germplasm under Drought Stress
Drought is the most critical environmental factor across the continents affecting food security. Roots are the prime organs for water and nutrient uptake. Fine tuning between water uptake, efficient use and loss determines the genotypic response to water limitations. Targeted breeding for root system architecture needs to be explored to improve water use efficiency in legumes. Hence, the present study was designed to explore root system architecture in lentil germplasm in response to drought. A set of 119 lentil (Lens culinaris Medik.) genotypes was screened in controlled conditions to assess the variability in root traits in relation to drought tolerance at seedling stage. We reported significant variation for different root traits in lentil germplasm. Total root length, surface area, root volume and root diameter were correlated to the survival and growth under drought. Among the studied genotypes, the stress tolerance index varied 0.19–1.0 for survival and 0.09–0.90 for biomass. Based on seedling survival and biomass under control and drought conditions, 11 drought tolerant genotypes were identified, which may be investigated further at a physiological and molecular level for the identification of the genes involved in drought tolerance. Identified lines may also be utilised in a lentil breeding program
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Not AvailableYellow Mosaic Disease (YMD) in mungbean [Vigna radiata (L.) R. Wilczek] is one of the most damaging diseases in Asia. In the northern part of India, the YMD is caused by Mungbean Yellow Mosaic India Virus (MYMIV), while in southern India this is caused by Mungbean Yellow Mosaic Virus (MYMV). The molecular mechanism of YMD resistance in mungbean remains largely unknown. In this study, RNA-seq analysis was conducted between a resistant (PMR-1) and a susceptible (Pusa Vishal) mungbean genotype under infected and control conditions to understand the regulatory network operating between mungbean-YMV. Overall, 76.8 million raw reads could be generated in different treatment combinations, while mapping rate per library to the reference genome varied from 86.78% to 93.35%. The resistance to MYMIV showed a very complicated gene network, which begins with the production of general PAMPs (pathogen-associated molecular patterns), then activation of various signaling cascades like kinases, jasmonic acid (JA) and brassinosteroid (BR), and finally the expression of specific genes (like PR-proteins, virus resistance and R-gene proteins) leading to resistance response. The function of WRKY, NAC and MYB transcription factors in imparting the resistance against MYMIV could be established. The string analysis also revealed the role of proteins involved in kinase, viral movement and phytoene synthase activity in imparting YMD resistance. A set of novel stress-related EST-SSRs are also identified from the RNA-Seq data which may be used to find the linked genes/QTLs with the YMD resistance. Also, 11 defence-related transcripts could be validated through quantitative real-time PCR analysis. The identified gene networks have led to an insight about the defence mechanism operating against MYMIV infection in mungbean which will be of immense use to manage the YMD resistance in mungbean.Indian Council of Agricultural Research (ICAR), New DelhiSERB, New Delhi (CRG/2019/002024
Components of individual exit interviews with horse owners in participatory intervention (PI) and control (C) groups at the end of the 2-year project.
<p><sup>1</sup> Semi-structured interview questions were addressed directly to each horse owner and referred to the 2-year project period only. In some cases the owner was absent and the interview was carried out with a relative.</p><p><sup>2</sup> Each card stated a single equine resource or management need taken from the monitoring chart used in group meetings, as shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0126160#pone.0126160.t002" target="_blank">Table 2</a>. Some cards referred to management or work practices which were only relevant to some horses, for example cart maintenance, feeding during pregnancy. These were omitted from the card-sorting exercise for individual owners if not relevant.</p><p>Components of individual exit interviews with horse owners in participatory intervention (PI) and control (C) groups at the end of the 2-year project.</p
Significant differences in lameness and limb-related abnormalities between Baseline and Final examinations of 149 working horses belonging to 131 owners from Jaipur, India.
<p>(Participatory intervention group n = 83 horses belonging to 73 people; Control group n = 66 horses belonging to 58 people). The group with the largest relative improvement between Baseline and Final has the text depicting the magnitude of change in bold.</p><p><sup>1</sup> See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0124342#pone.0124342.t001" target="_blank">Table 1</a> for scoring methods</p><p><sup>2</sup> For continuous or ordinal data = mean of horses (for whole horse measures) or limbs (for limb-specific measures) affected. For binary measures or those aggregated into two groups for analysis = percentage of horses/ limbs affected</p><p><sup>3</sup> Relative improvement: the group which showed the most positive clinical change and/or the least negative clinical change (except for 'Shod' and 'Active response when approached' where no clinical value was applied)</p><p><sup>4</sup> Calculated as Year 1—Year 3, i.e. a positive value = clinical improvement; a negative value = deterioration (except for 'Shod' and 'Active response when approached' where no clinical value was applied)</p><p><sup>5</sup> 1st-order MQL estimation (otherwise, less-biased 2nd-order PQL estimation was employed in all binary and multinomial response models)</p><p>Significant differences in lameness and limb-related abnormalities between Baseline and Final examinations of 149 working horses belonging to 131 owners from Jaipur, India.</p