High-protein rice in high-yielding background, cv. Naveen.

Not AvailableWhile the developing world is approaching towards food security, nutritional aspects must be addressed properly to combat malnutrition. As the staple food of half of the world’s population, rice is a major source of nutrition and needs to be nutritionally enriched with proteins, micronutrients, etc. With the objective of quantitative and qualitative improvement of grain protein content (GPC) in a popular high-yielding background, ‘Naveen’, we developed backcross popu-lation using high GPC (11%–13%) donor, ARC 10075. The range of GPC in BC3F4 lines was 7.13%–13.6%, estimated through calibrated NIR spectroscopy. Among the population lines, seven having phenotypic similarity with the recurrent parent, Naveen were identified based on high yield coupled with high pro-tein content (10%–12%). Further, elevated levels of glutelin and some of the essential amino acids such as lysine and threonine also indicated the qualitative im-provement of grain protein of these lines. Based on higher GPC and protein yield in multilocational test-ing two high-yielding lines, viz. CR2829-PLN-37 (CR Dhan 310), and CR 2829-PLN-100 (CR Dhan 311/Mukul) in the genetic background of cv. Naveen with an average 10.2% and 10.1% GPC respectively, in polished rice were released at the national and state level respectively. These high-yielding varieties with high GPC can significantly contribute towards better nourishment of millions of underprivileged children depending mainly on rice for their nutrition.Not Availabl

Effect of pigmentation on physical, phytochemical and antioxidant properties of traditional rice landraces from Odisha region (India)

A study was conducted in the Odisha region of India to assess genetic parameters, heritability, and trait associations in twenty traditional pigmented and non-pigmented rice landraces. The evaluation focused on twenty-five physical, phytochemical, and antioxidant properties. The results showed potential for enhancing desired traits in pigmented rice due to a wide range of genotypic variation, high heritability, and substantial genetic advances. These improvements were particularly observed in characteristics such as porosity, total soluble sugar, phytochemicals, and antioxidant properties in pigmented rice. Additionally, properties like the length-breadth ratio of grains, thickness, diameter, thousand grain weight, and bulk density of grains can be used for trait improvement in non-pigmented rice. Physical attributes like thickness, grain weight, and porosity, as well as phytochemical traits like total soluble sugar and protein content, were notably higher in pigmented rice. Correlations between traits indicated that Pigmented rice was associated with phytochemical and antioxidant properties, while Non-pigmented rice was linked to amylose content, density, and the length-breadth ratio of grains. Two promising pigmented genotypes, Bodikaberi and Mahipaljeera, were identified and could be valuable for future rice breeding programs. Moreover, these genotypes have potential applications in the food industry for creating value-added products to enhance nutritional quality and could also be relevant to the cosmetic industry due to their superior antioxidant properties.

Rice Bran: Packed with Goodness

36-37Rice Bran, a waste product of rice processing, is an inexpensive food known to reduce cholesterol, prevent heart attack and control diabetes

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Not AvailableWith the escalating persuasion of economic and nutritional importance of rice grain protein and nutritional components of rice bran (RB), NIRS can be an effective tool for high throughput screening in rice breeding programme. Optimization of NIRS is prerequisite for accurate prediction of grain quality parameters. In the present study, 173 brown rice (BR) and 86 RB samples with a wide range of values were used to compare the calibration models generated by different chemometrics for grain protein (GPC) and amylose content (AC) of BR and proximate compositions (protein, crude oil, moisture, ash and fiber content) of RB. Various modified partial least square (mPLSs) models corresponding with the best mathematical treatments were identified for all components. Another set of 29 genotypes derived from the breeding programme were employed for the external validation of these calibration models. High accuracy of all these calibration and prediction models was ensured through pair t-test and correlation regression analysis between reference and predicted values.Not Availabl

Applications of GIS and Geospatial analyses in COVID-19 research: A systematic review

Geographic Information Science (GIS) had established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the scientific landscape on the integration of GIS in the COVID related studies is largely unknown. In this systematic review, we assessed the current evidence on the implementation of GIS and other geospatial tools and technologies in COVID-19 pandemic. We systematically retrieved and reviewed 79 research articles that either directly used GIS or other Geospatial tools as part of their analysis. We grouped the identified papers under six broader thematic groups based on the objectives and research questions of the study- environmental, socio-economic, and cultural, public health, spatial transmission, computer-aided modeling, and data mining. The interdisciplinary nature of how geographic and spatial analysis was used in COVID-19 research was noticeable among the reviewed papers. Although GIS has substantial potential in planning to slow down the spread, surveillance, contact tracing, and identify the trends and hotspots of breakdowns, it was not employed as much as it could have been. This review not only provided an overarching view on how GIS has been used in COVID-19 research so far but also concluded that this geospatial analysis and technologies could be used in future public health emergencies along with statistical and other socio-economic modeling techniques. Our systematic review also provides how both scientific communities and policymakers could leverage GIS to extract useful information to make an informed decision in the coming days

Applications of GIS and Geospatial analyses in COVID-19 research: A systematic review

Geographic Information Science (GIS) had established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the scientific landscape on the integration of GIS in the COVID related studies is largely unknown. In this systematic review, we assessed the current evidence on the implementation of GIS and other geospatial tools and technologies in COVID-19 pandemic. We systematically retrieved and reviewed 79 research articles that either directly used GIS or other Geospatial tools as part of their analysis. We grouped the identified papers under six broader thematic groups based on the objectives and research questions of the study- environmental, socio-economic, and cultural, public health, spatial transmission, computer-aided modeling, and data mining. The interdisciplinary nature of how geographic and spatial analysis was used in COVID-19 research was noticeable among the reviewed papers. Although GIS has substantial potential in planning to slow down the spread, surveillance, contact tracing, and identify the trends and hotspots of breakdowns, it was not employed as much as it could have been. This review not only provided an overarching view on how GIS has been used in COVID-19 research so far but also concluded that this geospatial analysis and technologies could be used in future public health emergencies along with statistical and other socio-economic modeling techniques. Our systematic review also provides how both scientific communities and policymakers could leverage GIS to extract useful information to make an informed decision in the coming days.</p