Genetic and molecular analysis of leaf blast resistance in Tetep derived line RIL4 and its relationship to genes at Pita/Pita locus.

The Vietnamese indica landrace 'Tetep' is known worldwide for its durable and broad spectrum-resistance to blast. We performed genetic and molecular analyses of leaf blast resistance in a Tetep derived recombinant inbred line 'RIL4' which is resistant to both leaf and neck blast. Phenotypic analysis of segregating F progenies suggested that leaf blast resistance in RIL4 was controlled by a dominant gene tentatively designated as Pi-l(t).

Diversity of culturable gut bacteria of diamondback moth, Plutella xylostella (Linnaeus) (Lepidoptera: Yponomeutidae) collected from different geographical regions of India.

Diamondback moth, Plutella xylostella is one of the important pests of cole crops, the larval stages cause damage to leaves from seedling stage to the harvest thus reducing the quality and quantity of the yield. The insect gut posses a large variety of microbial communities among which, the association of bacteria is the most spread and common. Due to variations in various agro-climatic factors, the insect often assumes the status of major pest.

Geospatial technology in agroforestry: status, prospects, and constraints.

Agroforestry has an indispensable role in food and livelihood security in addition to its capacity to combat the detrimental effects of climate change. However, agroforestry has not been properly promoted and exploited due to lack of precise extent, geographical distribution, and carbon sequestration (CS) assessment. The recent advent of geospatial technologies, as well as free availability of spatial data and software, can provide new insights into agroforestry resources assessment, decision-making, and policy development despite agroforestry's small spatial extent, isolated nature, and higher structural and functional complexity of agroforestry.

Label-free quantitative proteomics of Sorghum bicolor reveals the proteins strengthening plant defense against insect pest Chilo partellus.

Background: Spotted stem borer- Chilo partellus - a Lepidopteran insect pest of Sorghum bicolor is responsible for major economic losses. It is an oligophagous pest, which bores through the plant stem, causing 'deadheart' and hampering the development of the main cob. We applied a label-free quantitative proteomics approach on three genotypes of S.

Bioprospecting Psychrotrophic Bacteria for Serine-Type Proteases from the Cold Areas of Western Himalayas.

The aim of present study was to analyze the prevalence of protease diversity among psychrotrophic bacteria in Lahaul and Spiti of the Western Himalayas. A total of 459 bacteria were screened and protease activity was observed in 150 isolates at 5 °C. Furthermore, 55 isolates showed protease activity up to pH 10 at 5 °C.

Trends in extracellular serine proteases of bacteria as detergent bioadditive: alternate and environmental friendly tool for detergent industry.

Proteases, one of the largest groups of industrial enzymes occupy a major share in detergent industry. To meet the existing demands, proteases with efficient catalytic properties are being explored from bacteria residing in extreme habitats. Alkaline proteases are also considered as promising candidates for industrial sectors due to the activity and stability under alkaline and harsh environment.

Degradation kinetics of bioactive components, antioxidant activity, colour and textural properties of selected vegetables during blanching.

Bioactive components of fruit and vegetables play an important role in scavenging free radicals and protect the body from degenerative diseases. A kinetic study was conducted to quantify the losses occurring in bioactive components, antioxidant activity and changes in colour and firmness of four commonly used vegetables (beetroot, green pea, eggplant and green pepper) during heat treatment (70-90 °C). The study revealed that logistic model can predict the variation in bioactive components and antioxidant activity with higher R and lower root mean square error (RMSE) as compared to first order model due to logarithmic reduction in these properties in the beginning of the process itself.