One of the major abiotic stresses that affects plant growth and development is anoxia or hypoxia. Rice is a semi-aquatic plant bestowed with the capability of overcoming oxygen limitation for a considerable period of time. For instance, it can withstand submergence stress either by inherent metabolic adaptations (resistant type), or by keeping its leaves above the water surface by continuously elongating the stem (avoiding type). In the former case, an interplay of several metabolic pathways engaged in anaerobic fermentation keeps the submerged plant alive for a certain period of time. In the latter type, also known as deepwater rice, continuous stem elongation brought about by a series of reactions in planta enables the shoot to remain above the water surface and thus maintain respiration and photosynthesis. However, the earliest event, i.e., sensing the oxygen level that brings about all the changes, has not been clearly understood. This paper intends to evaluate the metabolic adaptations of rice plants to oxygen constraints.

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Lack of appropriate donors, non-utilization of high throughput phenotyping and genotyping platforms with high genotype × environment interaction restrained identification of robust QTLs for grain protein content (GPC) in rice. In the present investigation a  BC 3 F 4 mapping population was developed using grain protein donor, ARC10075 and high-yielding cultivar Naveen and 190 lines were genotyped using 40 K Affimetrix custom SNP array with the objective to identify stable QTLs for protein content. Three of the identified QTLs, one for GPC ( qGPC1 . 1 ) and the other two for single grain protein content ( qSGPC 2. 1 , qSGPC7 . 1 ) were stable over the environments explaining  13%, 14% and 7.8% of the phenotypic variances, respectively. Stability and repeatability of these additive QTLs were supported by the synergistic additive effects of multi-environmental-QTLs. One epistatic-QTL, independent of  the  main effect QTL was detected over the environment for SGPC. A few functional genes governing seed storage protein were hypothesised inside these identified QTLs. The qGPC1 . 1 was validated by NIR Spectroscopy-based high throughput phenotyping in BC 3 F 5 population. Higher glutelin content was estimated in high-protein lines with the introgression of qGPC1 . 1 in telomeric region of short arm of chromosome 1. This was supported by the postulation of probable candidate gene inside this QTL region encoding glutelin family proteins.

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Effect of Fe nutrition on Fe acquisition, aconitase enzyme activity and assimilation of the element in ferritin protein was studied in two indica rice cultivars viz. Sharbati and Lalat having contrasting grain Fe concentration. Young rice seedlings were grown in hydroponics with different levels of Fe. For comparison, the two cultivars were also grown in the field under natural conditions of rice culture. Iron accumulation, aconitase activity and ferritin level were higher in the high Fe containing cultivar, Sharbati than that in the low Fe containing cultivar, Lalat. While aconitase activity increased consistently with the increase in concentration of Fe in the growing medium, the same was not found to be true for accumulation of ferritin protein. The leaf ferritin level increased up to a certain level of Fe in the growing medium and declined thereafter. Levels of Fe in the growing medium giving maximum ferritin synthesis were found to be different in the two rice cultivars. In both cultivars, aconitase activity attained maximum level after 20 days of panicle emergence (heading). Pattern of Fe accumulation in the leaves in response to increasing Fe level in the nutrient solution paralleled with that of the aconitase activity indicating a positive correlation. It was concluded that accumulation of both ferritin protein and aconitase enzyme were influenced not only by the Fe level in the growing medium but also by the internal Fe concentration of the two cultivars.