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Background: Rice breeding program needs to focus on development of nutrient dense rice for value addition and helping in reducing malnutrition. Mineral and vitamin deficiency related problems are common in the majority of the population and more specific to developing countries as their staple food is rice.

Results: Genes and QTLs are recently known for the nutritional quality of rice. By comprehensive literature survey and public domain database, we provided a critical review on nutritional aspects like grain protein and amino acid content, vitamins and minerals, glycemic index value, phenolic and flavonoid compounds, phytic acid, zinc and iron content along with QTLs linked to these traits. In addition, achievements through transgenic and advanced genomic approaches have been discussed. The information available on genes and/or QTLs involved in enhancement of micronutrient element and amino acids are summarized with graphical representation.

Conclusion: Compatible QTLs/genes may be combined together to design a desirable genotype with superior in multiple grain quality traits. The comprehensive review will be helpful to develop nutrient dense rice cultivars by integrating molecular markers and transgenic assisted breeding approaches with classical breeding.

Background: Chemotherapy-induced nausea and vomiting (CINV) is a major adverse toxicity of cancer chemotherapy. Recommended treatments for prevention of CINV vary among published guidelines, and optimal care for CINV caused by moderately emetogenic chemotherapy has not been established. This study assessed the efficacy and safety of triple antiemetic therapy comprising palonosetron, dexamethasone and aprepitant for carboplatin-based chemotherapy. Chemotherapy-naïve patients with lung cancer scheduled for a first course of a carboplatin-containing regimen formed the study cohort. Patients were pretreated with antiemetic therapy comprising palonosetron (0.75 mg, i.v.) and dexamethasone (9.9 mg, i.v.) on day 1, and aprepitant (125 mg, p.o.) on day 1 followed by 80 mg on days 2 and 3. Primary endpoint was the proportion of patients who did not experience vomiting and did not require rescue medication [complete response (CR)] in the acute phase (0-24 h), late phase (24-168 h) and overall. Secondary endpoint was the proportion of patients who experienced no vomiting episodes and no more than mild nausea without the need for rescue medication [complete control (CC)].

Results: Prevalence of a CR during the acute phase, delayed phase, and overall was 100, 91.9 and 91.9%, whereas that of CC was 100, 84.4 and 84.4%, respectively. The most common adverse event was mild constipation; severe adverse events related to antiemetic treatment were not observed.

Conclusion: Triple antiemetic therapy comprising palonosetron, dexamethasone and aprepitant shows excellent effects in the prevention of CINV in patients receiving a carboplatin-containing regimen.

Accurate model of structural elements is necessary to model the foliage and fruit distributions in cultivated plants, both of them being key parameters for yield prediction. However, the level of details in architectural data collection could vary, simplifying the data collection when plants get older and because of the high time cost required. In the present study, we aimed at reconstructing and analyzing plant structure, berry distributions and yield in Coffea arabica (Arabica coffee), by using both detailed or partial morphological information and probabilistic functions. Different datasets of coffee plant architectures were available with different levels of detail depending on the tree age. Three scales of decomposition-plant, axes and metamers were used reconstruct the plant architectures. CoffePlant3D, a software which integrates a series of mathematical, computational and statistical methods organized in three newly developed modules, AmostraCafe3D, VirtualCafe3D and Cafe3D, was developed to accurately reconstruct coffee plants in 3D, whatever the level of details available. The number of metamers of the 2nd order axes was shown to be linearly proportional to that of the orthotropic trunk, and the number of berries per metamer was modeled as a Gaussian function within a specific zone along the plagiotropic axes. This ratio of metamer emission rhythm between the orthotropic trunk and plagiotropic axes represents the pillar of botanical events in the C. arabica development and was central in our modeling approach, especially to reconstruct missing data. The methodology proposed for reconstructing coffee plants under the CoffePlant3D was satisfactorily validated across dataset available and could be performed for any other Arabica coffee variety.