Effect of Different GA3 Concentration and Frequency on Growth, Flowering and Yield in Gaillardia (Gaillardia pulchella Foug.) Cv. Lorenziana

The present experiment was conducted at the Horticultural Instructional Farm, Department of Horticulture, J.A.U., Junagadh during the winter 2004-05. The experiment comprised of ten treatments, viz., three concentrations of GA3 (50, 150, 250 ppm) at three frequencies (single, double and triple spray at 30, 45 and 60 days from transplanting) and control. Each treatment was replicated thrice in randomized block design. Of the different treatments, GA3 250 ppm single spray recorded maximum plant height and plant spread. Number of branches per plant was highest under double spray of GA3 at 50 ppm. Longest flowering duration, maximum flower diameter and maximum shelf-life were observed with single spray of 250 ppm GA3. It also registered maximum number and weight of flowers per plant besides highest flower yield

Performance of Banana Cultivars in Gujarat

Field experiments were conducted for three years to assess the performance and select the cultivar ideally suited to Saurashtra region in Gujarat. The cultivars evaluated were Basrai, Harichal, Robusta, Gros Michel, Gandevi Selection and Lacatan. Of these, Gandevi Selection proved superior, with regard to growth parameters, yield characters and its attributes. It also yielded the highest benefit cost ratio

Characterization of a Drosophila Alzheimer's Disease Model: Pharmacological Rescue of Cognitive Defects

Transgenic models of Alzheimer's disease (AD) have made significant contributions to our understanding of AD pathogenesis, and are useful tools in the development of potential therapeutics. The fruit fly, Drosophila melanogaster, provides a genetically tractable, powerful system to study the biochemical, genetic, environmental, and behavioral aspects of complex human diseases, including AD. In an effort to model AD, we over-expressed human APP and BACE genes in the Drosophila central nervous system. Biochemical, neuroanatomical, and behavioral analyses indicate that these flies exhibit aspects of clinical AD neuropathology and symptomology. These include the generation of Aβ40 and Aβ42, the presence of amyloid aggregates, dramatic neuroanatomical changes, defects in motor reflex behavior, and defects in memory. In addition, these flies exhibit external morphological abnormalities. Treatment with a γ-secretase inhibitor suppressed these phenotypes. Further, all of these phenotypes are present within the first few days of adult fly life. Taken together these data demonstrate that this transgenic AD model can serve as a powerful tool for the identification of AD therapeutic interventions

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Not AvailableNineteen bidi tobacco genotypes (cytoplasmic male sterility based) along with MRGTH 1 were used for investigation. The hybrid genotypes were evaluated in randomize block design with three replication and 90 x 75 cm spacing in three consecutive year (201314 to 2015-16) at Bidi Tobacco Research Station, Anand Agricultural University, Anand. The result of pooled analysis revealed that mean square of G X E interaction was significant for cured leaf yield, indicating the differential response of genotypes to environments. The genotypes BTH 331, BTH 336, BTH 338, BTH 339 and BTH 342 exhibited high mean performance (x), non significant regression coefficient (bi) and minimum deviation from regression (S2di) indicated these hybrids were stable and adapted to all environment for cured leaf yield, whereas, genotypes BTH315, BTH 332, BTH 333 and MRGTH 1 were favorable to better environment for cured leaf yield due to its significant high responsiveness (b>1) and non significant deviation from regression. Genotypes BTH 328, BTH 329, BTH 337 and BTH 341 were unstable to changing environment because of significant deviation from regression with low mean yield performanceNot Availabl

An open-source python library for detection of known and novel Kell, Duffy and Kidd variants from exome sequencing

Background and objectives: Next generation sequencing (NGS) has promising applications in transfusion medicine. Exome sequencing (ES) is increasingly used in the clinical setting, and blood group interpretation is an additional value that could be extracted from existing data sets. We provide the first release of an open-source software tailored for this purpose and describe its validation with three blood group systems. Materials and methods: The DTM-Tools algorithm was designed and used to analyse 1018 ES NGS files from the ClinSeq® cohort. Predictions were correlated with serology for 5 antigens in a subset of 108 blood samples. Discrepancies were investigated with alternative phenotyping and genotyping methods, including a long-read NGS platform. Results: Of 116 genomic variants queried, those corresponding to 18 known KEL, FY and JK alleles were identified in this cohort. 596 additional exonic variants were identified KEL, ACKR1 and SLC14A1, including 58 predicted frameshifts. Software predictions were validated by serology in 108 participants; one case in the FY blood group and three cases in the JK blood group were discrepant. Investigation revealed that these discrepancies resulted from (1) clerical error, (2) serologic failure to detect weak antigenic expression and (3) a frameshift variant absent in blood group databases. Conclusion: DTM-Tools can be employed for rapid Kell, Duffy and Kidd blood group antigen prediction from existing ES data sets; for discrepancies detected in the validation data set, software predictions proved accurate. DTM-Tools is open-source and in continuous development. © 2020 International Society of Blood Transfusio