Stability Analysis For Yield And Yield Contributing Characters Of Tomato Under High Temperature Conditions

The current study was aimed at evaluating the stability of tomato yield and yield-contributing characteristics during three sowing intervals (February, March, and April) under high-temperature regimes, Pooled analysis of variance was performed on twenty-five genotypes, including eight parents, fifteen hybrids, and two checks, for seventeen agronomic traits. Except for plant height, ANOVA findings have revealed substantial differences among tomato genotypes, with environmental conditions playing a major role on genotype performance. The genotypes differed significantly in terms of days to 50% flowering, number of flowers per cluster, and fruit length, indicating significant variability among growing seasons. Furthermore, root length showed significant genotype x environment interactions, whereas the remaining variables are found non-significant. Among the three sowing intervals, February sowing (1st interval) was found to be the most beneficial environment for tomato growth, yield, and quality features, with the highest positive environmental indices for the majority of growth, yield, and quality contributing traits. In contrast, the April sowing period (3rd interval) was found to be most unfavorable, with the highest negative environmental indices for the traits studied. This study underlined the significant influence of environmental factors on the performance of tomato genotypes, in terms of multiple yield and yield-contributing attributes. The findings emphasize the importance of choosing the optimum sowing interval, with February as the most favorable season for cultivating tomatoes in the present study location under high-temperature conditions. These findings would help to guide the decision-making process in similar agro-climatic regions to improve the tomato output and quality

A Pictorial Guide to the Identification of Seedborne Fungi of Sorghum,Pearl Millet, Finger Millet, Chickpea,Pigeonpea, and Groundnut.Information Bulletin no. 34.

Seeds of sorghum, pearl millet, finger millet, chickpea, plgeonpea, and groundnut are known to harbor over 62 seed borne fungi belonging to 37 genera. In thiS bulletin, an attempt has been made to help agncultural sCientists and students Identify seedborne fungi, usually observed dunng the seed health tests conducted for phytosanltary certification of the SIX ICRISAT mandate crops ThIS bulletin proVides descnptlons and Illustrations of 45 s.eedborne methods of seed transmiSSion, detection, symptoms on the seed, morphological charactenstlcs of the fungi, quarantine Importance, and control measures to eradicate seedborne Inoculum and to prevent Inadvertent Introductions. Microphotographs are Included to help Identify the fungi. A world list of seedborne dISeases IS also given to help regulatory agencies formulate poliCies InvolVing seedborne fungi, so that unnecessary restnctlons on the movement of disease-free germ plasm can be aVOide

Synthesis, Spectral Characterization and Antimicrobial Studies of Co(II) Complexes with Tetradentate Schiff bases Derived from Ortho-Phthalaldehyde

A series of cobalt (II) complexes have been synthesized with Schiff bases derived from ortho-phthalaldehyde and various amines in aqueous methanol solution. The newly synthesized Schiff bases and their Co (II) complexes have been characterized  by elemental analysis, magnetic susceptibility, thermal, conductance measurements, mass, IR, electronic, 1H,13C-NMR spectral techniques. These ligands act as tetradentate species and coordinate to the metal center through the different potential donor atoms such as N, O and S. The probable octahedral structures have been assigned to these complexes. All the synthesized Schiff base ligands and Co(II) metal complexes have also been screened for their antimicrobial activities and metal complexes found to be more active than respective Schiff-base ligands

Sweet sorghum bagasse – An alternative feed resource for livestock

Livestock production in the developing countries has been one of the most important economic and social activities of human culture. Among the livestock, ruminants have served and will continue to serve a valuable role in sustainable agricultural systems. They are particularly useful in converting vast renewable resources from rangeland, pasture and crop residues into food edible for humans. India has a huge ruminant population comprising of 210.2 million of cattle, 111.3 million buffaloes, 74.0 million of sheep, 154 million of goats, producing 117.0 million tons of milk and 3.4 million tons of meat (FAOSTAT 2010). Since 1970, there has been a consistent rise in the production of milk (4.7%) and meat (3.4%). Growth in livestock output, with the exception of milk, has primarily been driven by an increase in animal numbers. Yield growth in meat has been negligible, more so in the case of sheep and goats. Nutrition remains by far the most critical constraint to increased animal productivity and more efficient performance across the developing countries (ILRI 1995) with the perpetual gap between the demand and supply of digestible crude protein (DCP) and total digestible nutrients (TDN); about 35 and 37 per cent (Ramachandra et al. 2005)

An Extensive Benchmark Experimental Evaluation of Methods for Multi Label Learning In R

A smart product is one that is able to immingle with masses. Sensible merchandise does not seem to be solely easy merchandise, however, with a touch of cleverness supplemental to permit the user some flexibility operative. Smart product adapts to the context of the user and does not force the user to adapt to that. Sensible merchandise have a group of properties that creates them distinctive area unit self informative, self organizing, extensible, self property, device capabilities, practicality, integrity, user services, property. The client’s ranking or priority whereas shopping for varied sensible merchandise area unit dynamical day by day as a result of advancements in technology and customer principally target the advanced options of the sensible merchandise they are shopping for. This paper principally shows, however, affectively sensible merchandise area unit utilized by the shoppers and area unit hierarchic based mostly upon their performance by exploitation R language and WEKA. By using R we can have a deep analysis over the various smart products and the user can be able to know the most widely purchased smart products according to their ranking. We can have deep analysis of smart products using data mining classification and prediction techniques such as J48, Random Forest machine learning algorithms in WEKA and R Language. R allows wide number of smart products data and analyzes with in limited resources. The WEKA and R language is opted to see the classification and prediction performances. Four measures (sensitivity, specificity, accuracy, F–measure) of performance here considered are based on confusion matrix/Error Matrix of R and WEKA, table of counts revealing the performance of each algorithm’s confusion regarding the true classifications and predictions. The observation of all the four performance measures used to analyze the smart products use

Data Analytics in Abroad and Indian Education System-Using Data Mining Classification Techniques by R Language

Education System in recent years has been a progression, in Indian and Abroad Education system. In selecting the next education establishment by the scholars. The most key terms of selecting associate in nursing institute area unit pursue data, institute enfranchisement, institute ranking, freshman retention, graduation rates and strength of the college resources, location, feel of field life, placement records, analysis activities, course length, course outcome, educational offerings, activities and sports, price of the provision of economic aid and etc. This paper proposes to handle the coed quality in choosing an establishment to pursue educational activity in abroad/India supported the on top of mentioned key terms by having a deep analysis victimization data processing, classification and prediction model techniques victimization R language with Rattle Package

Medicinal and Aromatic Plants for Diversifying Semi-Arid Tropical (SAT) Systems: A Case of Public Private Partnership (PPP).Global Theme on Agroecosystems Report No. 44

In the community watersheds in Asia, with improved water availability farmers diversify their cropping systems with high-value crops for increasing the incomes through efficient use of water and other natural resources. International Crops Research Institute for Semi-Arid Tropics (ICRISAT) is developing sustainable and economically productive livelihood opportunities in rural areas through crop diversification. To help small scale farmers, promising strategies for crop iversification are taken up by linking up with reliable partners who could provide support with production technology and market high-value medicinal and aromatic plants (MAPs) through public-private partnership (PPP) mode. The lead crops selected by farmers that are the focus of this case study include lemongrass (Cymbopogan flexuosus), coleus (Coleus forskolii), and Aswagandha (Withinia sominifera). The farmers in the project area were resource poor, facing constraints such as, poor infrastructure, unscrupulous middlemen, and absence of production technology and reliable market for their crops to increase their farm income. By introduction of MAPs through technical backstopping, capacity building, and marketing support from private industries, the partnership was developed to benefit farmers. As a result of this innovative partnership with private sector, farmers increased their farm income as compared to their conventional crops. In addition, rural employment was generated due to the need of post-harvest handling and processing of their crops, more profitable crops were grown, adding product value through village level processing. This holistic participatory process-oriented approach includes new science tools, linking on-station research to on-farm watersheds, thematic and technical backstopping tested successfully on pilot scale in SAT districts of Andhra Pradesh, India, under APRLP-ICRISAT Project

Associations between purine metabolites and clinical symptoms in schizophrenia

Background: The antioxidant defense system, which is known to be dysregulated in schizophrenia, is closely linked to the dynamics of purine pathway. Thus, alterations in the homeostatic balance in the purine pathway may be involved in the pathophysiology of schizophrenia. Methodology/Principal Findings: Breakdown products in purine pathway were measured using high-pressure liquid chromatography coupled with a coulometric multi-electrode array system for 25 first-episode neuroleptic-naïve patients with schizophrenia at baseline and at 4-weeks following initiation of treatment with antipsychotic medication. Associations between these metabolites and clinical and neurological symptoms were examined at both time points. The ratio of uric acid and guanine measured at baseline predicted clinical improvement following four weeks of treatment with antipsychotic medication. Baseline levels of purine metabolites also predicted clinical and neurological symtpoms recorded at baseline; level of guanosine was associated with degree of clinical thought disturbance, and the ratio of xanthosine to guanosine at baseline predicted degree of impairment in the repetition and sequencing of actions. Conclusions/Significance: Findings suggest an association between optimal levels of purine byproducts and dynamics in clinical symptoms and adjustment, as well as in the integrity of sensory and motor processing. Taken together, alterations in purine catabolism may have clinical relevance in schizophrenia pathology

Public-private sector partnership in diversifying semi - arid tropical (SAT) systems through medicinal and aromatic plants

The broad objective of the project is to enhance and sustain the productivity of medium and high water-holding capacity soils in the intermediate rainfall eco-regions of the semi-arid tropics of Asia. International Crops Research Institute for Semi-Arid Tropics (ICRISAT) has been developing sustainable and economically productive livelihood opportunities in rural areas through crop diversification and value addition. Promising strategies for crop diversification to help small-scale farmers linking up with reliable partners to support them with production technology and market high-value medicinal and aromatic (MAP) in public-private partnership mode. the lead crops selected by the farmers are in the focus of this case study are lemongrass (Cymbopogan flexuosus), coleus (Coleus forskolii), and Aswagandga(Withinia sominifera ). The farmers in the project area were resource poor, facing constraints such as, poor infrastructure, unscrupulous middlemen, and absence of production technology and reliable market for their crops to increase their farm income. By introduction of medicinal and aromatic plants (MAP) through technical backstopping, capacity building, and marketing support from private industries partnership developed. As a result of this innovative partnership with private sector has increased their farm income of project farmers when compared to their conventional crops, in addition , rural employment was generated due to the need of post-harvest handling and processing of their crops, increased trade value of crop products by growing more profitable crops and adding product value through village level processing. This holistic participatory process oriented approach includes new science tools, linking on-station research to on-farm watersheds, thematic and technical backstopping through private partnership and consortium of institutions were tested successful on pilot scale in SAT districts of Andhra Pradesh, India under APRLP-ICRISAT Project