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Adaptability of Bt

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  • Development of high yielding, genetically stable Bt-cotton hybrid has been a priority in cotton breeding. Popular biometric tools such as AMMI and GGEbiplot analyses were compared to identify the stability of cotton hybrids for seed cotton yield across three locations in India.

    pdf10p trinhthamhodang9 16-12-2020 15 1   Download

  • Cotton has a proud place among the crops from earliest times. Apart from seed cotton the cotton seed oil also has very good quality and vitamin E. Among 24 Bt and their counterparties non-Bt hybrids evaluated JKCH2245 non-Bt, K-5038 Bt, KDCHH-441 Bt, NCEN-2R non-Bt, Dhruva Bt and JKCH-99 Bt hybrids were identified as stable yielders for south and central India.

    pdf26p kethamoi4 16-04-2020 10 1   Download

  • Tomato grown during the main season (winter) causes a glut of produce in the market and its sale price is also very low. But the crop grown in rainy season has a better demand and is much remunerative for the farmer. Therefore, the present experiment was undertaken to develop and identify tomato hybrids well adapted to the rainy season. The experiment was conducted at the All India Co-ordinated Research Project on Vegetable Crops, Orissa University of Agriculture and Technology, Bhubaneswar.

    pdf8p trinhthamhodang3 22-02-2020 10 2   Download

  • Tomato grown during the main season (winter) causes a glut of produce in the market and its sale price is also very low. But the crop grown in rainy season has a better demand and is much remunerative for the farmer. Therefore, the present experiment was undertaken to develop and identify tomato hybrids well adapted to the rainy season. The experiment was conducted at the All India Co-ordinated Research Project on Vegetable Crops, Orissa University of Agriculture and Technology, Bhubaneswar.

    pdf7p trinhthamhodang3 22-02-2020 13 1   Download

  • The basic assumption in this part. signal estimationis. that them easurements gt consist of a deterministic component Ot ~ the signal ~ and additive white noise et. yt = Ot + et . Adaptive Filtering and Change Detection Fredrik Gustafsson Copyright © 2000 John Wiley & Sons, Ltd ISBNs: 0-471-49287-6 (Hardback); 0-470-84161-3 (Electronic) 58 On-line amroaches For change detection, this will be labeled as a change in the mean model.

    pdf32p doroxon 12-08-2010 81 7   Download

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