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Now showing items 1-10 of 12
Basic Biometric Training Course
The course aimed to provide the participants engaged in agricultural research in Afghanistan and India with practical and methodological information on design, and data analysis techniques and tools applied in crop ...
Presentation at Annual Planning Meeting of Afghanistan Projects, April 2016, New Delhi
This presentation highlights the scope and the workplan for Biometrical and Statistical Activities to support research under the Community Livestock and Agricultural Project (CLAP) for Afghanistan for its Sub-component ...
A Bayesian Assessment of Productivity and Risks to Achieve Target Yields from Improved Chickpea and Mung Bean Varieties Using On-Farm Trials in Afghanistan
Legumes are essential to meet nutrition need of growing population in Afghanistan but have low productivity under the farmer practices. With an aim to introduce improved varieties of chickpea (Cicer arietinum) and mung ...
A Bayesian analysis of data from on-farm trials in legumes in Afghanistan
On-farm demonstration (OFD) are conducted to provide a real-time comparison of the recommended technology and the farmer practice in farmer’s field, and are effective and easy way to convince the farmers on the potential ...
Genotype × Environment Interaction and Identification of High Yielding Wheat Genotypes for Afghanistan
Wheat is a key cereal for human consumption in Afghanistan but has low productivity stemmed from various biotic and abiotic stresses and soil factors. To quantify the limitations to yield productivity, two sets of wheat ...
A Bayesian Assessment of Productivity and Risks to Achieve target Yields from Improved Chickpea and Mung Bean Varieties Using On-Farm Trials in Afghanistan
Legumes are essential to meet nutrition need of growing population in Afghanistan but have low productivity under the farmer practices. With an aim to introduce improved varieties of chickpea (Cicer arietinum) and mung ...
Genotype × Environment interactioon in Chickpea (Cicer arietinum L.) under Afghanistan environments and identification of high yielding genotypes
To meet the growing demand of food and protein of Afghan population, winter-sown chickpea (Cicer arietinum L.) is an important contributor but its productivity needs to be increased. Therefore this study was conducted to ...
A Bayesian analysis of data from on-farm trials in legumes in Afghanistan
This presentation discusses Bayesian analysis of on-farm trials on chickpea and mung bean conducted in Afghanistan in 2012 using the priors from 2009-2011. It tabulates the posterior means of mean and standard deviation ...
Biometrical and Statistical Support to the Afghanistan Projects
The presentation refers to the Annual Planning Meeting and Workshop of the Afghanistan Projects
31 March – 5 April 2016 New Delhi. The document presents a brief update on past, current and future activities by project ...
Potential for introducing improved production practices in food legumes with increased food security in Afghanistan
The restricted maximum likelihood method was used to assess performance following the introduction of improved varieties of chickpea and mungbean (an important source of plant protein in Afghanistan) as compared to local ...