File Name : Western Central Africa Title : Marksim Simulated Weather Data for WCA Production Date : 23/02/2015 Origin of Sources : http://www.ccafs-climate.org/pattern_scaling/ Data Sources : Marksim Data Owner : Dr.Vincent Vadez Data collector Dr.Vincent Vadez Type of Data : Weather Data Data Description : Based on the observed data for the given stations, one-degree … Continue reading Marksim Simulated Weather Data for WCA
File Name : Marksim Simulated Weather Data for India Title : Marksim Simulated Weather Data for India Production Date : 16/1/2014 Origin of Sources : http://www.ccafs-climate.org/pattern_scaling/ Data Sources : Marksim Data Owner : Dr.Vincent Vadez Data Collector Dharani Suresh Type of Data : Weather Data Data Description : Based on the observed data for the … Continue reading Marksim Simulated Weather Data for INDIA
File Name : Eastren South Africa Title : Marksim Simulated Weather Data for ESA Production Date : 14/07/2014 Origin of Sources : http://www.ccafs-climate.org/pattern_scaling/ Data Sources : Marksim Data Owner : Dr.Vincent Vadez Data Collector Dr.Vincent Vadez Type of Data : Weather Data Data Description : Based on the observed data for the given stations, one-degree … Continue reading Marksim Simulated Weather Data for ESA
Shifting from paper to digital recording saves a lot of operational time in experimental work. Over the last 4-5 years, Ms Rekha Baddam, Scientific Officer in the Crop Physiology Lab, has tested different options and developed a fully operational system where barcoding and digital recording of data has replaced papers and pencils. Data entry is … Continue reading Writing Errors and Data Entry Delays are Things of the Past!
Protocols and Data Analysis Here the idea for each of the item is to give a concise and precise description of the method and the different steps used. It may involve an hyperlinking to a paper where the protocol is used and described well. It will also simply describe the equipment that are needed (may … Continue reading Protocols and Data Analysis
Leasy scan-high throughput phenotyping for canopy size and structure components: derivation of algorithms for Sorghum plays an important role in ensuring food and fodder security for millions of rural families in the semi-arid tropics. Breeding for improved varieties for water-limited environments has been slow, especially in developing countries, mostly because of the highly unpredictable environments … Continue reading DST-Early Career Research Award- Derivation of algorithms for automated and accelerated phenotyping using high throughput phenotyping platform-Leasy scan, to understand and enhance environmental adaptations in sorghum
Mungbean [green gram; Vigna radiata (L.) R. Wilczek] is a nutritive legume crop that fixes 58–109 kg/ha atmospheric nitrogen symbiotically. India is the largest producer (65% of world acreage) and consumer (54% of world production) of mungbean. The crop is cultivated over a wide range of environmental conditions such as on marginal soils with low … Continue reading DST-SERB (N-PDF): Adaptability of mungbean [Vigna radiata (L.) R. Wilczek] varieties for drought environments (2018-20)
CH Amrutha Kumar Field Assistant Main Area of Work: Monitoring Field Experiments, Data Capturing, Glass House Operations, and Rain Out Shelter Experiments.
Chickpea (Cicer arietinum L.) is the second most important food legume worldwide. Green seeded chickpea and vegetable chickpea is a plant-based protein diet having good nutritive value. Higher nutrient density for carotenoids such as beta-carotene that are observed in the green-seeded chickpea could contribute to improving the nutritional status of consumers.
