this for escaping w3 validation warning

Marksim Simulated Weather Data for WCA

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

Marksim Simulated Weather Data for ESA

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

Protocols and Data Analysis

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

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

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

DST-SERB (N-PDF): Adaptability of mungbean [Vigna radiata (L.) R. Wilczek] varieties for drought environments (2018-20)

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 – Core of GEMS

CH Amrutha Kumar Field Assistant Main Area of Work: Monitoring Field Experiments, Data Capturing, Glass House Operations, and Rain Out Shelter Experiments.  

Feedback