Dakshina Murthy KadiyalaInternational Crops Research Institute for Semi Arid Tropics | ICRISAT · RP-MIP
Dakshina Murthy Kadiyala
PhD
About
53
Publications
19,578
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540
Citations
Citations since 2017
Introduction
Additional affiliations
December 2013 - present
Position
- Senior Scientist (Systems Modeling)
Education
May 2008 - May 2012
Publications
Publications (53)
High-resolution reliable rainfall datasets are vital for agricultural, hydrological, and weather-related applications. The accuracy of satellite estimates has a significant effect on simulation models in particular crop simulation models, which are highly sensitive to rainfall amounts, distribution, and intensity. In this study, we evaluated five w...
Given the wide use of the multi-climate model mean (MMM) for impact assessment studies, this work examines the fidelity of Coupled Model Intercomparison Project Phase 5 (CMIP5) in simulating the features of Indian summer monsoons as well as the post-rainy seasons for assessing the possible impacts of climate change on post-rainy season sorghum crop...
Given the wide use of the multi-climate model mean (MMM) for impact assessment studies,
this work examines the fidelity of Coupled Model Intercomparison Project Phase 5 (CMIP5) in
simulating the features of Indian summer monsoons as well as the post-rainy seasons for assessing the
possible impacts of climate change on post-rainy season sorghum crop...
The present investigation was conducted to evaluate the various parameters like genetic variability, nature and magnitude of association and also the direct and indirect effects of different morphological and yield traits on kernel yield in 13 different new maize hybrids at Research farm, ANGRAU-Agricultural Research station, Vijayarai (A.P.) durin...
This study investigated the climate change vulnerability of 6,214 households in the drought-prone districts of Telangana state in India. Principal component analysis (PCA) and cluster analysis were used to group farm households based on their level of vulnerability to climate change and to suggest a portfolio of adaptation strategies. The PCA revea...
The present investigation comprised with 11 set of maize hybrids to evaluate the diversity existed suing correlation, principle
component and cluster analysis. The correlation coefficient analysis revealed that kernel yield (kg/ha) showed significantly
positive correlation with the traits like kernel yield per plot (kg), cob yield per plot (kg), da...
High-resolution reliable rainfall datasets are vital for agricultural, hydrological, and weather-related applications. The accuracy of satellite estimates has a significant effect on simulation models in particular crop simulation models, which are highly sensitive to rainfall amounts, distribution, and intensity. In this study, we evaluated five w...
Crop yield estimation is important to inform logistics management such as the prescription of nutrient inputs, financing, storage and transport, marketing as well as to inform for crop insurance appraisals due to loss incurred by abiotic and biotic stresses. In this study, we used a suite of methods to assess yields at the village level (\ 5 km 2)...
Crop yield estimation is important to inform logistics management such as the prescription of nutrient inputs, financing, storage and transport, marketing as well as to inform for crop insurance appraisals due to loss incurred by abiotic and biotic stresses. In this study, we used a suite of methods to assess yields at the village level (< 5 km2) u...
Identification of suitable variety and date of sowing for kharif rice in Northern Telangana region of Andhra Pradesh
Groundnut is one of the significant sources of oil, food, and fodder in India. It is grown in marginal arid and semi-arid agro-ecosystems with wide yield fluctuations due to spatial variability of rainfall and soil. Climate change, which is predicted to increase the intra- and inter-annual rainfall variability will further constrain the groundnut e...
Climate variability and change pose ever-growing challenges in the semiarid tropics, where majority of the population depend on
climate-dependent activities such as agriculture. This has rendered these countries more vulnerable to climate change–induced
variability. In spite of the uncertainties about anticipated magnitude of climate change on regi...
In this study, we assessed the possible impacts of climate variability and change on growth and performance of maize using multi-climate, multi-crop model approaches built on Agricultural Model Intercomparison and Improvement Project (AgMIP) protocols in five different agro-ecological zones (AEZs) of Embu County in Kenya and under different managem...
This briefing note summarizes the key findings of the
“Scaling up climate-smart agriculture in the Telangana
State” project, carried out by the International Crops
Research Institute for the Semi-Arid Tropics and partners,
between 2016 and 2019. The science based
CSA policy process outlined in this briefing note could easily
be replicated in other...
This article summarizes the results from an analysis conducted to investigate the spatio-temporal variability and trends in the rainfall over Ethiopia over a period of 31 years from 1980 to 2010. The data is mostly observed station data supplemented by bias-corrected AgMERRA climate data. Changes in annual and Belg (March–May) and Kiremt (June to S...
Many Indian rural households depend on farming systems for their livelihood. A large share of them are smallholder farmers with often low and unstable productivity. At the same time, there has been a steady increase in the area under water-intensive crops such as sugarcane and cotton in the recent decades.
Water use efficiency has national and glob...
Many Indian rural households depend on farming systems for their livelihood. A large share of them are smallholder farmers with often low and unstable productivity. At the same time, there has been a steady increase in the area under water-intensive crops such as sugarcane and cotton in the recent decades.
Water use efficiency has national and glob...
This briefing note summarizes the key findings of the
“Scaling up climate-smart agriculture in the Telangana
State” project, carried out by the International Crops
Research Institute for the Semi-Arid Tropics and partners,
between 1st January 2016 and 31st December 2017.
Key messages
■■ Rainfed farming systems in Telangana State, India
are increasi...
Developing cultivars with traits that can enhance and sustain productivity under climate change will be an important climate smart adaptation option. The modified CSM-CERES-Pearl millet model was used to assess yield gains by modifying plant traits determining crop maturity duration, potential yield and tolerance to drought and heat in pearl millet...
This paper addresses the question: how do interventions in natural resource management, agronomy and livestock integration influence whole-farm bio-economic outcomes. The proposed interventions are modelled for farming systems in Telangana considering labour supply, consumption and market prices using the integrated analysis tool (IAT). The study i...
This study has used an integrated modelling framework by combining process-based crop system model (DSSAT) with the Trade-offs Analysis model for Multi-Dimensional Impact Assessment (TOA-MD) to find the impacts of climate smart adaptation packages on farm productivity, net returns and poverty rates in the Kurnool district of Andhra Pradesh. Based o...
The impact of future climate change on the chickpea productivity was studied using the sequence analysis tool of DSSAT V 4.5 to simulate fallow-chickpea rotation at four locations viz Anantapur, Kurnool, Kadapa and Prakasam of Andhra Pradesh State. The results indicated that as compared to baseline climate, the climate change to be anticipated by 2...
The impact of future climate change on the chickpea productivity was studied using the sequence analysis tool of DSSAT V 4.5 to simulate fallow-chickpea rotation at four locations viz Anantapur, Kurnool, Kadapa and Prakasam of Andhra Pradesh State. The results indicated that as compared to baseline climate, the climate change to be anticipated by 2...
The semi-arid tropical (SAT) regions of India are suffering from low productivity which may be further aggravated by anticipated climate change. The present study analyzes the spatial variability of climate change impacts on groundnut yields in the Anantapur district of India and examines the relative contribution of adaptation strategies. For this...
Application of crop simulation models at larger spatial scales is very essential to develop best management practices in order to maximize yields and reduce environmental pollution. In the present study, spatial analysis of long-term simulations were carried out with DSSAT spatial analysis tool linked with GIS to estimate irrigation requirements an...
Climate risk assessment in cropping is generally undertaken in a top-down approach using climate records while critical farmer experience is often not accounted for. In the present study, set in south India, farmer experience of climate risk is integrated in a bottom-up participatory approach with climate data analysis. Crop calendars are used as a...
Soil Data • The soil properties required for crop yield modeling were derived using Anantapur soil map developed by the National Bureau of Soil Science and Land use Planning (NBSS&LUP), Nagpur • Soil physical and chemical properties such as texture, hydraulic parameters, bulk density, organic matter and available N were estimated for each location...
A field experiment was conducted on rice (Oryza sativa L.) for three consecutive rabi seasons of 2007, 2008 and 2009 on Godavari alluvials (Vertic chromusters) at Andhra Pradesh Rice Research Institute, Maruteru, with an objective to revise the existing fertilizer doses of major nutrients for rabi rice in Krishna Godavari delta regions of Andhra Pr...
The sustainability of traditional rice (Oryza sativa L.) cultivation in many Asian countries is being questioned due to severe water shortage conditions, envisaging the need for development of water-saving rice production technologies. A 2-year-field study on a typic Haplustalf soil was conducted to compare traditional transplanted rice–maize syste...
South Asia encompasses a wide and highly varied geographic region, and includes climate zones ranging from the mountainous Himalayan territory to the tropical low-land and coastal zones along alluvial floodplains. The region's climate is dominated by a monsoonal circulation that heralds the arrival of seasonal rainfall, upon which much of the regio...
In several countries, the systems for forecasting weather are being operated to deal with weather and its related factors affecting agricultural production. India meteorological department (IMD) is providing several types of weather forecasts. One of the forecast service is medium range forecast (MRF). As a part of MRF, the expected values of rain...
Field experiments were conducted on rice, Oryza sativa L for three consecutive Kharif seasons viz 2006, 2007 and 2008 on Godavari alluvials (Vertic chromusters) at Andhra Pradesh Rice Research Institute, Maruteru with an objective to revise the existing fertilizer doses of major nutrients for Kharif rice in Krishna Godavari delta regions of AP. The...
Field experiments were conducted on rice (Oryza sativa L.) consecutively for four rabi seasons of 2006,
2007, 2008 and 2009 on Godavari alluvia’s at Maruteru, Andhra Pradesh with ten treatments with four
replications under RBD. Application of site specific nutrient management package i.e. NPK B @ 100-
90-90-5 kg/ha resulted the highest number of ti...
This study aims to assess the impact of climate change on agricultural production in southern India and its implications for farm household income and food security. The study team applies standardized approaches known as ‘AgMIP Protocols’ to integrate the climate, crop and economic models and assess.
Farm households in Tamil Nadu, Andhra Pradesh...
Limited water availability is a major constraint for cultivation of rice (Oryza sativa L.) in the traditional flooded systems, particularly in the semiarid regions of the world. Aerobic rice cultivation provides feasible alternative to traditional rice production in these regions, allowing significant water savings. Field experiments were conducted...
A field experiment was conducted in Hyderabad, India, to compare
water and nitrogen (N) use efficiency of rice-maize systems under
traditional transplanted vs. water saving aerobic, using 15N through field
experimentation and simulation modeling. Results from the field
experiments showed that irrigating aerobic rice at soil moisture tension
of 20 k...
Projects
Projects (5)
The aim of this activity is to strengthen the capacities of the scientists, extension agents with our national partners (CRIDA, CAZRI, ANGRAU and PJTSAU) and CG centers on systems modelling tools which integrate cropping system, livestock and value chains ranging from household to landscape/region level. Specific focus of this project would be on building capacity to develop modelling platforms (household, crop and livestock) to better understand temporal and spatial dynamics and therefore risk.
• Develop and parameterize cases for field piloting systems modelling based decision tools that combine diverse sources of information. Pilot systems modelling based decision tools to help farmers and stakeholders make informed decisions at least in two locations in AP and TS. (This will be important not only for promoting systems tools but also for validating these and learning from the stakeholders’ engagement).
• Undertake capacity building programs on systems tools and its application in the real world for the scientists from NARS and CG centers including ICRISAT.
