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Article ; Online: Spatial estimation and climate projected change of cover-management factor in semi-arid region of India

PUSHPANJALI PUSHPANJALI / JOSILY SAMUEL / RAMA RAO C A / RAJU B M K / KARTHIKEYAN K

The Indian Journal of Agricultural Sciences, Vol 91, Iss

2022 Volume 4

Abstract: Soil erosion and its future projection play an important role in the changing climatic scenario. An attempt has been made to establish a relationship between NDVI and cover-management factor (C-factor) which varies with area and crop. IRS LISS III data ... ...

Abstract	Soil erosion and its future projection play an important role in the changing climatic scenario. An attempt has been made to establish a relationship between NDVI and cover-management factor (C-factor) which varies with area and crop. IRS LISS III data with 23.5 m resolution is used to derive precisely NDVI and correlated with C-factor, the derived regression equation shows a good relationship between NDVI and C-factor value. An approach was made to use this area specific equation for getting C- factor for the whole Mahabubnagar district, Telangana from 2013 imagery data and the study was conducted in 2017. For future scenarios study, a relationship between rainfall, temperature, and NDVI of the whole district was derived. The NDVI value of the study area varies between 0.63 and 0.046. Based on the regression model C-factor for the future scenarios using available CMIP5 (Coupled Model Intercomparison Project-5) has been mapped for the whole district. Using the NDVI map, the C-factor map of the area was prepared in ArcGIS 10.0 software. The spatial distribution shows that the C-factor values varied between 0.52-0.86. On an average C- factor for 2020s, 2050s and in 2080s were 0.53, 0.76, and 0.77 respectively. The predicted C- factor values were then brought under the GIS environment and C- factor prediction maps were generated.
Keywords	C-factor ; Climate change ; GIS ; RUSLE ; Semi-arid tropics ; Soil erosion ; Agriculture ; S
Subject code	306 ; 910
Language	English
Publishing date	2022-10-01T00:00:00Z
Publisher	Indian Council of Agricultural Research
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Do rainfed production systems have lower environmental impact over irrigated production systems?: On -farm mitigation strategies.

Pratibha, G / Srinivas, I / Raju, B M K / Suvana, S / Rao, K V / Rao, M Srinivasa / Jha, Anamika / Anna, Shivakumar / Prabhakar, M / Singh, V K / Islam, Adlul / Singh, Rajbir / Choudhary, S K

The Science of the total environment

2024 Volume 917, Page(s) 170190

Abstract: The intensive agriculture practices improved the crop productivity but escalated energy inputs (EI) and carbon foot print (CF) which contributes to global warming. Hence designing productive, profitable crop management practices under different ... ...

Abstract	The intensive agriculture practices improved the crop productivity but escalated energy inputs (EI) and carbon foot print (CF) which contributes to global warming. Hence designing productive, profitable crop management practices under different production systems with low environmental impact (EI and CF) is the need of the hour. To identify the practices, quantification of baseline emissions and the major sources of emissions are required. Indian agriculture has diversified crops and production systems but there is dearth of information on both EI and CF of these production systems and crops. Hence the present study was an attempt to find hot spots and identify suitable strategies with high productivity, energy use efficiency (EUE) and carbon use efficiency (CUE). Energy and carbon balance of castor, cotton, chickpea, groundnut, maize, rice (both rainfed and irrigated), wheat, sugarcane (only irrigated), pigeon pea, soybean, sorghum, pearl millet (only rainfed) in different production systems was assessed. Field specific data on different crop management practices as well as grain and biomass yields were considered. Rainfed production systems had lower EI and CF than irrigated system. The nonrenewable sources of energy like fertilizer (64 %), irrigation (78 %), diesel fuel (75 %) and electricity (67 %) are the major source of energy input. Rainfed crops recorded higher CUE over irrigated condition. Adoption of technologies like efficient irrigation strategies (micro irrigation), enhancing fertilizer use efficiency (site specific nutrient management or slow release fertilizer), conservation agriculture (conservation or reduced tillage) rice cultivation methods (SRI or Direct seeded rice) were the mitigation strategies. These results will help policy makers and stake holders in adoption of suitable strategies for sustainable intensification.
Language	English
Publishing date	2024-01-24
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2024.170190
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Article: Soil bacterial community structure and functioning in a long-term conservation agriculture experiment under semi-arid rainfed production system.

Pratibha, G / Manjunath, M / Raju, B M K / Srinivas, I / Rao, K V / Shanker, Arun K / Prasad, J V N S / Rao, M Srinivasa / Kundu, Sumanta / Indoria, A K / Kumar, Upendra / Rao, K Srinivasa / Anna, Shivakumar / Rao, Ch Srinivasa / Singh, V K / Biswas, A K / Chaudhari, S K

Frontiers in microbiology

2023 Volume 14, Page(s) 1102682

Abstract: Soil microbial communities are important drivers of biogeochemical cycling of nutrients, organic matter decomposition, soil organic carbon, and Greenhouse gas emissions (GHGs: ... ...

Abstract	Soil microbial communities are important drivers of biogeochemical cycling of nutrients, organic matter decomposition, soil organic carbon, and Greenhouse gas emissions (GHGs: CO
Language	English
Publishing date	2023-06-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2587354-4
ISSN	1664-302X
ISSN	1664-302X
DOI	10.3389/fmicb.2023.1102682
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Article ; Online: Pest scenario of Helicoverpa armigera (Hub.) on pigeonpea during future climate change periods under RCP based projections in India.

Srinivasa Rao, M / Rama Rao, C A / Raju, B M K / Subba Rao, A V M / Gayatri, D L A / Islam, Adlul / Prasad, T V / Navya, M / Srinivas, K / Pratibha, G / Srinivas, I / Prabhakar, M / Yadav, S K / Bhaskar, S / Singh, V K / Chaudhari, S K

Scientific reports

2023 Volume 13, Issue 1, Page(s) 6788

Abstract: Gram pod borer, Helicoverpa armigera (Hub.) is the major insect pest of pigeonpea and prediction of number of generations (no. of gen.) and generation time (gen. time) using growing degree days (GDD) approach during three future climate change periods ... ...

Abstract	Gram pod borer, Helicoverpa armigera (Hub.) is the major insect pest of pigeonpea and prediction of number of generations (no. of gen.) and generation time (gen. time) using growing degree days (GDD) approach during three future climate change periods viz., Near (NP), Distant (DP) and Far Distant (FDP) periods at eleven major pigeonpea growing locations of India was attempted. Multi-model ensemble of Maximum (Tmax) and Minimum (Tmin) temperature data of four Representative Concentration Pathways viz., RCP 2.6, 4.5, 6.0 and 8.5 of Coupled Model Inter comparison Project 5 (CMIP5) models was adopted here. The increase in projected Tmax and Tmin are significant during 3 climate change periods (CCPs) viz., the NP, DP and FDP over base line (BL) period under four RCP scenarios at all locations and would be higher (4.7-5.1 °C) in RCP 8.5 and in FDP. More number of annual (10-17) and seasonal (5-8) gens. are expected to occur with greater percent increase in FDP (8 to 38%) over base line followed by DP (7 to 22%) and NP (5to 10%) periods with shortened annual gen. time (4 to 27%) across 4 RCPs. The reduction of crop duration was substantial in short, medium and long duration pigeonpeas at all locations across 4 RCPs and 3 CCPs. The seasonal no.of gen. is expected to increase (5 to 35%) with shortened gen. time (4 to 26%) even with reduced crop duration across DP and FDP climate periods of 6.0 and 8.5 RCPs in LD pigeonpea. More no. of gen. of H. armigera with reduced gen. time are expected to occur at Ludhiana, Coimbatore, Mohanpur, Warangal and Akola locations over BL period in 4 RCPs when normal duration of pigeonpeas is considered. Geographical location (66 to 72%), climate period (11 to 19%), RCPs (5-7%) and their interaction (0.04-1%) is vital and together explained more than 90% of the total variation in future pest scenario. The findings indicate that the incidence of H. armigera would be higher on pigeonpea during ensuing CCPs in India under global warming context.
MeSH term(s)	Animals ; Climate Change ; Moths ; Global Warming ; Temperature ; India
Language	English
Publishing date	2023-04-26
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-32188-1
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Article ; Online: Evaluating area-specific adaptation strategies for rainfed maize under future climates of India.

Subba Rao, A V M / Sarath Chandran, M A / Bal, Santanu Kumar / Pramod, V P / Sandeep, V M / Manikandan, N / Raju, B M K / Prabhakar, M / Islam, Adlul / Naresh Kumar, S / Singh, V K

The Science of the total environment

2022 Volume 836, Page(s) 155511

Abstract: This study investigates the spatio-temporal changes in maize yield under projected climate and identified the potential adaptation measures to reduce the negative impact. Future climate data derived from 30 general circulation models were used to assess ... ...

Abstract	This study investigates the spatio-temporal changes in maize yield under projected climate and identified the potential adaptation measures to reduce the negative impact. Future climate data derived from 30 general circulation models were used to assess the impact of future climate on yield in 16 major maize growing districts of India. DSSAT model was used to simulate maize yield and evaluate adaptation strategies during mid (2040-69) and end-centuries (2070-99) under RCP 4.5 and 8.5. Genetic coefficients were calibrated and validated for each of the study locations. The projected climate indicated a substantial increase in mean seasonal maximum (0.9-6.0 °C) and minimum temperatures (1.1-6.1 °C) in the future (the range denotes the lowest and highest change during all the four future scenarios). Without adaptation strategies, climate change could reduce maize yield in the range of 16% (Tumkur) to 46% (Jalandhar) under RCP 4.5 and 21% (Tumkur) to 80% (Jalandhar) under RCP 8.5. Only at Dharwad, the yield could remain slightly higher or the same compared to the baseline period (1980-2009). Six adaptation strategies were evaluated (delayed sowing, increase in fertilizer dose, supplemental irrigation, and their combinations) in which a combination of those was found to be effective in majority of the districts. District-specific adaptation strategies were identified for each of the future scenarios. The findings of this study will enable in planning adaptation strategies to minimize the negative impact of projected climate in major maize growing districts of India.
MeSH term(s)	Adaptation, Physiological ; Agriculture ; Climate Change ; Crops, Agricultural ; Zea mays
Language	English
Publishing date	2022-04-28
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.155511
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Jg. 1995 - 2021: Lesesall (1.OG)
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Article: Evaluating area-specific adaptation strategies for rainfed maize under future climates of India

Subba Rao, A.V.M. / Sarath Chandran, M.A. / Bal, Santanu Kumar / Pramod, V.P. / Sandeep, V.M. / Manikandan, N. / Raju, B.M.K. / Prabhakar, M. / Islam, Adlul / Naresh Kumar, S. / Singh, V.K.

Science of the total environment. 2022 Aug. 25, v. 836

2022

Abstract	This study investigates the spatio-temporal changes in maize yield under projected climate and identified the potential adaptation measures to reduce the negative impact. Future climate data derived from 30 general circulation models were used to assess the impact of future climate on yield in 16 major maize growing districts of India. DSSAT model was used to simulate maize yield and evaluate adaptation strategies during mid (2040-69) and end-centuries (2070-99) under RCP 4.5 and 8.5. Genetic coefficients were calibrated and validated for each of the study locations. The projected climate indicated a substantial increase in mean seasonal maximum (0.9–6.0 °C) and minimum temperatures (1.1–6.1 °C) in the future (the range denotes the lowest and highest change during all the four future scenarios). Without adaptation strategies, climate change could reduce maize yield in the range of 16% (Tumkur) to 46% (Jalandhar) under RCP 4.5 and 21% (Tumkur) to 80% (Jalandhar) under RCP 8.5. Only at Dharwad, the yield could remain slightly higher or the same compared to the baseline period (1980–2009). Six adaptation strategies were evaluated (delayed sowing, increase in fertilizer dose, supplemental irrigation, and their combinations) in which a combination of those was found to be effective in majority of the districts. District-specific adaptation strategies were identified for each of the future scenarios. The findings of this study will enable in planning adaptation strategies to minimize the negative impact of projected climate in major maize growing districts of India.
Keywords	climate ; climate change ; corn ; environment ; fertilizer rates ; irrigation ; meteorological data ; India
Language	English
Dates of publication	2022-0825
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.155511
Database	NAL-Catalogue (AGRICOLA)

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Article: Genotype × year interaction of pod and seed mass and stability of Pongamia pinnata families in a semi-arid region

Rao, G. R / Sarkar, B / Raju, B. M. K / Sathi Reddy, P / Rao, A. V. M. Subba / Rebecca, Jessie

Journal of forestry research. 2020 Aug., v. 31, no. 4

2020

Abstract: Sixteen pongamia families were evaluated in a field experiment for eight consecutive years in dryland conditions to identify stable, high-yielding families. The trial was conducted in a randomized complete block design with three replications. Each ... ...

Abstract	Sixteen pongamia families were evaluated in a field experiment for eight consecutive years in dryland conditions to identify stable, high-yielding families. The trial was conducted in a randomized complete block design with three replications. Each family, consisting of nine trees per replication, was planted at a spacing of 3 m × 3 m. Yield stability was analyzed using (1) Eberhart and Russel’s regression coefficient (βᵢ) and deviation from regression ([Formula: see text]), (2) Wrike’s ecovalence ([Formula: see text]); (3) Shukla stability variance ([Formula: see text]); and (4) Piepho and Lotito’s stability index ([Formula: see text]). Families were also analyzed for adaptability and stability using AMMI and GGE biplots graphical methods. The study revealed significant variances due to family and family × year interaction for pod and seed yield. Families performed differently and ranked differently across years. The performance of families was influenced by both genetic factor and environmental conditions in different years. Among families tested, TNMP20, Acc14, TNMP14 and Acc30 were high yielders for pods, and Acc14, Acc30, TNMP6, RAK19 and TNMP14 were high for seed yield. According to the Eberhart and Russell model, Acc30, TNMP14 and TNMP3 were stable across years. In the graphical view of family × year interaction based on AMMI methods, TNMP3, TNMP4 and TNMP14 had greater stability with moderate seed yield, and Acc14 and Acc30 had moderate stability with high seed yield. On the other hand, GGE biplots revealed Acc14, Acc30 and TNMP14 as high yielders with moderate stability. AMMI and GGE biplots were able to capture nonlinear parts of the family × year interaction that were not be captured by the Eberhart and Russel model while also identifying stable families. Based on different methodologies, Acc14, Acc30 and TNMP14 were identified as high yielding and stable families for promoting pongamia cultivation as a biofuel crop for semi-arid regions.
Keywords	Millettia pinnata ; arid lands ; energy crops ; environmental factors ; field experimentation ; genetic factors ; genotype ; models ; pods ; regression analysis ; seed weight ; seed yield ; semiarid zones ; trees ; variance
Language	English
Dates of publication	2020-08
Size	p. 1333-1346.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	2299615-1
ISSN	1993-0607 ; 1007-662X
ISSN (online)	1993-0607
ISSN	1007-662X
DOI	10.1007/s11676-019-00943-8
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Sensitivity of Livestock Production to Climatic Variability Under Indian Drylands and Future Perspective

Kumar, S / Raju, B M K / Ramarao, C A / Ramilan, T

2015

Abstract: The livestock production system is considered equally sensitive to climate change as that of core agriculture system and at the same time livestock itself is also contributing to the phenomenon. The present paper attempts to analyze the sensitivity of ... ...

Abstract	The livestock production system is considered equally sensitive to climate change as that of core agriculture system and at the same time livestock itself is also contributing to the phenomenon. The present paper attempts to analyze the sensitivity of livestock productivity in rainfed regions to climatic variability, significance of climate change with respect to Indian livestock and mitigation options and leverage points in such a scenario. The sensitively of livestock productivity was examined by using district level data of milk productivity of cow as well as buffalo for the year 1992 and 1997 for 100 districts which was regressed on important weather variables. The analysis shows that weather variables like rainfall and temperature do significantly influence the milk productivity of animals in rainfed regions. Increased climatic variability due to changing climate is likely to negatively influence the livestock productivity. Based on analysis and stakeholders consultation the paper suggests appropriate adaptation strategies particularly focusing on mitigating feed scarcity situations arising due to climatic variability.
Keywords	Agriculture-Farming ; Production ; Technology ; Economics ; Climate Change
Subject code	333
Language	English
Publisher	Enviro Research Publishers
Publishing country	in
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Sensitivity of Livestock Production to Climatic Variability Under Indian Drylands and Future Perspective

Kumar, S / Raju, B M K / Ramarao, C A / Ramilan, T

2015

Abstract	The livestock production system is considered equally sensitive to climate change as that of core agriculture system and at the same time livestock itself is also contributing to the phenomenon. The present paper attempts to analyze the sensitivity of livestock productivity in rainfed regions to climatic variability, significance of climate change with respect to Indian livestock and mitigation options and leverage points in such a scenario. The sensitively of livestock productivity was examined by using district level data of milk productivity of cow as well as buffalo for the year 1992 and 1997 for 100 districts which was regressed on important weather variables. The analysis shows that weather variables like rainfall and temperature do significantly influence the milk productivity of animals in rainfed regions. Increased climatic variability due to changing climate is likely to negatively influence the livestock productivity. Based on analysis and stakeholders consultation the paper suggests appropriate adaptation strategies particularly focusing on mitigating feed scarcity situations arising due to climatic variability.
Keywords	Agriculture-Farming ; Production ; Technology ; Economics ; Climate Change
Subject code	333
Language	English
Publisher	Enviro Research Publishers
Publishing country	in
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Effect of Climate on Productivity of Pigeonpea and Cotton in Andhra Pradesh – A Panel Data Regression

Raju, B.M.K / Rao, C.A. Rama / Rao, V.U.M / Rao, M. Srinivasa / Maheswari, M

Indian journal of dryland agricultural research and development. 2014 June, v. 29, no. 1

2014

Abstract: This paper was attempted to examine the effect of temperature and rainfall on the productivity of two important crops-pigeonpea and cotton in Andhra Pradesh following panel data regression approach. Using the district level time series data, the yield of ...

Abstract	This paper was attempted to examine the effect of temperature and rainfall on the productivity of two important crops-pigeonpea and cotton in Andhra Pradesh following panel data regression approach. Using the district level time series data, the yield of each of these two crops was regressed on maximum temperature during kharif, rainfall quantity and number of rainy days for the period 1990–2002, in a one-way and two-way fixed effect models of panel regression using Least Squares Dummy Variable Method. Comparison of district specific effects revealed statistically significant differences between districts in case of pigeonpea. The response coefficients for rainfall and number of rainy days were found significant at 5 per cent level. A positive impact on yield of pigeonpea at the rate of 1.9 kg/ha was observed for a 10 mm rise in rainfall. The number of rainy days was found to have a significant negative relationship with yield. In case of cotton, half of the major cotton growing districts differed significantly in mean yield levels. A significant reduction in yield at a rate of 13 kg/ha for every 1°C rise in the maximum temperature was observed. The yield of cotton was found to increase by 0.7 kg/ha for every 10 mm increase in the rainfall.
Keywords	climate ; cotton ; crop yield ; crops ; least squares ; models ; pigeon peas ; rain ; temperature ; time series analysis ; India
Language	English
Dates of publication	2014-06
Size	p. 6-10.
Publishing place	The Indian Society of Dryland Agriculture
Document type	Article
ISSN	2231-6701
DOI	10.5958/2231-6701.2014.01187.7
Database	NAL-Catalogue (AGRICOLA)

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