scholarly journals Impact of Climate Variability on Crop Yield in Kalahandi, Bolangir, and Koraput Districts of Odisha, India

Climate ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 126 ◽  
Author(s):  
Arpita Panda ◽  
Netrananda Sahu ◽  
Swadhin Behera ◽  
Takahiro Sayama ◽  
Limonlisa Sahu ◽  
...  
Keyword(s):  
Climate Variability ◽  
Crop Yield ◽  
Agricultural Production ◽  
Meteorological Data ◽  
Crop Productivity ◽  
Tropical Regions ◽  
Monsoon Index ◽  
Productivity Data ◽  
Potential Impact ◽  
Agricultural Yield

Most tropical regions in the world are vulnerable to climate variability, given their dependence on rain-fed agricultural production and limited adaptive capacity owing to socio-economic conditions. The Kalahandi, Bolangir, and Koraput districts of the south-western part of Odisha province of India experience an extreme sub-humid tropical climate. Based on the observed changes in the magnitude and distribution of rainfall and temperature, this study evaluates the potential impact of climate variation on agricultural yield and production in these districts. The study is conducted by taking into account meteorological data like rainfall and temperature from 1980 to 2017 and crop productivity data from 1980–81 to 2016–17. Additionally, climate variability indices like Monsoon Index, Oceanic Nino Index, and NINO-3 and NINO 3.4 are used. To analyse the data, various statistical techniques like correlation and multiple linear regression are used. The amount of monsoon rainfall is found to have a significant impact on crop productivity, compared to temperature, in the study area, and as a result the Monsoon Index has a determining impact on crop yield among various indices.

scholarly journals A novel soil quality assessment method for sustainable soil management and enhancing crop productivity in tribal areas of central India

2021 ◽  
Vol 22 (3) ◽  
pp. 315-324
Author(s):  
Rajendiran S. Selladurai ◽  
Mohan Lal Dotaniya ◽  
M Vassanda Coumar ◽  
Samaresh Kundu ◽  
Nishant Kumar Sinha ◽  
...  
Keyword(s):  
Soil Quality ◽  
Crop Yield ◽  
Agricultural Production ◽  
Sustainable Management ◽  
Soil Depth ◽  
Central India ◽  
Crop Productivity ◽  
Soil Parameters ◽  
Available N ◽  
Tribal Areas

Soil quality degradation is a major threat to any agricultural production system. Therefore periodical monitoring of soil quality status is inevitable for sustainable management of agricultural production systems. Though there are various methods available to assess the soil quality, simple and management oriented methods are necessary. The current investigation aimed to evaluate soil quality of tribal areas of central India adopting minimum dataset of 15 soil physical, chemical and biological parameters. A novel scoring technique was followed to score soil quality indicators based on its relation with crop yield, degree of variation and percent deficiency. Relative soil quality index (RSQI) was calculated and was correlated with crop productivity. Most of the soils in the region had poor soil quality (77.2% in Jhabua, 85.4% in Alirajpur and 67.2% in Dhar) with low crop yield. The major constraints of crop production in these areas were low soil organic carbon (<0.5%), available N (<280 kg ha-1), S (<10 mg kg-1), P (<10 kg ha-1), Zn (<0.5 mg kg-1), dehydogenase activity (10 ?g TPF g-1 24 h-1) and soil depth (<1 m). Adopting sustainable management practices could improve soil quality and crop productivity. This new approach is simple and systematic; this principle can be easily adoptable to other locations, and principally focuses on management related and soil parameters that constraint to production and ecological functions.

Climate Variability and peasant agriculture in Kélo in the south of Chad

2020 ◽  
Vol 7 (11) ◽  
pp. 16-30
Author(s):  
Abdoulay Mfewou ◽  
Julius Tata ◽  
Paul Nadji
Keyword(s):  
Climate Variability ◽  
Agricultural Production ◽  
Negative Impact ◽  
Local Development ◽  
Meteorological Data ◽  
Decision Makers ◽  
Annual Rainfall ◽  
Cultivated Plants ◽  
Rainfall Regime ◽  
Important Place

With its Sahelian climate, Chad presents climatic parameters which have a very negative impact on its agricultural productivity. Faced with this natural problem for peasant society, political decision-makers do little to support local adaptation mechanisms. The study in Kélo, southern Chad, (606.9 mm; 28.9 ° C) was carried out for five months. The survey was conducted with 140 heads of households randomly chosen from this area to collect information relating to the damage caused by climatic vagaries on the yields of cultivated plants and the analysis of meteorological data collected at the Kélo station by l 'Chad Institute of Agronomic Research for Development (ITRAD) on climate variability which shows the irregularities of the rains at their beginnings and / or at their ends, the shortening of the rainy season and, a slight rise in temperature. These rainfall irregularities, the main crops are experiencing yield reductions of the order of 70¨% of the average, approximately: 20-25 bags of paddy per hectare against 7-12 bags of paddy for rice, 4-5 bags / ha against 2-3 bags / ha for sorghum and pearl millet, 10-13 bags / ha against 6-9 bags / ha for peanuts, 600-900 kg / ha against 250-600 kg for cotton, etc. . In 2018, rainfall over time shows linear correlations established between cereal and cotton yields on the one hand, and those of annual rainfall on the other. The result also shows that there are no explicit linear relationships between these variables. This shows that, mere knowledge of the rainfall regime is not enough to explain the decline in agricultural production; because poor agricultural production can result from both poor and surplus water conditions and / or poor distribution of rains. It is recorded that food production per capita also decreases; this decline occupies a very important place in all policies of local development projects but weakly applied by rural decision-makers. Consequently, there is recurrent food insecurity, putting the farmer in a dependency on assistantship from outside the region.

scholarly journals Livestock water productivity: feed resourcing, feeding and coupled feed-water resource data bases

2014 ◽  
Vol 54 (10) ◽  
pp. 1584 ◽  
Author(s):  
Michael Blümmel ◽  
Amare Haileslassie ◽  
Anandan Samireddypalle ◽  
Vincent Vadez ◽  
An Notenbaert
Keyword(s):  
Drinking Water ◽  
Water Use ◽  
Crop Yield ◽  
Crop Residues ◽  
Meteorological Data ◽  
Water Productivity ◽  
Crop Productivity ◽  
Feeding Strategies ◽  
Feed Water ◽  
Feed Production

While water requirement for livestock is widely perceived as daily drinking water consumption, ~100 times more water is required for daily feed production than for drinking water. Increasing livestock water productivity can be achieved through increasing the water-use efficiency (WUE) of feed production and utilisation. The current paper briefly reviews water requirements for meat and milk production and the extent of, and reason for, variations therein. Life-cycle analysis (LCA) can reveal these variations in WUE but LCA are not tools that can be employed routinely in designing and implementing water-use-efficient feed resourcing and feeding strategies. This can be achieved by (1) choosing agricultural by-products and crop residues where water applications are partitioned over several products for example grain and straw (or food and fodder) contrary to planted forage production where water and land have to be exclusively allocated to fodder production, (2) select and breed WUE crops and forages and exploit cultivar variations, (3) increase crop productivity by closing yield gaps; and (4) increase per animal productivity to reduce the proportion of feed (and therefore water) allocated for maintenance requirement rather than productive purposes. Feed-mediated WUE of dairy buffalo production on almost completely (94%) by-product-based feeding systems could be reduced from 2350 to 548 L of water per kg of milk by the combined effect of increasing basal ration quality in a total mixed ration, which resulted in increased milk yield of ~30%, and by increasing crop productivity from 1 t (actual crop yield) to 3 t (potential crop yield). Exemplary, multi-dimensional sorghum improvement using staygreen quantitative trait loci (QTL) introgression for concomitant improvement of WUE of grain and stover production and stover fodder quality showed opportunities for further linked improvement in WUE of crop and livestock production. Metabolisable energy (ME) yield under water stress conditions measured in lysimeters, (which measure crop water transpired) ranged QTL dependent from 16.47 to 23.93 MJ ME per m3 H2O. This can be extrapolated to 8.23–11.97 MJ ME per m3 H2O evapotranspired under field conditions. To mainstream improvement in WUE of feed resourcing and feeding, the paper suggests the combination of feed resource databases with crop–soil–meteorological data to calculate how much water is required to produce the feed at the available smallest spatial scale of crop–soil–meteorological data available. A framework is presented of how such a tool can be constructed from secondary datasets on land use, cropping patterns and spatially explicit crop–soil–meteorological datasets.

scholarly journals EVALUATION AND IMPACT OF CLIMATIC VARIABILITY ON GUINEA CORN (SORGHUM BICOLOR) IN SELECTED STATE IN NIGERIA

2020 ◽  
Vol 4 (1) ◽  
pp. 10-14
Author(s):  
Ibrahim Sufiyan ◽  
J.I. Magajia ◽  
A.T. Ogah ◽  
K. Karagama
Keyword(s):  
Climate Variability ◽  
Crop Yield ◽  
Agricultural Production ◽  
Climatic Variability ◽  
Climatic Variable ◽  
Microsoft Excel ◽  
Correlation And Regression Analysis ◽  
The World ◽  
Farm Inputs ◽  
General Wellbeing

Climate variability is one of the serious environmental challenges that have received a lot of public outcry in most parts of the world due to its consequence on agricultural production and other sectors of the national economy and general wellbeing. This study, therefore, sought to examine the effects of climate variability on crops production in the Bakori Local Government Area of Kastina State, Nigeria. Rainfall, temperature and selected crops (Sorghum) data from the farmers living in Bkori and cultivate Guinea corn every year. The data were analyzed using correlation and regression analysis in SPSS and the trend the function of Microsoft Excel.). The study identified positive crop yield while comparing temperature trend sorghum temperature characteristics, the most important climatic variable that influences the yields of Sorghum in Bakori is temperature and rainfall. This has beeachieved by monitoring 100 farmers at different locations in the study area and the use of farm inputs and monitoring of crop-climate relationships to achieve improved crop yield.

scholarly journals Weather Variability and Instability in Agricultural Production: Evidence from Odisha

2021 ◽  
pp. 111-121
Author(s):  
Manoj Kumar Das
Keyword(s):  
Crop Yield ◽  
Agricultural Production ◽  
Crop Yields ◽  
The State ◽  
Extreme Weather Events ◽  
Weather Variability ◽  
Negative Effects ◽  
Agrarian Economy ◽  
Weather Events ◽  
Agricultural Yield

This study focused on exploring the weather variability induced instability in agriculture in the Odisha, India. In this study, growth and instability in ten major crops are analysed, followed by a depiction of weather variability in Odisha and then the association between weather variability and instability in selected crops are analysed using regression analysis. It is observed that weather variability is a major concern in the state of Odisha. In the context of agrarian economy of Odisha, the dimensions, magnitude and erratic nature of the weather variability and extreme weather events have made the situation more complex. Wide variations are observed in the rainfall both across time and space in the state. The long term average rainfall is indicating a declining trend. The weather variability has produced profound negative effects on agricultural production and yields in the state, causing agricultural fluctuations and has been a serious threat to the agrarian economy. Empirical findings lend credence to the negative effects of weather variability on agricultural yield and the regression analyses of yield instability on weather variability have only reaffirmed the same. The negative effects of weather variability on crop yield leads to a clear policy implication of proper provisioning of irrigation and weather variability resistance crop for increasing the crop yields and reduce the crop yield instability.

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

scholarly journals Effect of Row Spacing and Seeding Rate on Russian Thistle (Salsola tragus) in Spring Barley and Spring Wheat

Plants ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 126
Author(s):  
Judit Barroso ◽  
Nicholas G. Genna
Keyword(s):  
Seed Production ◽  
Crop Yield ◽  
Spring Wheat ◽  
Plant Biomass ◽  
Integrated Management ◽  
Spring Barley ◽  
Management Strategies ◽  
Crop Productivity ◽  
Row Spacing ◽  
Seeding Rate

Russian thistle (Salsola tragus L.) is a persistent post-harvest issue in the Pacific Northwest (PNW). Farmers need more integrated management strategies to control it. Russian thistle emergence, mortality, plant biomass, seed production, and crop yield were evaluated in spring wheat and spring barley planted in 18- or 36-cm row spacing and seeded at 73 or 140 kg ha−1 in Pendleton and Moro, Oregon, during 2018 and 2019. Russian thistle emergence was lower and mortality was higher in spring barley than in spring wheat. However, little to no effect of row spacing or seeding rate was observed on Russian thistle emergence or mortality. Russian thistle seed production and plant biomass followed crop productivity; higher crop yield produced higher Russian thistle biomass and seed production and lower crop yield produced lower weed biomass and seed production. Crop yield with Russian thistle pressure was improved in 2018 with 18-cm rows or by seeding at 140 kg ha−1 while no effect was observed in 2019. Increasing seeding rates or planting spring crops in narrow rows may be effective at increasing yield in low rainfall years of the PNW, such as in 2018. No effect may be observed in years with higher rainfall than normal, such as in 2019.

scholarly journals Climate Variability Since 1970 and Farmers’ Observations in Northern Ghana

2016 ◽  
Vol 5 (2) ◽  
pp. 41 ◽  
Author(s):  
Emmanuel Nyadzi
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Water Conservation ◽  
Crop Production ◽  
Meteorological Data ◽  
Northern Region ◽  
Northern Ghana ◽  
Climate Variability And Change ◽  
Urban Centers ◽  
Access To Credit

<p>The study examines how farmers’ observations of climate variability and change correspond with 42 years (1970-2011) meteorological data of temperature and rainfall. It shows how farmers in the Northern Region of Ghana adjust to the changing climate and explore the various obstacles that hinder the implementation of their adaptation strategies. With the help of an extension officer, 200 farmers from 20 communities were randomly selected based on their farming records. Temperatures over the last four decades (1970-2009) increased at a rate of 0.04 (± 0.41) ˚C and 0.3(± 0.13)˚C from 2010-2011 which is consistent to the farmers (82.5%) observations. Rainfall within the districts are characterised by inter-annual and monthly variability. It experienced an increased rate of 0.66 (± 8.30) mm from 1970-2009, which was inconsistent with the farmers (81.5%) observation. It however decreased from 2010-2011 at a huge rate of -22.49 (±15.90) mm which probably was the reason majority of the respondents claim rainfall was decreasing. Only 64.5% of the respondents had adjusted their farming activities because of climate variability and change. They apply fertilizers and pesticides, practice soil and water conservation, and irrigation for communities close to dams. Respondents desire to continue their current adaptation methods but may in the future consider changing crop variety, water-harvesting techniques, change crop production to livestock keeping, and possibly migrate to urban centers. Lack of climate change education, low access to credit and agricultural inputs are some militating factors crippling the farmers’ effort to adapt to climate change.</p>

Sorghum mitigates climate variability and change on crop yield and quality

Planta ◽  
2021 ◽  
Vol 253 (5) ◽  
Author(s):  
Keerthi Chadalavada ◽  
B. D. Ranjitha Kumari ◽  
T. Senthil Kumar
Keyword(s):  
Climate Variability ◽  
Crop Yield ◽  
Climate Variability And Change ◽  
Yield And Quality

scholarly journals Role of Biochar in Improving Sandy Soil Water Retention and Resilience to Drought

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 407
Author(s):  
Ling Li ◽  
Yong-Jiang Zhang ◽  
Abigayl Novak ◽  
Yingchao Yang ◽  
Jinwu Wang
Keyword(s):  
Climate Variability ◽  
Sandy Soil ◽  
Water Retention ◽  
Sandy Soils ◽  
Crop Productivity ◽  
Future Research ◽  
Soil Water Retention ◽  
The World ◽  
Water Holding

In recent years, plants in sandy soils have been impacted by increased climate variability due to weak water holding and temperature buffering capacities of the parent material. The projected impact spreads all over the world, including New England, USA. Many regions of the world may experience an increase in frequency and severity of drought, which can be attributed to an increased variability in precipitation and enhanced water loss due to warming. The overall benefits of biochar in environmental management have been extensively investigated. This review aims to discuss the water holding capacity of biochar from the points of view of fluid mechanics and propose several prioritized future research topics. To understand the impacts of biochar on sandy soils in-depth, sandy soil properties (surface area, pore size, water properties, and characteristics) and how biochar could improve the soil quality as well as plant growth, development, and yield are reviewed. Incorporating biochar into sandy soils could result in a net increase in the surface area, a stronger hydrophobicity at a lower temperature, and an increase in the micropores to maximize gap spaces. The capability of biochar in reducing fertilizer drainage through increasing water retention can improve crop productivity and reduce the nutrient leaching rate in agricultural practices. To advance research in biochar products and address the impacts of increasing climate variability, future research may focus on the role of biochar in enhancing soil water retention, plant water use efficiency, crop resistance to drought, and crop productivity.

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