Climate effects on crop yields in the Northeast Farming Region of China during 1961–2010

2016 ◽  
Vol 154 (7) ◽  
pp. 1190-1208 ◽  
Author(s):  
X. G. YIN ◽  
J. E. OLESEN ◽  
M. WANG ◽  
I. ÖZTÜRK ◽  
F. CHEN
Keyword(s):  
Solar Radiation ◽  
Crop Yield ◽  
Growth Phase ◽  
Minimum Temperature ◽  
Rice Yield ◽  
Wheat Yield ◽  
Maize Yield ◽  
Climatic Variables ◽  
Growth Phases ◽  
Flowering Phase

SUMMARYCrop production in the Northeast Farming Region of China (NFR) is affected considerably by variation in climatic conditions. Data on crop yield and weather conditions from a number of agro-meteorological stations in NFR were used in a mixed linear model to evaluate the impacts of climatic variables on the yield of maize (Zea mays L.), rice (Oryza sativa L.), soybean (Glycine max L. Merr.) and spring wheat (Triticum aestivum L.) in different crop growth phases. The crop growing season was divided into three growth phases based on the average crop phenological dates from records covering 1981 and 2010 at each station, comprising pre-flowering (from sowing to just prior to flowering), flowering (20 days around flowering) and post-flowering (10 days after flowering to maturity). The climatic variables were mean minimum temperature, thermal time (which is used to indicate changes in the length of growth cycles), average daily solar radiation, accumulated precipitation, aridity index (which is used to assess drought stress) and heat degree-days index (HDD) (which is used to indicate heat stress) were calculated for each growth phase and year. Over the 1961–2010 period, the minimum temperature increased significantly in each crop growth phase, the thermal time increased significantly in the pre-flowering phase of each crop and in the post-flowering phases of maize, rice and soybean, and HDD increased significantly in the pre-flowering phase of soybean and wheat. Average solar radiation decreased significantly in the pre-flowering phase of all four crops and in the flowering phase of soybean and wheat. Precipitation increased during the pre-flowering phase leading to less aridity, whereas reduced precipitation in the flowering and post-flowering phases enhanced aridity. Statistical analyses indicated that higher minimum temperature was beneficial for maize, rice and soybean yields, whereas increased temperature reduced wheat yield. Higher solar radiation in the pre-flowering phase was beneficial for maize yield, in the post-flowering phase for wheat yield, whereas higher solar radiation in the flowering phase reduced rice yield. Increased aridity in the pre-flowering and flowering phases severely reduced maize yield, higher aridity in the flowering and post-flowering phases reduced rice yield, and aridity in all growth phases reduced soybean and wheat yields. Higher HDD in all growth phases reduced maize and soybean yield and HDD in the pre-flowering phase reduced rice yield. Such effects suggest that projected future climate change may have marked effects on crop yield through effects of several climatic variables, calling for adaptation measures such as breeding and changes in crop, soil and agricultural water management.

scholarly journals Áreas potenciales para el cultivo de girasol en condiciones de temporal en Guanajuato, México

2018 ◽  
Vol 29 (2) ◽  
pp. 305 ◽  
Author(s):  
Enrique López-Rocha ◽  
Ana Isabel Mireles-Arriga ◽  
Jesús Hernández-Ruíz ◽  
Jorge Eric Ruiz-Nieto ◽  
Armado Rucoba-Garcia
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Crop Yield ◽  
Minimum Temperature ◽  
Potential Distribution ◽  
Moisture Regime ◽  
Average Temperature ◽  
Bioclimatic Variables ◽  
Rainfed Conditions ◽  
Sunflower Crop

In Mexico, in the last five years, there was a 189.50 to 13 219.84 hectares increase in sunflower crop surface under rainfed conditions. Particularly, in 2016, in the state of Guanajuato, approximately 450 hectares were planted. Cultivation under rainfed conditions requires planning including bioclimatic variables to reach the optimal crop yield and development. This work aims to identify bioclimatic potential areas for sunflower cultivation under rainfed conditions in Guanajuato. In autumn-winter 2016, 45 sunflower fields (distributed in eleven towns) were monitored and stratified. Crop yield associated with maximum and minimum temperature, relative humidity, solar radiation, precipitation, and evapotranspiration were recorded. The data from fields with a higher yield than 1.89 t/ha were used to generate polygons with a saturation of 56 abundance points, to calculate the potential distribution using the Maxent software, with 23 bioclimatic variables as predictors. The variables with the highest contribution percentage to the potential distribution were: average temperature of the driest quarter, altitude, moisture regime, and edaphic profile. The potential areas for sunflower cultivation had a surface of 317 028 hectares where the predominant climate is sub-humid warm, the annual mean temperature is 20 °C, the annual mean rainfall is 600 to 800 mm, and the altitude ranges from 500 to 1500 masl.

scholarly journals Estimating the Effect of Climatic Variables and Crop Area on Maize Yield in Ghana

2012 ◽  
Vol 3 (9) ◽  
pp. 313-321
Author(s):  
Henry De-Graft Acquah
Keyword(s):  
Climate Change ◽  
Linear Regression ◽  
Regression Model ◽  
Crop Yield ◽  
Crop Production ◽  
Growing Season ◽  
Maize Yield ◽  
Climatic Variables ◽  
Non Linear ◽  
Crop Area

Climate change tends to have negative effects on crop yield through its influence on crop production. Understanding the relationship between climatic variables, crop area and crop yield will facilitate development of appropriate policies to cope with climate change. This study therefore examines the effects of climatic variables and crop area on maize yield in Ghana based on regression model using historical data (1970-2010). Linear and Non-linear regression model specifications of the production function were employed in the study. The study found that growing season temperature trend is significantly increasing by 0.03oC yearly whereas growing season rainfall trend is insignificantly increasing by 0.25mm on yearly basis. It was also observed that rainfall is becoming increasingly unpredictable with poor distributions throughout the season. Results from the linear and non-linear regression models suggest that rainfall increase and crop area expansion have a positive and significant influence on mean maize yield. However, temperature increase will adversely affect mean maize yield. In conclusion, the study found that there exists not only a linear but also a non-linear relationship between climatic variables and maize yield.

scholarly journals Effect of Weather Years and Climatic Parameters on Yield of Maize Varieties under Sub-tropical Condition of Nepal

1970 ◽  
Vol 11 ◽  
pp. 17-24
Author(s):  
Tej Narayan Bhusal ◽  
Jagdish Timsina
Keyword(s):  
Solar Radiation ◽  
Minimum Temperature ◽  
New Technology ◽  
Co2 Concentration ◽  
Maize Yield ◽  
Climatic Parameters ◽  
Potential Yield ◽  
Tropical Condition ◽  
Maize Varieties ◽  
Climatic Scenarios

Recent trends of climate change have raised serious concerns about the food production not only in regional levels but locally and globally. The well calibrated and validated Crop Simulation Model (CSM)-Crop Environment Resource Synthesis (CERES)-Maize (v 4.0) model and secondary crop data were used to test sensitivity of this model in subtropical condition of Nepal. The model was sensitive to climatic parameters (temperatures CO2 concentration and solar radiation) and weather years on yields of Rampur Composite, Upahar and Arun-4. The simulated yield for Rampur Composite and Arun-4 were 13.41% and 16.89% higher, respectively in 2006, while it was 0.12% higher for Upahar in 2005 than the yield of maize in 2007. Likewise, decrease in both maximum and minimum temperature by 4°C with respect to either solar radiation (±1MJm-2day-1) and CO2 (+20 ppm) change or not change, maize yield increased by 11.72-49.11% as compared to base scenario while it was decreased by 32.22-2.83% for increase in both maximum and minimum temperature by 4°C along with either change in solar radiation (±1MJm-2day-1) and CO2 (+20 ppm) or remains same. Results revealed that the temperature is more critical for yield potentiality of cultivars than any other climatic parameters. Screening out and adopting of new technology would be required to combat with changing climatic scenarios for attaining the potential yield of maize. CERES Key words: CSM-CERES-maize; simulation; calibration; validation; grain yield DOI: 10.3126/njst.v11i0.4084Nepal Journal of Science and Technology 11 (2010) 17-24

scholarly journals Seasonal Trend Analysis of Climatic Parameters Relation to Impacts on the Crop Productivity of the Major Crops in Bangladesh

2016 ◽  
Author(s):  
Nafia Jahan Rashmi ◽  
Md. Forhad Hossain ◽  
Mirza Hasanuzzaman
Keyword(s):  
Minimum Temperature ◽  
Rice Yield ◽  
Pearson Correlation ◽  
Wheat Yield ◽  
Seasonal Trend ◽  
Series Data ◽  
Maximum Temperature ◽  
Climatic Parameters ◽  
Positive Effects ◽  
The Relationship

In Bangladesh, climate change is a major concern because of its geophysical location and climate dependent agriculture. As sessile organisms, crops plants have to face difficulties often in this environmentally vulnerable country. Therefore, this study examines the seasonal trend of two climatic parameters viz. temperature (maximum and minimum) and rainfall over a period of 1983 to 2013. Besides, this study provides insight into the relationship between climatic parameters and crop yield of two major crops viz. rice and wheat during 1997-2013. To assess the relationship of climatic parameters with time and yield using Pearson correlation analysis, time series data used at an aggregate level. SPSS software utilized for this analysis. The cropping seasons such as rice growing seasons Aus (summer rice), Aman (autumn rice) and Boro (winter rice) exhibited a significant increase in maximum and minimum temperature. Rainfall found to have a decreasing trend for all the seasons. This study also revealed that the climatic parameters had significant effects on rice yield, but these results varied among three rice crops. Maximum temperature had positive effects on all rice yields, especially on Aus and Aman. Minimum temperature had a negative effect on Aman rice yield but a positive effect on Aus rice yield. Wheat yield negatively associated with temperature. Rainfall exhibited negative relation with both rice and wheat yield.

scholarly journals Impact of Climate Change on Rice and Wheat Yield in Punjab State of India: A District-Level Analysis

2021 ◽  
Author(s):  
Mandeep Bhardwaj ◽  
Pushp Kumar ◽  
Siddharth Kumar ◽  
Ashish Kumar
Keyword(s):  
Climate Change ◽  
Least Squares ◽  
Minimum Temperature ◽  
Rice Yield ◽  
Wheat Yield ◽  
Ordinary Least Squares ◽  
District Level ◽  
Maximum Temperature ◽  
Impact Of Climate Change ◽  
The Impact

Abstract The present study aims to examine the impact of climate change on wheat and rice yield of the Punjab state of India. Using district-level panel data from 1981 to 2017, the study employs fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and pooed mean group (PMG) approaches. The Pedroni cointegration has established a long-run relationship of climate variables with rice and wheat crops. The results of FMOLS and DOLS show that minimum temperature has a positive effect on both wheat and rice, while maximum temperature is found to be negatively contributing to both the crops. Rainfall has a significant adverse effect on wheat yield. Seasonal rainfall has been detrimental to wheat and rice yield in the study period, indicating that excess rainfall proved counterproductive. Pooled mean group (PMG) model confirms the robustness of the results obtained by FMOLS and DOLS techniques. Moreover, Dumitrescu-Hurlin causality test has revealed a unidirectional causality running from minimum temperature, rainfall & maximum temperature to rice and wheat yield. The findings of the study suggest that the government should invest in developing stress-tolerant varieties of wheat and rice, managing crop residuals to curb further environmental effect and sustain natural resources for ensuring food security.

scholarly journals Effect of Climate Change and CO2 Concentration on Growth and Yield of Rice and Wheat in Punjab: Simulations Using CSM-CERES-Rice and CSM-CERES-Wheat Models

2006 ◽  
Vol 27 ◽  
pp. 103-110 ◽  
Author(s):  
LP Amgain ◽  
NR Devkota ◽  
J Timsina ◽  
B Bijay-Singh
Keyword(s):  
Climate Change ◽  
Solar Radiation ◽  
Rice Yield ◽  
Wheat Yield ◽  
Co2 Concentration ◽  
Future Climate ◽  
Future Climate Change ◽  
Climatic Parameters ◽  
Base Scenario ◽  
The Impact

Recent trends of a decline or stagnation in the yield of rice and wheat in rice-wheat (RW) systems of the Indo-Gangetic Plains (IGP) have raised serious concerns about the regional food security. The effect of future climate change on crop production adds to this complex problem. The validated CSM-CERES-Rice and CSM-CERES-Wheat (Ver. 4.0) data were used to test the sensitivity of the models in Punjab, India. The models were sensitive to climatic parameters (temperature, CO2 concentration, solar radiation and rainfall) on yields of both crops. Simulated rice yields were sensitive to weather as there was 13% less yield of rice in 1999 than in 2001. Similarly, simulated wheat yields were also sensitive to weather, with the highest yield in 2001, and the lowest in 2003. Increments in both maximum and minimum temperatures by 4°C, decreased rice yield by 34% and wheat yield by 4% as compared to base scenario with current weather data. By increasing 4°C for both maximum and minimum temperature along with an increase in solar radiation by 1MJ/m2/day, rice yield decreased by 32% as compared to base scenario while wheat yields were not affected. With the increase in maximum and minimum temperatures by 4°C, and also an increase in CO2 concentration by 20 ppm from the standard CO2 concentration of 335 ppm, the reduction in rice yield was 33%, but in wheat yield was only 3%. Rainfed wheat yield increased by 7%, by increasing daily rainfall by 1.5 times, and by 13%, by doubling the rainfall, both after 96 days of sowing (DAS) to maturity. Lowering rainfall to zero, for each day after 96 DAS to until maturity reduced wheat yield by 18%. The increasing maximum and minimum temperatures irrespective of whether the CO2 concentration increased or not, seemed to have more adverse effects on rice than to wheat. Simulations demonstrated that CSM-CERES-Rice and CSM-CERES- Wheat are sensitive to CO2 and climatic parameters, and can be used to study the impact of future climate change on rice and wheat productivity in RW systems in Asia. Key words: CSM-CERES-Rice, CSM-CERES-Wheat, climate change, yield, phenology J. Inst. Agric. Anim. Sci. 27:103-110 (2006)

scholarly journals The study of urban climate and traffic: Considerations from the Araraquara case, SP

2019 ◽  
Vol 111 ◽  
pp. 02070
Author(s):  
Clélia Mendonça de Moraes ◽  
Edson Melanda ◽  
Nilson Roberto de Barros Carneiro
Keyword(s):  
Urban Planning ◽  
Solar Radiation ◽  
Traffic Accident ◽  
Urban Climate ◽  
Urban Sustainability ◽  
Climatic Variables ◽  
Urban Mobility ◽  
Urban Geometry ◽  
Green Areas ◽  
Urban Microclimates

The article discusses the interface between the influence of the urban climate and the traffic accident, there are as reference the results of the research carried out for the Araraquara case, SP, Brazil. Initially presented a brief analysis of urban mobility, geoprocessing (GIS) and the climatic importance in relation to urban sustainability. The article analyzes the urban climate of Araraquara, especially with regard to solar radiation on city streets and green areas. It was based on the premise that there is a correlation between the urban microclimates and the variables related to the traffic accident. Thus, a georeferenced mapping of the urban geometry was carried out by associating the climatic variables such as solar radiation, temperature and humidity of the air, to three parameters related to the traffic accident were chosen from the a) traffic accident with victim, b) without victim and c) motorcycle. At the end, the article proposes how the results found can reduce traffic accident and contribute to urban planning

Effect of environment factors on milk production and lactation length under different seasons in crossbred cattle

2015 ◽  
Author(s):  
S.S. Mote ◽  
D.S. Chauhan* and Nilotpal Ghosh1
Keyword(s):  
Milk Yield ◽  
Minimum Temperature ◽  
Summer Season ◽  
Climatic Variables ◽  
Coefficient Of Determination ◽  
Maximum Temperature ◽  
Temperature Minimum ◽  
Crossbred Cattle ◽  
Lactation Length ◽  
Significant Regression

The study was undertaken to evaluate the effect of different macro climatic variables on lactation milk yield and lactation length of Holdeo (Holstein Friesian x Deoni) crossbred cattle. Milk data of 145 Holdeo crossbred cows with 619 lactation records and the meteorological data over a period of 15 years (1995-2009) were obtained from Cattle Cross Breeding Project, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani and University Meteorological Observatory, respectively. It was observed that maximum temperature has significant correlation with lactation milk yield; whereas maximum temperature, minimum temperature, sunshine hours and wind speed have significant correlation with lactation length. Regression analysis indicated that all the climatic variables except minimum temperature exhibited significant regression results with lactation milk yield, and maximum temperature, minimum temperature and maximum humidity have significant regression results with lactation length. All the climatic variables considered in the study accounted for 75 % and 65 % direct variation on lactation milk yield and lactation length, respectively, as verified by the value of coefficient of determination (R2). It was observed that lactation milk yield (1136.56 + 21.04 kg.) and lactation length (295.29 + 5.51 days) were highest among the cows calved during winter season as compared to rainy and summer season. All the climatic variables considered in the study accounted for 57% , 56 % and 48 % direct variation on milk yield and 68% , 53 % and 46 % direct variation on lactation length in rainy, winter and summer season, respectively, as verified by the value of coefficient of determination (R2). This research indicated that crossbred cows were sensitive to seasonal changes on their lactation performance. The optimum ranges of temperature; humidity and THI for better performance of crossbred in subtropical region of India were found to be 19-26 oC, 52-66 % and 65-68 %, respectively.

scholarly journals Effects of bromeliad flowering event on the community structuring of aquatic insect larvae associated with phytotelmata of Aechmea distichantha Lem. (Bromeliaceae)

2017 ◽  
Vol 29 (0) ◽  
Author(s):  
Felipe Emiliano Amadeo ◽  
Juliana Déo Dias ◽  
Bianca Trevizan Segovia ◽  
Nadson Ressyé Simões ◽  
Fábio Amodêo Lansac-Tôha
Keyword(s):  
Growth Phase ◽  
Vegetative Growth ◽  
Beta Diversity ◽  
Aquatic Insect ◽  
Insect Larvae ◽  
Local Factors ◽  
Flowering Phase ◽  
Regional Factors ◽  
Aquatic Insect Larvae ◽  
Phenological Phases

Abstract Aim: We aimed to understand how aquatic insect larvae communities associated with bromeliad phytotelmata are affected by plant architecture, predators and resources (local factors), and by geographical distance (regional factors) in two different plant phenological phases. Bromeliad flowering results in plant structural changes, which favours insect dispersal. Considering that local and regional factors may affect the community of aquatic insect larvae, we expected that composition, beta diversity and the importance of those factors would differ in the vegetative growth and flowering phases. Methods We performed six samplings of the bromeliad associated fauna in 2010, three during the first semester - vegetative growth phase - and three during the second semester - flowering phase. In each sampling, we collected 12 plants along the rocky walls with similar location distribution, with a total of 72 bromeliads studied. Results Although beta diversity (PERMDISP) did not differ between vegetative growth and flowering, NMDS followed by ANOSIM showed that composition was significantly different in the distinct phenological phases. IndVal results showed that three Diptera morphospecies were discriminant of the vegetative growth phase. In addition, pRDA revealed differences in the relative contribution of local and regional factors to explain insect larvae community structure. During the flowering phase, local factors predominated, while during vegetative growth, regional factors were more important. Conclusion Differences in dispersal rates between the two phenological phases, likely due to adult insect pollination and further oviposition, influenced community structuring. Therefore, flowering events account for differences not only in the composition, but also in community structuring of aquatic insect larvae inhabiting the phytotelmata of Aechmea distichantha Lem. (Bromeliaceae).

Sign in / Sign up

Export Citation Format

Share Document