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 Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change

2019 ◽  
Author(s):  
Ben Parkes ◽  
Thomas P. Higginbottom ◽  
Koen Hufken ◽  
Francisco Ceballos ◽  
Berber Kramer ◽  
...  
Keyword(s):  
Climate Variability ◽  
Crop Yield ◽  
Climate Variability And Change ◽  
Yield Responses

scholarly journals Climate Variability and Change Affect Crops Yield under Rainfed Conditions: A Case Study in Gedaref State, Sudan

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1680
Author(s):  
Maysoon A. A. Osman ◽  
Joshua Orungo Onono ◽  
Lydia A. Olaka ◽  
Muna M. Elhag ◽  
Elfatih M. Abdel-Rahman
Keyword(s):  
Linear Regression ◽  
Climate Variability ◽  
Crop Yield ◽  
Rainy Season ◽  
Annual Rainfall ◽  
Maximum Temperature ◽  
Simple Linear Regression ◽  
Climate Variability And Change ◽  
Crops Yield ◽  
The Impact

It is projected that, on average, annual temperature will increase between 2 °C to 6 °C under high emission scenarios by the end of the 21st century, with serious consequences in food and nutrition security, especially within semi-arid regions of sub-Saharan Africa. This study aimed to investigate the impact of historical long-term climate (temperature and rainfall) variables on the yield of five major crops viz., sorghum, sesame, cotton, sunflower, and millet in Gedaref state, Sudan over the last 35 years. Mann–Kendall trend analysis was used to determine the existing positive or negative trends in temperature and rainfall, while simple linear regression was used to assess trends in crop yield over time. The first difference approach was used to remove the effect of non-climatic factors on crop yield. On the other hand, the standardized anomaly index was calculated to assess the variability in both rainfall and temperature over the study period (i.e., 35 years). Correlation and multiple linear regression (MLR) analyses were employed to determine the relationships between climatic variables and crops yield. Similarly, a simple linear regression was used to determine the relationship between the length of the rainy season and crop yield. The results showed that the annual maximum temperature (Tmax) increased by 0.03 °C per year between the years 1984 and 2018, while the minimum temperature (Tmin) increased by 0.05 °C per year, leading to a narrow range in diurnal temperature (DTR). In contrast, annual rainfall fluctuated with no evidence of a significant (p > 0.05) increasing or decreasing trend. The yields for all selected crops were negatively correlated with Tmin, Tmax (r ranged between −0.09 and −0.76), and DTR (r ranged between −0.10 and −0.70). However, the annual rainfall had a strong positive correlation with yield of sorghum (r = 0.64), sesame (r = 0.58), and sunflower (r = 0.75). Furthermore, the results showed that a longer rainy season had significant (p < 0.05) direct relationships with the yield of most crops, while Tmax, Tmin, DTR, and amount of rainfall explained more than 50% of the variability in the yield of sorghum (R2 = 0.70), sunflower (R2 = 0.61), and millet (R2 = 0.54). Our results call for increased awareness among different stakeholders and policymakers on the impact of climate change on crop yield, and the need to upscale adaptation measures to mitigate the negative impacts of climate variability and change.

scholarly journals Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change

2019 ◽  
Vol 14 (12) ◽  
pp. 124089 ◽  
Author(s):  
B Parkes ◽  
T P Higginbottom ◽  
K Hufkens ◽  
F Ceballos ◽  
B Kramer ◽  
...  
Keyword(s):  
Climate Variability ◽  
Crop Yield ◽  
Climate Variability And Change ◽  
Yield Responses

Ecological-Fishery Forecasting of Squid Stock Dynamics under Climate Variability and Change: Review, Challenges, and Recommendations

2021 ◽  
pp. 1-36
Author(s):  
Hassan Moustahfid ◽  
Lisa C. Hendrickson ◽  
Alexander Arkhipkin ◽  
Graham J. Pierce ◽  
Avijit Gangopadhyay ◽  
...  
Keyword(s):  
Climate Variability ◽  
Climate Variability And Change

Annual and intra-annual climate variability and change of the Volta Delta, Ghana

2021 ◽  
Vol 193 (4) ◽  
Author(s):  
Jennifer Ayamga ◽  
Opoku Pabi ◽  
Barnabas A. Amisigo ◽  
Benedicta Y. Fosu-Mensah ◽  
Samuel Nii Ardey Codjoe
Keyword(s):  
Climate Variability ◽  
Climate Variability And Change

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>

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