scholarly journals The association of childhood exposure to crop yield variation and survival in a subsistence farming population in Burkina Faso

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Kristine Belesova ◽  
Paul Wilkinson ◽  
Ali Sie ◽  
Rainer Sauerborn
2017 ◽  
Vol 187 (2) ◽  
pp. 242-250 ◽  
Author(s):  
Kristine Belesova ◽  
Antonio Gasparrini ◽  
Ali Sié ◽  
Rainer Sauerborn ◽  
Paul Wilkinson

2018 ◽  
Vol 2017 (1) ◽  
pp. 96
Author(s):  
Kristine Belesova ◽  
Antonio Gasparrini ◽  
Ali Sié ◽  
Rainer Sauerborn ◽  
Paul Wilkinson

Web Ecology ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 15-43
Author(s):  
Gabriela Gleiser ◽  
Nicolay Leme da Cunha ◽  
Agustín Sáez ◽  
Marcelo Adrián Aizen

Abstract. Artificial selection and genetic engineering plus an expanding repertoire and use of agrochemical inputs have allowed a rapid and continuous increase in crop yield (i.e., volume production per unit area) over the last century, which is needed to fulfill food demands from a growing human population. However, the first signs of yield deceleration and stagnation have already been reported for some globally important crops. Therefore, the study of the drivers of yield growth and its variation is essential for directing research and policies aiming at ensuring food security in the forthcoming years. We used data on mean and variability in annual yield growth for 107 globally important crops to assess the role of environmental (i.e., climatic region) and plant intrinsic traits (i.e., type of harvested organ, pollinator dependence, and life form) as drivers of change in yield growth and its stability. We applied a comparative approach to control for biases associated with phylogenetic non-independence among crops, an approach rarely used in agronomic studies. Average yield growth and its variation were not phylogenetically structured. Yield growth decreased with increasing pollinator dependence in tree crops but not in herbaceous and shrubby crops. Interannual yield variation tended to increase with increasing pollinator dependence, and it was higher in crops from temperate regions, in those cultivated for their reproductive organs, and in tree and shrubby crops as compared with herbaceous ones. Information on ecological correlates of crop yield growth and interannual yield variation can be used in the design of more sustainable and diversified agriculture schemes.


1990 ◽  
Vol 54 (3) ◽  
pp. 859-865 ◽  
Author(s):  
D. L. Karlen ◽  
E. J. Sadler ◽  
W. J. Busscher

2015 ◽  
Vol 105 (3) ◽  
pp. 199-216 ◽  
Author(s):  
Tidiane Diarisso ◽  
Marc Corbeels ◽  
Nadine Andrieu ◽  
Patrice Djamen ◽  
Jean-Marie Douzet ◽  
...  

2002 ◽  
Vol 42 (6) ◽  
pp. 781 ◽  
Author(s):  
I. K. Nuberg ◽  
S. J. Mylius ◽  
J. M. Edwards ◽  
C. Davey

This paper presents the results of 3 years (1994–96) work on the effect of shelter created by a 9 m high Aleppo pine (Pinus halepensis) windbreak in the Mediterranean environment of South Australia on the productivity of wheat, canola, faba beans and oats. Elements of the classic windbreak signature could be detected in the yield responses of 6 of 8 crop years. For example, in the dry year of 1994, yields in the sheltered zone (3–6 H) were 44, 49 and 81% greater than in the exposed zone (18–24 H) for wheat, faba beans and canola, respectively. In 1995, a wet year, only faba beans showed a response (18% increase). In 1996, oats showed an apparent 25% yield increase in the sheltered zone compared with the unsheltered zone. However, these yield differences were not due to shelter alone. For example, covariate analysis of 1995 wheat and bean yield data with soil texture indicated that yield variation across the paddock could be explained by variation in depth to calcareous clay loam. Cumulative water use of wheat was greater in the 3–12 H zone in 1994 (dry year) but less in 1995 (wet year); however, these differences are likely to be also due to soil variation in the 2 plots used. Nevertheless, the windbreak effectively altered the microclimate. Cumulative temperature was measured at 4 distances on the leeward side of the windbreak and used to predict the time taken for wheat to reach anthesis at each location. The correlation between normalised values of observed and predicted times to anthesis was found for 3 wheat crops with different times of sowing in 1995 (r2 = 0.62). It was concluded that (i) shelter will affect the physiology of crops grown in this environment, (ii)�the shelter effect on enhancing crop yield is relatively subtle compared with other sources of yield variation and (iii)�the evidence for a water-saving mechanism in enhancing crop yield is inconclusive.


2021 ◽  
Vol 13 (11) ◽  
pp. 2202
Author(s):  
Jianxiu Shen ◽  
Fiona H. Evans

Long-term maps of within-field crop yield can help farmers understand how yield varies in time and space and optimise crop management. This study investigates the use of Landsat NDVI sequences for estimating wheat yields in fields in Western Australia (WA). By fitting statistical crop growth curves, identifying the timing and intensity of phenological events, the best single integrated NDVI metric in any year was used to estimate yield. The hypotheses were that: (1) yield estimation could be improved by incorporating additional information about sowing date or break of season in statistical curve fitting for phenology detection; (2) the integrated NDVI metrics derived from phenology detection can estimate yield with greater accuracy than the observed NDVI values at one or two time points only. We tested the hypotheses using one field (~235 ha) in the WA grain belt for training and another field (~143 ha) for testing. Integrated NDVI metrics were obtained using: (1) traditional curve fitting (SPD); (2) curve fitting that incorporates sowing date information (+SD); and (3) curve fitting that incorporates rainfall-based break of season information (+BOS). Yield estimation accuracy using integrated NDVI metrics was further compared to the results using a scalable crop yield mapper (SCYM) model. We found that: (1) relationships between integrated NDVI metrics using the three curve fitting models and yield varied from year to year; (2) overall, +SD marginally improved yield estimation (r = 0.81, RMSE = 0.56 tonnes/ha compared to r = 0.80, RMSE = 0.61 tonnes/ha using SPD), but +BOS did not show obvious improvement (r = 0.80, RMSE = 0.60 tonnes/ha); (3) use of integrated NDVI metrics was more accurate than SCYM (r = 0.70, RMSE = 0.62 tonnes/ha) on average and had higher spatial and yearly consistency with actual yield than using SCYM model. We conclude that sequences of Landsat NDVI have the potential for estimation of wheat yield variation in fields in WA but they need to be combined with additional sources of data to distinguish different relationships between integrated NDVI metrics and yield in different years and locations.


2018 ◽  
Vol 2017 (1) ◽  
pp. 552
Author(s):  
Kristine Belesova ◽  
Christoph Gornott ◽  
Ali Sié ◽  
Rainer Sauerborn ◽  
Paul Wilkinson

2019 ◽  
Vol 691 ◽  
pp. 538-548 ◽  
Author(s):  
Kristine Belesova ◽  
Christoph Gornott ◽  
James Milner ◽  
Ali Sié ◽  
Rainer Sauerborn ◽  
...  

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