Marker-assisted breeding approaches for enhancing stress tolerance in crops in changing climate scenarios

2014 ◽  
pp. 422-467
Keyword(s):  
Stress Tolerance ◽  
Climate Scenarios ◽  
Marker Assisted Breeding ◽  
Changing Climate

scholarly journals Comparative study of flood projections under the climate scenarios: links with sampling schemes, probability distribution models, and return level concepts

2016 ◽  
Author(s):  
Lingqi Li ◽  
Lihua Xiong ◽  
Chong-Yu Xu ◽  
Shenglian Guo ◽  
Pan Liu
Keyword(s):  
Air Temperature ◽  
Negative Binomial ◽  
Arrival Rate ◽  
Return Level ◽  
Climate Scenarios ◽  
Distribution Models ◽  
Sampling Schemes ◽  
Future Design ◽  
Changing Climate ◽  
Design Floods

Abstract. Traditional stationarity strategy for extrapolating future design floods requires renovation in response to the possible nonstationarity caused by changing climate. Capable of tackling such problem, the expected-number-of-events (ENE) method is employed with both Annual Maximum (AM) and Peaks over Threshold (POT) sampling schemes expatiated. The existing paradigms of the ENE method are extended focusing on the over-dispersion emerged in POT arrival rate, for which by virtue of the ability to account, the Negative Binomial (NB) distribution is proposed as an alternative since the common assumption of homogeneous Poisson process would likely be invalid under nonstationarity. Flood return levels are estimated and compared under future climate scenarios (embodied by the two covariates of precipitation and air temperature) using the ENE method for both sampling schemes in the Weihe basin, China. To further understand how flood estimation responds to climate change, a global sensitivity analysis is performed. It is found that design floods dependent on nonstationarity are usually but not necessarily more different from those analyzed by stationarity strategy due to the interaction between air temperature and precipitation. In general, a large decrease in flood projection could be induced under nonstationarity if air temperature presents dramatically increasing trend or reduction occurs in precipitation, and vice versa. AM-based flood projections are mostly smaller than POT estimations (unless a low threshold is assumed) and more sensitive to changing climate. The outcome of the biased flood estimates resulting from an unrestricted use of the Poisson assumption suggests a priority to the NB distribution when fitting POT arrival rate with significantly larger variance than the mean. The study supplements the knowledge of future design floods under changing climate and makes an effort to improve guidance of choices in flood inference.

scholarly journals Improving abiotic stress tolerance in sorghum: focus on the nutrient transporters and marker-assisted breeding

Planta ◽  
2021 ◽  
Vol 254 (5) ◽  
Author(s):  
T. Maharajan ◽  
T. P. Ajeesh Krishna ◽  
Rose Mary Kiriyanthan ◽  
S. Ignacimuthu ◽  
S. Antony Ceasar
Keyword(s):  
Abiotic Stress ◽  
Stress Tolerance ◽  
Abiotic Stress Tolerance ◽  
Nutrient Transporters ◽  
Marker Assisted Breeding

Marker-Assisted Breeding for Abiotic Stress Tolerance in Crop Plants

2018 ◽  
pp. 1-23 ◽  
Author(s):  
Shabir H. Wani ◽  
Mukesh Choudhary ◽  
Pardeep Kumar ◽  
Nudrat Aisha Akram ◽  
Challa Surekha ◽  
...  
Keyword(s):  
Abiotic Stress ◽  
Stress Tolerance ◽  
Abiotic Stress Tolerance ◽  
Crop Plants ◽  
Marker Assisted Breeding

scholarly journals Yield stability for cereals in a changing climate

2012 ◽  
Vol 39 (7) ◽  
pp. 539 ◽  
Author(s):  
Nicola Powell ◽  
Xuemei Ji ◽  
Rudabe Ravash ◽  
Jane Edlington ◽  
Rudy Dolferus
Keyword(s):  
Abiotic Stress ◽  
Stress Tolerance ◽  
Abiotic Stress Tolerance ◽  
Yield Stability ◽  
Yield Potential ◽  
Screening Methods ◽  
World Population ◽  
Weather Extremes ◽  
Changing Climate ◽  
Grain Productivity

The United Nations Food and Agriculture Organisation (FAO) forecasts a 34% increase in the world population by 2050. As a consequence, the productivity of important staple crops such as cereals needs to be boosted by an estimated 43%. This growth in cereal productivity will need to occur in a world with a changing climate, where more frequent weather extremes will impact on grain productivity. Improving cereal productivity will, therefore, not only be a matter of increasing yield potential of current germplasm, but also of improving yield stability through enhanced tolerance to abiotic stresses. Successful reproductive development in cereals is essential for grain productivity and environmental constraints (drought, cold, frost, heat and waterlogging) that are associated with climate change are likely to have severe effects on yield stability of cereal crops. Currently, genetic gains conferring improved abiotic stress tolerance in cereals is hampered by the lack of reliable screening methods, availability of suitable germplasm and poor knowledge about the physiological and molecular underpinnings of abiotic stress tolerance traits.

Crop disease management strategies for rainfed cropping systems under changing climate scenarios

2021 ◽  
Author(s):  
Suseelendra Desai ◽  
S. C. Dubey ◽  
Meenakshi Taduri ◽  
Uzma Sultana ◽  
Sravani Pinisetty
Keyword(s):  
Disease Management ◽  
Cropping Systems ◽  
Management Strategies ◽  
Climate Scenarios ◽  
Changing Climate ◽  
Crop Disease
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