Rice drought risk assessment under climate change: Based on physical vulnerability a quantitative assessment method

Guo, Hao; Wang, Ran; Garfin, Gregg M.; Zhang, Anyu; Lin, Degen; Liang, Qin’ou; Wang, Jing’ai

doi:10.1016/j.scitotenv.2020.141481

Cited by 42 publications

(21 citation statements)

References 75 publications

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“…Drought is the main abiotic stress in rice crops (Rasheed et al, 2020). More regions are expected to become drought prone in the future in India and the percentage of drought risk areas in India, China and Japan are estimated to be above 55% (Guo et al, 2021). Marker assisted selection (MAS) is a quick, effective and economical approach to improve drought tolerance in rice.…”

Section: Introductionmentioning

confidence: 99%

Parent progeny regression analysis in segregating generations of drought QTLs pyramided rice lines (Oryza sativa L.)

2021

EJPB

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The present study was undertaken to estimate the effectiveness of selection for the yield and yield contributing traits in the BC 2 F 3 and BC 2 F 4 generations of drought QTL introgressed progenies of Improved White Ponni (IWP) x Apo. A positively skewed and negatively skewed platykurtic curve was observed in many of the traits in both generations indicating the influence of a large number of genes. Significant and positive intergenerational correlation and regression coefficient values were obtained for all the yield contributing characters indicating that selection can be done in these generations for isolating superior genotypes. Narrow sense heritability estimates obtained high values for the traits days to 50 per cent flowering, the number of productive tillers, filled grains per panicle and single plant yield indicating that selection will be effective for these traits in these early generations.

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Section: Introductionmentioning

confidence: 99%

Parent progeny regression analysis in segregating generations of drought QTLs pyramided rice lines (Oryza sativa L.)

2021

EJPB

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“…Density-based clustering controls the growth of clusters through judging the relationship of data density (the number of instances in unite area) and threshold. Grid-based clustering divides the object space into a limited number of cells to form a grid structure and is often combined with other methods, especially density-based clustering methods (Sun et al, 2008;Han et al, 2012). K-means is a clustering algorithm based on partition.…”

Section: N(lrmentioning

confidence: 99%

Establishment and characteristics analysis of a crop–drought vulnerability curve: a case study of European winter wheat

Guo

Zhang

et al. 2021

Nat. Hazards Earth Syst. Sci.

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Abstract. As an essential component of drought risk, crop–drought vulnerability refers to the degree of the adverse response of a crop to a drought event. Different drought intensities and environments can cause significant differences in crop yield losses. Therefore, quantifying drought vulnerability and then identifying its spatial characteristics will help understand vulnerability and develop risk-reduction strategies. We select the European winter wheat growing area as the study area and 0.5∘ × 0.5∘ grids as the basic assessment units. Winter wheat drought vulnerability curves are established based on the erosion–productivity impact calculator model simulation. Their loss change and loss extent characteristics are quantitatively analysed by the key points and cumulative loss rate, respectively, and are then synthetically identified via K-means clustering. The results show the following. (1) The regional yield loss rate starts to rapidly increase from 0.13 when the drought index reaches 0.18 and then converts to a relatively stable stage with the value of 0.74 when the drought index reaches 0.66. (2) In contrast to the Pod Plain, the stage transitions of the vulnerability curve lags behind in the southern mountain area, indicating a stronger tolerance to drought. (3) According to the loss characteristics during the initial, development, and attenuation stages, the vulnerability curves can be divided into five clusters, namely low-low-low, low-low-medium, medium-medium-medium, high-high-high, and low-medium-high loss types, corresponding to the spatial distribution from low latitude to high latitude and from mountain to plain. The paper provides ideas for the study of the impact of environment on vulnerability and for the possible application of vulnerability curve in the context of climate change.

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“…In addition, the area of regions subjected to drought stress is expanding, and as drought frequency and intensity increase, drought stress is a problem that must be resolved. In particular, in Asia, which accounts for most of the world’s rice production, annual production of rice suffers a loss of up to 40% due to drought stress ( Guo et al, 2021 ). One specific problem in relation to drought is how to maintain stable yield, while minimizing the drought-related effects of climate change on various food crops.…”

Section: Introductionmentioning

confidence: 99%

Applications of CRISPR/Cas9 as New Strategies for Short Breeding to Drought Gene in Rice

et al. 2022

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Recent unpredictable climate change is the main reason for the decline in rice yield. In particular, drought stress is a major constraint in reducing yield and quality for rice at rainfed agriculture areas, such as Asia and South America. CRISPR/Cas9 provides an effective solution for gene function study and molecular breeding due to specific editing of targeted genome sequences. In addition, CRISPR/Cas9 application can significantly reduce the time required to develop new cultivars with improved traits compared to conventional complex and time-consuming breeding. Here, drought-induced gene Oryza sativa Senescence-associated protein (OsSAP) was edited by CRISPR/Cas9. To investigate the possible role of OsSAP in drought stress, genome-editing plants were subjected to drought stress until the soil moisture content reached 20%, and the reactive oxygen species (ROS) scavenging efficiency of genome-editing plants were decreased. When the genome-editing plants were subjected to drought stress, survival rate, shoot length, root length, content of chlorophyll number of tiller, and 1,000-grain weight decreased, and more H2O2 and O2− were detected in leaves. In addition, expression levels of several critical stress-related transcription factors were decreased in the OsSAP genome-editing plant. These results suggest that OsSAP function as a positive regulator during drought stress response in rice. We analyzed the expression of OsSAP and Cas9 in T0 and T1 plants as well as T2 seeds. As the course of generation advancement progressed, Cas9 expression remained stable or weakened but the OsSAP expression was continuously removed from the T0 plant. The coefficient of variation (CV) in both T1 plants and T2 seeds was lower than 5%. Overall, our results suggest that CRISPR/Cas9 could be a novel and important tool for efficiently generating specific and inheritable targeted genome editing in rice, with short breeding cycles.

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Rice drought risk assessment under climate change: Based on physical vulnerability a quantitative assessment method

Cited by 42 publications

References 75 publications

Parent progeny regression analysis in segregating generations of drought QTLs pyramided rice lines (Oryza sativa L.)

Parent progeny regression analysis in segregating generations of drought QTLs pyramided rice lines (Oryza sativa L.)

Establishment and characteristics analysis of a crop–drought vulnerability curve: a case study of European winter wheat

Applications of CRISPR/Cas9 as New Strategies for Short Breeding to Drought Gene in Rice

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