Direct and indirect impacts of climate change on wheat yield in the Indo-Gangetic plain in India

Introducing Beneficial Alleles from Plant Genetic Resources into the Wheat Germplasm

“…In turn, this influences the number of possible allelic combinations placed under selection, and hence reduces the "intensity of selection", a critical factor for the genetic gain equation. This problem is exacerbated by worsening weather conditions causing the raise of stronger disease strains and adverse climatic conditions [29,30]. Recently, Miedaner and Juroszek [31] highlighted increasing disease risks especially for wheat rusts and Fusarium head blight (FHB) in northwestern Europe in the future.…”

Agri-food systems in India: Concerns and policy recommendations for building resilience in post COVID-19 pandemic times

“…Further augmenting COVID-19 induced disruption of agricultural systems is the impact of various climate change related concerns such as warming temperatures, environmental pollutants, falling groundwater levels and deteriorating air quality on crop yields ( Rasul 2021 ) and several assessments have recognized the close association between agriculture, food systems, health and environment ( Campbell et al, 2016 ; Lam et al, 2017 ; Pradhan et al, 2018 ). Based on modelling simulations, Daloz et al (2021) concluded that the direct effects of climate change manifesting in the form of temperature and precipitation alterations can lead to wheat losses between −1% and −8% while indirect effects of climate change impacting water availability can cause even higher yield losses in the Indo-Gangetic plains. Similarly, Mukherjee et al (2021) have further deduced wheat followed by mustard and rice to be the most sensitive towards ambient ozone concentrations in the troposphere.…”

Probabilistic Assessment of Extreme Heat Stress on Indian Wheat Yields Under Climate Change

“…The probability distributions of wheat yield, conditional on the heat stress indicators, are further used for evaluating future agricultural risk under climate change. For this, we first eliminate the confounding role of rainfall, since 85% of the region is irrigated (Daloz et al, 2021;Kumar et al, 2014), relying strongly on groundwater reserves (Vatta et al, 2018). In a standardized mixed-effects linear regression model (e.g., Davis et al, 2019;Zachariah et al, 2020), we find pronounced sensitivity of wheat yields to irrigation and temperature (significant at 10% s.l) as compared to JJAS rainfall (Text S2 and Table S2 in Supporting Information S1).…”