Seasonal variation in sowing and its effect on ethanol and biomass yield of sweet sorghum

Pagire, Gaurav S; Gadakh, S. R.; Shinde, M. S.; Dalvi, U. S.; Awari, V.R.; Gadakh, S. S.

doi:10.1080/15567036.2021.1918290

Cited by 2 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The general recommended package of practices for post-rainy season sorghum was presumed to mimic on-farm crop management practices [15][16][17][18]. General information on the crop management aspects across post-rainy season sorghum growing regions were collected from a literature review.…”

Section: Climate Soil and Crop Management Datamentioning

confidence: 99%

Simulating Potential Impacts of Future Climate Change on Post-Rainy Season Sorghum Yields in India

et al. 2021

View full text Add to dashboard Cite

Given the wide use of the multi-climate model mean (MMM) for impact assessment studies, this work examines the fidelity of Coupled Model Intercomparison Project Phase 5 (CMIP5) in simulating the features of Indian summer monsoons as well as the post-rainy seasons for assessing the possible impacts of climate change on post-rainy season sorghum crop yields across India. The MMM simulations captured the spatial patterns and annual cycles of rainfall and surface air temperatures. However, bias was observed in the precipitation amounts and daily rainfall intensity. The trends in the simulations of MMM for both precipitation and temperatures were less satisfactory than the observed climate means. The Crop Environment Resource Synthesis (CERES)-sorghum model was used to estimate the potential impacts of future climate change on post-rainy season sorghum yield values. On average, post-rainy season sorghum yields are projected to vary between −4% and +40% as well as +10% and +59% in the near future (2040–2069) for RCP 4.5 and RCP 8.5, respectively, and between +20% and +70% (RCP 4.5) as well as +38% and +89% (RCP 8.5) in the far future (2070–2099). Even though surface air temperatures are increasing in future climate change projections, the findings suggest that an increase in the post-rainy season sorghum yields was due to an increase in the rainfall amounts up to 23% and an increase in the atmospheric CO2 levels by the end of the 21st century. The results suggest that the projected climate change during the post-rainy season over India is an opportunity for smallholders to capitalize on the increase in rainfall amounts and further increase sorghum yields with appropriate crop management strategies.

show abstract

Section: Climate Soil and Crop Management Datamentioning

confidence: 99%

Simulating Potential Impacts of Future Climate Change on Post-Rainy Season Sorghum Yields in India

et al. 2021

View full text Add to dashboard Cite

show abstract

“…About 19.5 percent of the world's population and 27 percent of India's population take sorghum as their primary food (Hazarika et al, 2022). Globally, sorghum is cultivated on about 41 million hectares to produce 64.20 million tonnes, with a productivity level of 1.60 tonnes per hectare (Pagire et al, 2021). In India, Maharashtra secured the first position in sorghum production (1.76 million tonnes) followed by Karnataka (0.88 million tonnes), Rajasthan (0.59 million tonnes) and Tamil Nadu (0.45 million tonnes) (Praveenkumar et al, 2023).…”

mentioning

confidence: 99%

Phenology, phyllochron and productivity of sorghum in response to varying growing environments and nitrogen levels in the semiarid irrigated condition

Ammaiyappan,

Geethalakshmi,

Bhuvaneswari

et al. 2023

JANS

View full text Add to dashboard Cite

Climate change is likely to affect agricultural production in many parts of the world. Sorghum is the stable food crop in semiarid areas, and climate change has significant adverse effects on sorghum yields. The optimum time of sowing is one of the important technologies that allow the crop to better utilise natural resources by the crop to maximise productivity. For optimizing the sowing time, the field investigation was carried out in Tamil Nadu Agricultural University, Coimbatore, under summer irrigated conditions in 2022. The experiment was laid out in a split-plot design with three replications. The main plot consists of five dates of sowing and the subplot includes different nitrogen levels. The results revealed that advanced sowing (first fortnight of April) reduced the yield by 13.73% and delayed sowing (second fortnight of May) recorded the maximum yield (4230.3kg ha-1) with higher phyllochron values. GDD manifested a significant negative relationship with a high correlation coefficient (r) value of -0.98** (p = 0.01) for days to anthesis, -0.98** (p = 0.01) for days to physiological maturity and -0.88* (p = 0.05) for phyllochron. Average temperature exhibited a significant negative correlation with days to anthesis (-0.75*), physiological maturity (-0.97**) and phyllochron (-0.89*). The best-fit regression model showed that a GDD-based model could better predict the phenology of sorghum compared to an average temperature-based model. The study indicated that understanding sorghum's phenological response and productivity level under varied dates of sowing and the nitrogen levels in semiarid environments can help determine the appropriate sowing time and optimum nitrogen level for achieving better yield in summer-irrigated sorghum.

show abstract

Seasonal variation in sowing and its effect on ethanol and biomass yield of sweet sorghum

Cited by 2 publications

References 23 publications

Simulating Potential Impacts of Future Climate Change on Post-Rainy Season Sorghum Yields in India

Simulating Potential Impacts of Future Climate Change on Post-Rainy Season Sorghum Yields in India

Phenology, phyllochron and productivity of sorghum in response to varying growing environments and nitrogen levels in the semiarid irrigated condition

Contact Info

Product

Resources

About