Evaluation of Yield Performance and Variation on its Adaptation-Related Traits of Quality Protein Maize (QPM) (Zea mays L.) Varieties at Selected Woredas of Wolaita Zone, Ethiopia

Sorsa, Zemach; Kassa, Mesfin

doi:10.3923/ijpbg.2015.255.261

Cited by 2 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the obtained yield has been trianglated with reports of district offices of agriculture for each cluster. Next on farm trial yields, maize yield from researcher designed researcher managed trials, were collected from reports of researchers [49][50][51][52][53][54][55][56] . The model was calibrated using historic weather data of thirty years (1991-2020), field measured values of crop parameters and soil properties during 2011-2017 cropping season.…”

Section: Data Sourcesmentioning

confidence: 99%

Exploring adaptation responses of maize to climate change scenarios in southern central Rift Valley of Ethiopia

Markos,

Worku,

Mamo

2023

Sci Rep

View full text Add to dashboard Cite

In this study, we assessed responses of adaptation options to possible climate change scenarios on maize growth and yield by using projections of 20 coupled ensemble climate models under two representative concentration pathways (RCPs) 4.5 and 8.5 by means of a DSSAT model. Growth and yield simulations were made across present and future climate conditions using the hybrid maize variety (Shone). Subsequently, simulated yields were compared with farmer’ average and on-farm trial yields. Results showed that on-farm trial yield (5.1–7.3 t ha−1) lay in between farmers’ average yield (2.9–5 t ha−1) and water-limited potential yield (6.3–10.6 t ha−1). Maize yields achieved in farmers’ fields are projected to decline towards mid-century and further towards the end of the century regardless of the adaptation options compared with baseline in low potential clusters. Results of a combination of adaptation options including February planting, use of 64 kg ha−1 N and conservation tillage provided yield advantage of 5.8% over the 30 cm till under medium GHGs emission scenario during mid-century period at Shamana. Mulching with 5 t ha−1 was projected to produce a 4–5% yield advantage in the Hawassa cluster during the mid-century period regardless of changes in tillage or planting window. Under a high GHGs emission scenario, over 13.4% yield advantage was projected in the Bilate cluster due to conservation tillage and June planting during the mid-century period. In the Dilla cluster, the use of 10 t ha−1 mulch, conservation tillage and early planting (February) would result in a 1.8% yield advantage compared with the control either in medium or high GHGs emission scenarios. Thus, the most promising and least risky practices among simulated strategies were the use of nitrogen and mulching in combination with tillage or planting date adjustment. However, adaptation options remained least promising and highly risky if not integrated with mulching or nitrogen use. Hence, the negative impacts of future climate change and subsequent yield gaps would be reduced by optimizing the application of nitrogen, mulch and their interaction with planting date and tillage in high and low potential areas of maize production.

show abstract

Section: Data Sourcesmentioning

confidence: 99%

Exploring adaptation responses of maize to climate change scenarios in southern central Rift Valley of Ethiopia

Markos,

Worku,

Mamo

2023

Sci Rep

View full text Add to dashboard Cite

show abstract

Modeling performances of maize cultivars under current and future climate scenarios in southern central Ethiopian rift valley

Markos,

Worku,

Mamo

2024

CABI Agric Biosci

View full text Add to dashboard Cite

Background In southern central rift valley of Ethiopia, maize is an important crop because of its adaptation to wider agro-ecologies and higher yield potential. However, most cultivars were not parameterized to include in the database of Decision Support System for Agro-technology Transfer (DSSAT). As a result simulation of growth and yield of those cultivars was not possible under changing climate. Methods Two set of independent crop, management and soil data were used for calibration and validation of genetic coefficients of maize cultivars (BH-540, BH-546, BH-547, Shala and Shone) under condition of historic weather (1990–2020). Later, we simulated the growth and yield of maize using twenty multimodel climate ensembles across RCP 4.5 and 8.5 during early, medium and late century across Shamana, Bilate, Hawassa and Dilla clusters using DSSATv4.8 model. Results Cultivars BH-540, BH-546, BH-547, Shala and Shone produced yields of 5.7, 5.4, 5.2, 6.9 and 7.4 t ha−1 with the corresponding error percentage of − 0.1, − 0.8, − 1.0, − 6.1 and 2.6%. The results of normalized root mean square were 1.14–4.2 and 3.0–3.9%, for grain yield during calibration and validation, respectively showing an excellent rating. The simulation experiment produced 5.4–9.2 t ha−1 for grain yield of maize cultivars across the study areas, which is likely to fall close to 63.3% by 2070 if right adaptation options are not introduced necessitating switch in cultivars and production areas. Conclusions There is critical need for reduction of GHGs emissions, generation of innovative adaptation strategies, and development of drought and heat stress tolerant maize cultivars. Hence, researchers and policy makers shall act with utmost urgency to embark with breeding programs that target climate change adaptation traits in maize crop.

show abstract

Evaluation of Yield Performance and Variation on its Adaptation-Related Traits of Quality Protein Maize (QPM) (Zea mays L.) Varieties at Selected Woredas of Wolaita Zone, Ethiopia

Cited by 2 publications

References 7 publications

Exploring adaptation responses of maize to climate change scenarios in southern central Rift Valley of Ethiopia

Exploring adaptation responses of maize to climate change scenarios in southern central Rift Valley of Ethiopia

Modeling performances of maize cultivars under current and future climate scenarios in southern central Ethiopian rift valley

Contact Info

Product

Resources

About