Response of African Sorghum Genotypes for Drought Tolerance under Variable Environments

Author:

Yahaya Muhammad Ahmad12ORCID,Shimelis Hussein1ORCID,Nebié Baloua3ORCID,Mashilo Jacob14ORCID,Pop Georgeta5ORCID

Affiliation:

1. African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3209, South Africa

2. Department of Plant Science, Institute for Agricultural Research Samaru, Ahmadu Bello University Zaria, PMB 1044, Kaduna 810211, Nigeria

3. International Maize and Wheat Improvement Center (CIMMYT), AfricaRice Sahel Regional Station, BP 96, Saint-Louis 32001, Senegal

4. Limpopo Department of Agriculture and Rural Development, Agriculture Regulatory and Technology Development, Crop Science Directorate, Towoomba Research Centre, Private Bag X1615, Bela-Bela 0480, South Africa

5. Department of Crop Science, Faculty of Agriculture, University of Life Sciences “King Michael I” from Timișoara, Calea Aradului 119, 300645 Timișoara, Romania

Abstract

Sorghum (Sorghum bicolor (L.) Moench) is the main food staple for millions of people in Sub-Saharan Africa (SSA) and Asia. Sorghum is relatively drought tolerant and cultivated in arid and semi-arid regions under rain-fed production. However, severe drought stress often leads to crop loss and declined productivity. The development and deployment of high-yielding and drought-adapted genotypes is a cost-effective strategy for sustainable sorghum production globally. The objective of this study was to determine drought tolerance and genotype-by-environment interaction (GEI) effects on grain yields of a population of African sorghum genotypes to identify high-yielding and drought-adapted genotypes for direct production and also for use in breeding programs. Two hundred and twenty-five sorghum genotypes were evaluated under non-stressed (NS), pre-anthesis drought stress (PreADS), and post-anthesis drought stress (PoADS) conditions under field and greenhouse environments using a 15 × 15 alpha lattice design in two replicates. The three water regimes and two environments resulted in six testing environments. Data were collected on grain yield and drought tolerance parameters, and additive main effect and multiplicative interaction (AMMI) analysis were computed. The mean grain yield under NS, PreADS, and PoADS were 3.70, 1.76, and 2.58 t/ha, in that order. The best genotypes adapted to non-stressed environments were G09, and G109, whereas G114 and G56 were suitable for non-stressed and stressed conditions. G72 and G75 displayed the best performance in PreADS conditions only, whereas genotypes G210 and G12 were identified as high performers under PoADS only. The AMMI analysis revealed that genotype (G), environment (E), and GEI were significant (p < 0.05), which accounted for 38.7, 44.6, and 16.6% of the total explained variation in grain yield. AMMI 4 was the best-fitting model for grain yield. Based on AMMI 4 and the Best Linear Unbiased Estimates (BLUPs) calculations, genotypes G119 and G127 with a grain yield of 5.6 t/ha and 6.3 t/ha were selected as being suitable for non-stressed conditions. Genotypes G8 and G71 with BLUPs of 2.5 t/ha and 2.6 t/ha were best-suited for pre-anthesis drought stress conditions, whereas genotypes G115 and G120 with BLUPs of 4.2 t/ha and 4.3 t/ha are recommended for post-anthesis drought-prone environments, respectively. The identified sorghum genotypes are recommended for production in dry agro-ecologies of sub-Saharan Africa characterized by pre-and-post anthesis drought stress. In addition, the identified genotypes are valuable genetic resources to develop novel drought-tolerance material.

Funder

Bill and Melinda Gates Foundation

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference66 articles.

1. Marker-assisted selection in Sorghum;Varshney;Genomics Applications in Crops,2007

2. Food and Agriculture Organization of the United Nations (FAOSTAT) (2022, November 22). Database of Agricultural Production. FAO Statistical Databases. Available online: http://www.fao.org/faostat/en/#data/QC.

3. Sorghum as a healthy global food security crop: Opportunities and challenges;Teferra;Cereal Foods World,2019

4. Sorghum Production in Nigeria: Opportunities, Constraints, and Recommendations;Yahaya;Acta Agric. Scand. Sect. B—Soil Plant Sci.,2022

5. Potential food applications of sorghum (Sorghum bicolor) and rapid screening methods of nutritional traits by spectroscopic platforms;Thilakarathna;J. Food Sci.,2022

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