Evaluation of Four Maize (Zea mays L.) Genotypes Using Drought Tolerance Indices

OUMAROU ABDOULAYE Moussa *

Department of Biology, Faculty of Science and Technology, Laboratory Ecology and Management of Sahelo-Saharan Biodiversity, André Salifou University of Zinder, Niger.

ISSOUFOU Hassane Bil-Assanou

Department of Science and Technology of Plant Production, Faculty of Agronomy and Environmental Sciences, Dan Dicko Dan Koulodo University of Maradi, Niger.

MAINASSARA Abdou Zaman-Allah

Department of Biology, Faculty of Science and Technology, Dan Dicko Dan Koulodo University of Maradi, Niger.

*Author to whom correspondence should be addressed.


Abstract

Drought tolerance is not often considered as an independent trait by breeders. The objective of this study was to evaluate and identify drought tolerant genotypes using eight drought tolerance indices namely the Stress Susceptibility Index (SSI), the YSI, the YR (Yr), yield index (YI), tolerance index (TOL), average productivity (MP), mean geometric productivity (GMP) and stress tolerance index (STI) of maize genotypes (Zea mays L.). A field trial was conducted to evaluate four genotypes during the hot dry season of 2016 and 2017 at the irrigated perimeter of Djirataoua. Drought tolerance indices were calculated on the basis of yield under optimal and stressed conditions. The comparison of the means of drought tolerance demonstrated the effects of drought on yield and showed significant differences between genotypes. The correlation coefficient and principal component analysis showed that the GMP, MP and STI indices were able to discriminate drought-sensitive and tolerant genotypes. Two genotypes CZH131001 and CZH142013 produced high grain yield under both optimal and stressed conditions. Overall, GMP, MP, and STI indices can be used as effectively drought tolerance screening indices and able to identify better genotypes, suitable for both optimal and stress conditions.

Keywords: Correlation coefficient, drought tolerance index, genotypes, principal component analysis


How to Cite

Moussa , OUMAROU ABDOULAYE, ISSOUFOU Hassane Bil-Assanou, and MAINASSARA Abdou Zaman-Allah. 2023. “Evaluation of Four Maize (Zea Mays L.) Genotypes Using Drought Tolerance Indices”. Asian Journal of Biology 19 (2):54-62. https://doi.org/10.9734/ajob/2023/v19i2363.

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