Maize (Zea mays L.) cyclical populations response over diverse environments - developed via recurrent selection

Sajjad, M.; Khan, N.U.; Gul, S.; Khan, S.U.; Tahir, I.; Bibi, Z.; Ali, S.; Ali, N.; Khan, S.A.; Khan, S.M.; Hussain, I.

Maydica 65(1): M7

2020


ISSN/ISBN: 0025-6153
Accession: 071072020

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Abstract
The recurrent selection currently exists as a cyclical breeding technique that has been widely used for improvement in maize (Zea mays L.). In Pakistan maize crop is mainly grown in two seasons i.e., spring (sown during February 10 to March 10) and summer (sown during June 20 to July 20). Maize base population 'PSEV3' was developed through selfed progeny recurrent selection for three years in five consecutive crop seasons (during spring and summer - 2014 and 2015, and spring - 2016). During Summer 2017, the present study was aimed to assess the mean performance of maize improved populations C-1 (based on S-1 lines) and C-2 (based on S-2 lines) developed through selfed progeny recurrent selection, in comparison to base population (PSEV3-00) and check genotypes (cultivars Azam and Jalal, and hybrid Kiramat) for earliness and yield traits across four environments (two each location and planting time). Genotypes, locations, and planting times exhibited significant (p <= 0.01) differences for the majority of the traits. However, genotype by location, genotype by planting time, and genotype by location by planting time interactions were nonsignificant for most of the variables. By comparing with base population and check genotypes, the improved maize populations [PSEV3 (S-1)-C-1 and PSEV3 (S-2)-C-2] showed the best performance by having early maturity with increased grain yield across the locations and planting times. However, the C-2 population was leading, followed by C-1 as compared to the original population (C-0) and check genotypes for the majority of the traits. Overall, the selfed progeny recurrent selection was found effective in improving maize base population 'PSEV3' for maturity and yield related traits.