2011
DOI: 10.1080/15427528.2011.592570
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Genetic Analysis of Performance of Maize Inbred Lines Under Drought Stress

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Cited by 46 publications
(78 citation statements)
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“…Furthermore, non-additive gene effect was predominant in the control of grain yield, anthesis-silking interval, leaf chlorophyll content and ear aspect while days to silking, leaf senescence and plant height were influenced mainly by additive gene effects. Similar results on grain yield were earlier reported by Betràn et al (2003), Gama et al (2002), Mosisa et al (2008), Makumbi et al (2011), Meseka et al (2006, 2013, and Ndhlela (2012). However, these results are contradictory to those of Below et al (1997), Kling et al (1997), Badu-Apraku et al (2011, 2013, Ifie et al (2014) and Tamilarasi et al (2010) who reported predominance of additive gene effects compared to non-additive gene effects for grain yield under low N. The contradictory results might be due to the difference in environments (N stress level) under which the genotypes were tested or genotypic differences among sets of genotypes included in the studies as suggested by Mosisa et al (2008).…”
Section: Discussionsupporting
confidence: 81%
See 1 more Smart Citation
“…Furthermore, non-additive gene effect was predominant in the control of grain yield, anthesis-silking interval, leaf chlorophyll content and ear aspect while days to silking, leaf senescence and plant height were influenced mainly by additive gene effects. Similar results on grain yield were earlier reported by Betràn et al (2003), Gama et al (2002), Mosisa et al (2008), Makumbi et al (2011), Meseka et al (2006, 2013, and Ndhlela (2012). However, these results are contradictory to those of Below et al (1997), Kling et al (1997), Badu-Apraku et al (2011, 2013, Ifie et al (2014) and Tamilarasi et al (2010) who reported predominance of additive gene effects compared to non-additive gene effects for grain yield under low N. The contradictory results might be due to the difference in environments (N stress level) under which the genotypes were tested or genotypic differences among sets of genotypes included in the studies as suggested by Mosisa et al (2008).…”
Section: Discussionsupporting
confidence: 81%
“…Genetic studies have been conducted on maize genotypes under low N using different sources of genetic material (Badu-Apraku et al, 2013;Betràn et al, 2003;De Souza et al, 2008;Makumbi et al, 2011;Meseka et al, 2006;Meseka et al, 2013;Miti, 2007;Pswarayi & Vivek, 2008). However, information on gene action conditioning grain yield under low N has been contradictory.…”
mentioning
confidence: 99%
“…This may indicate that different physiological mechanisms are associated with high yield in favorable conditions and high yield in unfavorable conditions (Blum, 1997;Ccccarelli, 1996). Variation for quantitative characters is under the control of many genes and the contribution of the genes can differ among environments (Basford and Cooper, 1998;Delacy et al, 1996 andMeseka et al,2006). This conditional contribution of genes is the basis of genotype-by-environment (G x E) interactions.…”
Section: Introductionmentioning
confidence: 99%
“…The magnitude of correlation has been reported to be higher under drought stress conditions in comparison to non-stressed conditions (Betrȃn et al, 2003a;Ertrio et al, 2013). However, other studies (Oyekunle and Badu-Apraku, 2014;Meseka et al, 2006) have reported low correlations between inbred per se and hybrid performances. The use of grain yield component traits that have higher heritability, particularly rate of grain filling of the inbred lines, has been reported as a good predictor of maize hybrid performance (Prado et al, 2013).…”
Section: Per Se Performance and Combining Ability Of Inbred Parentsmentioning
confidence: 91%
“…In these studies strong positive correlations between inbred per se and hybrid grain yield performance under drought stress and non-stressed conditions have been reported in subtropical and tropical environments (Betrȃn et al, 2003a;Berhanu et al, 2013;Oyekunle and Badu-Apraku, 2014;Meseka et al, 2006). The efficiency of prediction based on the inbred per se performance and GCA effect varies depending on the relative importance of additive genetic variance, which is related to the level of genetic variation between the inbred parents (Betrȃn et al, 2003a;Reif et al, 2007) and environmental differences (Gowda et al, 2012).…”
Section: 2introductionmentioning
confidence: 99%