Analysis of combining ability over environments in diallel crosses of maize ( Zea mays )

Inheritance and combining ability study on drought tolerance and grain yield among early maturing inbred lines of maize (Zea mays L.)

“…However, hybrid TZEI-13 × TZEI-17 which showed higher negative SCA effects for GY indicates the unsuitability of both parents as good specific combiners for grain yield. This report supported the findings of Pswarayi and Vivek (2008) and Murtadha et al (2016) who also observed differences in the expression of GCA and SCA with stress. Under both conditions, TZEI-17 × TZEI-25 was the most promising cross for improving GY followed by TZEI-13 × TZEI-23 due to the highest positive SCA on one hand and high significant SCA on other hand for the following characters GY and ear weight.…”

“…Similar results were published from other studies, such as grain yield (Doerksen et al, 2003;Laouali, 2014), DS 50% (Zare et al, 2011), leaf senescence (BaduApraku, 2011), plant aspect (Laouali, 2014) and ASI, PHT, EHT, leaf rolling (Premlatha and Kalamani, 2010;Aminu and Izge, 2013;Aminu et al, 2014a;Murtadha et al, 2016). This indicated that these traits were highly influenced by environmental factors and there is adequate genetic variability among the inbred lines to allow good progress from selection for improvement in the traits (Badu-Apraku et al, 2011).…”

“…The results of seven traits corroborate the findings of Sharma et al (2004) and Aminu and Izge (2013) who found the predominance of additive genetic effects in maize traits control. However, these results are in disagreement with the findings of other researchers such as Abdel-Moneam et al (2009), Machado et al (2009), Aminu et al (2014a and Murtadha et al (2016) who reported the predominance of non-additive gene effects for DT 50%, DS 50%, ASI, leaf rolling, PHT, EHT and GY. For grain yield, results found in this study showed the predominance of SCA mean square over GCA mean square which indicates that nonadditive genetic action was more important than additive genetic action.…”

“…This exhibited that the potential performance of the inbreds and the F1 hybrids was affected by the frequency and the amount of water applied to each condition. Thus testing inbred lines (parents) under different environmental conditions will ensure selection of stable parents that can perform the potential of that environment (Machado et al, 2009;Murtadha et al, 2016) or interested in the influence of environment in phenotypic expression of traits (Bello and Olaoye, 2009;Murtadha et al, 2016). The predominance of GCA mean square over SCA mean square indicates that additive genetic action was more important than nonadditive genetic action.…”

Daya Gabung Inbrida Jagung Toleran Cekaman Kekeringan dan Nitrogen Rendah pada Pembentukan Varietas Hibrida

“…Y ijkl = μ + g i + g j + s ij + r ij + l k + b(l) lk + gl ik + gl jk + sl ijk + rl ijk +ei jkl (Murtadha et al 2016) Y ijkl = nilai pengamatan dari setiap unit μ = nilai rata-rata umum g i = pengaruh DGU tetua I g j = pengaruh DGU tetua j s ij = pengaruh DGK F1 antara tetua ij r ij = pengaruh DGK F1 resiprok antara tetua ij l k = pengaruh lokasi k b(l) lk = pengaruh ulangan l dalam lokasi k gl ik = pengaruh interaksi DGU x L tetua i pada lokasi k gl jk = pengaruh interaksi DGU x L tetua j pada lokasi k sl ijk = pengaruh interaksi DGK x L F1 antara tetua ij pada lokasi k rl ijk = pengaruh interaksi DGK x L F1 resiprok antara tetua ij pada lokasi k ei jkl = pengaruh galat Analisis gabungan untuk mengetahui pengaruh DGK dan DGU pada kondisi cekaman kekeringan, N rendah, dan normal menggunakan program The SAS System for Windows 9.1 dengan prosedur PROC SQ1 macro pro (Zhang et al 2005).…”