scholarly journals Combining ability of maize inbred lines evaluated in three environments in Brazil

2000 ◽  
Vol 57 (1) ◽  
pp. 129-134 ◽  
Author(s):  
Luciano Lourenço Nass ◽  
Marlene Lima ◽  
Roland Vencovsky ◽  
Paulo Boller Gallo

For tropical areas like Brazil, genotype x environment interaction is an important source of variation. Our objectives were to examine the combining abilities and their interaction with environments in ten selected maize (Zea mays L.) inbred lines in diallel crosses and to identify candidates for promising hybrid combinations. Crosses and checks were evaluated through a 7 x 7 triple lattice design at three locations during the 1984/85 season. Several agronomic traits were evaluated, but here only data on ear yield are discussed. Yield data were adjusted for stand variation (correction to 50 plants per plot) and grain moisture (15.5%). Data for ear yield were analysed using an adaptation of Griffing’s method IV for complete diallel crosses, and experiments were repeated in several environments. The means of the crosses over all environments ranged from 6.6 t/ha to 10.3 t/ha. The combining ability analysis of diallel data across environments showed highly significant (P<0.01) effects for environment, general combining ability (GCA), specific combining ability (SCA), and GCA x environment interaction. The SCA x environment interaction was not significant. Results showed that both GCA and SCA were important for this diallel cross. Considering the 13 hybrids that showed higher yields than the commercial hybrid controls, contributions by GCA and SCA effects were 56% and 44%, respectively. On the other hand, selecting only the best five hybrids, SCA effects were always more important than GCA effects for each environment and over all environments.

2021 ◽  
Vol 4 (3) ◽  
pp. 286-304
Author(s):  
Lemi Mideksa Yadesa ◽  
Sentayehu Alamerew ◽  
Berhanu Tadesse

In spite of the importance of quality protein maize to alleviate protein deficiency, almost all maize varieties cultivated in Ethiopia are normal maize varieties, which are devoid of lysine and tryptophan. Perusing the combining ability of QPM inbred for grain yield and its components is vital to design appropriate breeding strategies for the development of nutritionally enhanced maize cultivars. A line x tester analysis involving 36 crosses generated by crossing 9  elite maize inbred lines with 4 testers were evaluated for different desirable agronomic traits during the 2019 main season at BNMRC and JARC. The experiment was conducted using alpha lattice design with 3 replications. The objectives were to determine the combining ability of quality protein maize inbred lines, adapted to mid altitude agroecology of Ethiopia for agronomic traits. The crosses were evaluated in alpha lattice design replicated 3 times. Analyses of variances showed significant mean squares due to crosses for almost all the traits studied. GCA mean squares due to lines and testers were significant (P<0.05 or P<0.01) for most studied traits. SCA mean squares were also significant for most attributes across locations. The comparative importance of GCA and SCA variances observed in the current study for most studied traits indicated the preponderance of additive genetic variance in governing these attributes. Only L3 was the best general combiner for grain yield. Inbred line L3, for days to anthesis and L5 for days to silking had negative and significant GCA effects. L5 and L6 displayed negative and significant GCA effects for plant and ear height. Crosses, L2xT4, L3xT4, L4xT4, L5xT2, L6xT3, L7xT2, L9xT1 and L9xT4 were good specific combiners for grain yield. In general, these genotypes help as a source of promising alleles that could be used for forthcoming breeding work in the development of quality protein maize cultivars with desirable traits.


1966 ◽  
Vol 19 (6) ◽  
pp. 1061 ◽  
Author(s):  
EJ Eisen ◽  
BB Bohren ◽  
HE Mckean

The diallel cross has been used frequently in plant experiments to partition the genetic variation into general and specific combining abilities of inbred lines. The statistical models developed for analysis of diallel crosses in plants have been used in a number of studies of diallel crosses in mammals and poultry, without due consideration to the presence and effect of the sex chromosomes.


2011 ◽  
Vol 62 (2) ◽  
pp. 169 ◽  
Author(s):  
Peyman Sharifi ◽  
Mohammad Reza Safari Motlagh

This paper reports analysis of 7 × 7 diallel crosses using a genotype main effect plus genotype-by-environment interaction biplot for determining cold tolerance at the germination stage in rice. ANOVA indicated that there were highly significant differences among the replications, genotypes, general combining ability (GCA) and specific combining ability (SCA) for percentage of reduction in radicle length (RL), coleoptile length (CL) and germination percentage (GP). The hybrid Neda × Hassani had the highest mid-parent heterosis for RL, CL and GP (–58.84, –68.47 and –80.77%, respectively). This result indicated that the reduction of three traits in crosses of Neda × Hassani was lower than their parents. The graphical representation by biplot analysis allowed a rapid and effective overview of GCA and reveals that Deilamani was an ideal general combiner for all traits and this parent is a superior variety for these three traits. Three potential heterotic groups are suggested for RL reduction. Four potential heterotic groups were identified for the two other traits, in the biplot. The first two principal component (PC) axes in the biplot for reduction in GP explained 85% of the variation with first and second principal components (PC1 and PC2, respectively). An important inference that can be drawn from these results is that cross combinations involving Hassani and Deilamani as one of the parents recorded desirable SCA effects for all or most of the studied traits. The information obtained from this experiment can facilitate the identification of hybrids that combine cold resistance traits in rice.


2021 ◽  
Vol 12 (11) ◽  
pp. 1205-1211
Author(s):  
M. E. M. Abd El-Azeem ◽  
RIZK ALY ◽  
W. M. El Sayed ◽  
Noura Hassan

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