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Showing 4 results for Khavari Khorasani
Pariya Dorri, Saeed Khavari Khorasani, Mahmood Vali Zadeh, Parisa Taheri,
Volume 1, Issue 2 (2-2015)
Abstract
Selection of breeding methods for plant genetic improvement largely depends on the genetic basis of selected traits. This research was carried out in order to study the genetic parameters of phenological and morphological traits , yield and yield components of maize using generation mean analysis of inbred lines derived from crosses KE72012 (P1) × K1263 / 1 (P2) inbred lines. This study was conducted at Torough Station of Khorasan Razavi Agriculture and Natural Resources Research Center, Mashhad, Iran, during 2012. Six maize generations include BC2, BC1, F2, F1, P2 and P1 was evaluated in a randomized complete block design (RCBD) with three replications. Analysis of variance showed higher dominance gene effects than additive effects. Average dominance gene effects (H / D) ½ in all measured traits, showed complete and over dominance gene effects indicating the importance of dominance effect in studied traits. A simple additive-dominance model performed using weighted least square analysis. Results showed not it’s adequacy for traits, indicating the importance of epistatic effects in controlling genetic variations. Broad sense heritability for all measured traits in crosses KE72012 (P1) × KE1263 / 1 (P2) ranged between 0.10 to 0.88 and the range of narrow sense heritability in this cross was between 0.02 to 0.59. Estimation of number of genes controlling grain yield showed that the one to five genes are involved in KE72012 (P1) × K1263 / 1 (P2).
Rasoul Banaei, Amin Baghizadeh, Saeid Khavari Khorasani,
Volume 3, Issue 1 (9-2016)
Abstract
In order to estimate the components of genetic variance and general and specific combining abilities of maize lines, an experiment was done using 8 S6 inbred lines as female parents and 2 male inbred lines as testers consisted of K1264/5-1 (early mature) and K3615/1 (late mature) using line by tester mating design based on randomized complete block design with three replications in two different conditions (Salt stress with Ec=5 dsm-1 and non-salt conditions) in research field of graduate university of advanced technology (Kerman, Iran) in 2014. Analysis of variance results showed significant differences among inbred lines for some of measured traits in both salt and non-salt conditions. Significant differences observed for line × tester mean-squares in non-salty condition for all measured traits except days to silking and physiological maturity. In salt stress condition, just for leaves number per plant and days to silking, line × tester effects were not significant. Additive variance for days to silking and physiological maturity in non-salt condition was more than dominant variance, therefore the additive to non-additive variance ratio was more than 1 and indicating emphasis on this matter too. Inbred line L6 had a significant positive GCA and the highest grain yield with 1455.785 and 789.107 kg/ha in non-salt and salt stress condition, respectively. The crosses (L4×T1=428.460 and L7×T1= 438,345) in non-salt condition and (L3×T1=438.345) in salt stress conditions had a positive significant specific combining ability. Finally, from all existed variation, the lines and line × tester effects were more important than tester effects that indicates transmission of diversity from lines to hybrids.
Saeed Khavari Khorasani, Abdonaser Mahdi Poor,
Volume 5, Issue 1 (9-2018)
Abstract
Selection based on proper selection indices can be one of the most effective methods for indirect selection of yield and yield components, simultaneously. In order to determination of selection index for improvement of maize yield, 60 single cross maize hybrids were planted in two separate experiments (drought stress and normal conditions) based on randomized complete block design (RCBD) with three replications in Torogh agricultural station of Khorasan Razavi agricultural and natural resources research and education center, Mashad, Iran in 2013-2014. Morphological and phenological traits, yield and yield components were recorded. Selection indices were calculated based on results of stepwise regression considering to phenotypc, genotypic and economic values. Based on stepwise regression results in normal condition, physiological maturity, plant height, kernel depth, kernel no./row and tassel length totally could explain 60.68 percent of gain yield variation, then these traits were used to calculate selection index. In drought stress condition, kernel no./row, plant height, ear height, 1000 kernel weight, ear length and leaves no. above ear could explain 63.77 percent of grain yield variation that these traits were used to calculate of selection index. We used 5 optimum selection indices (smith-hazel) and one basic selection index as Pesk-Baker to screen the maize genotypes. The results showed that the relative efficiency of selection index based on yield and expected genetic gain for all of measured traits in selection index 2 was higher than others in both normal and drought stress conditions. Based on grain yield and selection indices, 20 percent of the best genotypes were selected by each selection indices. Based on derived results in normal condition, genotype no. 60 (ksc704 commercial hybrid) were selected by all of selection indices as the best genotype, but in drought stress condition, different genotypes were selected by different selection indices like genotypes 16 (ME77006/1×K1263/1), 22 (ME77006/1×K1263/1) and 34 (ME78005/2× A679), that these genotypes at least were selected by 2 or 3 selection indices.
Ali Barzgari, Saeed Malekzade Shafaroudi, Saeed Khavari Khorasani, Farajollah Shahriari Ahmadi,
Volume 8, Issue 2 (3-2022)
Abstract
In breeding programs determination of gene effects and general and specific combining ability for screening of test crosses is necessary. In order to estimate the genetic variance components and the general and specific combining ability of sweet corn lines, an experiment was conducted using 8 sweet corn S6 inbred lines (including 4 maternal and 4 paternal lines) by line × tester mating design in 2019, at the Agricultural and Natural Resources Research and Education Center of Khorasan Razavi Province, Mashhad, Iran. The obtained test cross hybrids were evaluated in a randomized complete block design with 3 replications in 2020. The results of line, tester and line × tester analysis for most of measured traits showed significant differences (p < 0.05). The σ2gca/σ2sca ratio for grain yield was equal to 0.1, showed that while both additive and dominance effects play a role in controlling this trait, but dominance effect was higher. The results for general combining ability of L3 and T1 lines showed positive and significant GCA effect for grain yield. Also, the specific combining ability of grain yield showed that T4 × L2, T1 × L3 and T3 × L1 had the highest SCA rate. In this study, in terms of grain yield, T1 × L3, T4 × L2 and T1 × L4 with 33.96, 30.47 and 27.85 tons per hectare had the highest green ear yield, respectively. These combinations can be as the hybrids with high yield potential in advanced breeding programs for release of new sweet corn varieties.
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