scholarly journals GENERATION MEAN ANALYSIS FOR ESTIMATION SOME GENETIC PARAMETERS FOR YILD AND YIELD COMPONENTS IN FOURE MAIZE CROSSES.

2016 ◽  
Vol 47 (1) ◽  
Author(s):  
B. H. Hadi
Keyword(s):  
Grain Yield ◽  
First Generation ◽  
Recurrent Selection ◽  
Unit Area ◽  
Block Design ◽  
Relative Magnitude ◽  
Hybrid Vigor ◽  
Reciprocal Recurrent Selection ◽  
Additive Gene ◽  
Dominance Variation

A field experiment was conducted at the field of Field Crop .Dept., College of Agric\Univ.of Baghdad. spring and fall seasons of 2009, 2010 , spring of 2011 and fall of 2013 in order to know the relative magnitude of the genetic variation component and interactions forms of epistasis using Generation Means Analysis  of maize (Zea mays L.) . Six generations P1 , P2 , F1 , F2, BC1 and BC2 for four crosses (FI01301 Rustico), (AntignaoHi39× Nostred ) , (Lo1391 ×Rustico) and ( Rusticocangini× Rustico) were  evaluated by using randomized complete block design( RCBD) with four replications for grain yield and its components. The results showed significant differences between the generations of the four crosses. The first generation superiority and gave the highest mean for each of the traits of four crosses. The highest hybrid vigor and heterosis percent to  for unit area  grain yield (ton\ha) 121.8% and 126.92% for cross( FI01301 ×Rustico ). Most of the genetic effects  (d additive , dominance h , additive  × additive  i , additive × dominance j and dominance × dominance l) were significant for all crosses . This revealed  the importance of the dominance, additive and epistasis effects as genetic actions   controlled  in yield  inheritance and its components in maize. But the dominance variation was more important than the additive variation in the ear length  ,grain weighte and yield unit area, disagreement signal indicate the existence of an act of the dominance h and dominance× dominance  l of most studied traits duplicate epistasis. Supplementary superiority also appeared to Epistasis complementary of crosses (FI01301×Rustico) and (AntignaoHi39×Nostred) and grain weight in cross (Lo1391 ×Rustico ). It can be conclude that the additive and  non-additive gene action control the in heritable yield and its component . It is recommend using the method of reciprocal  recurrent selection(RRS) to improve yield and its components .                                                                                                                                            

scholarly journals Selección para calidad fisiológica de la semilla y rendimiento en líneas S2 derivadas de cuatro poblaciones tropicales de maíz (Zea mays L.)

2016 ◽  
Vol 7 (1) ◽  
pp. 58
Author(s):  
Enrique Navarro ◽  
Cristina Vega ◽  
Fernando Narváez ◽  
Hugo Córdova
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Recurrent Selection ◽  
Zea Mays L ◽  
Agronomic Traits ◽  
Reciprocal Recurrent Selection ◽  
Laboratory Conditions ◽  
Flower Plant ◽  
Ear Height ◽  
Field And Laboratory Conditions

This study was carried out in 1993 to evaluate S2 lines from four maize tropical populations improved by reciprocal recurrent selection. These lines were evaluated under field and laboratory conditions, the latter one to determine physiology quality. The main goal was to measure genetic variability within and among populations for traits such as grain yield, vigor and germination and to select the best lines under field and laboratory conditions. The combined analysis of variance showed great genetic variability among the S2 lines within and among populations for grain yield, days to flower, plant and ear height, among others. The maximum genetic variability was observed on the lines from population 43 and pool 23 for most of the traits, although the latter showed a greater genetic variability for grain yield. Besides, it is important to mention that the above populations included the best genotypes for grain yield, germination and vigor. Taking into account the above mentionel agronomic traits, fifteen lines were selected; 2 belong to population 43* pool 20, 2 from pool 19* pool 23, 8 from population 43, and 3 from pool 23. These results confirm the genetic superiority of the lines from populations 43 and pool 23, so that these populations should be recommended for future genetic improvement by reciprocal recurrent procedures.

scholarly journals Identification of Heterotic Pairs by Full-Sib Reciprocal Recurrent Selection in Maize Synthetic Populations on Turda CompositeA(B)(2) x Turda CompositeB(A)(2)

2013 ◽  
Vol 70 (1) ◽  
pp. 208-213
Author(s):  
Andreea Daniela ONA ◽  
Ioan HAȘ ◽  
Ivan ILARIE ◽  
Voichița HAȘ ◽  
Nicolae TRITEAN ◽  
...  
Keyword(s):  
Recurrent Selection ◽  
Inbred Lines ◽  
Heterotic Group ◽  
Yield Potential ◽  
Reciprocal Recurrent Selection ◽  
Maize Breeding ◽  
Gene Effects ◽  
Synthetic Populations ◽  
Additive Gene ◽  
Selection Test

In the last 40 years, pre-breeding works induced, in more and more centers of maize breeding, full-sib reciprocal recurrent selection programmes to identify some heterotic pairs which can be sources for obtaining performance inbred lines. The aim is to identify the heterotic pairs with the best results according to the yield potential of maize, the breaking and falling resistance, and the grains moisture at the harvesting time. The creation programme of A and B composite population started at ARDS Turda in 1985. Inside of A composite came the next inbred lines: B73, A632, M117, TC209, T291, being from the B SSS heterotic group, and inside of B composite came the inbred lines Mo17, C103, TC 208, T248, W633, appreciated by us or being related to Lancaster Sure Crop heterotic group. The experimentation was done in two orientation comparative cultures, each one with 49 variants, in 4 repetitions; the comparative culture was a balanced quadratic grid of 7x7 type. From each culture were chosen the first six variants, which were evaluated according to the next characters: production potential, breaking and falling resistance, grains moisture at harvest. The presented results are a part from the second cycle of full-sib reciprocal recurrent selection. Test crosses and self-pollinations were made on plants from the two composites which had two cobs; on the first cob from A Composite realised the cross with the corresponding plant from the B Composite, and from the plant panicle of the B Composite was collected pollen to pollinate the chosen plant from the A Composite. At the both plants from the crossing, the second cob was self-pollinated and kept in reserve until 2010, when the test crosses was experimented and were selected the pairs with the best results according to the above characters. Using the full-sib reciprocal recurrent selection, we can successfully harnessing, simultaneously, the additive and non-additive gene effects.

Genetic Advance in Grain Yield and Other Traits in Two Tropical Maize Composites Developed via Reciprocal Recurrent Selection

Crop Science ◽  
2018 ◽  
Vol 58 (6) ◽  
pp. 2360-2369
Author(s):  
Adesike O. Kolawole ◽  
Abebe Menkir ◽  
Essie Blay ◽  
Kwadwo Ofori ◽  
Jennifer G. Kling
Keyword(s):  
Grain Yield ◽  
Recurrent Selection ◽  
Genetic Advance ◽  
Reciprocal Recurrent Selection ◽  
Tropical Maize

scholarly journals Combining ability and heterosis for fiber quality traits in cotton

2010 ◽  
Vol 62 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Yuksel Bolek ◽  
Hatice Cokkizgin ◽  
Adem Bardak
Keyword(s):  
Combining Ability ◽  
Recurrent Selection ◽  
Fiber Quality ◽  
Block Design ◽  
Short Fiber ◽  
Quality Traits ◽  
Gene Effects ◽  
Fiber Quality Traits ◽  
High Fiber ◽  
Additive Gene

Combining ability and heterosis for fiber quality traits in cotton Combining ability analysis and heterosis for cotton fiber quality traits were studied in a set of diallel crosses involving eight cotton (Gossypium sp.) genotypes. Randomized complete block design was used to test 56 F1 and 8 parents for fiber quality traits; length (Len), strength (Str), micronaire (Mic), uniformity (Unf), elongation (Elg), spinning consistency index (Sci) and short fiber index (Sfi). Analysis revealed significant general combining ability (GCA) and specific combining ability (SCA) effects for all the traits and additive gene effects were important in the inheritance of the traits. Giza-45 had the highest GCA effects for Len, Sci, Unf and Elg while Is-4 had the highest Str value. Mic and Sfi values were lowest for Askabat-100 and Giza-45, respectively. The cross Cukurova-1518 × 108-F and Nazilli-84S × Askabat-100 had the lowest SCA effects for Mic and Sfi, respectively. The highest values for Len (Askabat-100 × 108-F), for Str (Acala Prema × 108-F), for Sci (Is-4 × Giza-45), for Unf (Stoneville-453 × Askabat-100) and for Elg (108-F × Is-4) were also obtained. Hybridizations among Askabat-100 × Nazilli-84S, Is-4 × Giza-45, Askabat-100 × Stoneville-453, Askabat-100 × Giza-45, Is-4 × 108F, Giza-45 × 108F, Giza-45 × Acala Prema, Nazilli-84S × Giza-45, Is-4 × Nazilli-84S and Acala Prema × Askabat-100 crosses yielded the best heterosis and heterobeltiosis values. Aforementioned parents and crosses could be utilized for further selection of high fiber quality and applying 3-way crosses or modified backcross or recurrent selection to genotypes having good combining ability would improve fiber quality.

scholarly journals GENE ACTION AND COMBINING ABILITY STUDY IN SESAME

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mandakini Kabi ◽  
Bhabendra Baisakh ◽  
Manasi Dash ◽  
Swapan K Tripathy ◽  
S. Sahu ◽  
...  
Keyword(s):  
Seed Yield ◽  
Combining Ability ◽  
Seed Weight ◽  
Recurrent Selection ◽  
Gene Action ◽  
Reciprocal Recurrent Selection ◽  
Additive Variance ◽  
Plant Seeds ◽  
Additive Gene ◽  
100 Seed Weight

The study of gene action and combining ability have been conducted in 28 F1 cross combinations along with eight parents in 8x8 half-diallel scheme following Griffing’s Approach for 14 morphoeconomic traits including seed yield and oil content in sesame. The general combining ability (GCA) and specific combining ability (SCA) component of variation were significant for parents and crosses respectively for all characters except internode length for GCA indicating role of both additive and nonadditive gene action. However, higher proportion of SCA variance (?2 sca) than GCA variance (?2 gca) revealed preponderance of non-additive gene action for all characters except capsule length and capsule width under study. Further, variance due to dominance played a significant role than additive variance in all traits except capsule width and 100-seed weight. Nirmala is considered as the best general combiner owing to its higher estimate of gca effects for yield per plant, for days to maturity, plant height, branches per plant, capsules per plant, seeds per capsule, capsule length and 100-seed weight. Among cross combinations; Rama × GT-10, AT-382 × Krishna, AT-382 × Nirmala, Krishna × Nirmala, Krishna × Uma, Nirmala × Prachi and Prachi × Uma showed significantly higher sca effect for seed yield per plant in the desired direction indicating their merit for recovery of transgressive segregants for higher productivity following reciprocal recurrent selection.

scholarly journals Study of Combining Ability and Nature of Gene Action for Yield and Yield Related Traits in Maize (Zea mays L.)

2019 ◽  
pp. 1-8
Author(s):  
Birender Singh ◽  
Abhinav Abhishek ◽  
R. B. P. Nirala ◽  
S. S. Mandal ◽  
Tushar Ranjan
Keyword(s):  
Grain Yield ◽  
Zea Mays L ◽  
Gene Action ◽  
Block Design ◽  
Diallel Mating Design ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
Ear Height ◽  
The Mean ◽  
Half Diallel

The present investigation was carried out using thirty eight genotypes (eight parents, twenty eight F1's and two checks) using Griffing's half diallel mating design. The experiment was laid out in a randomized complete block design with three replications during kharif 2017 at the research farm of Bihar Agriculture College, Sabour. Observations were recorded for six pre-harvest characters viz days to 50% anthesis, days to 50% silking, anthesis silking interval, days to 75% brown husk, plant height, ear height and seven post-harvest characters viz cob length, cob diameter, number of kernel rows per cob, number of kernels per row, 1000 seed weight, shelling percentage and grain yield at 15% moisture. The mean sum of square of treatments was found to be significant for days to 75% brown husk and shelling per cent and highly significant for all other characters. The mean sum of square for GCA was found to be significant for cob length, no. of kernel row per cob, no. of kernels per row and highly significant for remaining all the characters except days to 75% brown husk and shelling%. The mean sum of square for SCA was significant for days to 75% brown husk and highly significant for all the remaining characters. On the basis of GCA effect for grain yield at 15% moisture, the parents BML-7, VQL-1 and SML-1 were found to be good general combiners. The ratio of GCA variance to SCA variance was found to be less than 1 for all the traits which indicated the preponderance of non-additive gene action. On the basis of SCA effects better performing crosses for grain yield at 15% moisture were DTPYC-9 × LM-13, CLQRCY-44 × VQL-1, CML-161 × SML-1 and CML-161× BML-7.

scholarly journals Genetic progress in maize from advanced cycles of reciprocal recurrent selection through REML/BLUP

2020 ◽  
pp. 1295-1301
Author(s):  
José Arantes Ferreira Júnior ◽  
Gabriel Moreno Bernardo Gonçalves ◽  
Jocarla Ambrosim Crevelari ◽  
Julio Cesar Fiorio Vettorazzi ◽  
Vivane Mirian Lanhellas Gonçalves ◽  
...  
Keyword(s):  
Grain Yield ◽  
Mixed Models ◽  
Variance Components ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Yield Potential ◽  
Reciprocal Recurrent Selection ◽  
Genetic Progress ◽  
Advanced Cycles ◽  
Selection Of

Breeding methods such as reciprocal recurrent selection (RRS) is very important alternative to breeders. This strategy, besides allowing continuous genetic progress, helps maintaining the genetic variability of populations. The aim of the present study was to estimate genetic parameters, as well as to predict selection gains in advanced cycles of reciprocal recurrent selection of maize progenies through mixed models. Two selection cycles were considered. We evaluated 196 and 169 progenies in the 15 and 16 cycles, respectively. The yield potential of the progenies was evaluated from the following characteristics: grain yield, number of ears, weight of ears and weight of 100 seeds. The estimate of variance components and the prediction of genetic values were based on the REML/BLUP method. Overall, the genetic parameters were increased in the 16th cycle estimates compared to the previous cycle. It is worth highlighting that heritability coefficient for the grain yield was (0.81) in the 16th cycle, since it resulted in 21% of selection gain. Results showed that, even after sixteen recurrent selection cycles, the populations under selection have high potential for satisfactory genetic gains.

scholarly journals Introgression of Temperate Material to Improve Grain Yield in a Tropical Maize Population

2021 ◽  
Vol 9 (4) ◽  
pp. 39-42
Author(s):  
Justin Abadassi ◽  
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Recurrent Selection ◽  
Block Design ◽  
Tropical Maize ◽  
Maize Population ◽  
Randomized Complete Block Design ◽  
Ear Height

The effect of introgression of the temperate maize population BUGARD on the grain yield of a low-yielding tropical maize population well appreciated for the quality of its grains, NCP80, was studied. NCP80 was crossed with BUGARD to obtain the F1. The BC1 obtained by backcrossing the F1 to NCP80 was random mated thrice. The tropical parent NCP80 and the BC1 (NBN) were evaluated in two tropical locations using a randomized complete block design with three replications. Introgression of the temperate population BUGARD into the tropical population NCP80 significantly increased grain yield. The resulting population, NBN, appeared, moreover, significantly earlier than NCP80 and not significantly different from it for resistance to rust, tropical blight and maize streak, ear height, husk cover and harvest index. NBN may, further, be improved for resistance to maize streak and grain yield by recurrent selection.

scholarly journals Performance of white oat cultivars in response to nitrogen fertilization and trinexapac-ethyl

2019 ◽  
Vol 40 (5Supl1) ◽  
pp. 2121
Author(s):  
José Henrique Bizzarri Bazzo ◽  
Carlos Roberto Riede ◽  
Klever Márcio Antunes Arruda ◽  
Carolina Pereira Cardoso ◽  
Isabela Franzoni ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Growth Regulator ◽  
Unit Area ◽  
Block Design ◽  
N Fertilization ◽  
Growth Retardant ◽  
Growth Environment ◽  
Randomized Block Design ◽  
Oat Cultivars

The application of N at the appropriate time and dose can increase oat crop efficiency by increasing grain yield through changes in production components. High doses of N, depending on the genotype and the environment, can result in plant lodging, which can be addressed with the use of growth retardants. The aim of this study was to evaluate the yield components, lodging, and productivity of white oat cultivars cultivated at two planting locations under different N levels with trinexapac-ethyl growth retardant. Two assays (with and without the application of the growth retardant agent) were used in the experiments, which were set up in the region of Londrina and Mauá da Serra, Parana State, Brazil, in a randomized block design with split plots and four replications. The plots consisted of four white oat cultivars (IPR Afrodite, IPR Artemis, URS Corona, and URS Guria) and the subplots of four doses of N (0, 30, 60, and 90 kg ha-1). Plant height, number of panicles per unit area, number of grains per panicle, thousand grain weight, lodging of plants, and grain yield were evaluated. For the conditions under which the experiments were conducted, the growth regulator decreased plant height and lodging. Furthermore, the growth regulator in combination with N topdressing increased the number of panicles per unit area. Thus, the increase in grain yield with the application of a growth retardant was dependent on the characteristics of the plant growth environment. The response of genotypes to N fertilization was also dependent on the soil and climatic characteristics of the environment.

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