Environment effects for earliness and grain yield traits in <scp>F<sub>1</sub></scp> diallel populations of maize (<i>Zea mays</i> L.)

Ali, Sardar; Khan, Naqib Ullah; Khalil, Iftikhar Hussain; Iqbal, Muhammad; Gul, Samrin; Ahmed, Sheraz; Ali, Naushad; Sajjad, Mohammad; Afridi, Khilwat; Ali, Imtiaz; Khan, Shah Masaud

doi:10.1002/jsfa.8420

Cited by 5 publications

(14 citation statements)

References 20 publications

(45 reference statements)

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“…Analysis of variance By means of the combined analysis of variance (table 2), statistical differences were determined in years (A), for all variables (p≤0.01 and p≤0.05), except in AMz, this feature denotes the difference between years or campaigns considering an effect of the environment on experimentation (Hallauer et al, 2010;Maqbool et al, 2015;Ali et al, 2017). Genotypes had high significance (p≤0.01) in all variables, due to manifest genetic variability among them (Prasanna and Ratna, 2016).…”

Section: Resultsmentioning

confidence: 99%

“…En la experimentación de los cultivos, la forma habitual para evaluar los efectos incontrolables del ambiente es repetir el ensayo en varios sitios (Ali et al, 2017). El objetivo de esta investigación fue determinar la aptitud combinatoria general y específica y la heterosis en líneas endogámicas de maíz amarillo y sus cruzas para el rendimiento de grano, altura de planta y mazorca y días a la floración masculina y femenina con la finalidad de identificar aquellos con mejores resultados para el desarrollo de híbridos e identificar líneas endogámicas prometedoras.…”

Section: García Et Alunclassified

“…In culture experimentation, the usual way to assess the uncontrollable effects of the environment is to repeat the test at several sites (Ali et al, 2017). The objective of this research was to determine the general and specific combinatorial aptitude and heterosis in inbred lines of yellow corn and its crosses for the yield of grain, plant and cob height, and days to male and female flowering in order to identify those with better results for hybrid development and identifying promising inbred lines.…”

Section: Materiales Y Métodosmentioning

confidence: 99%

“…ISSN 2477-9407 diferencias estadísticas en años (A), para todas las variables (p≤0,01 y p≤0,05), excepto en AMz, esta particularidad denota la diferencia entre años o campañas considerando un efecto del ambiente en la experimentación (Hallauer et al, 2010;Maqbool et al, 2015;Ali et al, 2017). Los genotipos tuvieron alta significancia (p≤0,01) en todas las variables, debido a una manifiesta variabilidad genética entre ellas (Prasanna y Ratna, 2016).…”

Section: García Et Alunclassified

“…En la interacción genotipos x años, existió diferencias altamente significativas (p≤0,01), únicamente en DFm y DFf, por tanto, la expresión de estos caracteres fue diferente en las dos campañas y con suficiente variabilidad genética (Ali et al, 2017). En la interacción ACG x A y ACE x A, únicamente DFm y DFf, mostraron diferencias altamente significativas (p≤0,01), en las dos campañas del cultivo.…”

Section: García Et Alunclassified

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Combining ability and heterosis for yield, precocity and height in yellow maize genotypes

García-Mora

Chuquija²,

Torres

2020

RevFacAgron(LUZ)

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The objective of the present study was to determine the general combinatorial aptitude (GCA), specific combinatorial aptitude (SCA) and heterosis in inbred lines of yellow maize and its crosses for, the yield of grain, height of plant and ear and days to male and female flowering. Six inbred lines from CIMMYT, their direct crosses and four controls were evaluated at UNALM during 2016-2018, under a 5 x 5 lattice design with four repetitions. The effects of GCA and SCA were calculated using method II, model I of Griffing. Heterosis was measured based on the mean and best parent. Heterosis was measured based on the mean and best parent. The combined analysis of years showed significance (p ≤ 0.01) in: genotypes by years for days to male and female flowering; GCA for years for days to male flowering and SCA for years for days to female flowering. The effects of ACG for grain yield were significant in lines CML 229 and CML 428, for plant height, precocity, ear and precocity CML 487 line highlighted. The effect of ACE was superior in the cross CML 453 x CML 486 for the grain yield character. Heterosis was higher for the grain yield in the CML 229 x CML 453 and CML 453 x CML 487 crosses. The GCA / SCA relationship evidenced effects of additive genes on plant height, days to male and female flowering, therefore, for grain yield and ear height, non-additive effects governed.

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Section: Resultsmentioning

confidence: 99%

Section: García Et Alunclassified

Section: Materiales Y Métodosmentioning

confidence: 99%

Section: García Et Alunclassified

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Combining ability and heterosis for yield, precocity and height in yellow maize genotypes

García-Mora

Chuquija²,

Torres

2020

RevFacAgron(LUZ)

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Using of GGE biplot in determination of genetic structure and heterotic groups in wheat (Triticum aestivum L.)

et al. 2021

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The present study was undertaken to analyze diallel data using GGE biplot model to gather information about genetic interrelationships among parents and identiﬁcation of heterotic combinations for yield and yield components in bread wheat varieties. For this purpose, 8 bread wheat genotypes tested across in half-diallel crosses design, GGE biplot technique was used. Parents included the genotypes of Kouhdasht, Karim, Ehsan, Mehregan, N-92-9, Line 17, N80-19 and Atrak. The hybrids obtained from the one-way cross (28 hybrids) in agricultural years of 2016-17 were evaluated as randomized complete block design in two replications on the research farm of Gonbad Kavous University. The evaluated traits included the grain yield, weight of spike grains, number of grains in spike and number of spikes. Additive main eﬀects and genotype × environment interaction (GGE) were employed in the evaluation of genotypes; analyses showed signiﬁcant (P< 0.01) G × E, (genotype × environment interaction) with respect to plant seed yield. GGE biplot analysis showed that Karim was as the best general combiners for grain yield, number grain per spike and grain weight per spike, whereas Ehsan had the highest GCA eﬀects for number of spikes. Ehsan and Karim had higher speciﬁc combining ability than other genotypes. The studied genotypes for this trait were divided into two heterotic groups where the ﬁrst group included the genotypes of Kouhdasht, N-92-9, N80-19 and Atrak and the second group contained the genotypes of Line 17, Mehregan and Karim. Mehregan line had a weak combining ability with all testers and N-92-9 had also more power than others. Based on the biplot, the Karim genotype with high general adaptation was introduced as the ideal genotype in terms of grain yield, spike number, grain number per spike and grain weight, so the Karim genotype can be adapted to obtain high yield hybrids.

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A Study on Genotype-by-Environment Interaction Analysis for Agronomic Traits of Maize Genotypes Across Huang-Huai-Hai Region in China

Yue¹,

Wei²,

Xie³

et al. 2022

Phyton

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Facing the trend of increasing population, how to increase maize grain yield is a very important issue to ensure food security. In this study, 28 nationally approved maize hybrids were evaluated across 24 different climatic conditions for two consecutive years (2018)(2019). The purpose of this study was to select high-yield with stable genotypes and identify important agronomic traits for maize breeding program improvement. The results of this study showed that the genotype Â environment interaction effects of the 12 evaluated agronomic traits was highly significant (P < 0.001). We introduced a novel multi-trait genotype-ideotype distance index (MGIDI) to select genotypes based on multiple agronomic traits. The selection process exhibited by this method is unique and easy to understand, so the MGIDI index will have more and more important applications in future multi-environment trials (METs) research. The genotypes selected by the MGIDI index were G22, G10, G12 and G1 as the high yielding and stable genotypes. The parents of these selected genotypes have the ability to play a greater role as the basic germplasm in the breeding process. A new form of genotype (G) main effects and genotype (G) -by-environment (E) interaction (GGE) technician, genotype Ã yield Ã trait (GYT) biplot, based on multiple traits for genotypes selection was also applied in this study. The GYT biplot ranked genotypes by combining grain yield with other evaluated agronomic traits, and displayed the distribution of their traits, namely strengths and weaknesses.

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Environment effects for earliness and grain yield traits in F₁ diallel populations of maize (Zea mays L.)

Abstract: Overall, maize genotypes showed early maturity in plain areas (CCRI and Haripur) but higher yield in hilly areas (Mansehra and Swat). © 2017 Society of Chemical Industry.

Cited by 5 publications

References 20 publications

Combining ability and heterosis for yield, precocity and height in yellow maize genotypes

Combining ability and heterosis for yield, precocity and height in yellow maize genotypes

Using of GGE biplot in determination of genetic structure and heterotic groups in wheat (Triticum aestivum L.)

A Study on Genotype-by-Environment Interaction Analysis for Agronomic Traits of Maize Genotypes Across Huang-Huai-Hai Region in China

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Environment effects for earliness and grain yield traits in F1 diallel populations of maize (Zea mays L.)

Abstract: Overall, maize genotypes showed early maturity in plain areas (CCRI and Haripur) but higher yield in hilly areas (Mansehra and Swat). © 2017 Society of Chemical Industry.

Cited by 5 publications

References 20 publications

Combining ability and heterosis for yield, precocity and height in yellow maize genotypes

Combining ability and heterosis for yield, precocity and height in yellow maize genotypes

Using of GGE biplot in determination of genetic structure and heterotic groups in wheat (Triticum aestivum L.)

A Study on Genotype-by-Environment Interaction Analysis for Agronomic Traits of Maize Genotypes Across Huang-Huai-Hai Region in China

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Environment effects for earliness and grain yield traits in F₁ diallel populations of maize (Zea mays L.)