Determining the effect of genotype × environment interactions on grain yield and stability of hybrid maize cultivars under multiple environments in Ghana

Owusu, Godfred Afrifa; Nyadanu, Daniel; Owusu-Mensah, P.; Amoah, R. Adu; Amissah, Solomon; Danso, Frederick

doi:10.1016/j.egg.2018.07.002

Cited by 11 publications

(6 citation statements)

References 27 publications

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“…In the phenotypic indirect effects of the secondary chain, it is noted that most effects on EW occurred via PH in the secondary chain, and via PRO in the primary chain (Table 3). This corroborates with several studies that highlight plant height and prolificacy as essential traits in the combined selection for grain yield in maize (Owusu et al., 2018; Paterniani et al., 2015; Sangoi et al., 2010; Wang et al., 2016).…”

Section: Resultssupporting

confidence: 90%

Dealing with multiple traits in maize: A new approach for selecting progenies

et al. 2020

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Many maize (Zea mays L.) breeding programs select genotypes considering just grain yield. However, this strategy may not be efficient due to undesirable associations between grain yield and other traits. The breeder's challenge is to combine good characteristics in one genotype. The aim of this study was to propose a new approach to select maize progenies considering multiple traits. One hundred forty‐one half‐sib progenies were evaluated for 14 agronomic traits in a 12 by 12 triple lattice design in two environments. Four progeny selection strategies were performed to increase yield. Strategy 1, considering just yield; Strategy 2, considering all traits in a selection index; Strategy 3, considering only traits that have effect in yield, based on path analysis; and Strategy 4, similar to Strategy 3, but disregarding any trait showing undesirable correlation with other traits. Strategies 2, 3, and 4 considered Smith and Hazel index. The progenies selected by Strategy 4 showed more balanced predicted gains considering all traits. Its predicted gain in all traits related to yield was higher than the of Strategies 2 and 3, and it led to smaller gains in height and flowering time, which breeders want to decrease its means. Strategy 1 showed the best gains in yield, as expected, but obtained undesirable phenotypes for the other traits. The use of path analysis to delineate the Smith and Hazel index is a very appealing approach for selecting maize progenies and the Strategy 4 was the most efficient at accomplishing balanced gains for multiple traits.

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Section: Resultssupporting

confidence: 90%

Dealing with multiple traits in maize: A new approach for selecting progenies

et al. 2020

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“…The variable Rto denotes positive values and over one hundred percent for h and H, in all crosses, whose mean values were 252.10 % and 183.13 % respectively. This result is consistent with related research where heterosis percentages are considerably high (Makumbi et al, 2011;Owusu et al, 2018). The genotypes with highest h were LE 2x4 (454.43 %), LE 4x6 (440.73 %) and LE 4x5 (337.97 %), with H being between 5 and 35 % lower in the same genotypes.…”

Section: Heterosissupporting

confidence: 92%

“…Este resultado concuerda con investigaciones afines donde los porcentajes de heterosis son considerablemente altos (Makumbi et al, 2011;Owusu et al, 2018). Los genotipos de mayor h fueron LE 2x4 (454,43 %), LE 4x6 (440,73 %) y LE 4x5 (337,97 %), siendo H entre el 5 y 35 % inferiores en los mismos genotipos.…”

Section: García Et Al Issn 2477-9407unclassified

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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“…Genotype by environment interaction (G × E) usually refers to the differential response of genotypes for a given trait across environments and is considered an important source of year-to-year variation in crop yield (Owusua et al 2018;Seyouma et al 2019). Therefore, the most trustworthy approach to manage G × E interaction is the adoption of stable cultivars in a cropping system (Adeniyan et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Assessing yield stability in African yam bean (Sphenostylis stenocarpa) performance using year effect

Aremu

Ige

Ibirinde³

et al. 2020

Open Agriculture

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AbstractMaintaining yield stability in the African yam bean (AYB) (Sphenostylis stenocarpa) under year-to-year variability is crucial to its sustained productivity. Exploring yield stability in crops is vital in identifying how stable and consistent the yield of such crops is. Cultivation of AYB, an underutilized traditional legume in a specific environment, will further popularize the crop and enhance the acceptance as a cheap protein source thereby reducing hunger and malnutrition especially in regions where climate change has negatively affected legume crop production. Field trials were carried out to study the performance of 23 AYB genotypes in four-year environments. Two seeds of each genotype were sown in a single 5 m row plot spaced at 1 m between and within rows; the trial was conducted during the cropping season of 2011, 2012, 2013, and 2014 and was laid out in a randomized complete block design (RCBD) with three replications. At harvesting, five plants from each row were separately harvested; seeds of all the sampled plants in each plot were bulked and weighed, and the seed yield per plant was then determined. A combined analysis of variance (ANOVA) was performed to test for the significance of genotypes, year, and genotype by year interaction. Before combined ANOVA, a test for homogeneity of residual variances was performed using Bartlet’s test; stability of the genotypes over the years was ascertained numerically and graphically using additive main effects and multiplicative interaction and Genotype X Genotype X Environment interaction (GGE) biplot analyses. Rainfall distribution between 680 and 1,700 mm with an average temperature of 28.50°C under sandy-clay soil type supported high and stable seed yield production in AYB. This environment was found adequate during the 2014 (E1) growing season. Genotypes TSs118, TSs12, TSs109, TSs148, TSs5, TSs61, and TSs69 produced an above-average mean yield across the years and were found to be productive and stable in all the year environments. TSs82 and TSs6 with above-average mean seed and tuber yield can be considered for cultivation where seed and tuber dual-purpose production is to be maximized, while TSs111, TSs49, and TSs96 with high tuber yield ranking above average total tuber yield can be further enhanced for tuber production.

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Determining the effect of genotype × environment interactions on grain yield and stability of hybrid maize cultivars under multiple environments in Ghana

Cited by 11 publications

References 27 publications

Dealing with multiple traits in maize: A new approach for selecting progenies

Dealing with multiple traits in maize: A new approach for selecting progenies

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

Assessing yield stability in African yam bean (Sphenostylis stenocarpa) performance using year effect

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Determining the effect of genotype × environment interactions on grain yield and stability of hybrid maize cultivars under multiple environments in Ghana

Cited by 11 publications

References 27 publications

Dealing with multiple traits in maize: A new approach for selecting progenies

Dealing with multiple traits in maize: A new approach for selecting progenies

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

Assessing yield stability in African yam bean (Sphenostylis stenocarpa) performance using year effect

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Determining the effect of genotype × environment interactions on grain yield and stability of hybrid maize cultivars under multiple environments in Ghana