Combined selection for adaptability, genotypic stability and cowpea yield from mixed models

Cruz, Derivaldo Pureza da; Gravina, Geraldo de Amaral; Vivas, Marcelo; Entringer, Geovana Cremonini; Souza, Yure Pequeno de; Rocha, Richardson Sales; Jaeggi, Mário Euclides Pechara da Costa; Albuquerque, Dalcirlei Pinheiro; Amaral, Antônio Teixeira do; Gravina, Lília Marques; Rocha, M. de M.; Silva, Rita de Kássia Guarnier da

doi:10.1590/0103-8478cr20200540

Cited by 7 publications

(6 citation statements)

References 22 publications

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“…The environments presented showed a complex interaction (Table 3), in which the ranking of the genotypes changed when they were grown in different environments. These results support the predominance of the complex component of the GxY interaction in cowpea, as identified by Cruz et al (2021) and Angelini et al (2019).…”

Section: Resultssupporting

confidence: 84%

Adaptability and yield stability of cowpea genotypes in Mato Grosso do Sul

Arguelho,

Silva,

Teodoro

et al. 2023

Crop Breed. Appl. Biotechnol.

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The objective of this study was to identify cowpea genotypes that fulfill the criteria of high grain yield, adaptability, and stability in the Mato Grosso do Sul (MS) region. Yield data from Value for Cultivation and Use (VCU) trials conducted in the municipalities of Dourados and Aquidauana/MS from March to August 2017 and 2018 were used, totaling four environments. A randomized block design with 14 treatments and four repetitions was adopted. Yield was evaluated by weighing the grains from the usable plot and converting the values to kilogram per hectare. After the analysis of variance, the interaction between genotypes and environments was evaluated by the methodologies of adaptability-stability analysis of Eberhart and Russell, Lin and Binns modified by Carneiro and GGE-Biplot. The genotypes Pingo-de-ouro 1-5-7, Pingo-de-ouro 1-5-5 and Bico-de-ouro 1-5-24 are stable, adaptable and productive for the state according to the complementary use of the methods.

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Section: Resultssupporting

confidence: 84%

Adaptability and yield stability of cowpea genotypes in Mato Grosso do Sul

Arguelho,

Silva,

Teodoro

et al. 2023

Crop Breed. Appl. Biotechnol.

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“…Complex genotype x environment interactions are more challenging for breeders (Evangelista et al, 2021) as they make broader recommendations difficult. Due to these interactions, the analyses of adaptability and stability are even more important for selecting and recommending the evaluated strains more precisely (Cruz et al, 2021). The GGE Biplot method becomes highly relevant in these cases, as it affords greater precision when making the selection (Cruz et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

“…rainfed or irrigated, must be taken into account, as each provides the genotypes with diff erent environmental conditions, while the yield of the species is highly infl uenced by the water regime (D ̈Zdemir;Ünlükara;Kurunc, 2009). To obtain information about the behaviour of the genotypes in each environment and continue to meet market demand, it is essential to select strains that are highly adaptable and stable in the main production areas and principal cultivation systems (Alves et al, 2020;Cruz et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Recommendation of cowpea genotypes based on adaptability, stability and grain darkening

Araújo,

Tomaz,

Freitas

et al. 2025

RCA

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ABSTRA CT -The cowpea is a legume that is widely grown in the north-east of Brazil, and which has been gaining ground in other regions of the country. The main producer is the state of Ceará, with a large planted-area, albeit low productivity due to a lack of producer technology and adapted cultivars. The aim of this study was to identify and recommend superior genotypes in terms of adaptability and stability under rainfed and irrigated conditions, in addition to genotypes with reduced grain darkening. To this end, six experiments were conducted in diff erent districts of Ceará (Crato, Pentecoste, Crateús, Madalena, Bela Cruz and Limoeiro do Norte) and one laboratory experiment, to evaluate grain darkening. The experimental design of the fi eld trials was of randomised blocks, with 14 genotypes and 4 replications. The analysis of variance showed a signifi cant eff ect from the genotypes and environments and their interaction, so GGE Biplot analysis was carried out to evaluate adaptability and stability. To evaluate grain darkening, a completely randomised design was used in a simple factorial scheme with six previously selected genotypes and five different storage times (0, 2, 4, 6 and 8 months). There was a signifi cant eff ect from the genotypes and storage time. Genotype 1 showed the least darkening, and can be recommended for environments to which it is best adapted (Crato and Crateús). Genotype 9 was considered the most stable for grain yield, and can be more broadly recommended for the semi-arid region of the state of Ceará.

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“…Plant breeding programs require the use of precise selection methods; therefore, the REML/BLUP mixed model methodology presents a great tool for selecting genotypes for traits highly influenced by the environment. This approach has been increasingly used in breeding programs of several crops, namely sugar cane (Gonçalves et al, 2014), papaya (Cortes et al, 2019), passion fruit (Silva et al, 2017), guava (Gomes et al, 2017), corn (Vittorazzi et al, 2017), and cowpea (Cruz et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models

Vidal

Daher

Ambrósio

et al. 2023

Sci. agric. (Piracicaba, Braz.)

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The mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in elephant grass breeding programs for bioenergy production.

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Combined selection for adaptability, genotypic stability and cowpea yield from mixed models

Cited by 7 publications

References 22 publications

Adaptability and yield stability of cowpea genotypes in Mato Grosso do Sul

Adaptability and yield stability of cowpea genotypes in Mato Grosso do Sul

Recommendation of cowpea genotypes based on adaptability, stability and grain darkening

Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models

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