Genetic Variability and Selection of Extra-Early Cowpea Progenies

Neto, Antônio Moreira Barroso; Matos, Renata Fernandes de; Pinheiro, Marcelo de Sousa; Bertini, Cândida Hermínia Campos de Magalhães; DoVale, Júlio César

doi:10.1590/1983-21252017v30n318rc

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…This result is important since high experimental precisions make the selection process of superior individuals reliable. Barroso Neto et al (2017) reported similar values while evaluating 62 cowpea genotypes with a simple inflorescence in the municipality of Marco, in the state of Ceará, Brazil.…”

Section: Gradementioning

confidence: 58%

Agronomic and commercial potential of compound-inflorescence cowpea lines

Aragão

Araújo

Santos

et al. 2022

Pesq. agropec. bras.

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The objective of this work was to select cowpea lines with compound inflorescences that show a high potential to generate the first commercial cultivar with this characteristic in Brazil. Thirty-seven lines were evaluated in a randomized complete block design, with two replicates, in 2021, in the municipality of Teresina, in the state of Piauí. The following traits were evaluated: number of days to the onset of flowering, plant size, commercial grain quality, number of grains per pod, weight of 100 grains, and grain yield. Deviance analyzes were performed by the restricted maximum likelihood/ best unbiased linear predictor methodology, and the values and genetic parameters necessary to carry out simultaneous selection were estimated based on the rank sum index. A statistical difference was detected between the lines evaluated by the likelihood ratio test (LRT). In general, genetic variance was the largest component of phenotypic variance for the evaluated traits. The ten most promising cowpea lines with compound inflorescences are: MNC15-33E-123, MNC15-33E-178, MNC15-33E-222, MNC15-33E-171, MNC15-33E-232, MNC15-33E-223, MNC15-33E-219, MNC15-33E-183, MNC15-33E-91, and MNC15-33E-165. These lines were selected for the next selection stages and show a high potential to generate the first commercial cowpea cultivar with compound inflorescences in Brazil.

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Section: Gradementioning

confidence: 58%

Agronomic and commercial potential of compound-inflorescence cowpea lines

Aragão

Araújo

Santos

et al. 2022

Pesq. agropec. bras.

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“…Moura et al (2012), also found a negative correlation between cowpea yield and the protein, zinc and iron content. According to Barroso Neto et al (2017), as it is a quantitative characteristic with polygenic inheritance, a great variation in grain yield is expected which is greatly influenced by the environment. This may have contributed to the variation in TPC, as both are correlated.…”

Section: Characteristicmentioning

confidence: 99%

Influence of the environment and production components on the protein content of green cowpea grain

Araújo

Neto²,

Bertini³

et al. 2021

Revista Ciência Agronômica

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The protein content of the cowpea has proved to be very variable, especially of the green grain. The aim of this study, therefore, was to obtain information on the influence of the environment and genetic variability on the total protein content (TPC) of green cowpea grain, as well as to evaluate the effects of production components on this variable. Sixteen cowpea genotypes were evaluated in two environments (Pentecoste and Acaraú) in the state of Ceará, in a simple factorial scheme (16 x 2) for eight production components and protein content. The grain was collected while still green (after filling was complete -stage R5) and protein quantification was carried out using the Bradford method. Path analysis was performed in order to identify possible relationships between the agronomic variables and the protein content. There was a different response from the genotypes for each environment and in the interaction between genotype and environment. In Pentecoste, the MNC00-303-09E strain was highlighted, with a TPC of 6.602%, while in Acaraú, the Paulistinha cultivar stood out with a TPC content of 15.154%. For the genotypes under evaluation, selection for total protein content should be made in Acaraú via direct selection of the green-pod-grain weight, 100-grain weight and green-pod weight, and in Pentecoste, via indirect selection of the green-pod weight and green-grain yield.

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“…Researches have been carried out for the selection of cowpea genotypes taking advantage of the variability of landrace cultivars and using analysis of variance models for data analysis (Miqueloni et al, 2018;Gomes et al, 2020), but are scare in the semiarid region of Piauí (Rocha et al, 2008(Rocha et al, , 2011. Barroso Neto et al (2017) highlighted that, together with the variability present in landrace cultivars, the use of methods with a better genetic prediction and accuracy can contribute to increasing the efficiency and genetic gain from selection.…”

Section: Introductionmentioning

confidence: 99%

“…Restricted maximum likelihood (REML) and best linear unbiased prediction (BLUP) are considered the most efficient methods for estimating variance components and predicting genetic values, respectively (Resende, 2016). Therefore, these methods have been used by cowpea breeders to investigate the effect of the genotype by environment interaction and the adaptability and stability of genotypes (Torres Filho et al, 2017;Sousa et al, 2019;Cruz et al, 2021), as well as in intermediate selection stages (Barroso Neto et al, 2017;Oliveira et al, 2017;Aragão et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Selection of superior cowpea lines derived from local cultivars for the Brazilian semiarid region

Lopes,

Aragão,

Damasceno-Silva

et al. 2023

Pesq. agropec. bras.

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The objective of this work was to select superior cowpea lines derived from local cultivars for the semiarid region of southeastern Piauí, Brazil. A total of 38 genotypes (36 lines and two commercial cultivars) were evaluated in a randomized complete block design, with two replicates, in the municipality of Ipiranga do Piauí, in the state of Piauí. The following traits were evaluated: number of days to the onset of flowering, pod length, number of grains per pod, weight of 100 grains, commercial grain quality, and grain yield. Deviance analyzes were performed using the restricted maximum likelihood and best unbiased predictor approach, the parameters and genetic values were estimated, and simultaneous selection was carried out via the sum of ranks index. The likelihood ratio test showed a significant difference between the evaluated genotypes. Lines 36, 5, 24, 8, 2, 23, 29, 28, 34, 6, 19, 11, 7, and 20 are superior for the set of evaluated traits and, therefore, are the most promising to compose the advanced trial of the cowpea breeding program and to generate cultivars for family farmers in the semiarid region of southeastern Piauí.

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Genetic Variability and Selection of Extra-Early Cowpea Progenies

Cited by 6 publications

References 18 publications

Agronomic and commercial potential of compound-inflorescence cowpea lines

Agronomic and commercial potential of compound-inflorescence cowpea lines

Influence of the environment and production components on the protein content of green cowpea grain

Selection of superior cowpea lines derived from local cultivars for the Brazilian semiarid region

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