Genetic parameters and path analysis for root yield of cassava under drought and early harvest

Oliveira, Carlos Roberto Silva de; Borel, Jerônimo Constantino; Pereira, Daniel A.; Carvalho, Bruna Parente de; Medrado, Ericles da Silva; Ishikawa, Francine Hiromi; Oliveira, Eder Jorge de

doi:10.1590/1984-70332021v21n3a46

Cited by 8 publications

(8 citation statements)

References 28 publications

(30 reference statements)

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“…Thus, the effect of genotypes for RW observed in the present study may also have been influenced by the season of evaluation of this variable. The overall mean yield assessed in the test was significantly higher than values found by Oliveira et al (2021), thus indicating that the genotypes evaluated in the present study are well adapted to water stress conditions.…”

Section: Resultscontrasting

confidence: 64%

“…A similar response was found by Njoku and Mbah (2020) when investigating inter-relations between fresh root yield and thirteen quantitative traits related to the yield of recently developed cassava genotypes in southeast Nigeria. Oliveira et al (2021), when evaluating genetic parameters and the effects of different morphological traits on root yield by path analysis, observed a direct, positive effect of RD on RW and a positive correlation between these two variables. This result suggests that RW is a good predictor of the RD trait under water stress, enabling indirect selection for RD.…”

Section: Effectmentioning

confidence: 93%

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Early evaluation of genotype x harvest interactions in cassava crops under water stress

Vieira,

Oliveira,

Pereira

et al. 2024

Rev. Caatinga

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The aim of this study was to evaluate the effect of genotype x harvest interactions on different agronomic traits, the genetic correlation between traits in early selection under water stress, and early selection in cassava. 25 cassava genotypes were evaluated in a randomized block experimental design with four replications. The variables root weight (RW), root number per plant (RN), root diameter (RD), root length (RL), root dry matter content (DMC), stem number per plant (SN), plant height (PH), stem diameter (SD), mite severity (MS), and harvest index (HI) were evaluated under water stress conditions in two harvests. Broad-sense heritability (h²), realized heritability ( ( h R 2 )), and the index of coincidence (IC) were estimated. Accuracy estimates ranged from 0.62 for RL to 0.86 for DMC. A significant genotype effect was identified on all traits, except for RW, RL and SD. Significant genotype x harvest interactions occurred for the variables SN, PH, SD, and HI. (h²) estimates ranged from 0.27 for RL to 0.79 for SN. The estimates of the index of coincidence ranged from 100% to 25%. A positive correlation was observed between all variables under study, except for MS, RN and SN, and the other traits. The genotypes showed similar performance in the two harvests for most variables, except for SN, PH, SD, and HI.

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Section: Resultscontrasting

confidence: 64%

Section: Effectmentioning

confidence: 93%

Early evaluation of genotype x harvest interactions in cassava crops under water stress

Vieira,

Oliveira,

Pereira

et al. 2024

Rev. Caatinga

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“…The calculation of genetic parameters in quinoa has helped genetic improvement programs to be more successful in selecting superior genotypes, considering quantitative characteristics (Yadav 2021). In addition, the relationships between the genotypic coefficient of variation (CVg), environmental coefficient of variation (CVe), and heritability (ha 2 ) are parameters that measure data reliability and the success in selecting superior genotypes (Oliveira et al 2021, Santos et al 2023. The genotypic coefficient of variation is the proportionality of gain relative to the average, and therefore is expected to be higher than the environmental coefficient of variation (Amabile et al 2015).…”

Section: Resultsmentioning

confidence: 99%

Hybridization between progenies and agronomic characterization of the F2 generation in quinoa

Anchico-Jojoa,

Peixoto,

Spehar

2023

Crop Breed. Appl. Biotechnol.

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Quinoa is a self-pollinating species with very small flowers, which hinders efficiency in crossbreeding. Therefore, developing an efficient crossbreeding method should be considered an important step for breeding programs. In this regard, the objective of this study was to obtain hybrids, estimate the rate of natural hybridization, and estimate genetic parameters and agronomic characteristics of the F 2 generation. Crossbreeding assays were set up in three environments with four parents, using two methodologies, pot planting and field planting. Morphological markers were used to identify the hybrids, which were self-pollinated to obtain the F 2 generation. The results indicated that cross-pollination ranged from 3.81% to 19.88% depending on the planting methodology. The presence of pigmentation was dominant compared to its absence. The most prominent hybrid was obtained from the cross P88 x BX4, showing grain yield of 3000 kg ha -1 . Broad-sense heritability was identified with values exceeding 81.27% for all variables.

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“…Genotypic coefficient of variation (CV g ), environmental coefficient of variation (CV e ), and relative coefficient of variation (CV r ) and broad sense heritability were then estimated (Adjebeng-Danquah et al, 2017;Oliveira et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Genotypic variability and genetic parameters for root yield, dry matter and related traits of cassava in the Guinea Savannah ecological zone of Ghana

Adjebeng-Danquah,

Acheremu,

Chamba

et al. 2023

Arch. Agric. Environ. Sci.

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The aim of this study was to assess the agronomic performance and genetic parameters governing storage root yield and related traits in cassava genotypes in order to identify superior genotypes. The study involved 18 elite cassava genotypes which were arranged in a randomized complete block design with three replications and assessed for storage root yield and yield components (12 months after planting) in the Guinea savannah ecology of Ghana for three seasons. Analysis of variance indicated significant (p < 0.05) genotype and year main effects for fresh and dry root yields, dry matter content, starch yield and harvest index. Genotype × year effect was significant (p < 0.05) for fresh root yield, dry root yield and starch yield. Estimates of the variance components revealed greater genotypic influence for starch yield, fresh and dry root yields implying the potential for genetic gain with selection for these traits among the genotypes. Relatively high (69 %) broad sense heritability estimate was observed for dry storage root yield indicating the depth of genetic influence. Path coefficient analysis revealed a direct positive effect of dry matter content on dry storage root yield whilst dry storage root yield had direct positive effect on starch yield suggesting the possibility of indirect selection for starch yield through dry storage root yield. The study revealed ample genotypic variability among the cassava genotypes to warrant selection. Four genotypes, IBA 070134, IBA 419, IBA 950289 and IBA 980581 were identified for high and stable fresh and dry root yields for multilocational testing.

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Genetic parameters and path analysis for root yield of cassava under drought and early harvest

Cited by 8 publications

References 28 publications

Early evaluation of genotype x harvest interactions in cassava crops under water stress

Early evaluation of genotype x harvest interactions in cassava crops under water stress

Hybridization between progenies and agronomic characterization of the F2 generation in quinoa

Genotypic variability and genetic parameters for root yield, dry matter and related traits of cassava in the Guinea Savannah ecological zone of Ghana

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