Genetic parameters and agronomic evaluation of cassava genotypes

Silva, Rodrigo de Souza; Moura, Elisa Ferreira; Neto, J. T. de Farias; Sampaio, José Edson

doi:10.1590/s0100-204x2016000700006

Cited by 8 publications

(5 citation statements)

References 18 publications

(35 reference statements)

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“…The heritability estimates recorded in our study also indicate a good repeatability and reproducibility of the experimental procedures. The heritability estimates we found are comparable to those previously reported in other studies for these traits (Oliveira et al 2014 , 2015 ; Njoku et al 2015 ; Silva et al 2016 ; Favour et al 2017 ; Rao et al 2018 ).…”

Section: Discussionsupporting

confidence: 91%

Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava

et al. 2020

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Key message More than 40 QTLs associated with 14 stress-related, quality and agro-morphological traits were identified. A catalogue of favourable SNP markers for MAS and a list of candidate genes are provided. Abstract Cassava (Manihot esculenta) is one of the most important starchy root crops in the tropics due to its adaptation to marginal environments. Genetic progress in this clonally propagated crop can be accelerated through the discovery of markers and candidate genes that could be used in cassava breeding programs. We carried out a genome-wide association study (GWAS) using a panel of 5130 clones developed at the International Institute of Tropical Agriculture—Nigeria. The population was genotyped at more than 100,000 SNP markers via genotyping-by-sequencing (GBS). Genomic regions underlying genetic variation for 14 traits classified broadly into four categories: biotic stress (cassava mosaic disease and cassava green mite severity); quality (dry matter content and carotenoid content) and plant agronomy (harvest index and plant type) were investigated. We also included several agro-morphological traits related to leaves, stems and roots with high heritability. In total, 41 significant associations were uncovered. While some of the identified loci matched with those previously reported, we present additional association signals for the traits. We provide a catalogue of favourable alleles at the most significant SNP for each trait-locus combination and candidate genes occurring within the GWAS hits. These resources provide a foundation for the development of markers that could be used in cassava breeding programs and candidate genes for functional validation.

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Section: Discussionsupporting

confidence: 91%

Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava

et al. 2020

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“…(2019), Silva et al. (2016), and Avijala et al. (2015) found moderate but significant correlations between these yield traits ranging from r = .33 to r = .43, suggesting that root number per plant and harvest index could be used as a complementary trait for root weight to select for fresh root yield.…”

Section: Discussionmentioning

confidence: 96%

“…According to Resende (2002), selective accuracy can range from 0 to 1, classified as very high (SA prog ≥ 0.90), high (0.70 ≤ SA prog ≤ 0.90), moderate (0.50 ≤ SA prog ≤ 0.70), and low (SA prog < 0.50). Root weight and CMD foliar symptoms at 6 and 9 MAP had very high selection accuracy (≥0.92), indicating high precision and selectiveness (Silva et al., 2016). Cassava mosaic disease foliar symptoms at 3 MAP, CBSD foliar symptoms at 6 MAP, root necrosis, root necrosis incidence, root number per plant, and harvest index had high selection accuracy (0.70–0.89), indicating high precision and medium selectiveness.…”

Section: Discussionmentioning

confidence: 99%

“…Selection accuracy can be used to rank genotypes for selection and can inform about the efficacy of the genotypic values regarding genotype inference (Silva, Moura, de Farias Neto, & Sampaio, 2016). According to Resende (2002), selective accuracy can range from 0 to 1, classified as very high (SA prog ≥ 0.90), high (0.70 ≤ SA prog ≤ 0.90), moderate (0.50 ≤ SA prog ≤ 0.70), and low (SA prog < 0.50).…”

Section: Crop Sciencementioning

confidence: 99%

“…There was a moderate genetic correlation between root weight and root number per plant (r = .45) and between root weight and harvest index (r = .62). Ozimati et al (2019), Silva et al (2016), andAvijala et al (2015) found moderate but significant correlations between these yield traits ranging from r = .33 to r = .43, suggesting that root number per plant and harvest index could be used as a complementary trait for root weight to select for fresh root yield.…”

Section: Crop Sciencementioning

confidence: 99%

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Developing dual‐resistant cassava to the two major viral diseases

et al. 2021

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Cassava mosaic disease (CMD) and cassava brown streak disease (CBSD) are two important biotic constraints affecting cassava (Manihot esculenta Crantz) production in sub-Saharan Africa, and the deployment of cassava varieties dually resistant to both diseases is the most effective and realistic way of reducing losses. Crosses were carried out between a Tanzanian local cassava cultivar (Namikonga) and a South American cassava genotype (AR37-80) to develop dual-resistant progenies, and they were evaluated for two seasons at Naliendele in Southern Tanzania, which is a CMD and CBSD hot spot area. The CMD-resistant progenies had low foliar severities (≤1.8), similar to the CMD-resistant parent. The CBSD-resistant progenies had minimal foliar (≤2.0) and root necrosis (≤1.2) severities, similar to the CBSD resistant parent, whereas CBSD-tolerant progenies had severe foliar severities up to 3.3 but minimal root necrosis severities (≤1.2). Traits with minimal environmental influence also had high heritability (≥0.65) and high selection accuracy (≥0.70), and they included CMD foliar symptoms, CBSD foliar symptoms at 6 mo after planting, root necrosis, root necrosis incidence, root weight, root number per plant, and harvest index. Correlation analysis showed that the presence of disease reduces usable roots, root weight, root number per plant, and harvest index. Dual resistance can improve yield as observed in Namar 050 and Namar 371, which had high root weights of 27.5 and 28.2 t ha −1 with high genetic gains of 56.1 and 58.5%, respectively. Dualresistant progenies identified were Namar 050, Namar 100, Namar 130, Namar 200, Namar 334, Namar 371, and Namar 479, as they had minimal CMD and CBSD symptom severities (≤2.0) and could be used for breeding cassava varieties with superior characteristics.

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Prediction models and selection of agronomic and physiological traits for tolerance to water deficit in cassava

2019

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Genetic parameters and agronomic evaluation of cassava genotypes

Abstract: -The objective of this work was to estimate genetic parameters and predict genetic values for the selection of cassava (Manihot esculenta) genotypes in the state of Pará, Brazil. The trial was performed with 56 genotypes in two growing seasons

Cited by 8 publications

References 18 publications

Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava

Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava

Developing dual‐resistant cassava to the two major viral diseases

Prediction models and selection of agronomic and physiological traits for tolerance to water deficit in cassava

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