Estimation of Genetic Variability and Heritability for Yield and Its Related Components in Cassava (Manihot esculenta Crantz) Genotypes

Rao, B. Babu; Swami, D. V.; Ashok, P; Babu, B. Kalyana; Ramajayam, D.; Sasikala, K.

doi:10.20546/ijcmas.2018.706.034

Cited by 8 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…In general, the estimates of phenotypic coefficient of variation were higher than the genotypic coefficient of variation for the characters studied. Heritability estimates together with genetic advance are more important than heritability alone to predict the resulting effect of selecting the best individuals [40]. High heritability with high genetic advance indicates the preponderance of additive gene action and such characters could be improved through selection (Bartaula et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Genetic Analysis Of Seed Yield And Its Contributing Characters In F2 Population Of Soybean Genotypes, Glycine Max (L) Merrill Using Morphological and SNP Markers

OF¹

2022

Int J Agriculture Technology

View full text Add to dashboard Cite

This study was carried out on the genetic analysis of seed yield and its contributing characters in F2 population of soybean genotypes, Glycine max (l). Merrill genotypes using morphological and SNP markers. The aim of this study is to determine the extent of genetic variability for seed yield and its contributing characters among the F2 population of soybean genotypes and to determine quantitative trait loci (QTL) associated with seed yield in the soybean genotypes with a view of being utilized in soybean breeding programme. The field experiment was laid out in a randomized complete block design (RCBD) with three replications. Heritability in the broad sense ranged from 40.00% to 99.97% for number of seeds and number of pods respectively. The genetic advance mean ranged between 10.03 and 130.17 for days to maturity and seed yield respectively. Nine QTLs were identified (3 QTLs for days to flowering (DTF), 3 QTLs for days to maturity (DTM), 2 QTLs for total pod weight (TPW) and 1 QTL for seed yield (SYP)) and located on the linkage group A1 (chromosome 5). However, two stable QTLs for days to flowering (DTF) and days to maturity (DTM) and two novel QTLs for days to flowering (DTF) and total pod weight (TPW) were identified in the present study.

show abstract

“…However, linear correlation between a complex quantitative trait and its several component traits cannot provide clear and sufficient information for selection. This is because there are often indirect influences of one trait by another that reduces its actual contribution to the dependent trait (Gurmu et al., 2018; Rao et al., 2017; Nagarajan et al., 2015;2017; Khan & Dar, 2010; Sreckov et al., 2010). This means, caution must be exercised in the interpretation of the results as linear correlation coefficients alone may sometimes give misleading results because correlations between two variables could be due to a third factor that may not be quantified.…”

Section: Introductionmentioning

confidence: 99%

“…It is used to measure the direct effect of one variable on another and to separate the correlation coefficient into components of direct and indirect effects (Gurmu et al., 2018; Khan & Dar, 2010). Path analysis has been used to fix the most important components of quantitative traits like yield to aid effective selection for yield improvement in many crops including sweetpotato (Gurmu et al., 2018; Khan & Dar, 2010; Nagarajan et al., 2015; Rao et al., 2017; Sreckov et al., 2010).…”

Section: Introductionmentioning

confidence: 99%

Identification of the key morphological sweetpotato weevil resistance predictors in Ugandan sweetpotato genotypes using correlation and path‐coefficient analysis

et al. 2023

View full text Add to dashboard Cite

Sweetpotato weevils (SPWs) can cause up to 100% yield losses in sweetpotato (Ipomoea batatas). Nevertheless, there has been limited success in breeding for SPW resistance globally. This is attributed partly to difficulty in screening for resistance because resistance to the SPW is complex and is mediated by several resistance indicators. Measuring all these resistance indicators is costly and time consuming. To enhance efficiency in selection for SPW resistance, there is need to profile and identify key resistance indicators. Potentially, this will better enable breeders to timely and precisely select for SPW resistance. The objective of this study was to identify the most efficient morphological resistance indicators against SPW. Thirty sweetpotato genotypes that varied in resistance to SPW comprising local collections, released varieties, and breeding lines were evaluated at three locations for two seasons in Uganda using an alpha lattice design. Data were collected on storage root yield, SPW root and stem damage, and weevil resistance indicators such as vine vigor (VV), ground cover (GC), vine weight (VW), storage root neck length (NL), latex content, cortex thickness (CT), and dry matter content (DM). Genotype means for all measured traits varied significantly except for CT. Negative relationships were observed between SPW root damage and GC, VW, CT, VV, NL, and DM. However, path coefficient analysis showed storage root NL (direct effect of −0.43, p < 0.001

show abstract

Estimation of Genetic Variability and Heritability for Yield and Its Related Components in Cassava (Manihot esculenta Crantz) Genotypes

Cited by 8 publications

References 0 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

Genetic Analysis Of Seed Yield And Its Contributing Characters In F2 Population Of Soybean Genotypes, Glycine Max (L) Merrill Using Morphological and SNP Markers

Identification of the key morphological sweetpotato weevil resistance predictors in Ugandan sweetpotato genotypes using correlation and path‐coefficient analysis

Contact Info

Product

Resources

About