GT biplot analysis for yield and drought related traits in mung bean (<i>Vigna radiata</i> L. Wilczek)

Paramesh, M.; Reddy, D. Mohan; Priya, M. Shanthi; Sumathi, P.; Sudhakar, P.; Reddy, K. H. P.

doi:10.5958/0975-928x.2016.00069.7

Cited by 25 publications

(18 citation statements)

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“…These results diverge from cowpea (Oladejo et al, 2011) and green bean (Singh et al, 2014) evaluations; however, traits related to seed yield were exclusive and each one of them regards significant and considerable information about cultivars and lines in the present study. Similar studies were found by Paramesh et al (2016), who reported that these results can be interpreted due to angle and size differences resulting from vectors associated with variables in the biplot. The mean number of pods is negatively correlated to the number of seed per pod, pod width and mean pod weight.…”

Section: Biplot Analysissupporting

confidence: 85%

Multivariate analysis used as a tool to select snap bean (Phaseolus vulgaris L.) genotypes

Oliveira¹,

Gravina²,

Oliveira³

et al. 2018

Aust J Crop Sci

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Snap bean is a popular and promising vegetable in Southeastern Brazil. The aim of the current study is to use the multivariate analysis as tool to select snap bean genotypes presenting desired agronomic traits. The study followed a randomized block experimental design, with 4 repetitions and 30 genotypes. The principal component and biplot analyses, as well as clustering, were conducted according to the UPGMA method in order to investigate the mean pod weight (MPW), number of seeds per pod (NSP), pod length (PL), pod width (PWi), total pods (MNP), weight of one hundred seeds (W100S), pod yield (PY) and grain yield (GY). The PL, NSP, MPW and W100S presented positive correlation with GY, besides their indication to direct genotype selection. The PWi and TP were efficient for PY selection. The multivariate analyses suggested the selection of lines UENF 7-10-1, UENF 7-12-1 and UENF 7-20-1, which presented good seed yield, as well as of UENF 14-22-3 and UENF 14-23-3, which showed aptitude to production. Lines located in Group II (UENF 14-4-3, UENF 15-6-4, UENF 7-4-1, UENF 7-9-1, UENF 7-7-1, UENF 7-5-1) did not have good performance in the measured traits and could be discarded. Line UENF 1445 "PARENT 19" proved its potential for seed yield, thus it was promising for the development of productive genotypes. Line 14-3-3 presented good aptitude for negatively correlated variables, because it associated good trait with morphology, seed yield, and pod and grain yield morphological traits.

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Section: Biplot Analysissupporting

confidence: 85%

Multivariate analysis used as a tool to select snap bean (Phaseolus vulgaris L.) genotypes

Oliveira¹,

Gravina²,

Oliveira³

et al. 2018

Aust J Crop Sci

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“…Studies about the adaptability and stability of different cultures based on biplot graphics corroborate the efficiency of the analysis to recommend genotypes and to group favorable and unfavorable environments (Silva et al 2011;Santos et al 2016;Paramesh et al 2016;Yokomizo et al 2017).…”

Section: Introductionmentioning

confidence: 85%

Hybrid maize selection through GGE biplot analysis

et al. 2019

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The cultivation of genotypes non-adapted to the cultivation region of interest is among the main factors responsible for low yield. The aim of the present study is to select hybrid maize through GGE biplot analysis and to assess its adaptability and stability in different environments in Northeastern Brazil. Twenty-five hybrid maize cultivars were assessed in ten different environments in Northeastern Brazil in 2012 and 2013 based on the randomized block design, with two replications. The analysis of variance and assessment of genotype adaptability and stability were made through GGE biplot analysis, based on grain yield. Analysis of variance results showed different performances depending on the genotype, as well as genotype/environment interaction. The biplot analysis

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“…Nevertheless, the GGE Biplot methodology is distinguished for being a versatile and flexible analysis allowing the selection of genotypes by means of graphical representations in an easy and efficient way (Badu-Apraku et al, 2012, Yan, 2014. The efficiency of this methodology in selecting genotypes with good adaptability and stability has been validated in different crops (Paramesh et al, 2016, Yokomizo et al, 2017, Oliveira et al, 2018. In view of that, this work intended to evaluate the adaptability and stability of early strains of 'Carioca' and black bean in Pernambuco State, Brazil.…”

Section: Introductionmentioning

confidence: 99%

Estimation of adaptability and stability of early strains of ‘Carioca’ and black beans (Phaseolus vulgaris) in Pernambuco State, Brazil

et al. 2020

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Low yields of early ‘Carioca’ and black bean varieties are a consequence of instability and low yield adaptability to specific growing environments. The goal of this work was to evaluate the genotype x environment interaction of early ‘Carioca’ and black bean new lines aiming at obtaining genotypes with high grain yield and good adaptability and stability. In (2012), 15 genotypes of the black group were evaluated in Ibimirim, Belém do São Francisco, and Petrolina municipalities, in Pernambuco State, Brazil; and, in (2016), 11 genotypes of early ‘Carioca’ bean were evaluated in Caruaru, Arcoverde, and Araripina municipalities, also in Pernambuco State. The experiment was conducted in a randomized block design with three replicates, and grain yield data were submitted to analysis of variance, in which means were compared by the Tukey’s test and analysis via GGE Biplot. In Arcoverde, the grain yield was greater for all early ‘Carioca’ bean genotypes, whereas, in the environment of Petrolina, there was the worst grain yield in kg ha-1 for all black bean genotypes, individually. The GGE Biplot methodology was found to be efficient in identifying genotypes with good adaptability, stability, and yield. Differences presented by the genotypes for the grain yield trait give the basis to recommend the genotypes and express the possibility of selection for genetic improvement of the species.

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GT biplot analysis for yield and drought related traits in mung bean (Vigna radiata L. Wilczek)

Cited by 25 publications

References 0 publications

Multivariate analysis used as a tool to select snap bean (Phaseolus vulgaris L.) genotypes

Multivariate analysis used as a tool to select snap bean (Phaseolus vulgaris L.) genotypes

Hybrid maize selection through GGE biplot analysis

Estimation of adaptability and stability of early strains of ‘Carioca’ and black beans (Phaseolus vulgaris) in Pernambuco State, Brazil

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