Adaptation, diversity, and exploitation of global white lupin (Lupinus albus L.) landrace genetic resources

Annicchiarico, Paolo; Harzic, N.; Carroni, Antonio Melchiorre

doi:10.1016/j.fcr.2010.06.022

Cited by 68 publications

(69 citation statements)

References 27 publications

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“…Annicchiarico et al (2010) reported similar finding in white lupin accessions evaluated in Italy and France. The important question here is, which of the biplots should be chosen?…”

Section: Trait Relationships and Trait Profiles In White Lupin Landracessupporting

confidence: 71%

“…Number of branches on the main axis, hundred seed weight, number of seeds per pod and pods per plant, and pod length showed moderate heritability, which depicts considerable influence of environment on the expressions of these traits. Contrary to the current findings, Annicchiarico et al (2010) reported high broad sense heritability for seed weight in European white lupin genotypes. Heritability of pod diameter was zero for the comprehensive experiment, and low for the focused experiment, indicating the predominance of environmental effects more than that of genetic effects for the trait.…”

Section: Estimates Of Variance Components Heritability and Genetic Acontrasting

confidence: 55%

“…Several researchers studied the relationships among agronomic traits in white lupin (Annicchiarico et al, 2010;Gonzalez-Andres et al, 2007;Rubio et al, 2004). The results of these studies indicated that the relationships among white lupin traits are consistently influenced by the unpredictable conditions of the growing environments.…”

Section: Introductionmentioning

confidence: 99%

“…Of the studied traits, days to flowering and maturity, and grain yield consistently exhibited high heritability in both experiments. Annicchiarico et al (2010) reported high heritability for flowering time. High heritability indicates high proportion of genetic variance that could be inherited, and would be exploited by breeders to select superior genotypes based on phenotypic performance (Peter et al, 2008;Tazeen et al, 2009).…”

Section: Estimates Of Variance Components Heritability and Genetic Amentioning

confidence: 99%

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Genotype by trait biplot analysis to study associations and profiles of Ethiopian white lupin (Lupinus albus L.) landraces

Atnaf¹,

Tesfaye²,

Dagne³

et al. 2017

Aust J Crop Sci

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Limited information is available on trait relations and profiles of white lupin landraces in tropical growing conditions including Ethiopia. The objectives of this study were to understand the relationships among traits, and to document trait profile of Ethiopian white lupin landraces. As a component of this study, two sets of experiments were conducted. The first comprehensive experiment that consisted of 143 accessions collected from major lupin growing areas of Ethiopia was evaluated at Merawi and the second experiment that consisted of 12 selected accessions was evaluated across six locations. In both experiments, significant variations were observed among the accessions for most studied traits. Higher heritability and genetic advance as percent of mean was observed for grain yield, indicating the possibility of improving this trait through selection. Genotype by trait biplots captured 55% -66% of the variations due to genotype by trait interactions. Trait association and trait profile biplots were constructed for highland, mid altitude and low land environments, and across all locations. Different patterns of associations and genotype (accession) by trait interactions were observed in different environments. However, genotype by trait biplots consistently indicated that grain yield had positive associations with most of the traits; especially, with number of pods per plant, plant height and seeds per pod. The study identified some accession with desirable performances as good for specific trait and/or trait groups that could be considered as sources of genes for the traits they have best performed. G8 consistently showed higher grain yield, G2 had higher number of branches and higher number of seeds per plant, G7 had more number of pods per plant and larger seed size and G4 produced longer pods. The accessions used in this study were found to be useful sources for genetic variability for future breeding that targets to improve grain yield and other agronomic traits of white lupin in Ethiopia.

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“…Annicchiarico et al (2010) reported similar finding in white lupin accessions evaluated in Italy and France. The important question here is, which of the biplots should be chosen?…”

Section: Trait Relationships and Trait Profiles In White Lupin Landracessupporting

confidence: 71%

Section: Estimates Of Variance Components Heritability and Genetic Acontrasting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Section: Estimates Of Variance Components Heritability and Genetic Amentioning

confidence: 99%

See 2 more Smart Citations

Genotype by trait biplot analysis to study associations and profiles of Ethiopian white lupin (Lupinus albus L.) landraces

Atnaf¹,

Tesfaye²,

Dagne³

et al. 2017

Aust J Crop Sci

View full text Add to dashboard Cite

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“…também, gONZáLeZ-ANDRéS et al (2007) constataram ampla variabilidade genética entre 35 acessos de tremoço branco, em relação à produtividade e aos componentes de rendimento. Ainda, existência de diversidade e de adaptação diferenciada, entre 121 acessos mundiais de tremoço branco cultivados em três regiões agroclimáticas, foi constatada por ANNICCHIARICO et al (2010).…”

Section: Introductionunclassified

Tamanho de parcela para avaliar caracteres de tremoço branco em épocas de avaliação

et al. 2015

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AMMI and GGE biplot analysis for barley genotype yield performance and stability under multi environment condition in southern Ethiopia

Derbew,

Mekbib,

Lakew

et al. 2024

Agrosystems Geosci & Env

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Barley (Hordeum vulgare L.) is a major grain crop farmed in Ethiopia throughout the long rainy season (Meher) and the short rainy season (Belg) of the year. Barley genotypes were subjected to multi‐environment experiments in six different settings to identify stable genotypes and estimate the impact of genotype × environment interaction (GEI) on grain production. In each area, the field experiment was conducted from mid‐July to January during the primary cropping season of 2021. Three replications of a randomized complete block design were used to set up the trials. According to the additive main effects and multiplicative interaction (AMMI) study, genotype (18.19%), GEI (22.98%), and environment (58.83%) all had an impact on the major treatment sum of squares. The more variance attributed to the environments is a sign of environmental diversity. Given that the two interaction principal component analysis (IPCAs) accounted for 76.94% of the interaction sum of squares, they were sufficient for cross‐validation of the grain yield variance explained by GEI. In contrast to the GGE biplot approaches, which indicated genotypes G12, G3, and G9 as stable and high‐yielding genotypes throughout the environments, the AMMI stability value identified genotypes G3, G12, and G9 as high yielding with stable performance across environments. In general, the GGE biplot and AMMI analysis models demonstrated that genotypes G12, G3, and G9 were stable and yielded well, making G3 acceptable for cultivation in a wider range of environments and G12 and G9 suitable for release.

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Adaptation, diversity, and exploitation of global white lupin (Lupinus albus L.) landrace genetic resources

Cited by 68 publications

References 27 publications

Genotype by trait biplot analysis to study associations and profiles of Ethiopian white lupin (Lupinus albus L.) landraces

Genotype by trait biplot analysis to study associations and profiles of Ethiopian white lupin (Lupinus albus L.) landraces

Tamanho de parcela para avaliar caracteres de tremoço branco em épocas de avaliação

AMMI and GGE biplot analysis for barley genotype yield performance and stability under multi environment condition in southern Ethiopia

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