Combining ability for yield, protein and oil of peanut lines from South American centers of diversity

Layrisse, A.; Wynne, J. C.; Isleib, T. G.

doi:10.1007/bf00023203

Cited by 25 publications

(29 citation statements)

References 9 publications

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“…As a result, high selection pressure would have been applied on favorable alleles over the generations resulting in LD between non-syntenic loci pairs. Epistatic selection is also reported in peanut, between genes controlling some vital traits in segregating populations (Isleib et al 1978;Layrisse et al 1980;Isleib and Wynne 1983). Hence, selection might be one of the factors inducing LD between unlinked loci pairs in the peanut genome.…”

Section: Discussionmentioning

confidence: 95%

A first insight into population structure and linkage disequilibrium in the US peanut minicore collection

et al. 2011

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Knowledge of genetic diversity, population structure, and degree of linkage disequilibrium (LD) in target association mapping populations is of great importance and is a prerequisite for LD-based mapping. In the present study, 96 genotypes comprising 92 accessions of the US peanut minicore collection, a component line of the tetraploid variety Florunner, diploid progenitors A. duranensis (AA) and A. ipae¨nsis (BB), and synthetic amphidiploid accession TxAG-6 were investigated with 392 simple sequence repeat (SSR) marker bands amplified using 32 highly-polymorphic SSR primer pairs. Both distance-and model-based (Bayesian) cluster analysis revealed the presence of structured diversity. In general, the wild-species accessions and the synthetic amphidiploid grouped separately from most minicore accessions except for COC155, and were eliminated from most subsequent analyses. UPGMA analysis divided the population into four subgroups, two major subgroups representing subspecies fastigiata and hypogaea, a third group containing individuals from each subspecies or possibly of mixed ancestry, and a fourth group, either consisting of COC155 alone if wild species were excluded, or of COC155, the diploid species, and the synthetic amphidiploid. Modelbased clustering identified four subgroups-one each for fastigiata and hypogaea subspecies, a third consisting of individuals of both subspecies or of mixed ancestry predominantly from Africa or Asia, and a fourth group, consisting of individuals predominantly of var fastigiata, peruviana, and aequatoriana accessions from South America, including COC155. Analysis of molecular variance (AMOVA) revealed statistically-significant (P \ 0.0001) genetic variance of 16.87% among subgroups. A total of 4.85% of SSR marker pairs revealed significant LD (at r 2 C 0.1). Of the syntenic marker pairs separated by distances \ 10 cM, 11-20 cM, 21-50 cM, and [ 50 cM, 19.33, 5.19, 6.25 and 5.29% of marker pairs were found in strong LD (P B 0.01), in accord with LD extending to great distances in self pollinated crops. A threshold value of r 2 [ 0.035 was found to distinguish mean r 2 values of linkage distance groups statistically from the mean r 2 values of unlinked markers; LD was found to extend to 10 cM over the entire minicore collection by this criterion. However, there were large differences in r 2 values among marker pairs even among tightly-linked markers. The implications of these findings with regard to the possibility of using Vikas Belamkar-This work was performed in partial fulfillment of the requirements for the Master of Science degree.

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Section: Discussionmentioning

confidence: 95%

A first insight into population structure and linkage disequilibrium in the US peanut minicore collection

et al. 2011

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“…The performance of parental lines was generally a good predictor of hybrid oil content [3,4]. Cytoplasmic (maternal) effects were significant in the 1 generation in a study by Isleib et al [3] but were much less pronounced in a study using 2 s [4].…”

Section: Introductionmentioning

confidence: 89%

“…Layrisse et al [4] observed a significant positive correlation between oil content and yield based on GCA effects. Correlations between oil content and seed mass, pod weight, and pod length were not significant.…”

Section: Introductionmentioning

confidence: 96%

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Diallel Anaysis of Oil Production Components in Peanut (Arachis hypogaeaL.)

Wilson

Baring

Burow

et al. 2013

International Journal of Agronomy

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Peanut (Arachis hypogaeaL.) has the potential to become a major source of biodiesel, but for market viability, peanut oil yields must increase. Oil yield in peanut is influenced by many different components, including oil concentration, seed mass, and mean oil produced per seed. All of these traits can potentially be improved through selection as long as there is sufficient genetic variation. To assess the variation for these traits, a diallel mating design was used to estimate general combining ability, specific combining ability, and heritability. General combining ability estimates were significant for oil concentration, weight of 50 sound mature kernels (50 SMK), and mean milligrams oil produced per SMK (OPS). Specific combining ability was significant for oil concentration. Reciprocal effects were detected for OPS. Narrow-sense heritability estimates were very high for oil concentration and 50 SMK and low for OPS. The low OPS heritability estimate was caused by the negative correlation between oil concentration and seed size. Consequently, oil concentration and seed mass alone can be improved through early generation selection, but large segregating populations from high oil crosses will be needed to identify progeny with elevated oil concentrations that maintain acceptable seed sizes.

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“…Therefore, development of peanut cultivars whose seed composition profiles do not vary greatly from those of existing cultivars is desirable. However, peanut composition is influenced by several groups of factors including environmental factors (associated with years, production regions, locations within regions, and interactions of region and location with year), genetic factors (cultivars or breeding lines), and interaction between environmental and genetic factors (genotype-by-environment or ''GxE'' interaction) (Tai and Young, 1975;Layrisse et al, 1980;Yadava et al, 1980;Ali and Prasada Rao, 1982;Sykes and Michaels, 1986;Raheja et al, 1987;Branch et al, 1990;Grosso et al, 1994;Harch et al, 1995;Hammond et al, 1997;Ku et al, 1998;Upadhyaya and Nigam, 1999;Dwivedi et al, 2000;Andersen and Gorbet, 2002). In order to ascertain reasonable goals with respect to consistency of seed composition of peanuts, one must know the relative contributions of genotype, environment, and GxE interaction to seed composition.…”

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confidence: 99%

Genotype-by-Environment Interactions for Seed Composition Traits of Breeding Lines in The Uniform Peanut Performance Test

Isleib¹,

Tillman²,

Pattee³

et al. 2008

Peanut Science

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Peanut composition is influenced by several groups of factors: environmental, genetic, and their interaction. This study evaluated the relative contributions of these factors using data from the USDA-ARS quality testing program using samples from the multi-state Uniform Peanut Performance Tests (UPPT). Data were subjected to restricted maximum likelihood estimation of variance components reflecting the main effects of year, production region, location within region, genotype (cultivar or breeding line), and kernel grade (''seed size'') within genotype, and the interactions among these main effects. Genetic variation in oil content was low (9% of total variation); however, fatty acid composition of the oil was highly influenced by genotype (34-77%) with the exception of lignoceric acid (1%). Genetic influence on tocopherols was generally less than that of fatty acids. Environmental variation of tocopherols was greater than the variation attributable to genotype-by-environment interaction. The lowest genetic variation was observed in sugar content; however, environmental variation was high (68%). The magnitude of genetic influence on oil content and fatty acid concentrations suggests that these traits are amenable to improvement through breeding.

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Combining ability for yield, protein and oil of peanut lines from South American centers of diversity

Cited by 25 publications

References 9 publications

A first insight into population structure and linkage disequilibrium in the US peanut minicore collection

A first insight into population structure and linkage disequilibrium in the US peanut minicore collection

Diallel Anaysis of Oil Production Components in Peanut (Arachis hypogaeaL.)

Genotype-by-Environment Interactions for Seed Composition Traits of Breeding Lines in The Uniform Peanut Performance Test

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